{
"cells": [
{
"cell_type": "markdown",
"id": "8da35269",
"metadata": {},
"source": [
"# 08: Working with tabular data in Pandas\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"id": "adea9fbe",
"metadata": {},
"source": [
"## Not that type of Panda -- Python's Pandas package\n",
"\n",
"Pandas is a powerful, flexible and easy to use open source data analysis and manipulation tool. Pandas is commonly used for operations that would normally be done in a spreadsheet environment and includes powerful data analysis and manipulation tools.\n",
"\n",
"Let's begin by importing the libraries and setting our data path "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3b885ca2",
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"import numpy as np\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import statsmodels.api as sm\n",
"from dataretrieval import nwis\n",
"from matplotlib.backends.backend_pdf import PdfPages\n",
"from scipy.signal import detrend\n",
"\n",
"data_path = Path(\"..\", \"data\", \"pandas\")"
]
},
{
"cell_type": "markdown",
"id": "f32f58cb",
"metadata": {},
"source": [
"## Get site information data for part of the Russian River near Guerneville, CA from NWIS "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "54ae9a40",
"metadata": {},
"outputs": [
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" agency_cd site_no station_nm \\\n",
"0 USGS 11467000 RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA \n",
"1 USGS 11467002 RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA \n",
"2 USGS 11467006 RUSSIAN R A VACATION BEACH CA \n",
"3 USGS 11467050 BIG AUSTIN C A CAZADERO CA \n",
"4 USGS 11467200 AUSTIN C NR CAZADERO CA \n",
"\n",
" site_tp_cd lat_va long_va dec_lat_va dec_long_va coord_meth_cd \\\n",
"0 ST 383031.0 1225536.0 38.508523 -122.927774 M \n",
"1 ST 382958.0 1225950.0 38.499358 -122.998333 M \n",
"2 ST 382903.0 1230041.0 38.484080 -123.012500 M \n",
"3 ST 383215.0 1230518.0 38.537413 -123.089447 M \n",
"4 ST 383024.0 1230407.0 38.506580 -123.069724 M \n",
"\n",
" coord_acy_cd ... local_time_fg reliability_cd gw_file_cd nat_aqfr_cd \\\n",
"0 F ... Y NaN NNNNNNNN NaN \n",
"1 F ... Y NaN NNNNNNNN NaN \n",
"2 F ... Y NaN NNNNNNNN NaN \n",
"3 F ... Y NaN NNNNNNNN NaN \n",
"4 S ... Y NaN NNNNNNNN NaN \n",
"\n",
" aqfr_cd aqfr_type_cd well_depth_va hole_depth_va depth_src_cd project_no \n",
"0 NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN 967760420 \n",
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"metadata": {},
"output_type": "execute_result"
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],
"source": [
"bbox = (-123.10, 38.45, -122.90, 38.55)\n",
"info, metadata = nwis.get_info(bBox=[str(i) for i in bbox])\n",
"info\n",
"info.to_csv(data_path / \"site_info.csv\", index=False)\n",
"info.head()"
]
},
{
"cell_type": "markdown",
"id": "0bc3b4d3",
"metadata": {},
"source": [
"Wow that's a lot of gages in this location, let's info on all of them and then use this data to learn about pandas"
]
},
{
"cell_type": "markdown",
"id": "3740b558",
"metadata": {},
"source": [
"The data returned to us from our NWIS query `info` was returned to us as pandas `DataFrame`. We'll be working with this to start learning about the basics of pandas."
]
},
{
"cell_type": "markdown",
"id": "ab43af55",
"metadata": {},
"source": [
"## Viewing data in pandas\n",
"\n",
"Pandas has built in methods to inspect `DataFrame` objects. We'll look at a few handy methods:\n",
"\n",
" - `.head()`: inspect the first few rows of data\n",
" - `.tail()`: inspect the last few rows of data\n",
" - `.index()`: show the row indexes\n",
" - `.columns()`: show the column names\n",
" - `.describe()`: statistically describe the data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "12384282",
"metadata": {},
"outputs": [
{
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" agency_cd site_no station_nm \\\n",
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"1 USGS 11467002 RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA \n",
"2 USGS 11467006 RUSSIAN R A VACATION BEACH CA \n",
"3 USGS 11467050 BIG AUSTIN C A CAZADERO CA \n",
"4 USGS 11467200 AUSTIN C NR CAZADERO CA \n",
"\n",
" site_tp_cd lat_va long_va dec_lat_va dec_long_va coord_meth_cd \\\n",
"0 ST 383031.0 1225536.0 38.508523 -122.927774 M \n",
"1 ST 382958.0 1225950.0 38.499358 -122.998333 M \n",
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"2 F ... Y NaN NNNNNNNN NaN \n",
"3 F ... Y NaN NNNNNNNN NaN \n",
"4 S ... Y NaN NNNNNNNN NaN \n",
"\n",
" aqfr_cd aqfr_type_cd well_depth_va hole_depth_va depth_src_cd project_no \n",
"0 NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN 967760420 \n",
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"info.head()"
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"21 USGS 383012122574501 RUSSIAN R A ODD FELLOWS PARK NR RIO NIDO CA \n",
"22 USGS 383016123041101 008N011W27N001M \n",
"23 USGS 383028122554501 HOBSON C NR HACIENDA CA \n",
"24 USGS 383034122590701 008N010W29H004M \n",
"\n",
" site_tp_cd lat_va long_va dec_lat_va dec_long_va coord_meth_cd \\\n",
"20 ST 383009.0 1225430.0 38.502500 -122.908333 G \n",
"21 ST 383012.0 1225745.0 38.503333 -122.962500 G \n",
"22 GW 383016.3 1230411.0 38.504528 -123.069722 G \n",
"23 ST 383028.0 1225545.0 38.507778 -122.929167 G \n",
"24 GW 383034.4 1225907.9 38.509556 -122.985528 G \n",
"\n",
" coord_acy_cd ... local_time_fg reliability_cd gw_file_cd nat_aqfr_cd \\\n",
"20 U ... Y NaN NaN NaN \n",
"21 F ... Y NaN NaN NaN \n",
"22 5 ... Y C YY Y NaN \n",
"23 U ... Y NaN NaN NaN \n",
"24 5 ... Y C YY Y N100CACSTL \n",
"\n",
" aqfr_cd aqfr_type_cd well_depth_va hole_depth_va depth_src_cd project_no \n",
"20 NaN NaN NaN NaN NaN 967760420 \n",
"21 NaN NaN NaN NaN NaN 967760420 \n",
"22 NaN NaN 30.0 30.0 D 00BHM8187 \n",
"23 NaN NaN NaN NaN NaN 967760420 \n",
"24 NaN NaN 99.0 110.0 D 9677BHM32 \n",
"\n",
"[5 rows x 42 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info.tail()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "40ec8e5e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RangeIndex(start=0, stop=25, step=1)\n"
]
}
],
"source": [
"# print the index names\n",
"print(info.index)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7a1c0d8a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['agency_cd', 'site_no', 'station_nm', 'site_tp_cd', 'lat_va', 'long_va',\n",
" 'dec_lat_va', 'dec_long_va', 'coord_meth_cd', 'coord_acy_cd',\n",
" 'coord_datum_cd', 'dec_coord_datum_cd', 'district_cd', 'state_cd',\n",
" 'county_cd', 'country_cd', 'land_net_ds', 'map_nm', 'map_scale_fc',\n",
" 'alt_va', 'alt_meth_cd', 'alt_acy_va', 'alt_datum_cd', 'huc_cd',\n",
" 'basin_cd', 'topo_cd', 'instruments_cd', 'construction_dt',\n",
" 'inventory_dt', 'drain_area_va', 'contrib_drain_area_va', 'tz_cd',\n",
" 'local_time_fg', 'reliability_cd', 'gw_file_cd', 'nat_aqfr_cd',\n",
" 'aqfr_cd', 'aqfr_type_cd', 'well_depth_va', 'hole_depth_va',\n",
" 'depth_src_cd', 'project_no'],\n",
" dtype='object')\n",
"['agency_cd', 'site_no', 'station_nm', 'site_tp_cd', 'lat_va', 'long_va', 'dec_lat_va', 'dec_long_va', 'coord_meth_cd', 'coord_acy_cd', 'coord_datum_cd', 'dec_coord_datum_cd', 'district_cd', 'state_cd', 'county_cd', 'country_cd', 'land_net_ds', 'map_nm', 'map_scale_fc', 'alt_va', 'alt_meth_cd', 'alt_acy_va', 'alt_datum_cd', 'huc_cd', 'basin_cd', 'topo_cd', 'instruments_cd', 'construction_dt', 'inventory_dt', 'drain_area_va', 'contrib_drain_area_va', 'tz_cd', 'local_time_fg', 'reliability_cd', 'gw_file_cd', 'nat_aqfr_cd', 'aqfr_cd', 'aqfr_type_cd', 'well_depth_va', 'hole_depth_va', 'depth_src_cd', 'project_no']\n"
]
}
],
"source": [
"# print the column names\n",
"print(info.columns)\n",
"\n",
"# print the column names as a list\n",
"print(list(info))"
]
},
{
"cell_type": "markdown",
"id": "2bff1bcf",
"metadata": {},
"source": [
"The `describe()` method is only useful for numerical data. This example is does not have a lot of useful data for `describe()`, however we'll use it again later"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f86033a1",
"metadata": {},
"outputs": [
{
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"text/plain": [
" lat_va long_va dec_lat_va dec_long_va district_cd \\\n",
"count 25.000000 2.500000e+01 25.000000 25.000000 25.0 \n",
"mean 382930.716000 1.227999e+06 38.490956 -122.989798 6.0 \n",
"std 129.549182 2.349959e+03 0.021226 0.060306 0.0 \n",
"min 382701.000000 1.225404e+06 38.450278 -123.089447 6.0 \n",
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"max 383215.000000 1.230518e+06 38.537413 -122.901222 6.0 \n",
"\n",
" state_cd county_cd map_scale_fc alt_va alt_acy_va huc_cd \\\n",
"count 25.0 25.0 22.0 23.000000 23.000000 25.0 \n",
"mean 6.0 97.0 24000.0 44.040435 11.865652 18010110.0 \n",
"std 0.0 0.0 0.0 41.449315 9.492186 0.0 \n",
"min 6.0 97.0 24000.0 2.000000 0.010000 18010110.0 \n",
"25% 6.0 97.0 24000.0 21.570000 1.600000 18010110.0 \n",
"50% 6.0 97.0 24000.0 43.000000 20.000000 18010110.0 \n",
"75% 6.0 97.0 24000.0 48.000000 20.000000 18010110.0 \n",
"max 6.0 97.0 24000.0 211.000000 20.000000 18010110.0 \n",
"\n",
" basin_cd construction_dt inventory_dt drain_area_va \\\n",
"count 0.0 5.000000e+00 8.000000e+00 6.000000 \n",
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"std NaN 5.202210e+04 3.689536e+04 691.350481 \n",
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"25% NaN 1.984062e+07 2.004091e+07 381.600000 \n",
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"75% NaN 1.994110e+07 2.006082e+07 1366.500000 \n",
"max NaN 1.994120e+07 2.012072e+07 1461.000000 \n",
"\n",
" contrib_drain_area_va aqfr_cd aqfr_type_cd well_depth_va \\\n",
"count 0.0 0.0 0.0 6.000000 \n",
"mean NaN NaN NaN 59.166667 \n",
"std NaN NaN NaN 37.434832 \n",
"min NaN NaN NaN 22.000000 \n",
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"\n",
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"std 42.435834 \n",
"min 22.000000 \n",
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"max 110.000000 "
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info.describe()"
]
},
{
"cell_type": "markdown",
"id": "09d73a52",
"metadata": {},
"source": [
"## Getting data from a pandas dataframe\n",
"\n",
"There are multiple methods to get data out of a pandas dataframe as either a \"series\", numpy array, or a list\n",
"\n",
"Let's start by getting data as a series using a few methods"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1e4d13e4",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 11467000\n",
"1 11467002\n",
"2 11467006\n",
"3 11467050\n",
"4 11467200\n",
"5 11467210\n",
"6 382701123025801\n",
"7 382752123003401\n",
"8 382754123030501\n",
"9 382757123003801\n",
"10 382808122565401\n",
"11 382815123024601\n",
"12 382819123010001\n",
"13 382944123002901\n",
"14 382955122594101\n",
"15 383001122540701\n",
"16 383003122540401\n",
"17 383003122540402\n",
"18 383003122540403\n",
"19 383006123000601\n",
"20 383009122543001\n",
"21 383012122574501\n",
"22 383016123041101\n",
"23 383028122554501\n",
"24 383034122590701\n",
"Name: site_no, dtype: object"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# get a series of site numbers by key\n",
"info[\"site_no\"]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "daff4fea",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA\n",
"1 RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA\n",
"2 RUSSIAN R A VACATION BEACH CA\n",
"3 BIG AUSTIN C A CAZADERO CA\n",
"4 AUSTIN C NR CAZADERO CA\n",
"5 RUSSIAN R A DUNCANS MILLS CA\n",
"6 FREEZEOUT C NR DUNCANS MILLS CA\n",
"7 DUTCH BILL C A MONTE RIO CA\n",
"8 RUSSIAN R A CASINI RANCH NR DUNCANS MILLS CA\n",
"9 RUSSIAN R A MONTE RIO CA\n",
"10 007N010W10H001M\n",
"11 AUSTIN C NR DUNCANS MILLS CA\n",
"12 007N010W07D001M\n",
"13 HULBERT C NR GUERNEVILLE CA\n",
"14 POCKET CYN C A GUERNEVILLE CA\n",
"15 008N009W31C002M\n",
"16 008N009W31C003M\n",
"17 008N009W31C004M\n",
"18 008N009W31C005M\n",
"19 FIFE C A GUERNEVILLE CA\n",
"20 GREEN VALLEY C NR MIRABEL HEIGHTS CA\n",
"21 RUSSIAN R A ODD FELLOWS PARK NR RIO NIDO CA\n",
"22 008N011W27N001M\n",
"23 HOBSON C NR HACIENDA CA\n",
"24 008N010W29H004M\n",
"Name: station_nm, dtype: object"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# get station names by attribute\n",
"info.station_nm"
]
},
{
"cell_type": "markdown",
"id": "5bbba79a",
"metadata": {},
"source": [
"getting data from a dataframe as a numpy array can be accomplished by using `.values`"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d98d409c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array(['RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA',\n",
" 'RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA',\n",
" 'RUSSIAN R A VACATION BEACH CA', 'BIG AUSTIN C A CAZADERO CA',\n",
" 'AUSTIN C NR CAZADERO CA', 'RUSSIAN R A DUNCANS MILLS CA',\n",
" 'FREEZEOUT C NR DUNCANS MILLS CA', 'DUTCH BILL C A MONTE RIO CA',\n",
" 'RUSSIAN R A CASINI RANCH NR DUNCANS MILLS CA',\n",
" 'RUSSIAN R A MONTE RIO CA', '007N010W10H001M',\n",
" 'AUSTIN C NR DUNCANS MILLS CA', '007N010W07D001M',\n",
" 'HULBERT C NR GUERNEVILLE CA', 'POCKET CYN C A GUERNEVILLE CA',\n",
" '008N009W31C002M', '008N009W31C003M', '008N009W31C004M',\n",
" '008N009W31C005M', 'FIFE C A GUERNEVILLE CA',\n",
" 'GREEN VALLEY C NR MIRABEL HEIGHTS CA',\n",
" 'RUSSIAN R A ODD FELLOWS PARK NR RIO NIDO CA', '008N011W27N001M',\n",
" 'HOBSON C NR HACIENDA CA', '008N010W29H004M'], dtype=object)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info.station_nm.values"
]
},
{
"cell_type": "markdown",
"id": "31def645",
"metadata": {},
"source": [
"### Selection by position\n",
"\n",
"We can get data by position in the dataframe using the `.iloc` attribute "
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "730501c2",
"metadata": {},
"outputs": [
{
"data": {
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RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA
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" site_no station_nm site_tp_cd\n",
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"execution_count": 11,
"metadata": {},
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"info.iloc[0:2, 1:4]"
]
},
{
"cell_type": "markdown",
"id": "b4d7c291",
"metadata": {},
"source": [
"### Selection by label\n",
"\n",
"Pandas allows the user to get data from the dataframe by index and column labels"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "b430c660",
"metadata": {},
"outputs": [
{
"data": {
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site_tp_cd
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" \n",
" \n",
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0
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11467000
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RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA
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ST
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1
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11467002
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RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA
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ST
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2
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RUSSIAN R A VACATION BEACH CA
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ST
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3
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11467050
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ST
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"text/plain": [
" site_no station_nm site_tp_cd\n",
"0 11467000 RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA ST\n",
"1 11467002 RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA ST\n",
"2 11467006 RUSSIAN R A VACATION BEACH CA ST\n",
"3 11467050 BIG AUSTIN C A CAZADERO CA ST"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"info.loc[0:3, [\"site_no\", \"station_nm\", \"site_tp_cd\"]]"
]
},
{
"cell_type": "markdown",
"id": "43700bbe",
"metadata": {},
"source": [
"### Boolean indexing\n",
"\n",
"pandas dataframes supports boolean indexing that allows a user to create a new dataframe with only the data that meets a boolean condition defined by the user.\n",
"\n",
"Let's get a dataframe of only groundwater sites from the `info` dataframe"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "24ea2d22",
"metadata": {},
"outputs": [
{
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" agency_cd site_no station_nm site_tp_cd lat_va \\\n",
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"12 USGS 382819123010001 007N010W07D001M GW 382819.9 \n",
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"22 USGS 383016123041101 008N011W27N001M GW 383016.3 \n",
"24 USGS 383034122590701 008N010W29H004M GW 383034.4 \n",
"\n",
" long_va dec_lat_va dec_long_va coord_meth_cd coord_acy_cd ... \\\n",
"10 1225654.2 38.469028 -122.948389 G 5 ... \n",
"12 1230100.8 38.472194 -123.016889 G 5 ... \n",
"15 1225407.7 38.500528 -122.902139 G 5 ... \n",
"16 1225404.4 38.500917 -122.901222 G 1 ... \n",
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"22 1230411.0 38.504528 -123.069722 G 5 ... \n",
"24 1225907.9 38.509556 -122.985528 G 5 ... \n",
"\n",
" local_time_fg reliability_cd gw_file_cd nat_aqfr_cd aqfr_cd \\\n",
"10 Y C YY Y NaN NaN \n",
"12 Y C YY N100CACSTL NaN \n",
"15 Y C YY N100CACSTL NaN \n",
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"\n",
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},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfgw = info[info[\"site_tp_cd\"] == \"GW\"]\n",
"dfgw"
]
},
{
"cell_type": "markdown",
"id": "b55d5649",
"metadata": {},
"source": [
"### Reading and writing data to `.csv` files\n",
"\n",
"Pandas has support to both read and write many types of files. For this example we are focusing on `.csv` files. For information on other file types that are supported see the [ten minutes to pandas](https://pandas.pydata.org/docs/user_guide/10min.html#importing-and-exporting-data) tutorial documentation"
]
},
{
"cell_type": "markdown",
"id": "8d69feb7",
"metadata": {},
"source": [
"For this part we'll write a new `.csv` file of the groundwater sites that we found in NWIS using `to_csv()`.\n",
"\n",
"`to_csv()` has a bunch of handy options for writing to file. For this example, I'm going to drop the index column while writing by passing `index=False`"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "ecb2281a",
"metadata": {},
"outputs": [],
"source": [
"csv_file = data_path / \"RussianRiverGWsites.csv\"\n",
"dfgw.to_csv(csv_file, index=False)"
]
},
{
"cell_type": "markdown",
"id": "485540c8",
"metadata": {},
"source": [
"Now we can load the csv file back into a pandas dataframe with the `read_csv()` method."
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "da14892b",
"metadata": {},
"outputs": [
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"text/plain": [
" agency_cd site_no station_nm site_tp_cd lat_va long_va \\\n",
"0 USGS 382808122565401 007N010W10H001M GW 382808.5 1225654.2 \n",
"1 USGS 382819123010001 007N010W07D001M GW 382819.9 1230100.8 \n",
"2 USGS 383001122540701 008N009W31C002M GW 383001.9 1225407.7 \n",
"3 USGS 383003122540401 008N009W31C003M GW 383003.3 1225404.4 \n",
"4 USGS 383003122540402 008N009W31C004M GW 383003.3 1225404.4 \n",
"5 USGS 383003122540403 008N009W31C005M GW 383003.3 1225404.4 \n",
"6 USGS 383016123041101 008N011W27N001M GW 383016.3 1230411.0 \n",
"7 USGS 383034122590701 008N010W29H004M GW 383034.4 1225907.9 \n",
"\n",
" dec_lat_va dec_long_va coord_meth_cd coord_acy_cd ... local_time_fg \\\n",
"0 38.469028 -122.948389 G 5 ... Y \n",
"1 38.472194 -123.016889 G 5 ... Y \n",
"2 38.500528 -122.902139 G 5 ... Y \n",
"3 38.500917 -122.901222 G 1 ... Y \n",
"4 38.500917 -122.901222 G 1 ... Y \n",
"5 38.500917 -122.901222 G 1 ... Y \n",
"6 38.504528 -123.069722 G 5 ... Y \n",
"7 38.509556 -122.985528 G 5 ... Y \n",
"\n",
" reliability_cd gw_file_cd nat_aqfr_cd aqfr_cd aqfr_type_cd well_depth_va \\\n",
"0 C YY Y NaN NaN NaN 22.0 \n",
"1 C YY N100CACSTL NaN NaN 99.0 \n",
"2 C YY N100CACSTL NaN NaN 80.0 \n",
"3 C YY Y N100CACSTL NaN NaN NaN \n",
"4 C Y N100CACSTL NaN NaN NaN \n",
"5 C YY Y N100CACSTL NaN NaN 25.0 \n",
"6 C YY Y NaN NaN NaN 30.0 \n",
"7 C YY Y N100CACSTL NaN NaN 99.0 \n",
"\n",
" hole_depth_va depth_src_cd project_no \n",
"0 22.0 D 00BHM8187 \n",
"1 110.0 D 9677BHM32 \n",
"2 80.0 D 9677BHM32 \n",
"3 NaN NaN 967760420 \n",
"4 NaN NaN 967760420 \n",
"5 NaN S 967760420 \n",
"6 30.0 D 00BHM8187 \n",
"7 110.0 D 9677BHM32 \n",
"\n",
"[8 rows x 42 columns]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dfgw2 = pd.read_csv(csv_file)\n",
"dfgw2"
]
},
{
"cell_type": "markdown",
"id": "5e5db256",
"metadata": {},
"source": [
"## Class exercise 1 \n",
"\n",
"Using the methods presented in this notebook create a `DataFrame` of surface water sites from the `info` dataframe, write it to a csv file named `\"RussianRiverSWsites.csv\"`, and read it back in as a new `DataFrame`"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "126bba4e",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"\n",
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" \n",
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agency_cd
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site_no
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station_nm
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site_tp_cd
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lat_va
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long_va
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dec_lat_va
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coord_meth_cd
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coord_acy_cd
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local_time_fg
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reliability_cd
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gw_file_cd
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nat_aqfr_cd
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aqfr_cd
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aqfr_type_cd
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well_depth_va
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project_no
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0
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USGS
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11467000
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RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA
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ST
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1225536.0
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38.508523
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1
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11467002
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RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA
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ST
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382958.0
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1225950.0
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38.499358
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-122.998333
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M
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...
