{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Creating subplots\n",
"\n",
"At this point you should know the basics of making plots with Matplotlib. Now we will expand on our basic plotting skills to learn how to create more advanced plots. In this section, we will show how to visualize data using pandas/Matplotlib and create multi-panel plots such as the one below.\n",
"\n",
"\n",
"\n",
"_**Figure 4.11**. An example of seasonal temperatures for 2012-2013 using pandas and Matplotlib._"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preparing the data for plotting \n",
"\n",
"We will start again by reading in the data file."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"fp = \"data/029740.txt\"\n",
"\n",
"data = pd.read_csv(\n",
" fp,\n",
" delim_whitespace=True,\n",
" na_values=[\"*\", \"**\", \"***\", \"****\", \"*****\", \"******\"],\n",
" usecols=[\"YR--MODAHRMN\", \"TEMP\", \"MAX\", \"MIN\"],\n",
" parse_dates=[\"YR--MODAHRMN\"],\n",
" index_col=\"YR--MODAHRMN\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After reading the file, we can new rename the `TEMP` column as `TEMP_F`, since we will later convert our temperatures from Fahrenheit to Celsius."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"new_names = {\"TEMP\": \"TEMP_F\"}\n",
"data = data.rename(columns=new_names)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At this point we can quickly check the first rows of data to see whether the expected changes have occurred."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" TEMP_F MAX MIN\n",
"YR--MODAHRMN \n",
"1952-01-01 00:00:00 36.0 NaN NaN\n",
"1952-01-01 06:00:00 37.0 NaN 34.0\n",
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"1952-01-02 00:00:00 36.0 NaN NaN"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we have to deal with no-data values. Let's start by checking how many no-data values we have."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of no-data values per column: \n",
"TEMP_F 1644\n",
"MAX 249697\n",
"MIN 249701\n",
"dtype: int64\n"
]
}
],
"source": [
"print(\"Number of no-data values per column: \")\n",
"print(data.isna().sum())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So, there are 1644 missing values in the TEMP_F column and we should remove those. We need not worry about the no-data values in `'MAX'` and `'MIN'` columns since we will not use them for the plots produced below. We can remove rows from our DataFrame where `'TEMP_F'` is missing values using the `dropna()` method."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of rows after removing no data values: 256028\n"
]
}
],
"source": [
"data.dropna(subset=[\"TEMP_F\"], inplace=True)\n",
"print(\"Number of rows after removing no data values:\", len(data))"
]
},
{
"cell_type": "markdown",
"metadata": {
"tags": []
},
"source": [
"#### Question 4.2\n",
"\n",
"How many rows of data would remain if we removed all rows with any no-data values from our data (including no-data values in the `MAX` and `MIN` columns)? If you test this, be sure to save the modified DataFrame to another variable name or do not use the `inplace` parameter."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Use this cell to enter your solution."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [
{
"data": {
"text/plain": [
"6601"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Solution\n",
"\n",
"\