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967760420.0
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2
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USGS
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11467006
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RUSSIAN R A VACATION BEACH CA
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ST
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382903.0
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1230041.0
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38.484080
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-123.012500
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USGS
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BIG AUSTIN C A CAZADERO CA
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ST
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383215.0
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1230518.0
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38.537413
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...
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4
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USGS
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11467200
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AUSTIN C NR CAZADERO CA
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ST
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383024.0
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1230407.0
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38.506580
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-123.069724
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S
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...
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967700102.0
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5 rows × 42 columns
\n",
"
"
],
"text/plain": [
" agency_cd site_no station_nm \\\n",
"0 USGS 11467000 RUSSIAN R A HACIENDA BRIDGE NR GUERNEVILLE CA \n",
"1 USGS 11467002 RUSSIAN R A JOHNSONS BEACH A GUERNEVILLE CA \n",
"2 USGS 11467006 RUSSIAN R A VACATION BEACH CA \n",
"3 USGS 11467050 BIG AUSTIN C A CAZADERO CA \n",
"4 USGS 11467200 AUSTIN C NR CAZADERO CA \n",
"\n",
" site_tp_cd lat_va long_va dec_lat_va dec_long_va coord_meth_cd \\\n",
"0 ST 383031.0 1225536.0 38.508523 -122.927774 M \n",
"1 ST 382958.0 1225950.0 38.499358 -122.998333 M \n",
"2 ST 382903.0 1230041.0 38.484080 -123.012500 M \n",
"3 ST 383215.0 1230518.0 38.537413 -123.089447 M \n",
"4 ST 383024.0 1230407.0 38.506580 -123.069724 M \n",
"\n",
" coord_acy_cd ... local_time_fg reliability_cd gw_file_cd nat_aqfr_cd \\\n",
"0 F ... Y NaN NNNNNNNN NaN \n",
"1 F ... Y NaN NNNNNNNN NaN \n",
"2 F ... Y NaN NNNNNNNN NaN \n",
"3 F ... Y NaN NNNNNNNN NaN \n",
"4 S ... Y NaN NNNNNNNN NaN \n",
"\n",
" aqfr_cd aqfr_type_cd well_depth_va hole_depth_va depth_src_cd project_no \n",
"0 NaN NaN NaN NaN NaN NaN \n",
"1 NaN NaN NaN NaN NaN 967760420.0 \n",
"2 NaN NaN NaN NaN NaN 967760420.0 \n",
"3 NaN NaN NaN NaN NaN NaN \n",
"4 NaN NaN NaN NaN NaN 967700102.0 \n",
"\n",
"[5 rows x 42 columns]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"csv_name = data_path / \"RussianRiverSWsites.csv\"\n",
"dfsw = info[info.site_tp_cd == \"ST\"]\n",
"dfsw.to_csv(csv_name, index=False)\n",
"\n",
"dfsw = pd.read_csv(csv_name)\n",
"dfsw.head()"
]
},
{
"cell_type": "markdown",
"id": "2182d335",
"metadata": {},
"source": [
"## Get timeseries data from NWIS for surface water sites\n",
"\n",
"Now to start working with stream gage data from NWIS. We're going to send all surface water sites to NWIS and get only sites with daily discharge measurements.\n",
"\n",
"([11467002](https://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=11467002))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "edd1afbc",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"\n",
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"text/plain": [
" site_no 00060_Mean 00060_Mean_cd\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 11467000 185.0 A, e\n",
"1939-10-02 00:00:00+00:00 11467000 185.0 A, e\n",
"1939-10-03 00:00:00+00:00 11467000 185.0 A, e\n",
"1939-10-04 00:00:00+00:00 11467000 185.0 A, e\n",
"1939-10-05 00:00:00+00:00 11467000 185.0 A, e"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# filter for only SW sites\n",
"dfsw = info[info.site_tp_cd == \"ST\"]\n",
"\n",
"# create query\n",
"sites = dfsw.site_no.to_list()\n",
"pcode = \"00060\"\n",
"start_date = \"1939-09-22\"\n",
"end_date = \"2023-12-31\"\n",
"df, metadata = nwis.get_dv(\n",
" sites=sites, \n",
" start=start_date, \n",
" end=end_date, \n",
" parameterCd=pcode, \n",
" multi_index=False\n",
")\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"id": "9f00ba06",
"metadata": {},
"source": [
"Awesome! There are two gages in this study area that have daily discharge data!\n",
"\n",
"### Inspect the data using `.plot()`"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "e2970f2e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = df.plot()\n",
"ax.set_ylabel(r\"cubic meter per second\")\n",
"ax.set_yscale(\"log\")"
]
},
{
"cell_type": "markdown",
"id": "fa2c35dd",
"metadata": {},
"source": [
"### Updating column names\n",
"\n",
"Let's update column names for these gages based on their locations instead of their USGS gage id. First we'll get name information from the `info` class and then we'll use the station name information to remap the column names.\n",
"\n",
"the `rename()` method accepts a dictionary that is formatted `{current_col_name: new_col_name}`"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "b800fbbc",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df2 = df[['site_no', '00060_Mean']].pivot(columns=['site_no'])\n",
"df2.columns = df2.columns.get_level_values(1)\n",
"\n",
"site_names = {site_no: '_'.join(name.split()[:2]).lower() for site_no, name \n",
" in info.groupby('site_no')['station_nm'].first().loc[df2.columns].items()}\n",
"df2.rename(columns=site_names, inplace=True)\n",
"df2.plot()"
]
},
{
"cell_type": "markdown",
"id": "f2c20720",
"metadata": {},
"source": [
"### Adding a new column of data to the dataframe\n",
"\n",
"Adding new columns of data is relatively simple in pandas. The call signature is similar to a dictionary where df[\"key\"] = \"some_array_of_values\"\n",
"\n",
"Let's add a year column (water year) to the dataframe by getting the year from the index and adjusting it using `np.where()`"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "39ebd1e7",
"metadata": {},
"outputs": [],
"source": [
"df2['year'] = np.where(df2.index.month >=10, df2.index.year, df2.index.year - 1)"
]
},
{
"cell_type": "markdown",
"id": "5ccdd9e2",
"metadata": {},
"source": [
"### Manipulating data\n",
"\n",
"Columns in a pandas dataframe can be manipulated similarly to working with a dictionary of numpy arrays. The discharge data units are $\\frac{ft^3}{s}$, let's accumulate this to daily discharge in $\\frac {ft^3}{d}$.\n",
"\n",
"The conversion for this is:\n",
"\n",
"## $ \\frac{1 ft^3}{s} \\times \\frac{60s}{min} \\times \\frac{60min}{hour} \\times \\frac{24hours}{day} \\rightarrow \\frac{ft^3}{day} $\n",
"\n",
"and then convert that to acre-feet (1 acre-ft = 43559.9)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "b294a0ac",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"conv = 60 * 60 * 24\n",
"df2[\"russian_r_cfd\"] = df2.russian_r * conv\n",
"df2[\"russian_r_af\"] = df2.russian_r_cfd / 43559.9\n",
"df2\n",
"\n",
"# now let's plot up discharge from 2018 - 2020\n",
"dfplt = df2[(df2[\"year\"] >= 2015) & (df2[\"year\"] <= 2020)]\n",
"ax = dfplt[\"russian_r_af\"].plot()\n",
"ax.set_yscale(\"log\")\n"
]
},
{
"cell_type": "markdown",
"id": "112292ee",
"metadata": {},
"source": [
"## Class exercise 2:\n",
"\n",
"Using the methods described in the notebook. Convert the discharge for `\"austin_c\"` from $\\frac{m^3}{s}$ acre-ft by adding two additional fields to `df2` named `\"austin_c_cfs\"` and `\"austin_c_af\"`. \n",
"\n",
"After these two fields have been added to df2 use boolean indexing to create a new dataframe from 2015 through 2020. Finally plot the discharge data (in acre-ft) for \"austin_cr\".\n",
"\n",
"**bonus exercise** try to plot both `\"russian_r_af\"` and `\"austin_c_af\"` on the same plot"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "e92c3bc7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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VV5FKcG5UV1GCwbnxBFHaDfar93UYOI6Dkykh22tTtyZLIFqMS5wDKlpc1u88hm+au7B5f5Om93V7/TjZ6Y29oYkg3UIYjW2ESzKJ5O+nGBcBVrhEuuEHeD5qym5U4RJlnNMtFZUl0njyCZxmSotLvBlzVkT8imqnULzXtrKInden7f2n//odTHtoPVqjBLYTBCGHhIsGIt2C4hUido0bcDEr9UjfMRAjOFd8W4YzfDkXLUsmjWr6hcNaXJg/Eg0UZefedCiWKC5I1EartbsXbT3axYRDYXX0ahg/nufRHkwt3tWQ3q0rCCIeSLhoQK86LnZdxTo1rNS1ajang4PS80SuIg0ww5CocGHfZleRzSKOUySL6iufH9W8L06xn14NmV1dTEB6doY1iv/xPI/q2hajD4NIc0i4aCCSSf7uV7bHtR+7Bjy6nGw2inDDVgbw9foCmuIwnBwXFjMTLTZIy8rWrrCjEuDVH8ezL/Y8t6vIZokl8Fq7tVtcvP6ATOxFE9sibCG3DIv0iXrtizq8Uq1d0BFEMrDG1WIwke5vB453xrWfeJsyWgXWvy+KM6XDx+MLaCpL71AVLpHHrSdK4Tq7w0ewsiRicVFmz6VHcK7wO9JwdUVJ0Vfi9QVkCxMtwqW9JyRcrFIHZo1CtKRDvR/CfJBw0UCil6Yy+t6uq1hWaESyjnh8fk2WAI6Tx8wA0cetp9cPnufRmYZlyFkh6O+rcIHCVWTTc5UlWuXcePH4/DKxp6UIoIcpuqhF6JgB5Uilc3A8YRwkXLSQ4MWZqTD/pkPcgGRxUYg2jy+gKR7F6eBkFVyB6Kv/bq8fD76xExPuW4cth07Ef8A2we9nhUv87+d5+aRklYm0L4jnaqTTMh5B4/UF4GXEipbSB6yFxipuZOVhWuW4CXtBwkUDiV6aygk4HS7ySBOepzegaRwdHBcWqBjVVeTz49mPDgEAHlu3R+th2gJ2wpVZXBI4z5RWmnQ4V6NVzgUgEyKx8PoCmP7wO3G9l13IWGVRo1x8WMXFRdgLEi4x4PnEi3u5XfIJ2K4xLuzNLLLFxa9pHB2O8C7FsVxFIulgJWCRBecyE18ik4nPL2+CaddzlUUqQBdhvLrjiHE51uaRv1dD5Vz2vLaKUFQOlVWOm7AXphMu7e3tmDFjBqZOnYpJkybhz3/+s9GHFDYR3Dx3NAD1miMsmU5lUSp7Tgbs6Pik4Fz5d+/pjdGsKIiDk2cpAeGZQ+xE080E56ZDXAaLTDDKYlzi31evP6BwFdl/LMUhizRe8QTndimESrc3dswVWyvHKqI7HS1zZqKhtQcf7tVWldnOuIw+ACU5OTn44IMPkJOTg66uLkycOBELFizAgAEDDDsm5aWZl5UBQLi5+wN8xF49ypTgdMiAEVfqyjHx+PyaYgacHBcWnKsUfOy90pPGFhcWeTp0/JNJr18uLO0mAnmeD7seQ+Ok/l3jES7KJqGdGt774Bs7pcdWEQBkcTGWM5a+CwB47v+djnPGDjT4aIzDdBYXp9OJnJwcAEBPTw/8fn9Ki4x9dbQVt79YLXtO+fE5mSEXUDzN1OzaeE0tG0XZMdqjsY4Lx3FhlizlBCK3uKSvcInoKkpgMvH65S0Z7OQq+ufWwzj9N+/iq6OtsudjBed292rPVOtUWFg6emK/d3dDu/TYMjEuCpHn5/mILrW6lm60x1F9mNDO5n3pbXXRXbhs3LgRl156KcrKysBxHNasWRO2zcqVKzFy5EhkZWWhsrISmzZtkr3e0tKCKVOmYOjQobjrrrtQXFys92FG5JI/fIhXa+pkzykvVjZ4NJoYUQouLX5vs9PrD+DKP27GA6/vUH1dvAGHW1wCmiwBDgfgUmRjdShSndl7vDzGxRo3f91gBaMsxkXj25n/R68/YNt06Lv+9SWOt3siLkgifdN4YlzaFMXqlOdsLKxiuVAe5sNv7ML4e99CzeEW2fPH2now65H3MOn+t3Hn6hqqcK0zaXevU6C7cOns7MSUKVPwxBNPqL6+evVq3HHHHbjnnntQXV2N2bNnY/78+aitrZW2KSwsxBdffIGDBw/i73//O44dOxbx8zweD9ra2mQ/uqM4R5xMAGlPlLgV8W0XTx4MwB7C5YM9x7Hl0Ekpk0eADTIUxkNZCbSn168pq0hwFYXHBrE1Lz74+rj0mLXGpEN/HRZZf6IEgnNlBecUMS52sriIKK0aoeBc9e3jcRW1KSws8VoaLGMtVIzVa18Ii7xH/rNL9jwrZF6pPoq61p5kH1laYdeGvVrRXbjMnz8fDz/8MBYsWKD6+rJly7Bo0SLceOONGD9+PJYvX47y8nI8+eSTYduWlpZi8uTJ2LhxY8TPW7p0KQoKCqSf8vJy3b4LIEwOyvsaxwFZQatLtFWZeEO8VBQucdwIzQobBNoQvBnJJ8AIFpde+Yp+yfljVffv4DjV8uedntDY/fD5rdJj1uJS19qDLg1BkXaE/b9oXb3LgnEVAtyOKzqlQJGESwRJHWuhce6pJVg8b7Tqa+1xWlysErgfSRS3K4SbsoaVFtcZoR2ruBaTRUpjXLxeL7Zt24aqqirZ81VVVdi8eTMA4NixY5LVpK2tDRs3bsS4ceMi7vPuu+9Ga2ur9HP48GHdj1tp5mRrjUR1FQVviNmZQgy0xxewfIlstrz/fa99Ffa6OGkq41SUwbnjBuVJj/sxMUMOByfLKsrKEE7RSJVxlRPs95/6JOZ3sAuRSv5rtcqz7/H65SX/7WhxUQqUvpb8X3L+WCw8Y4Tqa/FO1MqJ36xEOrWUrjHl4iNe1xkRHau4FpNFSrOKmpqa4Pf7UVpaKnu+tLQUDQ0NAIAjR45g0aJFwd4pPG655RZMnjw54j7dbjfcbjdWrFiBFStWwO/X36qhvLFxXChAN9rNTXyfLJjX50dOpumSuTTD3o9OdHoBqKdDq8W4iBtynLw4Xz+3S8rCcChK/ue6M9DT69F8Y//ySGvsjWyCTLjo4ipignPTyeISKThXg4U0N0v9Wo53oo6noaORRDq3lEJNWdIgXS2hyYKEiwEo0xLZVMXKykrU1NTEvc/Fixdj8eLFaGtrQ0FBQULHdbzdE/acP6DmKuKkG5aWHjlsMG+319rChf3fqV07YpyJMsC2yxuKceEAZDHF+XKzXGgMjr2D45DpCn1GrtuJpo7wrA1CLhj9CQgXdjufMjjXhjfGSKm8kcYr1mTLcUBOhhMcF77vLq8fPn8g7DqIhHWEi/rzSleX0uIST7wQEZt0Fy4pdRUVFxfD6XRK1hWRxsbGMCuMETy5YX/Yc74AH3Zjc3BArlsQH9F82dJEzUEK5rV6gK5DJlzCV6zihOdQiNP2nl5pOwfHIZuxQuW5Q0LOoajjIgpESquMjq/PFhe5QLdjoHN4ufro28d6nQMHh4NDboSFyLu7GzXHtVmmSWiEc0tZJFIZ42KZ4GOL8HL1Ubz+RV3sDW1KSoVLZmYmKisrsX79etnz69evx6xZs/q07xUrVqCiogIzZsxIeB9qQXo+he8fEG5YonCJ5ssW38chNFGzQaZWxMkIklAdjNAAPbXxAPYf7wiLem/r8UkTKsfJrVD9GOHiVMS45AeL/bV1h8Y5Qr2/tIMdd1asVNe2aHr/kZNd0mOvPyCblGwZnKv8O4arKBbipRDJXfTjF7bhztU1Ed9/1phQUU2rWCQiiTmlhU7Z8oOEi/7c+o/q2BvZFN2FS0dHB2pqaiR3z8GDB1FTUyOlOy9ZsgRPP/00nnnmGezatQt33nknamtrcdNNN/XpcxcvXoydO3diy5YtCe9DWaYeUA9SdHChm1WHJ5olIDRRt3QJ2ylrSVgNtqit2uS27ZuT+NZvPwh7bV9jB+MqkjdSzJVZXIAM5kP652QCAE52eaXnlJV10xW5qyj0+OE3d4Vtq+TwiS6c/zt5tp7d06EjuYri6QLNIgkX5vwtzXejODdT+vutHQ3Kt4Xez9xvrBIDohQkIkrXhXKsPWlQNZxIHboHW2zduhXz5s2T/l6yZAkA4LrrrsOqVatw1VVXobm5GQ8++CDq6+sxceJErF27FsOHD9f7UOJG7aJ0ORxhJmaO4yT3hiaLC7NftlqmFWFdQKI7Qe22r7bC+s3a4ITKhbKFAPmNn+PkFpf+/QSLy8nOkHBxOABEWaD2+gOqKdV2Jt4y/7MffT/sOVZs2nGiCc8q6pvFRYS1uDg5DtluJ5o6vFHeIcBO9lpaBJiBaMbO5g4PBuS6AYSPtV2rhhPGoPvdfe7cuVJGEPuzatUqaZubb74Zhw4dgsfjwbZt2zBnzpw+f64eriK1i1I9ODfk3tAU46LYs5VTomXCJcr3UMtKefPLegDB4FwmxoWNd3E65HVcQhaXkGUrlsXlvd2NUV+3C5GyihKFLfJn9VgsNZQCJVblXJZ//vhMLJg2BBWD86XnxOtaKbzzszM0HQ9be8c6FpfI0uUvHx6UHodZXCxSp4awBrZZlurhKlLD6w/vscOBcRVpSNNVXuttFg40dcpcRUGLi8qdP5pPWxnjksU8dnDyGjCicDnBuIpixbj8+IVt0TewDUxMCiNcJpTlq20cEzaQ1I4NQZWnacjiEn4CK4NLTx9ZhGVXTcXwATnSc+J1ncdYXBwOYEC/TNl7I2WAsGLTKjEuUXSLTOwqv7EdzyfCOGwjXPRA7aL0+gJhZs9ePy+5il7adkS2UmWJ1J+juTO2GdmssCsuMW5HLUYgqnCB3KriZmq6ODgOQ/uHJoei4CTQwsa4aHADpUNvFGUdFpFEV7ds4HhPhHPayijPiUPNXZj96HtSBWiWIkZ8sPcFtpSB+HRBdmhbJ8dJ7hKRExGud9a912WRoP1oawY2JVo51nY8nwjjIOHCoGYG9ap0Ne7w9MpuYB/uVe/UydYtefS7oSJ6kW5kVoAdi2hFtqK5kZQWE9biEuB5XD1zGK45Yxj+eE0lCnMEs/uJzpCVSlncTo1t35yMuY2dYEv2R4onOHC8A9c8/Sk+3t+s+jrrruixiAUgHtS07OET3Vi2/uuw5wcwAbbs2dbPHTpXxdtFUb+Qa8jBcShUuIrU6kMBAOtNtYqrSFnmgIUVz8qhtmPMFGEcthEuyYpx8foDYSmA7T0+WXZNpBsTG5z7venlmDasEIAQxGZVVC0Zqq6iyMJFKRDZKrrtPT5kOB14+NuTcOHEQdLKlw3OLe+fHWG/occHmzojfr5dYEdYi8Xl9hdr8OG+Jvzgz+ptEVghascYl0iWTrXxYt0/7PmqVjxSdGcK2yIsxqWxXb3BoNJVZAUrYTRXkdziIn+NLC6EnthGuCQrxgVAmCuo0+OXpZ9GyggI3YiEq31AP8GEbGVXkdqtVWtWkYjy3sdaC5RWHDYdWhxP0RSvNLx89ovzcM7YgQCsbdXSCjs5eBmhGMniEmkCFWHjLNKpt4xaDEquOyQ+ZBYXJpBcfIUVLvuPdyJfUdclUoYR+7m+AB9WxM2MRAvOla9V5GP6909rKbOI0A3bCBddiHBNKldkI4pzMCg/S/qbjb9Q3W1wv2LQ3gkNqZJmReuiMGrlVcU4lxaExlLZk6h/cMw8voBkBRAFzMyRA2TbOh0cxpTkAkgT4cIG52qwuLDZWFPKC8NeZ6u3noxxTtsJtVRyWcAtM1n3k2UQCb/795NbWJQWl0gWWeXnWqF7fDQvrbxfVvjr66LUtCGIeCDhwqBWgA4I+WcvmFCKX11SgUsnl+GsMQOkG1ekSVJ57Yp+cytbXNibrVhoS03MsJPnn6+dLntNHOW/3TgTi+eNxoJpQ6TXlBlX/TKdUpZRc1DwiTdFNg4BEISL6Fqy8hgnAmum90boQi5rfKfyT2MtLi1d1s18ixc1iwsby8LeFmQxLsHfhTny87BYEZyrVbhYoZZLtBgXVpjEuicQRF+wjXDRJcYlosVFuKFMHlqIRWePhMPBgeM43HtJBYAoN3mp5L+AHSZV9oYUzWwsrt5fv+VsnF9RipK80M1cfN9ZY4rxswtOlWUJhXfi5iRBeekTHwIITTSDGUsNIAgXyaplwTHu9PhwyR82qQaLqhEpqwhQnyTYoGa1FTFrcWlNQ+FSkJ2BPLcL360cGtFVJMsqCp7HRQrhMmv0AMwbN1D6+3iEmDalYOq2QIButBgXNiBfLV7HCjE8hDWwjXDRp+S/OpFWCmrl6FmkCJfg1S5aCE50Wjg4l7EjRSuZLtZtEG90BYz5PNrNTw3R99/S1YtOT6jn0eACeZCuy+IWl9VbDuOro234v3f3ato+UnAuEB6XBchbKaj9z9gO3O0eX9r0lxEn3IF5bmz71fl47LuTFcG5oW1lxeaCv/srhIvL6cCzN5yO339/KgCgKaLFRf63FfqYRbJKK1GTKBauu2kIn9eexJZDJ4w+DFNiG+GSTEThopxwxfiLkxFWp+IKQ3ybFJxr4RgXqKzy1RZSotgQTctsXYxo5uZYfNPcJX1ekaLQl4PjLC0O4xUK7ApWmcWlVvCLdRWp/c+UE2drtz2tLsp0etGtxkHIcOM4TiFQ2KwiJ5TkRWiyODDoMopkcQl3FVnb4gJEvydEKsRHhOP1BbBg5WZc+cePLV2wNFmQcGGI6CoKBoUqVxv9gzVGIgXnhiwuwm8rWwNE2HuPlhuRuMgvYYKZ1Ya5QGOZ9PrWbulzHQ75BCPEuAiThZUDoBNBi8WFdcmpuooUE2ebTYWL8vwTLS7s9a8WhBvpeUeEiNWBQfdorHIJIsrAdDMSzT0MhDLa1Cx6FOOiHbbJaTq5bbVCwoUhkhlUvBiVBVulcvQxhIi4X9EacLLTa1l/L3tD8kmuosiI1hV5jEv4dlUVpQBCN3uWpxZWSo/rWrqllaqT42SdeB1c6P2dXn9apfQqhYuaxSXDwVpc1GIQ5H9bpQx9X/FLltHQ+Ki5hAC5xUXtfnHV9HLpsRik29rdqyokxWtJXABZYYKKVftRqv+jclM4aeEFW6phrdKJWqp4nsea6qPY19ih12GZBhIuDJEWE+LFqHRxiFVdPb6AaiqjciIQLS6+AI+2bmtOqkdPdkuPNVlcgkNWIhMk4QN932UT8D8Xnop/3XRm2GtVEwbh+lkjAAB1rT2ScHFw8gwO0cQv1tGoa+kO25edkNVx8WmxuER3FSnptKHwC6g0TQ2oWFxYCyB73edGsMSInFKaK9uHMiNO/rnCb3EB1NJt/ok9lpNXzMBUO72aLFx400j8CS5y125vwB2ra3Desg90PiLjsY1w0SOrKBKiKFEKl1y3C67gzKwWoCveIsW3uV1OqcdRkwVjMADg5y9vlx77A6Hu35EQTcsl+dEtLrluF34ydzSGD+inuh8xg0iwuIT2rUyJBoCyQiFo96jdhQszPXg1xLiU5IXcdV29sUWJHS0uvkD4+ao2Mcjip9heRYxwYcXhG7eejZ9WjcXCM4dLzzkcnCSsI7mLgNACyAop6FpdRWq1cSIV4iPCYYcvUev8xwfUW9HYAdsIl2RmFfX4xEBTxfYcxwToqggXlfOtKNe66bpq+FVWsCwhV1H0GJdYiGKkviVkcXEyEwPL0GBLALtbXOpaQpVwtcS4jGA6G7d0xp4krRAsGovN++U3b7XzlWeEsIjovhE2CD1ku5qzwcwThxTglnNPgdslD96NFuciTkhSI1ELxBRpdRWp3fuaLbpYMwL2LE00ptnOHbltI1x0IcJqQjTDqzX3E+uGqK0mlMG57PaWzixiiNZMEVB3FSWSVFRWKAifoy3dkmlf6SoKbRu0uJy0rnDheT5mjM5j6/ZIj7XEuLD/qS4N5defeG9fzG3MjM8fwNV//lT+XCC8aaoIe1qyReXamf8Dew8oL8pBLMTzs741/FwULx3xs6wQ4xJr2XHlHz8WrLAqr5GrKDESjXGxY78xERIuDLHmUzUzKevCCENlJSdlvdjE4uIL8FGjc0WLy+DCUM2VROpViGLkWFuP5BYRLC7hrqIhhda0uLCn1y9e2Y5pD76NnXVtmt7bqyHGhTXfizfDDCeHaxn3Bsvuhna0WzgVU+1+H20SYEUJ2/hTyae/+Bbe/e9zwtLx1RBjXj47dDLsNWVwrhViXGJZXDy+AOpbe1TdG1qsfIQAO3yJCpfEi06YHxIucaBWf2Rof2HVdeRkV8T3se8amCfc7GI1vLMK/ihdoIHQZMwGNSaS7VOSlwWng4MvwEur1wynA2eOLg7btkwSLtYd4398dhi9fh7/3HpY0/ZaYlzULA1//+EZuGpGefgLQaxcy0Vt3R+ta3msSVmkND8Lowfmxt4QwISyAgBAY1v4uSjOR6K72RoxLrG38fgCqmuZdo8vLIicUIcdv0QTUDOUabA2Qr1yUpoS66JUu7EN6R/ZLaF24wwJHWtZAyLhCwRUv6dIX4rNsTgdHAblZ+FoS7d0gxebKq5ZfJbkggPsFZyrZVUPAF6FhaVLJT5F7b/k4ID8rMg1dFq6ejG0v6ZDMB1qN/yoXcsV52pWhqPPcQJFUapri8cnZRVZQLhouZ47Pb6wk83BCUKtpcsrq+lEqMNarBLNKnIpyh/ECqy2EvaVZAkQq5y1WqGpIYpJ8tWao/jqaCsANugvtL3oF689EdlCYyWEzKLIr7M3urKCvt2wlL2JxAtzanmhLN5ADM5taOuJ3qXaAqhlZ6ihtCSoFTNT3xWHgpzowsVO+KJYXMIq6upQaqlI6p2lNo4KV5EFOnJrmfs6Pb6wxYxU88oC39FsJOoqymDcnV6L3weV2Ea4JLPJooi6q0iYJI+c7MbWQydw+4s1uOQPQjNAKTiXEUTDghPsYZsIF63BuUDIOpUoZYXy96sFSwNCqfUMJwd/gEdjlDRUK6DW5VkNpSVBzR2nZhlzcEBupkv2f5ozNtQg0ApxF5FQtbgEIt/AlafT5CGCm6c0PzwAXCtFTNahMu5D/NcODGbcdXr9qpYyM6GlV1Gn1xc29v0t3PzUCOSuogSFC3NC261qsW2ESzLSoZU6JZqr6FhbD74+Jq9QKPUqYi0ujDWgxwZR37EsLqx58ruVQwEAk4cWJPRZI4rlNV5cDvXT1+HgMKgglIVkZbSaiZUCUrV4nMquOI6Dw8Ehj3EXlffPlioZR+rDZQXUhFo0i4tyYfKrSypwfkUpll81LeFjEGu0+AM82hRWMPH+kJ/lQlaGcC5Hq/diBrRZXPwya9XLN88KucwoQFcT7GUfbe0SzaK8aV+oFIDHZqnRFOPCoLwoC7MzZDdutRV+cT83Ml0OeH0BWTMsnz/AWFxCFPXLRL9MJzq9fhxt6dYc5GcG1JR/PBaX700vR2l+FkYWqxeZi8W40jzZ32wlWCVDCrNx+ES35TKLlCTqruhQcxWpbCeOYEF2hhSIy3Eh036rhU37amMXLcZFKVymlBfiz9dO79MxZGU4kZflQnuPD41tPbKKvGy5hJK8LNSe6EJjuydiEUYzoDXGxR10U0wbVojThvVH/37C9yZXkUY0ZhV5fAFZDzKRnXVtOHC8k9nO+otkFttYXPRAGbykbPynFtzkcHAYGnRhsGZQWTYG8zaO4ywb56J2AfkD6hkEIuyNjuM4zB1XkvCNedwghXCJkgZilwBdra4iJe1qriIV4Sn+f9hznQNnqWqukVD7vtGESyTXY18R3cPfNMuv91CrAS5mQ0azoGWIOjy+sEVb/5xQnzYiMjzPY+FfPsUPn98qPRctzi2SC2hvY7um7awKCZcoFOTIMzoiXbSiu4iNW+n0+CO6UKwa56JmXen1h0qoZ7ocOPfUEtnremUVAULlV7a+RrSJZogNitABiQfmqVpcVF1Fwu/8bHkPHjFg19quonDYc3jBtCGy15KVdDE8WLH4G8X1zk7uYoFGtbRpK7D8qqnSY/beJy72xNYcVIQuOkdOdmPT3iZ8duiE9Fx04aLNkmI3VxEJlygoLS7OCHc2cZI82BQyzbG9YJQBbZFWYGZHTbiwE+uEsnzcdM5o2eucjmeYy+nAGMa1FinGBbBuEToliaZCqpXrV3UVBU/NwuyQSOfApuhad4UcKx36wW9PlCxLQDItLoKFsba5U/Y8O7mLwuW4hSZ2MS4HACrK8vHjOaMAIOgyD1qTgq8PKrB+baVUoGYRjLZ4iVQXR+kdIFeRjVHqEi2uIiCUWXSIuTGxDeqUbxs2wKKuIpXARp+i9wu7cgf0tbgAwKmMu8gZJcbFDkXogPhdReJkolY4Tm3lJorqUqa2BsdxUjZMk5VN+ypDxwbncgD6ZYbOV73PVZGIFhemy7noKjrWZm7hwg4pO3YcQu0Nmjo8YaUghgRbdqi1PiBCqC0Oo61dIrmAlGcyuYpsjNIyUqgQLrFcRWyxqi6mrL3ybeUWdRWpZWn4mfRSDuHFzPRexLJxLhkaY1wSTSc0A/FaXMRmlmppp2q7Eo1Wyho5kgXAoq4LIFLl3ND56uA4mcUlSQYXycJa2xzJVWSduDf2HOrnZt2LHIrzQu4gZSmIwUGLS32rdc+nVKCW9RY1ODeCC0gpws2eZh8vJFyiEOYqinBnE6vhsrCmeqWlZhhzk7LSpKp2qD6/PB06Lyu5FpexjHBRKwgoIrqKOjy+sDRUKxFv3Shx5d7eo628ujixDFIIl4GM68JK5yhLLFcRx8krEyfL4iLFtJ3skk1CAaZcghiw/o3CnWRm5MKFsbi0e0NjHxzSsoJQAkO3Nz63xReHW7D9SGufj9cK+FTqDInnidp16PWrj6XyVFYrSGllbCNcklGALjvTKQsGjXRjG1IYXlgtWvT8kMJscJzgTmq2sike4moglB3B9iRKBtOHh+rPR/us7EynNClZOc4lXldRUb9MyXKgLDOvduMTT2nW4sIxroteP2/ZfkVqI8f2dOI4yFpFJEu4lBVmw+1yoNfPy6ysrDtlRNCddKzNE/fEnkrkriKn9DjMVYSQGwwQXMg5we3jcRd1eX24fMVHuPSJD20Xp6GGmqsoJFzCt49kcVGeyVZevKlhG+GSrAJ0xcyNLdJ9rTQ/S6pbIFLHmESVb8vKcGJQMKbASgG6ahNBL3OhcRDES3ZG6Iam92SQl5WB/9w+G6/dchaymM9RQ1zp7m3siLqdmYnXVZTpdITKqytEcaReRUC4xcXtckpulAaLuotU06F9cleR2K0dSF5wrtPBSfWa9jHnYqiOC4fCnEzkB62VZncXiYS5ioLC5USXV7JsiRY9juMkcRyPu4jNjjOzoNMLdVeR8Fvt+o0Uu6Lc1spd3tWwjXDRA+Ucy4FDcV7oxhZpEnY6uLAaI+wqX+1t4vZbmLQ3s6M2EXh6w9O+xdRHIDlxA+MH52Py0MKY200KlmzffqRF/4NIEfFaXJwOjumPo7S4qL1D+AeJsTFAyFpY3l89NsMqqFtc5MKFPVeT2YPulFJBuLAimg3OBUKVoQ+Z2F3E3gNYi2dPr1+y9vE80NwhnEPsmJYlkOnHuoNjFbu0A2quIn8UV1FXBDGnHKu2brK42BZlcC7HCX1vRKKtyCoG58v+lgkXlf4eZ40uBgBs2NOY0LEagdpto7s3PHsqFeZ3LYitBb6wsH9ca5NFEX+Al4SL0g0ZqVcRAJlLVOxcLmXDWFW4qJrWQ+erQxHjkiyLCwApjZ8tDCa5ioL3B6vFubiZdOgury8omuVp3ezln4jFhf0fRmvXYBfUvqO4eFH79qqtPRDeCoAsLjYm3OIS8tuqvc5SUSYXLrKLU+V9k4KT6icHTli26BQgrLSUF1SRBvdaKhCtMl8dbU24kFsqURO48d6r39xeH2rsp8HioloNOvjcSAtYAKKhtkLt8bHBuVxKgnOBkMWFdRWxwblAKM7lkImFIjuiHDipAeW4QcL9rzhowRIrALPndCizSLvFhRXu0aoe2wW1+5RoPVG7ftUqZAPyBSVAwbm2RllCnuMgpfgB0W9sSovL0RiuoimMq+Mzi7iL1C6cnt5A2MpxgEzsGadcxpTkIifTiS6vH/uPWzPOJV6LCxASjsoqpdFiXABg9Y/OwKmD8vCzC8cBCFkALCtcVJ4TTesOFetgcl1Fgmv462PtUrYX26sIsIjFhWcf8th017nYfn+V5DZSti5gx1SsdxVPDA87kXujCJcurw8///eX+ODr45r3bUbUrKIhi0v4a2oVsmubu3DPK1/JniOLi41Rmoo5cDJXUUaUgmenKoRLrFTU7Ewnvj+jHABwy9+rseL9fbj75e2mTj1Vu3Bkyj44PP1zMsK2MwKng8PEMsGy9fk3Jw0+msRIpFdRWYR2B6oWF2ZFPHPUALx1xxzMGFEEgLEANJnXAhANte/bHSxTIC5C2MJ7ybS4jCruh/45GejpDeCrulbZ8Yn/A8uNNy+4GNnO4qJwaVBxB40KusvY5n+xYIV7tHvqkxv248Uth3HdM59p3rcZUTtn/VGyitQEyV8+PBD2HGUV2ZjXvqiT/S1YXELCRVnXhSXX7cJpwwpVV22RbodsgOlj6/bgH5/VYssha02w3V5/mKAZU2KejtezxgwAALy32zqxRCzxurjOGTtQVieIRRTF5UWh9P1oc7VoAahr7UZPr/UyOtSEdsjiEl6/Rq1on15wHCcJwk8ONMsWKEqLS11rt2lTf9kxVTszxdIQYhAya3EdPVD4fvWtPRFjM5SwsarRXEVWb6YqoipcoriK3t/TGFbINF9lniKLi02prj2pKhrYbAu1E4LlmetnYOPP5uGCCaWy5yO5SyYo4mKA8NobpoK5cG48eyQAyCY08VteMW0ofjxnFP79kzNTeHDqnDde+F9s2ttkyXTKeF1Fj353chThIvwWYw2A6MKlODcTRf0ywfPAzvq2uI7DDKhbXIRzQPzeGc7QLTDZ9X7OHC2I6I/3N8uOTRRRxbmZyHW7wPPWqKqtJqqVNa1YI3ZhTqbkmmP7ukX9DI0WFyOTAPRE7Wr3q7iKrjljGABg//FOzH70fdn2agtsinGxKWp+V56HVG8FiG5xAYQLs7woRwpUE4mUrDC2NC/sOS3VTo1CvGycDk4qJtWtkg6d6XLg7ovGo3J4UWoPUIUJZfkYVpSD7l4/PvjaelaXeC0uA3PdknBpbJcXMxNvfKJLAojeB4XjOJw2TCj4t81ilkAgVoxL+EV5JMmdxE8fKVwPXxxukQlS8Ug4jsOIYuF/E487JZXIsnxUUnfF9iciYqyLyKig1UVrzJnWGJdIDXDtgJrFRTnHsLBp6lOCSSBWLSIZCRIuQdQ6DXv9AQwbkIMl54/FLy8eD7cresEzkfGKmi45meoVXrMznWHVX00tXCSfPJAlChevPyzI0ExwHIdzxg4EAMu54YD4soqKczPhcAj9d/KC59Xhk+GVWkcU90PF4HwMLshCSb5bbVcS00cIwmXrN9YIIGdRixcTb+DsYkKsANu/X3Jjs8aU5MLl4NDW45M1/2Svm5HFgpvVrAHR7JD2qpycyvpKO+rkljqxEN9+jcJMa4xLtPYfVkLtnJUq5zLP5Staq7CWb7a0QW5wuy6v31b9ikwnXA4fPoy5c+eioqICkydPxksvvZSSz1ULvBUvlNu+dQpunD1K877YQN154wZG3fbn80+Vf6YFUv44DshyhSwu0vMRo3mMRZx8Pzto3sl3xfv78Ou1u8Ke1xqc+86Sc7D+znMACGJtZHBly67cJYEJDm/cejbe/+ncmGJcbLGw7ZuTpg4cV0PtcEVXLGtxeWXxWZg7biCe+MFpST0et8spTdw760O1hVhX8sigNUyrK8VIlLVCAMEqff2sERHfExIu8Vtc1ISSiB10S83hFtUq36F06ND3V/aEY0MM2PPe5XBIHeOb2k0chhAnphMuLpcLy5cvx86dO/HOO+/gzjvvRGdn8i9i1tctkqiIGF4UMsU3xGhTP36w3DrjMXEQJOtjzQ6uUnt6/aaf0EQT/Y66VtMGqT22bo/q85FcRcoxH1OSi/5Maq/aBMH2xnE4uJgtEwCh3lCmy4GmDq+p64toRbzBs1aOsaV5WHXD6ZhSXpj0zxev9y+PsMIl9LpYPdeswoW9B0SqZDsrGMujxigVQR0NmavIxjEuzR0efHvFR6r3Ab9KATo2kwsATnaG7mvKuCCxFtnxjuhzkZUwnXAZPHgwpk6dCgAoKSlBUVERTpxI/kpZVbgk6LZhzZbNMU6WUxW+yk4TB5Cy6ZtijAtbctqs947BBdkYVpSDAA9stVhadKReRbG0opjZtV/WGydY8CyOz3e7nJKf3ErtKYAIFpfgDd6o+kKnjwzPcmOPRCr6Z4GU6EiVbMXimgCw5PyxstdEQX2wqUOTNVFrAbpkVj1OBdGqCQdUYlyUFhc2I45d1Hj9gbDaOnZAd+GyceNGXHrppSgrKwPHcVizZk3YNitXrsTIkSORlZWFyspKbNq0SXVfW7duRSAQQHl5ud6HGYYriqsoEe4KFvH60ZzoLqZ+bpcs6FdrmqARSJcDFwpUTmYKqZ7MDFpdPj1grck30s091i1fTD3dx5rkGYtLPEwPpvFutZpwURkl0Ypq1Dx3XkUJHBywuyFU+p+1FojCpaGtx5QxCbGCcwF5QoNoYREZ2j8bGU4OPb0B1GmooKvV4mLWRZNWoh2/Wq+ifIXF5QumHxur73p6/bKu3XZBd+HS2dmJKVOm4IknnlB9ffXq1bjjjjtwzz33oLq6GrNnz8b8+fNRW1sr2665uRnXXnstnnrqKb0PURVl1VygbyWmb547BpvumocbzhoZc9vJzAqlzaSuDBa2FcKJTq/MBWFWZo4SVrqfHmw2+EjiI7LFJbp0ES15uxtUKrXGGYs0QwzQtVhwc7QFvVGuhZK8LMwbVyJ7jj2UwpxMqYCj2a0ukWJOOI7D766agu9WDkVVxSDZay6nQxJnXx9rV3u7jIDCehAJq7uKoh2/aNliL3mxA7zIXmYs2XuGh3UVkcUlMvPnz8fDDz+MBQsWqL6+bNkyLFq0CDfeeCPGjx+P5cuXo7y8HE8++aS0jcfjwRVXXIG7774bs2bNivp5Ho8HbW1tsh+96GugbHlRjiYT5pXTQxal2hPmLaTETpZSP5wuL+OCMO/NQ5x8dxxtM21xLzUStbgMH5CDon6Z8PrYSq3B/1Oc/6bKYYLF5UBTp6VWbdHEnZGtKC6ZMlj2t3LSEid2M7apYEc0ksUFEGo5PX7lFFmGi4iYeVRd2xLz89hbcPQYl5i7MjXRhIvojmfHXjmua2rq8OHeJmE7RYyL6Cqy0rUbi5TGuHi9Xmzbtg1VVVWy56uqqrB582YAwqBff/31OPfcc7Fw4cKY+1y6dCkKCgqkn0TdSmq3uFSlJl86eTAWzxsNQB6TYDZYy4ooXHr9vCVapg8rykH/nAx4/QHsro+90jMLica4cByHacFgU3GCCPCh1+KhICcD44I1h6xkdYk2REZOdGJRxEiIDVu/ZMz/ZkGPbs1Tg+fl57WxzyV5VpG2dGizJwuoEe18FMMH2O+ltv01f/kUgHzMMpwcBuaq9y6zMikVLk1NTfD7/SgtlV+4paWlaGhoAAB89NFHWL16NdasWYOpU6di6tSp2L59e8R93n333WhtbZV+Dh8+nNCxqZ3rqRIuHMfhxrOFWJijLd2mdxdxEDJSxPoXzSot7M0Gx3FS1sgXJpwQIuHpVT8H1eI3lJwWTGWuDk4QIVdR/Ej1XCwU5xJt/jLStZCXlRG1uePU8lAKupn53+9MTuh9onD58khrzADdgMLtEQn2/2mFTvBKop2OHcFYJ/ZbRVt8sF9/+VXTKDhXL5SDzvO89NzZZ5+NQCCAmpoa6WfSpEkR9+V2u5Gfn48XXngBZ5xxBr71rW8ldExqpdVT2Ua9f79MqaLpFhPXGwFCF1lRUMk3WyRAV7xhPvTGTlMX+mNRtqcX0bKoVFpcEnUVAZD67Gwx+WQqx7x1PyqYdh9KESW2Bvi8tgVfHW2FuRDG9NdXTEw4fXzcoDy4XQ609/hwMEahPVaEdEYJVmb/n5HStM1MNCHSJVlctO1LFINXTBuCSUMLmOBca9yntZBS4VJcXAyn0ylZV0QaGxvDrDDxsnjxYuzcuRNbtmxJ6P2qFpcUF4Nje5mYEeUYDegnXBDNFrkgxPL1vX4ef/3kG4OPRhs9ESwuLMu+N0X1+cnlQtPPoy3daGzr0cXisuNoqymzXdQIa0XBlDwwMsYFkAfkK4+E7ffzaIT6PkajlsyglQynQ/r+sbq2s67SaP12WPFnhSKeSqJZAMVqz1IsYXBT1mon0tPrl8ZM3I6Cc/tIZmYmKisrsX79etnz69evjxmEm2zUTO9ZGkv868WZo4sBAJtNKFzaenrxzQlhdSReYuKF09wpuopM7CuCvDDWR/uaDDwS7WgpSHh+hbroz3W7pNiUTw6eYNKh4/8/DSnMxuCCLPgCPGoOt8T9fiNQXtGFOaEUUpUOHyll0pBC6bHa/+NbpwqZR2YrSKlX+Ii4iPg8RoAu60rqiCJc2DFMNPbGSKJdkWLJCbblCgD86yezcOd5Y6VSDwDQ2ObBuh2CYUDs3yS6irp7/egwcbmNeND98u3o6JBcPABw8OBB1NTUSOnOS5YswdNPP41nnnkGu3btwp133ona2lrcdNNNffrcFStWoKKiAjNmzEjo/coLcvLQAtx/2YQ+HVO8nDFKOAF3NbShxWRdos/8zbtY+JfPAIRuEkX9rOUqcjkdeHXxWQCEQnRay+kbiRZXUTQhMvsUQQxv+vp42IotHjiOY+q5WMNdpLymxRs4YHz67NnB/0t5Ubaq2+rmeWMAmLdnUV8zCMX4q1gxU6yrKOqky/yz1VoRmJ1od6JmpXAJnrsji/vh9vNOwT9+eAaKg2771744KrmGxXOcrRV25KS5U+y1ortw2bp1K6ZNm4Zp06YBEITKtGnTcO+99wIArrrqKixfvhwPPvggpk6dio0bN2Lt2rUYPnx4nz5XT1fRuNI8vHbL2ShnSvengpK8LIwe2A88b77Jga3oK96ypBiXoKvI3PYWgYqyfGRnONHa3WvKdFMlvgCvGmvFWgijjfucYIPJTXubwlZs8SKmlH9ywHwWQTWUVlSxaitgvHDJdbvwxX1VWHvbbFXhOS7YqPVYmwcnTbQw0EvqzxxZBAcH7G3sQH2UQnQBmasoctIC61LqtcCCREm0TKj2Hh+8vkDEytcOByedL2/vPCZ7XkSMnzxk0lYS8aK7cJk7dy54ng/7WbVqlbTNzTffjEOHDsHj8WDbtm2YM2eO3ocRN+wFohaomyrEvjq/XrsLrV3mzi4SXUVWapme4XRg2rBCANbpFt2jYnWRW1wiv3fGiCK4XQ40tPWECn4lOGnPDJar37y/2RLl/5WX8Tima7sZvJoF2RlhPWdEct0uqW3DB18fT+VhRYXvq/oNUpiTiUnBei7Rqlmzmj1ajAu7Xa9FAu9ZYs04sQp9inFRDUzrANaSJ/bAskO/McCEvYoSpc+uIuaxkcLlW6cK8QoHmzrx85e/NOw4oiIFh7nlT5tgMtCC6PL408b9WLK6xvT1DdQCdGWpkVFmkawMp1Q1eP9xeYxSvIwblIcLJwiVUN/4oi7BvaSOMOFSygiXFB9LIohjvWFPY4wtU48e43dacAGhjJliLYysJSWaq4i9Z0crjGdWYk05zZ2eUHC9yo12SKFgUWlkAnDZ4qfDB4g9sMjiYir67irimcd6HVX8fGt8CX58jlDTZcOe46b01ypdRcrnzc70oH/9m+YuvFx9FL94OXKdIDOgbnFhXEUxBn7euIGyv/siMK84bQgAYONe8wc3KxcgYxnhYoW4LNEyuLNev2rgfUXPW+O0YIDup0z5h1+t+QpTHngbR1u60e31yzIs26JYduWF6qznKoo1sh09vlA5A5XXywqzwp6T98AKuopMGjMVL7YRLn2FvccZaXHhOA7/c8Gp6JfpRHevX94kzyCUQayi4ldLx7MC04YVysyon5nc7aEqXOJ4/7enDtHtWM4cPQBOB4eDTZ04fMJaZuccdyhLsMXkblggVOtl//FO1XPASPTIIDxr9ABwHLCrvk1ycbzwyTfo8vrxl00HcduL1fjHZ6Eedm09PnR71ceBFS5WzCqKFZbT3uPT5CpiYYVLyOJirWs2EiRcgrCBfEaf9g4HhwlDhDoHXx4xvgBVbwTTa5FCuJg9HVokLysDE8pCdTTMPompuoo0xrgAQnFDVqiNHNAv8sYxyM/KkEz8G0wUe6GGcv2RYXQOdJwMys9CYU4G/AEee48Zv4AB9LVGD8h1Y0owzkXpDvMHAljPBJqKRArklVfYNZfI00Ksce3wMMJFxeZSpiJcOJVrvqGtJ6L4sxLWupKjoGc6tJEWFxGx6mmsAk2pQFlllosQ42IlTmdqH5gd1ZRoVrhocNL9ddFM6fGZTD2bRJgb7G78/m7zxV6wKLOKXE5Oyowa2j/8Rm82OI7DhKDVZbtJKuj2pYihGucG69W8pziX/vpprdrmqGeCT1lYi0uXBSfmWC082j2+qOUMBhWouYpCjwtzMpCf5QIAqR6XlbGNcOlrjAtrqjNDbJcYQPrRfuNjCcKES/B3dqZTqg/APm8FZiqEi5kbs3XGKBqlxdA1a0wxdj90IQ49cnGfLWNik8BNe49j7zHzNqxU/ktdTg6///40/OD0YXjm+sQWOKlGtEg8tm63sQeSJETh8uG+JpmlJFK/obqW2BaXWNeLGYlpcWFdRSqvZ2U4pQq5Imw6NMdxUtdxOwTo2ka49BV5cK7xk5gYQHr4RLfhqafRgt3EiwGwTlYREOq9I2Jmd5Fa000tTRaVZGXoUwl6bGkuRg3sh14/j8tXfGTaapzKEcpwOFBWmI2lCybJAnXNzNljhEJ1J7t6TTHh9KXflRoVg/MxMM+NLq8fE+5dF3N7LRaXTitaXGK6inqjZhUBwBCFFVFZq0iKc7FBSjQJlyBs5L4Z6hf175cp1XH4zOCmi37FVcXJotUTj5cwkv79MqXVHgAcNnFFyTaV+hWyGJcUHgsg/P//dE0lAMEsv6fBPFkvLMoFiMPozooJMGtMseTW+thEhf/0Ei4OB4eLJw0GoK05olqMS11LN/659Yj0t5l7aTW09uAfn9WGBVvHdBXFyCoCgDFMgUUg3Go1giwu5qOvMS7L39krPTZDjAsAfLdyKAAh6t5IwrKKmMdy4WKtieEv102XOtx+bZLgRzXU0kBldVwMMHWdUpontRMw69iZ4yruO1dME7LCzN41PlF+cPowzdseORkuXL694iPZ32a1AALApU98iLtf3o7HFM0zNbmKgo8jXe7iQldEGYQrvr7HxO5drdhGuPQ1xoXFDBYXADg1WOnTcOESZnEJPbaqxQUQJnyx8aKZmy6quorYOi6pPBgG0d3ytUlvhCZZf/QZ0a35qcHCpa6lG5uC9Xv62quIZWxpLs4bXxJ1GzF+Q024NCq6Hnd5zOsqEjs0xxvY3s5mFUVQLqcohYvCqlMxWLhed9e3R4whsgq2ES76Yo5/asXgUB2Hd3eFpwamimjn+MxRoViR4+3q/mczI2YXmSVrQ422bhVXEfPYqNiisaXCjdIsqbrhmOM67iunDe8Pp4PD0ZZuHI0QnJoKFv/986Tsl+M4/Pna6VKjQDVygzV4jp7sjtkc1cwWFxHlN9AWnBs9vkhpcbl+1gjZ3yOLc5GV4UB3rx/fWLwQHQkXFcwiRtlutoue24qvDJpcw9V56MopyQul4Zl58o+EuEr5prnTlFWKAfXmclq7QyeTU8jikhJy3S5MDKZFG2kZ3FkXsvzqfcpxHCfrJaXEwXFwOjh4/YEwC4sSM8e4iCjjr2KFJ7SzwbkRtmGbApcVZGHikALZ604Hh3GDhPNoR50549K0QsJFBbPEuHAcJwsgfWnrYUOOI5qrSL5dCg5GZ8oKspGV4UCvn8dhFTO0GVBrYplIVpHeiKKvsd1jyoagVjwfIyHWzlErymYX7rrgVLhd6lPS8Q4PBgdrlcQKpO80satIJMziEmN7eeVc9Rsw25voZITrUbTik3AxCX0NzmWJZYpMJY8smIQzgu6YdTuOGXJsYcJF8Xo0E6/ZcTg4jCoWJuD9jeZ0eah2xY1S/jtV5GVlSKXGa460GHcgETBDWQO9uCDYcHHT3uOWrAyrhSnlhfjo5+fi99+fGvZae49PapL5aYzsqpZu8/ehUt5TY52rJzu9oQJ0UbbLdQtF5sqL1AssigUNzdT/KhFsI1z0DM41U5OukvwsrLrhdPTLdKKhrccQd0ysQK6nrp2O7Awnfnnx+BQdkb6MDloOjA6CjoR6HRcBo/O45owVGjiu29Fg8JGEY56ruO+MH5yHon6Z6OkNYPUWYyyvrEhOlnuyONeNWaOLw54fVdwP51cIhQ/X1ETvTH6y03zWPyVKnRLpXM3KEKboth6fVAg02tC/cevZOPfUEjxw2UTV1yXhUtdqaWFvG+GiJ6ol1g0kK8OJmaOC2S8GVNJVVhJWXjinDeuP7fdX4cbZo1J3UDpyerAM/IcmySzKC5bmFlELzhUxuj+U6Mrcdsj41hRKLHxfDoPjOEwNpu7f++oO9Jo0HksPBua5ceu5Y/BfM4dh88/PxTVnDMOfr5uOiyYPhsvBYV9jR9QGnye7zG9xCRMuEc7VwuxMyQXU1CHE9kS75kcU98Mz18+I2Nbj1EH5cHBAU4c3ZqyQmSHhYhHmBGtm/GXTwZS7i8JdReEXjstp3VNp9imC1eDz2pOmKBfeP0fuelNPh07V0URn8lAhAHBvY7vpgiLNEAekJ3ecd4r02OiaLsmWy/9dNQ6/vmISygqz8fC3J2H0wFzkZ2VIdZc2R1nAWUO4aItycXDAgGAz26Z24Xv1ZeyzM50YHSxUt6POeskUItadbdKMq2cOR06mE82dXmxNcePF8Mq5Kf34pDN8QA6G9s9Gr583vEoxAPTPyZD97fUFIlbaNPpfUZqfhdJ8NwK8CQP+7KVbMHloIS6bUgZAENmpxgxi+cyg5fnTA6HrVHk/6ukNmL4DstZ0aI7jMCBYw+a4ZHHp22eL7qIdR4Xr1UwxnVoh4aLCvHEDjT6EMDJdDlQFfbxv72gAz/NYt6MhJfn4VvaFaoHjOKkKrFhgy0gKGYuLmCigrJ4byjBI1VFFZnKwEaAZxo7FjmftxCHmyAox6rwT3WVscKlaJtIJk1tdtMa4AKHkB7F4XV+L/00oE6ykO+ra8MDrOzDlgbdRc7ilT/tMNSRcVPj9D6YZfQiqiHEuT394EO/vacSPX9iGcx7bkPTPVbrTTTBX6o7oLvrPV/UpF2rKz2MtLvnB7tvK9MZQcK7x/43Tg5Vd126vT8nnaf3/2FFvTwxOOl8ZYOaXBecadN6dGqz+uv94RyhYVeVYGtvMXQxT6caMltFYnCSLy/ajrXj2o0No9/jwxhfRA57Nhm2Ei57p0PlZGbE3MoCzmGj7Hz6/TXqsdCPojTKryOiA0GQwa/QAuF0O1Lf24Lt//Diln62cYFmLy0DxpqUIpJMmbxP8K74d7KWzr7EDLUle6S5b/zVm/uZdNEToEszCTg5PLaxM5mGljIrgpHP4RLcpa+ckmyGF2chzu9Dr53GgSZjsla5sAJrODyNRemd+/vJ21e04Ts3i0jcmlxci0+mQVWGOVPfFrNhGuOiZDm1Whg3IwU+rxgKQi4lkCxe7u4oAQSzc9i0h+HHbNyeTPgGzKEd3Snmo4mVpvlB0q1HRTsFEugUD89wYFexZ9cHXx5P6Wf/37l40tnvwf+/tjbmtOEanDspDVbAOitUpzMmUukU/9/Ehw47DqLULx3GS1UUsXyDGaDz87YmYP1H4P9ebXLhovaVyHKQYFy1ZRVrIdbtkrVoA8xRd1YpthEu6cMu5p2DUQHljQ48vuamRaisaO7J43hipoFp1bUvKPld50zh7zED873cm4aWbzkRJsO3DsTb11EWzGL/mTxImjHd3xdc8LlH8GmotiVs4zDJIOnFhUIQtW/+1IUG6RnNqsGz97nqh1YR4f6qqKMXgAuH6PWZ2V5HGeyoHLuQq0jF9WWyQKmK1poskXCzIOMVJ5+lNrnBRntM2mwdkVA4Xarqksv+O8h7mcnC4asYwzBhRhJKYFhdz/DPOHiPECH0So6qpXmgR06IgtNv5+sM5oXpJr1YfNeQYjBzS8cGy9bsa2sHzvHQtOByc1BbA9BYXjdsJFhfBVSRW0HboMGuPKJYvfq22OCXhYkGUJ53Xn1xXkTJdzm4TAcuIAUKjsq9T2PFYaXFxOdkmlsJqq1FhcZHSoU3yv5gQzHZpbPekpDuvphROE2Ve6UlpfhYe/c5kAKk9T82C6CraXd8msxQ4OQ6DgsKlwSYWFyAU5yaix2Jl5AD5HNKbZKu93pBwsSDiikOkJ8kWl7DgXJOs8pPBGcHMrXd2HZOyFlKNi1lSiTEukUzfZvlP5GdlSNlQqUjR17JCDNW6Mcso6YfYpuJQCsZahB1HI8WgaHFubPfgQFPo+zscIeHy2cETpq5PotnigpDFRXpOh7EfP1hutT/Rae70cSUkXBRkWqAC7Owx8l4e3iSX/7Za4FZfmDlqAIpz3Wjt7sWfPtifks+MZnEZXKjeETcgWRPMMykPC67ivmmO3r1XD7T45M1U60ZvRgatrvWtPQYVWzNuUPu5XZJltOp3G6XnnQ4Og4JCHwAeenNnyo9NK1pvqfWtPRjQT2lx6TsDct2YEWx1In6OlTD/LJ0ixG6aq/5f39Opk03/fnIFnvwYl/RxFTkdHK47czgA4O2dx1LymWoxLiJjgivrY20eWfqrP9hAihU5RlMRtAS+k4Jx0yKmzZR5pTf9czKQH+xp9c2J1FldzIJYd4mFdRUBwLMfHUrhEcUHe/5Gcxt5fAFkuhzS/xrQb7Gy7HtTpW7SDW098Fmo/xUJlyDiuZOd4TT2QBIg2T1iwoJzk/ppxnPueKFxYB1T5yCZhAvD0AjnZ2WgLHgz/roxFDDsC/5TWJFjNGL14Zerj0ZtgqcHvjiyiuyotDmOk6wuh5qSb+EC5HVxjB7SWSpNBB0OIMMCFnMAMl+RFuthcV7I6qLX0JcX5eDL+6qQ6XLAH+Cx/ah1ehdZ5L+cfKTIdKOvSI0s+94U6XFLkosHpZOrCICUEt3c6U16jRwgtr977CDBH72ngREuwYnbaSLhMmfsQCnO5bUkV+LUFJsrZhUl9UiMQwzSZ8vfpwtThxWGPecM3rvX3jZbek6tQakZYO+pWuK1ill3kY4ntMPBSTWY/rXtiH47TjK2ES59rZzLWyx1csFpQ6WGa8nuhqq8rswUV5EMCrIzJMtbKny/fAwLrRiMyKZo+yWLi3ku4Vy3Cz+ZOxoAsDPJvXQ0uYqCv+16uk4L9u1JdtE/EVlwbko+MTKDC7LxPxeeKntOFPEVZflStdnaFMRbJQJ79mpZFxbnhcID9B77s4Ixk/uPWydDzTx3vT7S18q5VixWVRhc3bZ2p3ZVYZ0RSgyO41AWDIqtT4G7iDXBr1l8VtjrYrGorxhTrugqMpPFBQgda7Lr4PjiCc5N6pEYx6zghHPgeEfKq1ubYfHyX2cMk/3NHtPQ/kLw7pGTqXH3xovM4qLFVcSkRO8/rm9M0xXBlh0769osU4jONsKlr1jRHSL2tEm6xUX5hPH3rKRTFnQXbf0m+ZVJ2XvF5CEFYa+fPlIoz/3FkVbJ9O03YYwLEBIuB5s6k5pOri3VVbSimmuM9GJYUQ44TihM1myxdFY9yM/KkArOKRkSbItwNEVxan1Bbe45NegeFn8XZievf97Y0jwUZGegrceHf249nLTP0RMSLkGsmDopnszJjnFJh15FSuYEsxaWrf8a1Ukuq86Or9r5V16UgxEDcuAP8PjbJ7UIBHj4gllFZrO4DC7IQp7bBV+AT2qNkXjSoU02RLqRleGU+hYd0HkVHguzDOmEsnChD0AalyMnTeoqYk7fgIq+n1BWgE13zZMssK4kBh1nuhyS1WX5O18n7XP0hIRLECu6isTCRI069rDQgnVGKHGunTUcbpdwebz4WXJXIewcHMk6MO9UIdPpf9/ajZUb9pkyOBcQjn9UMIV7f2PyfObaSv4Hj8nGZ+zIYmGs39udmh5RZuOCCaUAgDwmXRgAhhaKwsWcFhf29FU7lzlOWLBkBWPtxFYkyeKGs0YAEMouvL2jIamfpQckXIJYLTgXCBWhOtiU3NVWugXnAoDb5cQDl00AkILx1VC+fw5Tt+Lxt78OuYpMVMdFZEgwPuje13Yk7TO0uIqk2CHzDZFunBVMC/44BT2i2PPTLLeA75w2FI9+dzL+8cMzZM+LMS5HzSpcGAe8mqtIObxnjSmWajqJ7iM9GT6gH66sHAoA+NEL23D7i9W6f4aekHAJYrV0aAAYNVA4kY+3e5IaoMsrolysM0J9o6JMKKh2oCnJ0fYazr3JQ+Um8VBwrvkuYbdLWCUeb/ckrcaQppL/9tctuGjSYADAjqOtKUndNxsOB4fvTS/HREVsmNldRQGZq0jd4qJk/Z1z8MdrKvHkNZVJOaYbzhopfe6rNXWmjg8y313PIAIWrPmQ63ahNF+INj+QxFS2NAxxARAShk0d3qQKw4CGCXZArlsK0gWAE52Ce9BswbkA8LMLxkmPk9UEUJvFRcBCa5G4Gdo/GyV5bvgCPL48ktwCYqywNvuYisG5bT0+U9Zy4WPUcVFzb3IchwsnDpIs7XpTUZaPv904U/r7SJKLSPYFEi5BrHqTGx2cXPVOkWNRXlfJ7o1kFnLdLikNMZn1IESLVixr36obZqBfpmDN+J9/bwdgvhgXQMjIEqvobj10Iimfoc3iYt8miyIcx0nxD9uSnAHHnmpmH9OcTBeKgq1RzOgukllcVE5lo+ahWaOLcfoIYYGU6tjJeCDhEiSUVWTuC1JJSLgk0eKi+NuYpm7G0OERVmv3rNmetM+QblwxTr2cTBfuUhTdMqPFBQh12d6RpEJ08Whni13ScSMKl41JLkRnRpEcjWFFQpzLl0dajD2QGJiti/XAoBX/OAkX82NFVxEApl9J6tIhu9PIly5OCl8eaU1aWri4Xy3zwsIzhmPhGcOlv3MyXVG2No4RUqfo5JyXfrUcUgVWLHGQCHPHCYHbHx9oTupkI7MIWmBMzxkrjMvm/ckPXO4Laqn9Rp6zA4NW5uMdJFzi4oorrkD//v3x3e9+N3UfasHgXEBImQOAw0kMQlNO2OkUBLjse1Olx7sbklMNNhREGvvcczg4PHj5BCyYNgTlRdlYdPbIpBxTXxk+QDgva08kx0yvqVcR7O8qAoAxJXkYWypYXt/embxUVofFLC7TRwiLjuraFmMPJAbqxU+NG+uSoMWlsY2ES1zcdttteP7555P6GQebOrHqo4Pw+IRJOGDBdGgAKC8SgtAOJ2mCAMJdRb0aOvPahdL8LJwSTEOc//tN2JeE2iTxFkrjOA7LrpqKTXedizNVuuSaAVFQN3V4MO/xDbpnF2kKzk0TiwsAVA4X4hLueeWrpMUVOdng3KR8gr5MKS8ExwG1J7rQZGLrgTj3ZDJF5oxcHJLFJUHmzZuHvDz9c9Vln/H4Btz/+k48uWE/ACY41xKXZIjyYL2C1u7e5EXPp49OUUWchAHgjS/173ocEs3WOveiUcCUKD/Y1IlNe5t03X88vYrSgRkjQgXKbvrr53jivb26uzbZGJeMJFZy1Yv8rAxp0VFjYquLGK/Vz+2Unkt1/zmWgXmCcNn49XFs2GPOwoa6n30bN27EpZdeirKyMnAchzVr1oRts3LlSowcORJZWVmorKzEpk2b9D4MzXx6QFidWHV11s/tkiaJ+pbkdDJW1nFJN5YumCQ9rktCbQOrZrTF4vKpZdJjvS1Vmkr+B39bzf2bCGI9F0Cwcj3+9te6V9NlSwZlZzojb2gippULgu7zJLft6AviwoUVhkYKlxkjiqQGvv/37l7DjiMauguXzs5OTJkyBU888YTq66tXr8Ydd9yBe+65B9XV1Zg9ezbmz5+P2trahD7P4/Ggra1N9pMIVnUVAaGGgHf9+0u8+WW97vtPp5WrGqX5WXj8yikAgPpW/cWhVQPDY/H4lVOkkux6Z71paYpq5Ws6XrIynGHVY/WOyWJdRTkWES5i7aPXv6wzXfaOiCjCWYHdZqBw6ed24elrpwMQkhI6PMkpItkXdBcu8+fPx8MPP4wFCxaovr5s2TIsWrQIN954I8aPH4/ly5ejvLwcTz75ZEKft3TpUhQUFEg/5eXlCe3HyquzKcGqql8cbsHiv3+ue8VDc17uqUXsQtuQBOEixbhYLPgxFhlOB84bLwiXpg59uxdrsbikQcV/GdOGFcr+fl93i0toJDMt4CoCBEtUVoYDh090J7XpZ19Qs7gYXTRvankhAMEl+/i6PYYeixopPfu8Xi+2bduGqqoq2fNVVVXYvHlzQvu8++670draKv0cPhxfQzzRDWLFXkUiVcFVrci7u47puv90t7gAIavWN81daOnSdxLmbWpxAYDioL+8Sec0XS0Wl1APKDuObDhiQz6RL4+0wqdjsUh2UWeFGBdAcGkNLxJS82tNWglW1ODs+BrpKgKEbtRTguLlze36W/H7SkrPvqamJvj9fpSWyifa0tJSNDSE0vguuOACXHnllVi7di2GDh2KLVu2RNyn2+1Gfn6+7CcRrNirSGTeuBJZmfXPk1xBMx0ZMSAH4wfnw+sPYPUWfbtFW9naF4tkZShoinFJM4sLADx97XQUB7vGe/0BbD+qXxsAVqyInemtwLBgav5hkwoXyVXEzMY9vcZXJ//VxeMBCIXo2k3WNsEQ2axcAfE8L3tu3bp1OH78OLq6unDkyBHMmDEj5j5XrFiBiooKTduqYeU4A47jsHjeGMkv+cHXx3VNp0v34FxAGOOrpgvdU/XuxGvnWAwxQ+FEp1fXGIN4gnPtOK6ROK+iFFt/eT4uniwE676/R79quqJu+eXF401b+FANsYKuWS0uosXVabITdfqIIqke018+PGjw0chJqXApLi6G0+mUWVcAoLGxMcwKEy+LFy/Gzp07o1pn1BBXZdJt0FznTlzMHluMwQVZONnVi491rBZJriKBScFYog17juuapWDVdhNaEPvF+AM8TuroYtMU4mKHizpBThsmZNN8rWOAruh1Glua3FIVemN24cIG5/5k7mgAwA1njTDwiEKcUiL8r5e/sxe9JupRl1LhkpmZicrKSqxfv172/Pr16zFr1qxUHkoYVnYVibhdTqkgmZ51M8T7/7dOLcENZ43AC4tO123fVmLcoJAb8pa/fa7bfq1s7YtFhtMhiRc9A3S1WVzsa8mKxeiBQlyHntlcodYU1hpQUbh8k8RGqX1BbBjqcHD4adU4vHnb2fjlxRUGH5VAVUXIoGCm3kW6C5eOjg7U1NSgpqYGAHDw4EHU1NRI6c5LlizB008/jWeeeQa7du3CnXfeidraWtx00019+txEXUU85CXtrXVJhiN25f2qTscW92JlR5cD9106AbNPGajfvi1Ertsl1Sapa+3BV0dbEQjwaGzvW6aRVWsIaUWMc9Gzb5G27tDCb5sOa1TE5qvfNHfB69NnpRzgw2MxrIAY47K7od3wbB01xPPUyXFwOjhMKCswTUPLK4PuccBc3aJ1PwW3bt2KadOmYdq0aQAEoTJt2jTce++9AICrrroKy5cvx4MPPoipU6di48aNWLt2LYYPHx5ttzFJ1FUEyF0hVltNKBEr6eqZtpuOsQKR+P33p+HcU0sAAMvWf42H3tyJ03/9Lj7UwcJl9XMvEqNLhNX/j17YptvEoankf/C3TYc1KkP7Z6OoXya8/gDe261PlqFa9osVEO+JAKRK6WZAXDCL1kMzDivHcVJq9LG25BQ4TQTdhcvcuXPB83zYz6pVq6Rtbr75Zhw6dAgejwfbtm3DnDlz9D6MuGBTK8148sRDab5Qb6T2RBdOdOpjmo+nCWA6IHaM3ry/Cc9+dAgA8Ju1uxLen51dRQDwndNCq7Z/fJpYoUklWkr+QxpXu45sZDiOk+JcXq3Rp01FwKKuokyXA66gBaPWRO4ibzBmRLQemsXKoqQkGGBva4uLUSScVcTLC6xZ/SYnChcAuPaZT3XZJ5/ONncVrj1TsA6yKYs9vsSzuOwcnAsA3xpfisXzhKDDt3Yk3r043t47koXANne5+Dh7jBDvpldBynibgZqJBy6fAADw6OQ2SxQXM3jisZg9dkjsFn3czhYXo0jUVRTgeZmriLP4iGS6Ql/gq6OJtT9QEmpASQBAXlYGTh0kz6yIN9X389qT2HtMyPiwczq0yFXThwEAvjraKnVkj5d4s9v4NLa4AEI6KwDU6dTDzMrNQKXK12369xqLB9aqIsYeick6Zq2cXZonjN2xNrK4mAYeCleRcYeiG/+5fTYAYSI0sj26nakokxc61BIsKlLf2o0FKzfj/N9tBGDvAnQi5UVCzEWvn8fOusQEdbxZ+WmcDQ0gVO25qcOTsFhkCbmK+ryrlCNVvm7q0rWacF/wSMJFrONi5NFERrS49DUJQU9sI1wSdRUp0yrtMHmcOigPeVku8Lw+tQvs7spIhEsmD5b93d6jvRHZ7np5bQ1P0OVk5+Flg/y2JVjZWXmtxnIdpbuHs39OBrIyhFu8HrEdAdEyYMETdczAXBRkZ6Dd40PN4RbDjoM9Zb1WcRWRxSV5xOMqevajUBXAAM/bKjgXECaJUcVCJseB431PQSVXUTjnnlqKVTfMkNq/t3T1arZusZk1/gCPHz6/FYB560zoxfQRQrDo1kOJCRdfQL5SjhWvEMoqSs8zl+M4TB5aCAD49+dH+7w/s0+w0XA5HVKn6K90bIMQL2wVcslVxNRxMSMhiwsJF8M40enFA6/vlP72BxQxLjaZnkcGhcvBJh2ESxrEYCTC3HElqP7V+cgONrdraO3B/761G+cv+wCtXZHTfru8IYHT6w+Ysm18Mjg9GHOx5dCJhMr/KzOJYo2bnZtXauXq04XYouc2H0KX14eeXj+6vYm5jQKS5VWvo0stI8SeRSeNi3NhT2HRfRdyFZlzYEWLS3OnxzRutrQTLsqusgHeXunQIiOLhQJUelbOtMnQ6ArHcVLgX31rD57csB97GzvwF8aqp4RdWGlK67UJk4YWIC/LheZOb0LN//x++Vh1ahR8drmmE+H8ilIM6JeJ7l4/Hn1rD859fAPOWPquahXULq8vagaS38IWFwAoLzK+2SLr3gy5ioS/zZr9NqBfJpwODjyvb/XrvmDSoUoeSrf4rvo2zH1sg/S3Ra/JMMaU6CdcKMYlOoNUMhai3RzZG3+vwemZqcTtckpxLrsb4g/Q7VW4imJbXITf6XzW9nO78IuLhC6/qzYfQl1rD1q7e7HtmxNh2175x49x1iPvRTx3JVeRRWcNsfT/9qOtcafW6wW7TvEqgnPNKggdDk6qfm2WAF2LnoLhaA3OVTthm5lCbWY9eeJFrFa6r7Gjzxep1POlz0dlTwYXCBkL9Uy14i5v5EmV/W+YqXFZKhAb9O1piF9QK4NzOz3RXR6hXkXpfeaePyG8ge2/th3BuY9vwAOv7wDP8/D5A9gRzPZ6Z5e80m517Un88Pmt0mrbrC6NWIgxLvWtPbJ7fqpQ3ofFGC3R4m/WAnRAKM7lsic+0q2waV+wjXDRGpwbK23VvKdOfIwY0A8OTsh26WtzLGnI7DI4OiPViGCES7TAUTa+gy1ilw6IPXQOJdC3yBenq4gsLgL5WRn4f2eNlD33zq5GHGjqxLMfHcKOujZZ4KU4Xv4Aj79+8g2uWLkZ63eGxIxVhWBOpgsF2UIw/UlDhIv8bzHGxQoViQtzMqXHr9X0PdC7r9hGuGglVkiBmU+eeMjKcEqWgCM6Vc60S+Cy3oiuIrbQlyeKIGHFc1dvegTmigwMlg9v6ohfTMcdnCs+oNMWs8cWR3zt9hercbIrNJE3tHnwas1RjP7FWvxyzVdh25vYMBCTAcFO5UZYXJTxlWIJBb8F0sxvmjNKelx7wtgifkA6CpcYysXE507c9O8nrC5O9DGgKn3CRxNDDPpj44mitQBgz0E2w+jmuaOTcHTmojhXmDgaE6gJ4VfEuMSyuFhhJZsqRgeD9dXYf7wTm/c1S3/Xt3bj0bf2qG5bnJspne9WZEj/YCE6HTuVa+WR/+yW/d3aLWQeWqGw36wxxfjFRacCgEzkGkXaCZdY4R5WNYOqIZb8/9Wr4aumeAgF5/b1iOzJuGDcBpt63hGlIB2rnbuYOI2fXTBO/4MzGaOCrqKGtp64feW9CldRrFUzuYpCDOmfLVkb1Pg10yR03Y6GiNlFc8YORIbTutPGKSWJx1j1lac/lGcatnTJhYuZY1wAoH/QXUQxLjqiNThXaa6zMzOZYLS+QMG50SnNdyM/yyV7bm9jB+5++UvV7dkg05Zu4SbgcnC2Es2RKMjOwKiBQuD4F3FWMFUG5775ZX3U4GZxe5dZa6mnEKeDwxu3nY3XbzkbV1aGunXfdE64lU+Mu5p9SjHeumM2Th9RhIVnDMes0QPwPxeemrJjTgbjBgnCeePe4wYfScjiImUVmVy4FPUj4aI7WoNz00m4/PqKSdLjt3c0JFw8iCwu0eE4DhPKCsKe/8dnh1W3Z8/Bj/cLJnorr2LjZWqwmmu8pdeVMS4769tw/2s7Im4viprMNBrbaAwuyMakoQW499IKPPqdyai593xcPrUs4vZzx5Xg1EH5+OdNZ+Khb0/E3394hqz7vBURs9r2NXZgT0N7jK2TS4vkKhL+NrtLk4SLgUQLcTlvfEnqDiQFjBiQg4zgavNHL2zDmHv+k1BQpAgF50ZmRLBSsRZYy8HfPq0FAOn/lA5MCdZy+eJIS1zvE4V3cbCmBBAaPzXEOhlsx3RC6G7+vRnlKMzJxLjSPClgeu1ts9Ev0yltN0HRSNQOsAuMj/Y1GXgkTIyLyZssiojChWJcDCCSxWX2KcV4+NuTVF+zKi6nAxdOlDcDfGnrkbj3QyX/YyPe/JWo1dBRS8nPdDnDnrMr4wcLE2K8fbREwZef7cJ540O1SbZ9cwIrN+wLa7PgDQqddLJmxYvDwWHLPefh0CMXo6IsH6NLQkG8+VkZBh5Zcsh0OXD1TKENgigcjEIsU+GziKuof1C4dHn9mvuyJYu0u6LVhMus0QPwwqKZUlqrnRhWlC37+0Rn/BYXchXFJpJwUUvZVctsq7Dh6jYSYmZHfWt3XD2LWJP609dNl2JlvvPkx3j0rT144HW524gsLvEzirEc5inituyCWMvFaOFyqKkT+xrbcbBJCBQuyokcPG0G8twuuILiymh3Udpd0YqMSuz/zUV4YdFMYw4mBUwaIo+96FtrclIukSiJIFzUrApqc/WM4f31PiTTUprnhtPBodfPx9VxVgwSFxemc04ZKHv95eqjaGHM2L1kcYkbUVQC9rS4ACHh0mawcOnu9eO8ZRvxz6AVvDjCPcQscBwnFaIz2l2Udle00uLidHCmT0PrCxdMGIRHvzsZ359RDgBhVXS1rHjTJ5w5cSJZXK7+8ydo75HfIJXZMQBQmUbCxeV0YFAwyPNoi/aGd7wiiHHuuIFh23zIxC2I6dNusrhohj01yeKSPNSmnLLC7PAnTUZ2pnAtGV3x2zZXtPZeRSk6IJPAcRy+N70cl0wWsgdYE98v12zHlAffxr7G6DUNyFUUm+J+IeHCZrF0ev24/7Wdsm1F8Tz7lGKcX1GK2791Cs4cPSA1B2oSRLdsPBZA5aJj7rgS/PbKKfjWqaGg+lv+Xo2vjwnZImJJdbK4aGciE7xq9piLRDGDcFFbL060gLs4KxiL56EYF32gdOjo9HMLJ9yeY+1o6vCA53n89ZNatPf48K6iqZoSquMSm6LckH963KA8LF0QCvT+eL88e0G0uIwpycWfr52OO88fmxY1XFhKg03bjrWF1xhq7epVtUopLS4A8J3KofjL9TPw6HcnS88tXbsLL35Wi7XbGwCQcImH+RMH4aHLJ+CNW882+lCShhmEyy8vFjp2XzChFJOHFuDCCYMwMo7MRKPIyggKF4O72qfdFR2ryaJd6ecOmX0X/uUz2Yl3skv9Avb5A3j9izppVZxmc2tcsGmkvf4ALpk8GMMilEYXz0GrdtnVA7FsvLKWxjfNnTjt4fW49R+fh71HKo2ucte6aFIoe+79Pcfx85e3S3+LExURG4eDw8IzR2CiIjbOTphBuCw6eyT+8cMz8NiVU/DaLWfjjwsrLbF4ycoQLr4bVm3BV0dbDTuOtBMuaump6QArXHbVt6Gb6ZHT5VUvT//8x9/g1n9U4x+fCbUyqI5LZNibjtcfQF5WBt68TVi11rXKy9tLdRtsaorXwuQhhQAQ5qZ89qND8Ad4yVrCEirhHz5uuW4X3r5zjupnUVYRwWIG4cJxHM4cPcByAdCixQUAfvK3bYYdR9pd0XFkX9oK1iIAAJ2MWImU2vbm9nrZ3xZYEBiKGAQq3ozysjIwNJilsfdYyLIgdYNNY+EyuFCIcVG2o2DrQyjdRcqsIiUjBoSb2k8pycXZYyJ3RibSj4Ic4fr0+AKG1yOxGmyge11L31rJ9IX0Ey5pqlwKsjMw+5TQDZw10UeqputV+DHTd5rVxl0XnoqRxf3wG6bVwphgQa/dzHhboRtsshksBef2yARKO1P3prlTmQEn/I5kUs90OXDV9HLp77//cCbevnMOsjPTp7gfEZvcTJd07Rldy8VqFDGNOotzjas7k37CJT11CziOk9WrWfTcVulxJIuLMpDZCj5YI1l09ki8/9O5smJyYsDdfa/tQEPQuiBmu2SlUbVcJQNz3XBwQtXQf38u1LE42tKNN78MWfkaFRlHAQ0VnB+4fAIAwQ03rjSPzlkiDIeDQ74J3EVWhG1twrbeSDVpJ1zSNcYlGmJ79U8PNOP37+yVYl6yM9J3YtUL9uJ+66t68DyPDo8gXNLZEuByOqRFxF3/+hLdXj+e/fCgbBtlxpF45UZrRpeV4cSmu+bhP7fPxgADb6yEuTFDnIsVGVuSJz3eUddm2HGklXBp6fLiN//ZJf391MJKA4/GGB4KrkhZWrp6wfM87lhdg9+98zX+7919ANJ7YtWLa2YOlx5XH27B797Zi9e/qANA43vdmaGx2VHXiuMKl6Wyxguv0cVWXpQjdQEmCDUKg8JFadVLJmNLc2NvZHK+Nb4EC04bIv2tDCdIFbYRLloK0D34xk58dVRQiRPK8lE1YVCqDs80jCwOv3i8/gAOn+iWAiU/O9gMAMhRTKxkdY+fgpwMPH7lFADAqzV1+L9390qvpbtF6+6LxkuPj7V5JMufWMDvLx8ewEk2GytKVhFBxMPkoYUAgG3fnEzZZ4r1hJ69IXqRVDPDcRwe/U6oZlKnSi+2VGAb4aKlAB2bdx7N3Gxnxg4KCZenFlZKnXqrD4cuYFfwAnMrYjBowkiMU0rUV1rpLlyyMpxS1dujLV042tINQCjgBwD7j3fiFqaeC1VwJvRibPAcqz2hveWEXlh97nE5HVI9F7UmsqnANsJFC+xEnK4ZHSV5WVh+1VQsXTAJVRMGYVCwgml1bYu0jS+YrxsenJuyw7QVk4cW4GcXjAt7viSfYjDEfji/WbtbqukiChcA+Ghfs/RYS3AuQWhhSGEoqy1V2Cm8MjdYF6wzQg2wZJNmwiX0ddM52+Db04bgB6cPAwAMDjb2WsvUbGnvEU5GZR2N9B2xvsFxHBbPGyN77p6LxuO0YenTWDESuSqN/E4dpB6fEkojpzOR6BtGdDkW76Z2OHtzMoPChSwuycedEfq66WpxUTI16OttZLpGi+a/MOFCY9Ynrp81AgDwyIJJ+OGcUWktnkXyVCqHjosgXERIuBB9pUgULhFKQSQD3kYWQ7EatVE9i+zZtzwC7A2Pbn4CpcFCYCyixYXquOjLLy8ej6tnDosY85KO5KlYXMS4KyXkKiL0on9QuHR6/fD4/GHxfMnEDrGCYgA9ZRWlALY3TDqXW2cZ0C+8+mGHx4dAgFft0EskjsvpwFgqiiYjzx0uXCIVtopVOZcgtJKX5ZLmg5YITWaJyIgWFxIuKcAps7gYeCAmYtgA9Q7GHV4f/ArdQkNG6I2aqwgAnrh6mvRYFNChAnTJPirC7jgcnFTLJVVxLnbKipOEi5+ES9JhV2p2ivDuC/lMI0CWjh5feF8nG1xwhLlQnntnjRkAADg3mCYNhBovSq6iFB0bYW/6B63NFy7fhA17GpP+eWKTUDucv26yuKQOdqXmIzeIRGl+eJxLh8enklVkh0uOMBMTygowuCALw4py8OsrJmLl1UI1a7aPk9TBN3g6UnwaoQf9c0LWvuufjVz/S3dscPoaHeOSVsG5bIxLr0EmLjMyemC/sAqS7T29FONCJJ3sTCc23jUPAZ6X11lycMh0OeD1BdCttLiQcCF0QAzQTRV2svKTqyiFsMLFKKVoRn4yd0zYc+09PvgVV5rY1Zgg9CTD6VDN6hArC/f0igURhedJtxB6oBQuLUmOdQnVcbH+CUzBuSq88cYbGDduHE455RQ8/fTTSfkMO6nfvjJiQA5mjizCwDw3RgXblrf3hLuKjMrZJ9KTkHARBLMYI0DBuYQe9FdkVN798vakfp6t6rg4jbW4mM5V5PP5sGTJErz//vvIz8/HaaedhgULFqCoqEjXz1FaE9IZjuPw4o/OAM8DP3phGw40dQop0cExcjo4+AO8rNMxQSQbsR9KKDhXeJ5iXAg9yHXLrXyfHjyRks+1w9lLFhcFn332GSZMmIAhQ4YgLy8PF110EdatW6f75yiLq6U7HMfB4eCkgmBsjMtTCyvx2T3fQkWZemEwgkgGWUGLS2O7B18eabHVipUwnmnBlhviJHyyyxueSakjdppxbCdcNm7ciEsvvRRlZWXgOA5r1qwJ22blypUYOXIksrKyUFlZiU2bNkmv1dXVYciQIdLfQ4cOxdGjR/U+zKSeoFZGFC4djKso0+VASV545hFBJJPsTEG43PWvL3HZEx/hxc8OA6DgXEIfzhpTjL/dOBOv3DwLgBA+0J7M3jtSjJb1z1/bCZfOzk5MmTIFTzzxhOrrq1evxh133IF77rkH1dXVmD17NubPn4/a2loAIT8gS7R/tMfjQVtbm+xHC6Rb1BG7frYxwsVJQQWEAYgVdMXeWTvrhWubXEWEXpw1phgTygqkuiRt3cmvomuH09dtcIyL7sJl/vz5ePjhh7FgwQLV15ctW4ZFixbhxhtvxPjx47F8+XKUl5fjySefBAAMGTJEZmE5cuQIBg8eHPHzli5dioKCAumnvLxc03FSqq86YrfeDk8oq8hphyuNsByDVfpoAfaIESDMRR5z30sWdppxbGdxiYbX68W2bdtQVVUle76qqgqbN28GAJx++un46quvcPToUbS3t2Pt2rW44IILIu7z7rvvRmtrq/Rz+PBhTceiZtkhQiXY23t6JXcaWVwIIxhcEF7RGaCsIkJ/RLdklzd5JR94G1V+Nlq4pDSrqKmpCX6/H6WlpbLnS0tL0dDQIByQy4Xf/va3mDdvHgKBAO666y4MGDAg4j7dbjfcbjdWrFiBFStWwO/XduKRwUUdsemdzOJCMwVhAJEsLuQqIvQmJ0O473UnU7gEf9vh9BXToT3plA6tjFnheV723GWXXYbLLrssrn0uXrwYixcvRltbGwoKCmJuT+nQ6siCc/0kXAjjiCRcbLFkJUxFyOKSxOBcCeufwJnBgpFp4SoqLi6G0+mUrCsijY2NYVaYZEOuInXE4Fy2ci6tcAkjiOwqovOR0JecoHAR20skAztNOUa7ilIqXDIzM1FZWYn169fLnl+/fj1mzZrVp32vWLECFRUVmDFjhqbtKThXHSnGxeODaAUkiwthBIMiWFxcdD4SOiOW/99/vDNpnyF1h7bB6ZvhFL6EbYRLR0cHampqUFNTAwA4ePAgampqpHTnJUuW4Omnn8YzzzyDXbt24c4770RtbS1uuummPn3u4sWLsXPnTmzZoq3LJwkXdeQF6ISTkiYKwgjEVZ2SguwM1ecJIlFmjRHiKKtrT8bYMnFEi4sd7qZug5ss6h7jsnXrVsybN0/6e8mSJQCA6667DqtWrcJVV12F5uZmPPjgg6ivr8fEiROxdu1aDB+e2nLyJFzU6Rd0FfX0BuByCCeng4QLYRCrbpiBmsMt+OzgCWze3wwAKExxV1/C/pw6KA8AcCCJFhcRKkDXd3QXLnPnzo0ZP3LzzTfj5ptv1vVz480qMkopmh2xsR0AdAYD1aiOC2EUc8eVYO64Evzile2ScCnJcxt8VITdGNo/BwDQ0NYDnz8Al1P/KApbxbg4jQ3ONV2TxUSJN6uo12+js0hH3Ix5XrzQKMaFMJqfnDMaWS4n+rmdmD9pkNGHQ9iMgbluZDod8PoDaGjrkYRMMrDD3TTTbq4iwto4HBwyXQ6ZkibhQhhNeVEO7r20wujDIGyKw8FhcGEWvmnuwtGT3UkRLnZqEmq0q8h03aEJ42HdRQAJF4Ig7M+QQiH9/mhLd1I/h7OBzUW0zHt8yUsfj4ZthEu86dBEZLIy5KcF1c0gCMLuSMLlZHKEi52CE3Ldye/tFA3bCJd406Gf/K/TknxE1kVpcaF0aIIg7M6Q/sm1uEjp0Da4nYplM3p6A+g1IM7FNsIlHn51SQXmT4rccTrdyVIIF0qHJgjC7qTKVWQHxLIZANBpgNUlLYWLk+bhqLgpxoUgiDRDrA/U3pOciZi3kbMow+mQ4lySNV7RsI1woRgX/chWxLiQq4ggCLvTL8mNFu3kKgKMrZ5rG+ESb4wLEZkwV5FdrjSCIIgI5ATdH52e5GTKiPYWO2QVAcamRNtGuBD6QenQBEGkG6LFJenp0Da5nWYGqwtTcC5hCpTChXQLQRB2pyAn1LzzUJP+PYvsVPIfIIsLYTLEVDdAsLbYoSkYQRBENErysqTHje2eJHyCfSrnAkKALkDChTAJXqaPEzVYJAgiXZg0ROhzl4wUXyk4124xLuQqShzKKtKPnfVt0mPqok0QRLqQE4xz6UxSZhFgH4vLjjphnnj9i/qUf7ZthAtlFenHfdTMjiCINEQsrNaVhMwim4W4SPz78yMp/0zbCBdCP04b1t/oQyAIgkg52Ums5SJ1h9Z9z+kHCRdCFbuYMwmCILTidiYvbkOq42KTe+tvr5wCIBQXlEpIuBCqZLmcsTciCIKwEWLAqac3mbF99lAugwuELKye3uQU7IsGCRdClawMOjUIgkgvkpkpY9s6LpRVlDiUVaQvyiJ0BEEQdiczibVJpBgXexhcqACdHlBWkb4o+xURBEHYHclVlMTJ2Ca6RRqr+tYe1DZ3pfSzbSNcCH0h4UIQRLqRVFeR7ns0FtE6BQB/eG9vSj+bhAuhipgWSBAEkS4k1f0hVs61ia/IzSxuvzlBFhfCBOQz/YoIgiDSgaTGuAR/20O2yC0uqTYnkXAhVBnaP8foQyAIgkgp7hQEnNrE4AIH8z16A6kN0CXhQqhy+3mnoLwoG7eeO8boQyEIgkgJyU2HtleUS1G/TOlxrju1FnoSLoQqxblubLrrXPx31TijD4UgCCIluIOFN5PrKrKHyYXjOPz++1MBAIEUizISLgRBEASB5Abn8lJwru67Ngxn0F/k85NwIQiCIIiUIwacegyoBmtFXEHhQhaXBKHKuQRBEERfSKrFxXaVXABH0HzkC5BwSQiqnEsQBEH0hZBw0b9xoB1dRS5n0OJCwoUgCIIgUk8qKufapQAdQBYXgiAIgjAUsY5LTy/1KtKCyyGMl5+EC0EQBEGkHrFHW0+v/q4iG4a4IKhbSLgQBEEQhBGIwsWTBIuLGJxrI09RyOJCWUUEQRAEkXqymBiXZFkR7FKADgCcZHEhCIIgCOPIYjoee3TOLLJZxX8AgDNocaECdARBEARhAKxw0TtAN5RVpOtuDcXJUQE6giAIgjAMp4NDRrA2id4BumKTRRvpllDJf3IVEQRBEIQxJDWzCLCVcqECdAxXXHEF+vfvj+9+97tGHwpBEASRRoSES3JcRXaCCtAx3HbbbXj++eeNPgyCIAgizcjKCBahS1Jwrr2yisjiIjFv3jzk5eUZfRgEQRBEmpHlSq6riIJz+07cwmXjxo249NJLUVZWBo7jsGbNmrBtVq5ciZEjRyIrKwuVlZXYtGmTHsdKEARBEEklmUXoAFuFuEgiLMUGl/iFS2dnJ6ZMmYInnnhC9fXVq1fjjjvuwD333IPq6mrMnj0b8+fPR21trbRNZWUlJk6cGPZTV1eX+DchCIIgiD4iuYp0tLjwdiziAsARdBWlunKuK943zJ8/H/Pnz4/4+rJly7Bo0SLceOONAIDly5dj3bp1ePLJJ7F06VIAwLZt2xI83HA8Hg88Ho/0d1tbm277JgiCINILKThXxxgXdl63V3do4XeqhZmuMS5erxfbtm1DVVWV7Pmqqips3rxZz4+SWLp0KQoKCqSf8vLypHwOQRAEYX/cLv2zithp3T6yhY1xSe3n6ipcmpqa4Pf7UVpaKnu+tLQUDQ0NmvdzwQUX4Morr8TatWsxdOhQbNmyJeK2d999N1pbW6Wfw4cPJ3z8BEEQRHqTDFcRi40MLpL1KNXBuXG7irSgNIXxPB+XeWzdunWat3W73XC73VixYgVWrFgBvz9JRYMIgiAI25OMOi62jXGRXEXxz/N9+lw9d1ZcXAyn0xlmXWlsbAyzwujN4sWLsXPnzqjWGYIgCIKIhmhx6dYzOJd5bKc6Lg5GqKTSXaSrcMnMzERlZSXWr18ve379+vWYNWuWnh9FEARBELoj1nH597YjyfkA++gWKasISK27KG5XUUdHB/bt2yf9ffDgQdTU1KCoqAjDhg3DkiVLsHDhQkyfPh1nnnkmnnrqKdTW1uKmm27S9cCVkKuIIAiC6CvOYP+don6Zuu3Tz5gjnA77KBf2q5hauGzduhXz5s2T/l6yZAkA4LrrrsOqVatw1VVXobm5GQ8++CDq6+sxceJErF27FsOHD9fvqFVYvHgxFi9ejLa2NhQUFCT1swiCIAh7MnvMQPzpgwPw+vSLcWGL2WU6TVmwPiFYV1Eqw3jiFi5z586NGWh088034+abb074oAiCIAjCCDJdgrDw+nUULownIMNpJ4tL6Lv4UxjkYhvpt2LFClRUVGDGjBlGHwpBEARhUSThoqPFRdxXpsthrwJ0jIJIpavINsKFsooIgiCIviK6cjxJEC5uG7mJAJtkFREEQRCElQlZXPRL9BDdTuK+7YI8xoUsLgRBEASRctxJiHGRLC62Ey6hx2RxSQCKcSEIgiD6ijvJMS52gqPg3L5BMS4EQRBEXxHFRYAHfDpZXewqXIBQXRpyFREEQRCEAbDiQi93kcemMS5AyF1EriKCIAiCMAC2QJxe7iLJ4mKzrCLAmA7RthlFinEhCIIg+orL6ZCsCLoLFxtbXCjGJQEoxoUgCILQA1Fg6FXLJSRcnLrsz0w4OTHGJXWfaRvhQhAEQRB6ILp09Ipxkeq42NBV5CBXEUEQBEEYi2gZ0dtVZLc6LgDAScG5JFwIgiAIwhCi1XKpa+nGkxv2o7WrV/P+NuxpBGDTGBeHaHFJ3WfG3R3arKxYsQIrVqyA369fmWaCIAgi/YjWIfq7T25GXWsPag6fxJ8WTte0v017mwCErBN2glxFfYCCcwmCIAg9EIuqqWXK1LX2AAA+2teseX+5WYKN4MrKch2OzlwYocVsI1wIgiAIQg/ETJloKb6OBGbsgXnuRA+JYCDhQhAEQRAM0SwuIi4bZghZBRp5giAIgmDQIlwcdgxYsQgkXAiCIAiCQRQuvmgWl0R8RYQukHAhCIIgCAYtFhcnCRfDsI1woV5FBEEQhB6QcDE3thEulA5NEARB6IGUVRSlNgm5iozDNsKFIAiCIPTA5RQtLpFL/jtIuBgGCReCIAiCYAi5iiJvQxYX4yDhQhAEQRAMoQJ0USwulA5tGCRcCIIgCIJBk8XFScLFKEi4EARBEARDSLiQxcWMkHAhCIIgCAZNJf8pxsUwSLgQBEEQBEOkyrmt3b3SY8oqMg4SLgRBEATBIAbnvv5lvfTcXz48iCkPvB22DZF6bCNcqHIuQRAEoQc9Pj8AoCTPLT330Bs7Zds4bDN7Wg/bDD1VziUIgiD0YPYpA40+BCIKthEuBEEQBEHYHxIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBhIuBEEQBEFYBtMJl8OHD2Pu3LmoqKjA5MmT8dJLLxl9SARBEARBmASX0QegxOVyYfny5Zg6dSoaGxtx2mmn4aKLLkK/fv2MPjSCIAiCIAzGdMJl8ODBGDx4MACgpKQERUVFOHHiBAkXgiAIgiDidxVt3LgRl156KcrKysBxHNasWRO2zcqVKzFy5EhkZWWhsrISmzZtSujgtm7dikAggPLy8oTeTxAEQRCEvYjb4tLZ2YkpU6bghhtuwHe+852w11evXo077rgDK1euxFlnnYU//elPmD9/Pnbu3Ilhw4YBACorK+HxeMLe+/bbb6OsrAwA0NzcjGuvvRZPP/101OPxeDyyfbW1tcX7lQiCIAiCsAhxC5f58+dj/vz5EV9ftmwZFi1ahBtvvBEAsHz5cqxbtw5PPvkkli5dCgDYtm1b1M/weDy44oorcPfdd2PWrFlRt126dCkeeOCBsOfVBIy3qwMBTxe6O9tJ4BAEQRCqdHW0I+Dpgre7Q5orAp4u2Ta93Vma5xF/TycCHh/a29vQlhXQ/XiNRPhuvehob0NbNt+nfYnjyfMx9sP3AQD8K6+8Iv3t8Xh4p9PJv/zyy7LtbrvtNn7OnDma9hkIBPjvf//7/H333adp+56eHr61tVX6qamp4QHQD/3QD/3QD/3QjwV/9u/fH3Xe1zU4t6mpCX6/H6WlpbLnS0tL0dDQoGkfH330EVavXo3JkydL8TMvvPACJk2apLq92+2G2+2W/h4+fDgAoLa2FgUFBQl8i3Da2tpQXl6Ow4cPIz8/X5d9zpgxA1u2bNFlX1baZ7qOpRXGETD/907GPtP1nNR7n1Y5J62wT6uMpd77a21txbBhw1BUVBR1u6RkFXEcJ/ub5/mw5yJx9tlnIxBI3JTmcAjxxgUFBbr+wwEgPz9ft306nU7dj88q+wTSbyytMI6ANb63FcbSKt87Gfs0+zlppX2afSyTdS2K83jE1/X8sOLiYjidzjDrSmNjY5gVJt1ZvHhx2u5Tb6zwva0wjoA1vrcVxtIq35vG0tz71BsrXN9a4IKxKom9mePwyiuv4Nvf/rb03MyZM1FZWYmVK1dKz1VUVODyyy+XgnOTSVtbGwoKCtDa2qqbEkzGPtMVGkt9oHHUDxpLfaBx1I90HUut3ztuV1FHRwf27dsn/X3w4EHU1NSgqKgIw4YNw5IlS7Bw4UJMnz4dZ555Jp566inU1tbipptuSuybxInb7cZ9990ni3sx4z7TFRpLfaBx1A8aS32gcdSPdB1Lrd87bovLhg0bMG/evLDnr7vuOqxatQqAUIDu0UcfRX19PSZOnIjf/e53mDNnTjwfQxAEQRAEEUafXEUEQRAEQRCpxHTdoQmCIAiCICJBwoUgCIIgCMtAwoUgCIIgCMuQFsJl6dKlmDFjBvLy8lBSUoJvf/vb2LNnj2wbnudx//33o6ysDNnZ2Zg7dy527Ngh2+app57C3LlzkZ+fD47j0NLSovp5b775JmbOnIns7GwUFxdjwYIFyfpqKSdVY7lhwwZwHKf6o3fFSyNI5Tn59ddf4/LLL0dxcTHy8/Nx1lln4f3330/m10spqRzLzz//HOeffz4KCwsxYMAA/OhHP0JHR0cyv15K0WMsT5w4gVtvvRXjxo1DTk4Ohg0bhttuuw2tra2y/Zw8eRILFy5EQUEBCgoKsHDhwoj3VCuSyrH89a9/jVmzZiEnJweFhYWp+HqGkhbC5YMPPsDixYvxySefYP369fD5fKiqqkJnZ6e0zaOPPoply5bhiSeewJYtWzBo0CCcf/75aG9vl7bp6urChRdeiF/84hcRP+vf//43Fi5ciBtuuAFffPEFPvroI1x99dVJ/X6pJFVjOWvWLNTX18t+brzxRowYMQLTp09P+vdMNqk8Jy+++GL4fD6899572LZtG6ZOnYpLLrlEcxsOs5Oqsayrq8N5552HMWPG4NNPP8Vbb72FHTt24Prrr0/2V0wZeoxlXV0d6urq8Pjjj2P79u1YtWoV3nrrLSxatEj2WVdffTVqamrw1ltv4a233kJNTQ0WLlyY0u+bTFI5ll6vF1deeSV+8pOfpPQ7GoamToY2o7GxkQfAf/DBBzzPC40dBw0axD/yyCPSNj09PXxBQQH/xz/+Mez977//Pg+AP3nypOz53t5efsiQIfzTTz+d1OM3E8kaSyVer5cvKSnhH3zwQV2P3ywkaxyPHz/OA+A3btwoPdfW1sYD4N95553kfBmDSdZY/ulPf+JLSkp4v98vPVddXc0D4Pfu3ZucL2MwfR1LkX/+8598ZmYm39vby/M8z+/cuZMHwH/yySfSNh9//DEPgN+9e3eSvo2xJGssWZ599lm+oKBA92M3G2lhcVEimtnERk4HDx5EQ0MDqqqqpG3cbjfOOeccbN68WfN+P//8cxw9ehQOhwPTpk3D4MGDMX/+/DCTtJ1I1lgqee2119DU1GSr1S1LssZxwIABGD9+PJ5//nl0dnbC5/PhT3/6E0pLS1FZWanvlzAJyRpLj8eDzMxMWR+V7OxsAMCHH36ox6GbDr3GUqyE6nIJNU8//vhjFBQUYObMmdI2Z5xxBgoKCvp0nzAzyRrLdCTthAvP81iyZAnOPvtsTJw4EQAkk3lfuloDwIEDBwAA999/P375y1/ijTfeQP/+/XHOOefgxIkTOn0D85DMsVTyl7/8BRdccAHKy8sTP2CTksxx5DgO69evR3V1NfLy8pCVlYXf/e53eOutt2zpC0/mWJ577rloaGjAY489Bq/Xi5MnT0pupfr6ep2+gXnQayybm5vx0EMP4cc//rH0XENDA0pKSsK2LSkpsY0LkyWZY5mOpJ1wueWWW/Dll1/iH//4R9hrfelqDUDqan3PPffgO9/5DiorK/Hss8+C4zi89NJLfTtwE5LMsWQ5cuQI1q1bF+bXtQvJHEee53HzzTejpKQEmzZtwmeffYbLL78cl1xyiS0n22SO5YQJE/Dcc8/ht7/9LXJycjBo0CCMGjUKpaWlcDqdfT52s6HHWLa1teHiiy9GRUUF7rvvvqj7iLYfq5PssUw30kq43HrrrXjttdfw/vvvY+jQodLzgwYNAoA+d7UePHgwAKGppIjb7caoUaNQW1vbl0M3HckeS5Znn30WAwYMwGWXXZb4AZuUZI/je++9hzfeeAMvvvgizjrrLJx22mlYuXIlsrOz8dxzz+nzJUxCKs7Jq6++Gg0NDTh69Ciam5tx//334/jx4xg5cmTfv4CJ0GMs29vbceGFFyI3NxevvPIKMjIyZPs5duxY2OceP3484fuEWUn2WKYjaSFceJ7HLbfcgpdffhnvvfde2E1m5MiRGDRoENavXy895/V68cEHH2DWrFmaP6eyshJut1uW8tbb24tDhw5h+PDhff8iJiBVY8l+3rPPPotrr73WVhdrqsaxq6sLAGRxGeLfooXQ6qT6nAQEc35ubi5Wr16NrKwsnH/++X36DmZBr7Fsa2tDVVUVMjMz8dprryErK0u2nzPPPBOtra347LPPpOc+/fRTtLa2Jvw/MRupGsu0JKWhwAbxk5/8hC8oKOA3bNjA19fXSz9dXV3SNo888ghfUFDAv/zyy/z27dv5H/zgB/zgwYP5trY2aZv6+nq+urqa//Of/yxlalRXV/PNzc3SNrfffjs/ZMgQft26dfzu3bv5RYsW8SUlJfyJEydS+p2TRSrHkud5/p133uEB8Dt37kzZd0wFqRrH48eP8wMGDOAXLFjA19TU8Hv27OF/+tOf8hkZGXxNTU3Kv3cySOU5+Yc//IHftm0bv2fPHv6JJ57gs7Oz+d///vcp/b7JRI+xbGtr42fOnMlPmjSJ37dvn2w/Pp9P2s+FF17IT548mf/444/5jz/+mJ80aRJ/ySWXpPw7J4tUjuU333zDV1dX8w888ACfm5vLV1dX89XV1Xx7e3vKv3cqSAvhAkD159lnn5W2CQQC/H333ccPGjSId7vd/Jw5c/jt27fL9nPffffF3I/X6+X/+7//my8pKeHz8vL48847j//qq69S9E2TTyrHkud5/gc/+AE/a9asFHyz1JLKcdyyZQtfVVXFFxUV8Xl5efwZZ5zBr127NkXfNPmkciwXLlzIFxUV8ZmZmfzkyZP5559/PkXfMjXoMZZiOrnaz8GDB6Xtmpub+f/6r//i8/Ly+Ly8PP6//uu/YpZFsBKpHMvrrrtOdZv3338/dV84hVB3aIIgCIIgLENaxLgQBEEQBGEPSLgQBEEQBGEZSLgQBEEQBGEZSLgQBEEQBGEZSLgQBEEQBGEZSLgQBEEQBGEZSLgQBEEQBGEZSLgQBEEQBGEZSLgQBKEbc+fOxR133JF2n00QROog4UIQhCFs2LABHMehpaVFl/e9/PLLeOihh/Q7QIIgTInL6AMgCILQg6KiIqMPgSCIFEAWF4IgEqKzsxPXXnstcnNzMXjwYPz2t7+Vvf7Xv/4V06dPR15eHgYNGoSrr74ajY2NAIBDhw5h3rx5AID+/fuD4zhcf/31AACe5/Hoo49i1KhRyM7OxpQpU/Cvf/0r5vuUrqIRI0bg4Ycflo5x+PDhePXVV3H8+HFcfvnlyM3NxaRJk7B161bZcW/evBlz5sxBdnY2ysvLcdttt6Gzs1Pv4SMIIkFIuBAEkRA/+9nP8P777+OVV17B22+/jQ0bNmDbtm3S616vFw899BC++OILrFmzBgcPHpRERnl5Of79738DAPbs2YP6+nr8/ve/BwD88pe/xLPPPosnn3wSO3bswJ133olrrrkGH3zwQdT3qfG73/0OZ511Fqqrq3HxxRdj4cKFuPbaa3HNNdfg888/x5gxY3DttddC7DW7fft2XHDBBViwYAG+/PJLrF69Gh9++CFuueWWZAwhQRCJYGxzaoIgrEh7ezufmZnJv/jii9Jzzc3NfHZ2Nn/77bervuezzz7jAfDt7e08z/P8+++/zwPgT548KW3T0dHBZ2Vl8Zs3b5a9d9GiRfwPfvCDiO/jeZ4/55xzZJ89fPhw/pprrpH+rq+v5wHwv/rVr6TnPv74Yx4AX19fz/M8zy9cuJD/0Y9+JNvvpk2beIfDwXd3d0cfFIIgUgLFuBAEETf79++H1+vFmWeeKT1XVFSEcePGSX9XV1fj/vvvR01NDU6cOIFAIAAAqK2tRUVFhep+d+7ciZ6eHpx//vmy571eL6ZNmxb3cU6ePFl6XFpaCgCYNGlS2HONjY0YNGgQtm3bhn379uFvf/ubtA3P8wgEAjh48CDGjx8f9zEQBKEvJFwIgogbPuhaiURnZyeqqqpQVVWFv/71rxg4cCBqa2txwQUXwOv1RnyfKG7efPNNDBkyRPaa2+2O+zgzMjKkxxzHRXxO/NxAIIAf//jHuO2228L2NWzYsLg/nyAI/SHhQhBE3IwZMwYZGRn45JNPpAn95MmT+Prrr3HOOedg9+7daGpqwiOPPILy8nIACAuCzczMBAD4/X7puYqKCrjdbtTW1uKcc85R/Wy19+nFaaedhh07dmDMmDG675sgCH2g4FyCIOImNzcXixYtws9+9jO8++67+Oqrr3D99dfD4RBuKcOGDUNmZib+8Ic/4MCBA3jttdfCaqwMHz4cHMfhjTfewPHjx9HR0YG8vDz89Kc/xZ133onnnnsO+/fvR3V1NVasWIHnnnsu4vv04n/+53/w8ccfY/HixaipqcHevXvx2muv4dZbb9XtMwiC6BskXAiCSIjHHnsMc+bMwWWXXYbzzjsPZ599NiorKwEAAwcOxKpVq/DSSy+hoqICjzzyCB5//HHZ+4cMGYIHHngAP//5z1FaWipl7jz00EO49957sXTpUowfPx4XXHABXn/9dYwcOTLq+/Rg8uTJ+OCDD7B3717Mnj0b06ZNw69+9SsMHjxYt88gCKJvcHwsZzVBEARBEIRJIIsLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCWgYQLQRAEQRCW4f8DkfeWjI1GTvcAAAAASUVORK5CYII=",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# now let's plot up discharge from 2018 - 2020\n",
"dfplt = df2[(df2[\"year\"] >= 2015) & (df2[\"year\"] <= 2020)]\n",
"ax = dfplt[[\"russian_r_af\",\"austin_c_af\"]].plot()\n",
"ax.set_yscale(\"log\")"
]
},
{
"cell_type": "markdown",
"id": "28e18569",
"metadata": {},
"source": [
"### groupby: grouping data and performing mathematical operations on it\n",
"\n",
"`groupby()` is a powerful method that allows for performing statistical operations over a groups of \"common\" data within a dataframe. \n",
"\n",
"For this example we'll use it to get mean daily flows for the watershed. Pandas will group all common days of the year with each other and then calculate the mean value of these via the function `.mean()`. `groupby()` also supports other operations such as `.median()`, `.sum()`, `max()`, `min()`, `std()`, and other functions. "
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "61938c67",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df2[\"day_of_year\"] = df2.index.day_of_year\n",
"\n",
"df_mean_day = df2.groupby(by=[\"day_of_year\"], as_index=False)[[\"russian_r_af\", \"austin_c_af\"]].mean()\n",
"ax = df_mean_day[[\"russian_r_af\", \"austin_c_af\"]].plot()\n",
"ax.set_yscale(\"log\")"
]
},
{
"cell_type": "markdown",
"id": "c0b36148",
"metadata": {},
"source": [
"We can see that around March flow starts decreasing heavily and doesn't recover until sometime in october. What's going on here? Let's load some climate data and see what's happening."
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "bcc86071",
"metadata": {},
"outputs": [
{
"data": {
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Stn Id
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Stn Name
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CIMIS Region
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Date
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Jul
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ETo (in)
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Precip (in)
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Sol Rad (Ly/day)
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Avg Vap Pres (mBars)
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Max Air Temp (F)
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...
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Rose NNE
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Rose ENE
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Rose ESE
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Rose SSE
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Rose SSW
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Rose WSW
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Rose WNW
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Rose NNW
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Wind Run (miles)
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Avg Soil Temp (F)
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" \n",
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0
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83
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Santa Rosa
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North Coast Valleys
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1/1/1990
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1
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0.00
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0.30
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42.0
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7.7
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48.7
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...
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0.03
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0.02
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0.06
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0.06
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0.04
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0.10
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0.15
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0.14
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32.1
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46.3
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\n",
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1
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83
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Santa Rosa
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North Coast Valleys
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1/2/1990
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2
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0.06
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0.00
\n",
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236.0
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6.1
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58.4
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...
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0.06
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0.01
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0.04
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0.03
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0.03
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0.06
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0.45
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1.53
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121.0
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44.9
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2
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83
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Santa Rosa
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North Coast Valleys
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1/3/1990
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3
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0.04
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0.00
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225.0
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5.8
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63.0
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...
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0.08
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0.04
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0.10
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0.04
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0.06
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0.05
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0.21
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0.23
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44.5
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43.3
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3
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83
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Santa Rosa
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North Coast Valleys
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1/4/1990
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4
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"
0.03
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0.01
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"
190.0
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"
6.3
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"
56.7
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"
...
\n",
"
0.07
\n",
"
0.07
\n",
"
0.11
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"
0.07
\n",
"
0.03
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0.03
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"
0.08
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"
0.09
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"
30.2
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"
42.8
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"
\n",
"
\n",
"
4
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"
83
\n",
"
Santa Rosa
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"
North Coast Valleys
\n",
"
1/5/1990
\n",
"
5
\n",
"
0.04
\n",
"
0.00
\n",
"
192.0
\n",
"
7.2
\n",
"
59.1
\n",
"
...
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"
0.08
\n",
"
0.13
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0.33
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"
0.08
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"
0.04
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"
0.08
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"
0.07
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"
0.05
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"
45.2
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43.7
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"
\n",
"
\n",
"
...
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"
...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
\n",
"
\n",
"
\n",
"
11948
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"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
9/18/2022
\n",
"
261
\n",
"
0.03
\n",
"
0.77
\n",
"
113.0
\n",
"
16.4
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"
66.8
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"
...
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"
0.01
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"
0.04
\n",
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0.29
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0.51
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0.14
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0.01
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0.00
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0.00
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197.4
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65.2
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"
\n",
"
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"
11949
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"
83
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"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
9/19/2022
\n",
"
262
\n",
"
0.14
\n",
"
0.02
\n",
"
424.0
\n",
"
15.6
\n",
"
73.9
\n",
"
...
\n",
"
0.09
\n",
"
0.07
\n",
"
0.08
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"
0.17
\n",
"
0.09
\n",
"
0.28
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"
0.15
\n",
"
0.07
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"
108.9
\n",
"
65.9
\n",
"
\n",
"
\n",
"
11950
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
9/20/2022
\n",
"
263
\n",
"
0.10
\n",
"
0.00
\n",
"
330.0
\n",
"
13.9
\n",
"
72.6
\n",
"
...
\n",
"
0.08
\n",
"
0.04
\n",
"
0.10
\n",
"
0.11
\n",
"
0.18
\n",
"
0.25
\n",
"
0.15
\n",
"
0.10
\n",
"
79.6
\n",
"
65.8
\n",
"
\n",
"
\n",
"
11951
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
9/21/2022
\n",
"
264
\n",
"
0.15
\n",
"
0.07
\n",
"
458.0
\n",
"
14.8
\n",
"
75.5
\n",
"
...
\n",
"
0.09
\n",
"
0.05
\n",
"
0.13
\n",
"
0.16
\n",
"
0.18
\n",
"
0.22
\n",
"
0.08
\n",
"
0.09
\n",
"
103.3
\n",
"
66.7
\n",
"
\n",
"
\n",
"
11952
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
9/22/2022
\n",
"
265
\n",
"
0.17
\n",
"
0.00
\n",
"
494.0
\n",
"
13.1
\n",
"
82.9
\n",
"
...
\n",
"
0.14
\n",
"
0.06
\n",
"
0.09
\n",
"
0.10
\n",
"
0.11
\n",
"
0.20
\n",
"
0.12
\n",
"
0.19
\n",
"
83.7
\n",
"
66.3
\n",
"
\n",
" \n",
"
\n",
"
11953 rows × 27 columns
\n",
"
"
],
"text/plain": [
" Stn Id Stn Name CIMIS Region Date Jul ETo (in) \\\n",
"0 83 Santa Rosa North Coast Valleys 1/1/1990 1 0.00 \n",
"1 83 Santa Rosa North Coast Valleys 1/2/1990 2 0.06 \n",
"2 83 Santa Rosa North Coast Valleys 1/3/1990 3 0.04 \n",
"3 83 Santa Rosa North Coast Valleys 1/4/1990 4 0.03 \n",
"4 83 Santa Rosa North Coast Valleys 1/5/1990 5 0.04 \n",
"... ... ... ... ... ... ... \n",
"11948 83 Santa Rosa North Coast Valleys 9/18/2022 261 0.03 \n",
"11949 83 Santa Rosa North Coast Valleys 9/19/2022 262 0.14 \n",
"11950 83 Santa Rosa North Coast Valleys 9/20/2022 263 0.10 \n",
"11951 83 Santa Rosa North Coast Valleys 9/21/2022 264 0.15 \n",
"11952 83 Santa Rosa North Coast Valleys 9/22/2022 265 0.17 \n",
"\n",
" Precip (in) Sol Rad (Ly/day) Avg Vap Pres (mBars) Max Air Temp (F) \\\n",
"0 0.30 42.0 7.7 48.7 \n",
"1 0.00 236.0 6.1 58.4 \n",
"2 0.00 225.0 5.8 63.0 \n",
"3 0.01 190.0 6.3 56.7 \n",
"4 0.00 192.0 7.2 59.1 \n",
"... ... ... ... ... \n",
"11948 0.77 113.0 16.4 66.8 \n",
"11949 0.02 424.0 15.6 73.9 \n",
"11950 0.00 330.0 13.9 72.6 \n",
"11951 0.07 458.0 14.8 75.5 \n",
"11952 0.00 494.0 13.1 82.9 \n",
"\n",
" ... Rose NNE Rose ENE Rose ESE Rose SSE Rose SSW Rose WSW \\\n",
"0 ... 0.03 0.02 0.06 0.06 0.04 0.10 \n",
"1 ... 0.06 0.01 0.04 0.03 0.03 0.06 \n",
"2 ... 0.08 0.04 0.10 0.04 0.06 0.05 \n",
"3 ... 0.07 0.07 0.11 0.07 0.03 0.03 \n",
"4 ... 0.08 0.13 0.33 0.08 0.04 0.08 \n",
"... ... ... ... ... ... ... ... \n",
"11948 ... 0.01 0.04 0.29 0.51 0.14 0.01 \n",
"11949 ... 0.09 0.07 0.08 0.17 0.09 0.28 \n",
"11950 ... 0.08 0.04 0.10 0.11 0.18 0.25 \n",
"11951 ... 0.09 0.05 0.13 0.16 0.18 0.22 \n",
"11952 ... 0.14 0.06 0.09 0.10 0.11 0.20 \n",
"\n",
" Rose WNW Rose NNW Wind Run (miles) Avg Soil Temp (F) \n",
"0 0.15 0.14 32.1 46.3 \n",
"1 0.45 1.53 121.0 44.9 \n",
"2 0.21 0.23 44.5 43.3 \n",
"3 0.08 0.09 30.2 42.8 \n",
"4 0.07 0.05 45.2 43.7 \n",
"... ... ... ... ... \n",
"11948 0.00 0.00 197.4 65.2 \n",
"11949 0.15 0.07 108.9 65.9 \n",
"11950 0.15 0.10 79.6 65.8 \n",
"11951 0.08 0.09 103.3 66.7 \n",
"11952 0.12 0.19 83.7 66.3 \n",
"\n",
"[11953 rows x 27 columns]"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cimis_file = data_path / \"santa_rosa_CIMIS_83.csv\"\n",
"df_cimis = pd.read_csv(cimis_file)\n",
"drop_list = [\"qc\"] + [f\"qc.{i}\" for i in range(1, 22)]\n",
"df_cimis.drop(columns=drop_list, inplace=True)\n",
"df_cimis"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "072f50f4",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
day_of_year
\n",
"
ETo (in)
\n",
"
Precip (in)
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
1
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0.031212
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0.030303
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"text/plain": [
" day_of_year ETo (in) Precip (in)\n",
"0 1 0.031212 0.335455\n",
"1 2 0.031212 0.155152\n",
"2 3 0.030303 0.195484\n",
"3 4 0.030909 0.190303\n",
"4 5 0.034242 0.150000"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_mean_clim = df_cimis.groupby(by=[\"Jul\"], as_index=False)[[\"ETo (in)\", \"Precip (in)\"]].mean()\n",
"df_mean_clim = df_mean_clim.rename(columns={\"Jul\": \"day_of_year\"})\n",
"df_mean_clim.head()"
]
},
{
"cell_type": "markdown",
"id": "bb5edf3c",
"metadata": {},
"source": [
"### Joining two `DataFrames` with an inner join\n",
"\n",
"Inner joins can be made in pandas with the `merge()` method. As inner join, joins two dataframes on a common key or values, when a key or value exists in one dataframe, but not the other that row of data will be excluded from the joined dataframe. \n",
"\n",
"There are a number of other ways to join dataframes in pandas. Detailed examples and discussion of the different merging methods can be found [here](https://realpython.com/pandas-merge-join-and-concat/)"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "d2b055b6",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cols = [i for i in list(df_merged) if i != \"day_of_year\"]\n",
"ax = df_merged[cols].plot()\n",
"ax.set_yscale(\"log\")"
]
},
{
"cell_type": "markdown",
"id": "3ed8ec21",
"metadata": {},
"source": [
"This starts to make a little more sense! We can see that this area gets most of it's precipitation in the winter and early spring. The evapotranspiration curve shows what we'd expect: that there is more evapotranspiration in the summer than the winter. "
]
},
{
"cell_type": "markdown",
"id": "0b486148",
"metadata": {},
"source": [
"Is there anything else we can look at that might give us more insights into this basin? Let's try looking at long term, yearly trends to see what's there."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "e62109ef",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
"
\n",
"
\n",
"
Stn Id
\n",
"
Stn Name
\n",
"
CIMIS Region
\n",
"
Date
\n",
"
Jul
\n",
"
ETo (in)
\n",
"
Precip (in)
\n",
"
Sol Rad (Ly/day)
\n",
"
Avg Vap Pres (mBars)
\n",
"
Max Air Temp (F)
\n",
"
...
\n",
"
Rose ENE
\n",
"
Rose ESE
\n",
"
Rose SSE
\n",
"
Rose SSW
\n",
"
Rose WSW
\n",
"
Rose WNW
\n",
"
Rose NNW
\n",
"
Wind Run (miles)
\n",
"
Avg Soil Temp (F)
\n",
"
year
\n",
"
\n",
" \n",
" \n",
"
\n",
"
0
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
1/1/1990
\n",
"
1
\n",
"
0.00
\n",
"
0.30
\n",
"
42.0
\n",
"
7.7
\n",
"
48.7
\n",
"
...
\n",
"
0.02
\n",
"
0.06
\n",
"
0.06
\n",
"
0.04
\n",
"
0.10
\n",
"
0.15
\n",
"
0.14
\n",
"
32.1
\n",
"
46.3
\n",
"
1989
\n",
"
\n",
"
\n",
"
1
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
1/2/1990
\n",
"
2
\n",
"
0.06
\n",
"
0.00
\n",
"
236.0
\n",
"
6.1
\n",
"
58.4
\n",
"
...
\n",
"
0.01
\n",
"
0.04
\n",
"
0.03
\n",
"
0.03
\n",
"
0.06
\n",
"
0.45
\n",
"
1.53
\n",
"
121.0
\n",
"
44.9
\n",
"
1989
\n",
"
\n",
"
\n",
"
2
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
1/3/1990
\n",
"
3
\n",
"
0.04
\n",
"
0.00
\n",
"
225.0
\n",
"
5.8
\n",
"
63.0
\n",
"
...
\n",
"
0.04
\n",
"
0.10
\n",
"
0.04
\n",
"
0.06
\n",
"
0.05
\n",
"
0.21
\n",
"
0.23
\n",
"
44.5
\n",
"
43.3
\n",
"
1989
\n",
"
\n",
"
\n",
"
3
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
1/4/1990
\n",
"
4
\n",
"
0.03
\n",
"
0.01
\n",
"
190.0
\n",
"
6.3
\n",
"
56.7
\n",
"
...
\n",
"
0.07
\n",
"
0.11
\n",
"
0.07
\n",
"
0.03
\n",
"
0.03
\n",
"
0.08
\n",
"
0.09
\n",
"
30.2
\n",
"
42.8
\n",
"
1989
\n",
"
\n",
"
\n",
"
4
\n",
"
83
\n",
"
Santa Rosa
\n",
"
North Coast Valleys
\n",
"
1/5/1990
\n",
"
5
\n",
"
0.04
\n",
"
0.00
\n",
"
192.0
\n",
"
7.2
\n",
"
59.1
\n",
"
...
\n",
"
0.13
\n",
"
0.33
\n",
"
0.08
\n",
"
0.04
\n",
"
0.08
\n",
"
0.07
\n",
"
0.05
\n",
"
45.2
\n",
"
43.7
\n",
"
1989
\n",
"
\n",
" \n",
"
\n",
"
5 rows × 28 columns
\n",
"
"
],
"text/plain": [
" Stn Id Stn Name CIMIS Region Date Jul ETo (in) \\\n",
"0 83 Santa Rosa North Coast Valleys 1/1/1990 1 0.00 \n",
"1 83 Santa Rosa North Coast Valleys 1/2/1990 2 0.06 \n",
"2 83 Santa Rosa North Coast Valleys 1/3/1990 3 0.04 \n",
"3 83 Santa Rosa North Coast Valleys 1/4/1990 4 0.03 \n",
"4 83 Santa Rosa North Coast Valleys 1/5/1990 5 0.04 \n",
"\n",
" Precip (in) Sol Rad (Ly/day) Avg Vap Pres (mBars) Max Air Temp (F) ... \\\n",
"0 0.30 42.0 7.7 48.7 ... \n",
"1 0.00 236.0 6.1 58.4 ... \n",
"2 0.00 225.0 5.8 63.0 ... \n",
"3 0.01 190.0 6.3 56.7 ... \n",
"4 0.00 192.0 7.2 59.1 ... \n",
"\n",
" Rose ENE Rose ESE Rose SSE Rose SSW Rose WSW Rose WNW Rose NNW \\\n",
"0 0.02 0.06 0.06 0.04 0.10 0.15 0.14 \n",
"1 0.01 0.04 0.03 0.03 0.06 0.45 1.53 \n",
"2 0.04 0.10 0.04 0.06 0.05 0.21 0.23 \n",
"3 0.07 0.11 0.07 0.03 0.03 0.08 0.09 \n",
"4 0.13 0.33 0.08 0.04 0.08 0.07 0.05 \n",
"\n",
" Wind Run (miles) Avg Soil Temp (F) year \n",
"0 32.1 46.3 1989 \n",
"1 121.0 44.9 1989 \n",
"2 44.5 43.3 1989 \n",
"3 30.2 42.8 1989 \n",
"4 45.2 43.7 1989 \n",
"\n",
"[5 rows x 28 columns]"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"year = []\n",
"for dstr in df_cimis.Date.values:\n",
" mo, d, yr = [int(i) for i in dstr.split(\"/\")]\n",
" if mo < 10:\n",
" year.append(yr - 1)\n",
" else:\n",
" year.append(yr)\n",
"df_cimis[\"year\"] = year\n",
"df_cimis.head()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "826df4a9",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
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"\n",
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" \n",
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site_no
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russian_r
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"
austin_c
\n",
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year
\n",
"
russian_r_cfd
\n",
"
russian_r_af
\n",
"
austin_c_cfd
\n",
"
austin_c_af
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day_of_year
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"
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datetime
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1939-10-01 00:00:00+00:00
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185.0
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NaN
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1939
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15984000.0
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366.942991
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NaN
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274
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1939-10-02 00:00:00+00:00
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185.0
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276
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1939-10-04 00:00:00+00:00
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185.0
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1939
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366.942991
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277
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"
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1939-10-05 00:00:00+00:00
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185.0
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1939
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15984000.0
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366.942991
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NaN
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278
\n",
"
\n",
" \n",
"
\n",
"
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],
"text/plain": [
"site_no russian_r austin_c year russian_r_cfd \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 185.0 NaN 1939 15984000.0 \n",
"1939-10-02 00:00:00+00:00 185.0 NaN 1939 15984000.0 \n",
"1939-10-03 00:00:00+00:00 185.0 NaN 1939 15984000.0 \n",
"1939-10-04 00:00:00+00:00 185.0 NaN 1939 15984000.0 \n",
"1939-10-05 00:00:00+00:00 185.0 NaN 1939 15984000.0 \n",
"\n",
"site_no russian_r_af austin_c_cfd austin_c_af \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-02 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-03 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-04 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-05 00:00:00+00:00 366.942991 NaN NaN \n",
"\n",
"site_no day_of_year \n",
"datetime \n",
"1939-10-01 00:00:00+00:00 274 \n",
"1939-10-02 00:00:00+00:00 275 \n",
"1939-10-03 00:00:00+00:00 276 \n",
"1939-10-04 00:00:00+00:00 277 \n",
"1939-10-05 00:00:00+00:00 278 "
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df2.head()"
]
},
{
"cell_type": "markdown",
"id": "49a97ec7",
"metadata": {},
"source": [
"### `.aggregate()`\n",
"\n",
"The pandas `.aggregate()` can be used with `.groupy()` to perform multiple statistical operations.\n",
"\n",
"Example usage could be:\n",
"\n",
"```python\n",
" \n",
" agdf = df2.groupby(by=[\"day_of_year\"], as_index=False)[\"austin_c_af\"].aggregate([np.min, np.max, np.mean, np.std])\n",
"```\n",
"\n",
"And would return a dataframe grouped by the day of year and take the min, max, mean, and standard deviation of these data."
]
},
{
"cell_type": "markdown",
"id": "ffd30f76",
"metadata": {},
"source": [
"## Class exercise 3: groupy, aggregate, and merge\n",
"\n",
"For this exercise we need to produce yearly mean and standard deviation flows for the `russian_r_af` variable and merge the data with yearly mean precipitation and evapotranspiration \n",
"\n",
"**Hints:** \n",
" - `df2` and `df_cimis` are the dataframes these operations should be performed on \n",
" - use `.groupby()` to group by the year and do `precip` and `ETo` in separate groupby routines\n",
" - rename the columns in the ETo aggregated dataframe and the Precip dataframe to `mean_et`, `std_et`, `mean_precip`, `std_precip`\n",
" - `np.mean` and `np.std` can be used to calculate mean and std flows \n",
" \n",
"Name your final joined dataframe `df_yearly`"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "3e0ac248",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df_y_flow = df2.groupby(by=[\"year\"], as_index=False)[\"russian_r_af\"].aggregate(['mean', 'std'])\n",
"\n",
"fig = plt.figure(figsize=(12,4))\n",
"\n",
"lower_ci = df_y_flow[\"mean\"] - 2 * df_y_flow['std']\n",
"lower_ci = np.where(lower_ci < 0, 0, lower_ci)\n",
"upper_ci = df_y_flow[\"mean\"] + 2 * df_y_flow['std']\n",
"ax = df_y_flow[\"mean\"].plot(style=\"b.-\")\n",
"ax.fill_between(df_y_flow.index, lower_ci, upper_ci, color=\"b\", alpha=0.5);"
]
},
{
"cell_type": "markdown",
"id": "0f91c518",
"metadata": {},
"source": [
"From this plot it looks like the long term trend in yearly discharge in the Russian River has been decreasing. We will revisit and test this later. \n",
"\n",
"First let's see if there are any relationships between yearly discharge and climate"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "06406208",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"dfg0 = df2.groupby(by=[\"year\"], as_index=False)[\"russian_r_af\"].aggregate(['mean', 'std', 'sum'])\n",
"dfg1 = df_cimis.groupby(by=[\"year\"], as_index=False)[\"ETo (in)\"].aggregate(['mean', 'std', 'sum'])\n",
"dfg2 = df_cimis.groupby(by=[\"year\"], as_index=False)[\"Precip (in)\"].aggregate(['mean', 'std', 'sum'])\n",
"dfm1 = pd.merge(dfg0, dfg1, on=[\"year\"], suffixes=(None, \"_et\"))\n",
"df_yearly = pd.merge(dfm1, dfg2, on=[\"year\"], suffixes=(None, \"_precip\"))\n",
"\n",
"fig = plt.figure(figsize=(12,4))\n",
"\n",
"lower_ci = df_yearly[\"mean\"] - 2 * df_yearly['std']\n",
"lower_ci = np.where(lower_ci < 0, 0, lower_ci)\n",
"upper_ci = df_yearly[\"mean\"] + 2 * df_yearly['std']\n",
"ax = df_yearly[\"mean\"].plot(style=\"b.-\", label=\"flow_af\")\n",
"ax.fill_between(df_yearly.index, lower_ci, upper_ci, color=\"b\", alpha=0.5)\n",
"ax2 = ax.twinx()\n",
"ax2.plot(df_yearly.index, df_yearly.sum_precip, \"k--\", lw=1.5, label=\"Precip\")\n",
"ax2.plot(df_yearly.index, df_yearly.sum_et, \"r.--\", lw=1.5, label=\"ET\")\n",
"plt.legend()\n",
"plt.show();"
]
},
{
"cell_type": "markdown",
"id": "7a0f73bb",
"metadata": {},
"source": [
"As expected, precipitation amount is the main driver of the yearly discharge regime here"
]
},
{
"cell_type": "markdown",
"id": "5834f46d",
"metadata": {},
"source": [
"### Baseflow separation\n",
"\n",
"Baseflow separation is a method to separate the quick response hydrograph (storm runoff) from the long term flow. We're going to go back to the complete daily dataset to perform this operation. The following cell contains a low pass filtration method that is used for digital baseflow separation. We'll use these in our analysis"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "21356a99",
"metadata": {},
"outputs": [],
"source": [
"def _baseflow_low_pass_filter(arr, beta, enforce):\n",
" \"\"\"\n",
" Private method to apply digital baseflow separation filter\n",
" (Lyne & Hollick, 1979; Nathan & Mcmahon, 1990;\n",
" Boughton, 1993; Chapman & Maxwell, 1996).\n",
"\n",
" This method should not be called by the user!\n",
"\n",
" Method removes \"spikes\" which would be consistent with storm flow\n",
" events from data.\n",
"\n",
" Parameters\n",
" ----------\n",
" arr : np.array\n",
" streamflow or municipal pumping time series\n",
"\n",
" beta : float\n",
" baseflow filtering parameter that ranges from 0 - 1\n",
" values in 0.8 - 0.95 range used in literature for\n",
" streamflow baseflow separation\n",
"\n",
" enforce : bool\n",
" enforce physical constraint of baseflow less than measured flow\n",
"\n",
" Returns\n",
" -------\n",
" np.array of filtered data\n",
" \"\"\"\n",
" # prepend 10 records to data for initial spin up\n",
" # these records will be dropped before returning data to user\n",
" qt = np.zeros((arr.size + 10,), dtype=float)\n",
" qt[0:10] = arr[0:10]\n",
" qt[10:] = arr[:]\n",
"\n",
" qdt = np.zeros((arr.size + 10,), dtype=float)\n",
" qbf = np.zeros((arr.size + 10,), dtype=float)\n",
"\n",
" y = (1. + beta) / 2.\n",
"\n",
" for ix in range(qdt.size):\n",
" if ix == 0:\n",
" qbf[ix] = qt[ix]\n",
" continue\n",
"\n",
" x = beta * qdt[ix - 1]\n",
" z = qt[ix] - qt[ix - 1]\n",
" qdt[ix] = x + (y * z)\n",
"\n",
" qb = qt[ix] - qdt[ix]\n",
" if enforce:\n",
" if qb > qt[ix]:\n",
" qbf[ix] = qt[ix]\n",
" else:\n",
" qbf[ix] = qb\n",
"\n",
" else:\n",
" qbf[ix] = qb\n",
"\n",
" return qbf[10:]\n",
"\n",
"\n",
"def baseflow_low_pass_filter(arr, beta=0.9, T=1, enforce=True):\n",
" \"\"\"\n",
" User method to apply digital baseflow separation filter\n",
" (Lyne & Hollick, 1979; Nathan & Mcmahon, 1990;\n",
" Boughton, 1993; Chapman & Maxwell, 1996).\n",
"\n",
" Method removes \"spikes\" which would be consistent with storm flow\n",
" events from data.\n",
"\n",
" Parameters\n",
" ----------\n",
" arr : np.array\n",
" streamflow or municipal pumping time series\n",
"\n",
" beta : float\n",
" baseflow filtering parameter that ranges from 0 - 1\n",
" values in 0.8 - 0.95 range used in literature for\n",
" streamflow baseflow separation\n",
"\n",
" T : int\n",
" number of recursive filtering passes to apply to the data\n",
"\n",
" enforce : bool\n",
" enforce physical constraint of baseflow less than measured flow\n",
"\n",
" Returns\n",
" -------\n",
" np.array of baseflow\n",
" \"\"\"\n",
" for _ in range(T):\n",
" arr = _baseflow_low_pass_filter(arr, beta, enforce)\n",
"\n",
" return arr\n"
]
},
{
"cell_type": "markdown",
"id": "17636f07",
"metadata": {},
"source": [
"## Class exercise 4: baseflow separation\n",
"\n",
"Using the full dataframe discharge dataframe, `df2`, get the baseflows for the Russian River (in acre-ft) and add these to the dataframe as a new column named `russian_bf_af`.\n",
"\n",
"The function `baseflow_low_pass_filter()` will be used to perform baseflow. This function takes a numpy array of stream discharge and runs a digital low pass filtration method to calculate baseflow. \n",
"\n",
"After performing baseflow separation plot both the baseflow and the total discharge for the years 2015 - 2017.\n",
"\n",
"**Hints:**\n",
" - make sure to use the `.values` property when you get discharge data from the pandas dataframe\n",
" - feel free to play with the input parameters `beta` and `T`. \n",
" - `beta` is commonly between 0.8 - 0.95 for hydrologic problems.\n",
" - `T` is the number of filter passes over the data, therefore increasing `T` will create a smoother profile. I recommend starting with a `T` value of around 5 and adjusting it to see how it changes the baseflow profile."
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "99dee893",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"baseflow = baseflow_low_pass_filter(df2[\"russian_r_af\"].values, beta=0.90, T=5)\n",
"df2[\"russian_bf_af\"] = baseflow\n",
"\n",
"fig = plt.figure(figsize=(15, 10))\n",
"tdf = df2[(df2.year >= 2015) & (df2.year <= 2017)]\n",
"ax = tdf[[\"russian_r_af\", \"russian_bf_af\"]].plot()\n",
"ax.set_yscale(\"log\");"
]
},
{
"cell_type": "markdown",
"id": "fc78258f",
"metadata": {},
"source": [
"## Looking at trends and seasonal cycles in the data with `statsmodels`\n",
"\n",
"`statsmodels` is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. For more information on `statsmodels` and it's many features visit [the getting started guide](https://www.statsmodels.org/dev/gettingstarted.html)\n",
"\n",
"For this example we'll be using time series analysis to perform a seasonal decomposition using moving averages. The `statsmodels` function `seasonal_decompose` will perform this analysis and return the data trend, seasonal fluctuations, and residuals."
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "3be15037",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"
"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(figsize=(8, 8))\n",
"\n",
"ax = df2[\"russian_r_af\"].plot(ax=ax)\n",
"ax.plot(decomposition.trend.index, decomposition.trend, \"r-\", lw=1.5)\n",
"ax.set_yscale('log')\n",
"plt.savefig(\"russian_river.png\")\n"
]
},
{
"cell_type": "markdown",
"id": "3b253563",
"metadata": {},
"source": [
"What's going on at the end of the 1970's? Why is the baseflow trend so low and peak flows are also low? \n",
"\n",
"From [\"California's Most Significant Droughts\"](https://cawaterlibrary.net/wp-content/uploads/2017/05/CalSignficantDroughts_v10_int.pdf), Chapter 3 \n",
"\n",
"The setting for the 1976-77 drought differed significantly from the dry times of the 1920s-30s. Although\n",
"only a two-year event, its hydrology was severe.\n",
"Based on 114 years of computed statewide runoff,\n",
"1977 occupies rank 114 (driest year) and 1976 is in\n",
"rank 104. The drought was notable for the impacts\n",
"experienced by water agencies that were unprepared\n",
"for such conditions. One reason for the lack of\n",
"preparedness was the perception of relatively ample\n",
"water supplies in most areas of the state. "
]
},
{
"cell_type": "markdown",
"id": "ec0d85d6",
"metadata": {},
"source": [
"We can also see the analysis that there is an overall reduction in baseflow from 1940's to the 2020's"
]
},
{
"cell_type": "markdown",
"id": "019341c3",
"metadata": {},
"source": [
"### Writing yearly plots of data to a PDF document\n",
"\n",
"We can write the plots we make with pandas to a multipage pdf using matplotlib's `PdfPages`. For this example we'll make yearly plots of all of the discharge, baseflow, and baseflow trend and bundle them into a single pdf document."
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "a430d0ac",
"metadata": {},
"outputs": [],
"source": [
"# add the decomposition trend to the dataframe to make plotting easy\n",
"df2[\"baseflow_trend\"] = decomposition.trend\n",
"\n",
"pdf_file = data_path / \"all_years_russian.pdf\"\n",
"with PdfPages(pdf_file) as outpdf:\n",
" for year in sorted(df2.year.unique()):\n",
" plt.figure()\n",
" tdf = df2[df2.year == year]\n",
" tdf[[\"russian_r_af\", \"russian_bf_af\", \"baseflow_trend\"]].plot()\n",
" plt.xlabel(\"date\")\n",
" plt.ylabel(\"acre-feet\")\n",
" plt.ylim([1, 300000])\n",
" plt.yscale(\"log\")\n",
" plt.tight_layout()\n",
" outpdf.savefig()\n",
" plt.close('all')"
]
},
{
"cell_type": "markdown",
"id": "f2761901",
"metadata": {},
"source": [
"Go into the \"data/pandas\" and open up the file \"all_years_russian.pdf\" to check out the plots."
]
},
{
"cell_type": "markdown",
"id": "94ffa931",
"metadata": {},
"source": [
"## Back to the basics:\n",
"\n",
"Now that we've done some analysis on real data, let's go back to the basic and briefly discuss how to adjust data values in pandas\n",
"\n",
"\n",
"### Adjusting a whole column of data values\n",
"\n",
"Because pandas series objects (columns) are built off of numpy, we can perform mathematical operations in place on a whole column similarly to numpy arrays\n"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "45e51e85",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"site_no russian_r austin_c year russian_r_cfd \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-02 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-03 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-04 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-05 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"\n",
"site_no russian_r_af austin_c_cfd austin_c_af \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-02 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-03 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-04 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-05 00:00:00+00:00 366.942991 NaN NaN \n",
"\n",
"site_no day_of_year russian_bf_af baseflow_trend \n",
"datetime \n",
"1939-10-01 00:00:00+00:00 274 366.942991 NaN \n",
"1939-10-02 00:00:00+00:00 275 366.942991 NaN \n",
"1939-10-03 00:00:00+00:00 276 366.942991 NaN \n",
"1939-10-04 00:00:00+00:00 277 366.942991 NaN \n",
"1939-10-05 00:00:00+00:00 278 366.942991 NaN "
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3 = df2.copy()\n",
"# Adding values\n",
"df3[\"russian_r\"] += 10000\n",
"\n",
"# Subtracting values\n",
"df3[\"russian_r\"] -= 10000\n",
"\n",
"# multiplication\n",
"df3[\"russian_r\"] *= 5\n",
"\n",
"# division\n",
"df3[\"russian_r\"] /= 5\n",
"\n",
"# more complex operations\n",
"df3[\"russian_r\"] = np.log10(df3[\"russian_r\"].values)\n",
"df3.head()"
]
},
{
"cell_type": "markdown",
"id": "ee819e35",
"metadata": {},
"source": [
"### updating values by position\n",
"\n",
"We can update single or multiple values by their position in the dataframe using `.iloc`"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "ba429e93",
"metadata": {},
"outputs": [
{
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"text/plain": [
"site_no russian_r austin_c year russian_r_cfd \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 2.267172 999.0 1939 15984000.0 \n",
"1939-10-02 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-03 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-04 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-05 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"\n",
"site_no russian_r_af austin_c_cfd austin_c_af \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-02 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-03 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-04 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-05 00:00:00+00:00 366.942991 NaN NaN \n",
"\n",
"site_no day_of_year russian_bf_af baseflow_trend \n",
"datetime \n",
"1939-10-01 00:00:00+00:00 274 366.942991 NaN \n",
"1939-10-02 00:00:00+00:00 275 366.942991 NaN \n",
"1939-10-03 00:00:00+00:00 276 366.942991 NaN \n",
"1939-10-04 00:00:00+00:00 277 366.942991 NaN \n",
"1939-10-05 00:00:00+00:00 278 366.942991 NaN "
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3.iloc[0, 1] = 999\n",
"df3.head()"
]
},
{
"cell_type": "markdown",
"id": "d37f204f",
"metadata": {},
"source": [
"### updating values based on location\n",
"\n",
"We can update values in the dataframe based on their index and column headers too using `.loc`"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "d2df90e4",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"site_no russian_r austin_c year russian_r_cfd \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 226.717173 999.0 1939 15984000.0 \n",
"1939-10-02 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
"1939-10-03 00:00:00+00:00 2.267172 NaN 1939 15984000.0 \n",
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"\n",
"site_no russian_r_af austin_c_cfd austin_c_af \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-02 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-03 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-04 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-05 00:00:00+00:00 366.942991 NaN NaN \n",
"\n",
"site_no day_of_year russian_bf_af baseflow_trend \n",
"datetime \n",
"1939-10-01 00:00:00+00:00 274 366.942991 NaN \n",
"1939-10-02 00:00:00+00:00 275 366.942991 NaN \n",
"1939-10-03 00:00:00+00:00 276 366.942991 NaN \n",
"1939-10-04 00:00:00+00:00 277 366.942991 NaN \n",
"1939-10-05 00:00:00+00:00 278 366.942991 NaN "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3.loc[df3.index[0], 'russian_r'] *= 100\n",
"df3.head()"
]
},
{
"cell_type": "markdown",
"id": "b6ee8610",
"metadata": {},
"source": [
"## Class exercise 5: setting data\n",
"\n",
"The russian river discharge in cubic feet per day highly variable and represented by large numbers. To make this data easier to read and plot, update it to a log10 representation.\n",
"\n",
"Then use either a location based method to change the value in austin_c on 10-4-1939 to 0.\n",
"\n",
"Finally display the first 5 records in the notebook."
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "ff4b6eda",
"metadata": {},
"outputs": [
{
"data": {
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"site_no russian_r austin_c year russian_r_cfd \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 226.717173 999.0 1939 7.203685 \n",
"1939-10-02 00:00:00+00:00 2.267172 NaN 1939 7.203685 \n",
"1939-10-03 00:00:00+00:00 2.267172 NaN 1939 7.203685 \n",
"1939-10-04 00:00:00+00:00 2.267172 0.0 1939 7.203685 \n",
"1939-10-05 00:00:00+00:00 2.267172 NaN 1939 7.203685 \n",
"\n",
"site_no russian_r_af austin_c_cfd austin_c_af \\\n",
"datetime \n",
"1939-10-01 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-02 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-03 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-04 00:00:00+00:00 366.942991 NaN NaN \n",
"1939-10-05 00:00:00+00:00 366.942991 NaN NaN \n",
"\n",
"site_no day_of_year russian_bf_af baseflow_trend \n",
"datetime \n",
"1939-10-01 00:00:00+00:00 274 366.942991 NaN \n",
"1939-10-02 00:00:00+00:00 275 366.942991 NaN \n",
"1939-10-03 00:00:00+00:00 276 366.942991 NaN \n",
"1939-10-04 00:00:00+00:00 277 366.942991 NaN \n",
"1939-10-05 00:00:00+00:00 278 366.942991 NaN "
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df3[\"russian_r_cfd\"] = np.log10(df3[\"russian_r_cfd\"])\n",
"df3.loc[df3.index[3], \"austin_c\"] = 0\n",
"df3.head()"
]
},
{
"cell_type": "markdown",
"id": "f1407f4b",
"metadata": {},
"source": [
"## Now for some powerful analysis using fourier analysis to extract the data's signal.\n",
"\n",
"Some background for your evening viewing: https://youtu.be/spUNpyF58BY\n",
"\n",
"We have to detrend the data for fast fourier transforms to work properly. Here's a discussion on why: \n",
"\n",
"https://groups.google.com/forum/#!topic/comp.dsp/kYDZqetr_TU\n",
"\n",
"Fortunately we can easily do this in python using scipy!\n",
"\n",
"https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.detrend.html"
]
},
{
"cell_type": "markdown",
"id": "442b8004",
"metadata": {},
"source": [
"Let's create a new dataframe with only the data we're interested in analysing."
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "8cfa9ee7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
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site_no
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30773.000000
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30773.000000
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4255.042969
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1980.626036
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11328.390556
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min
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1.487607
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1939.000000
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345.124759
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1960.000000
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50%
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672.398238
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2657.857341
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],
"text/plain": [
"site_no Q year\n",
"count 30773.000000 30773.000000\n",
"mean 4255.042969 1980.626036\n",
"std 11328.390556 24.322069\n",
"min 1.487607 1939.000000\n",
"25% 345.124759 1960.000000\n",
"50% 672.398238 1981.000000\n",
"75% 2657.857341 2002.000000\n",
"max 193785.568837 2023.000000"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_data = df2[[\"russian_r_af\", \"year\"]]\n",
"df_data = df_data.rename(columns={\"russian_r_af\": \"Q\"})\n",
"df_data.describe()"
]
},
{
"cell_type": "markdown",
"id": "7a5a2210",
"metadata": {},
"source": [
"#### Now we're going to detrend the data\n",
"\n",
"But first let's also set the water year by date on this dataframe and drop the single nan value from the dataframe"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "1520c21c",
"metadata": {},
"outputs": [],
"source": [
"df_data['water_year'] = df_data.index.shift(30+31+31,freq='d').year\n",
"df_data.dropna(inplace=True)\n",
"df_data[\"detrended\"] = detrend(df_data.Q.values)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "e8104b3e",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(12,6))\n",
"ax = plt.subplot(3,1,1)\n",
"plt.plot(df_data.detrended)\n",
"plt.title('detrended signal')\n",
"\n",
"plt.subplot(3,1,2)\n",
"plt.plot(df_data.index, df_data.Q)\n",
"plt.title('Raw Signal')\n",
"\n",
"plt.subplot(3,1,3)\n",
"plt.plot(df_data.index, df_data.Q - df_data.detrended)\n",
"plt.title('Difference')\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"id": "af16ca60",
"metadata": {},
"source": [
"### Evaluate and plot the Period Spectrum to see timing of recurrence\n",
"\n",
"Here we've created a function that performs fast fourier transforms and then plot's the spectrum for signals of various lengths."
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "d2b002d4",
"metadata": {},
"outputs": [],
"source": [
"def fft_and_plot(df, plot_dominant_periods=4):\n",
" N = len(df)\n",
" yf = np.fft.fft(df.detrended)\n",
" yf = np.abs(yf[:int(N / 2)])\n",
" \n",
" # get the right frequency \n",
" # https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fftfreq.html#numpy.fft.fftfreq\n",
" d = 1. # day\n",
" f = np.fft.fftfreq(N, d)[:int(N/2)]\n",
" f[0] = .00001\n",
" per = 1./f # days\n",
" \n",
" fig = plt.figure(figsize=(12,6))\n",
" ax = plt.subplot(2,1,1)\n",
" plt.plot(per, yf)\n",
" plt.xscale('log')\n",
"\n",
" top=np.argsort(yf)[-plot_dominant_periods:]\n",
" j=(10-plot_dominant_periods)/10\n",
" for i in top:\n",
" plt.plot([per[i], per[i]], [0,np.max(yf)], 'r:')\n",
" plt.text(per[i], j*np.max(yf), f\"{per[i] :.2f}\")\n",
" j+=0.1\n",
"\n",
" plt.title('Period Spectrum')\n",
" plt.grid()\n",
" ax.set_xlabel('Period (days)')\n",
" plt.xlim([1, 1e4])\n",
"\n",
" plt.subplot(2,1,2)\n",
" plt.plot(df.index,df.Q)\n",
" plt.title('Raw Signal')\n",
" plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"id": "89c462a3",
"metadata": {},
"source": [
"### Now let's look at the whole signal"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "ae061a46",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fft_and_plot(df_data)"
]
},
{
"cell_type": "markdown",
"id": "35e769e4",
"metadata": {},
"source": [
"We see a strong annual frequency that corresponds to spring snowmelt from the surrounding mountain ranges. The second strongest frequency is biannually, and is likely due to the onset of fall in winter rains"
]
},
{
"cell_type": "markdown",
"id": "92936f20",
"metadata": {},
"source": [
"### Okay, what about years before dams were installed on the Russian River.\n",
"\n",
"Let's get in the wayback machine and look at only the years prior to 1954!"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "ed01ace9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fft_and_plot(df_data[df_data.index.year < 1954])"
]
},
{
"cell_type": "markdown",
"id": "5ae5807f",
"metadata": {},
"source": [
"The binanual and annual signals have a much wider spread, which suggests that peak runoff was a little more variable in it's timing compared to the entire data record."
]
},
{
"cell_type": "markdown",
"id": "238d70b2",
"metadata": {},
"source": [
"### What if we focus in on after 1954?"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "b71e84e3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fft_and_plot(df_data[(df_data.index.year > 1954)])"
]
},
{
"cell_type": "markdown",
"id": "e2e13b0a",
"metadata": {},
"source": [
"It looks like flows are more controlled with a tighter periods.\n",
"\n",
"So post dam construction, flows are much more controlled with regular release schedules. "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}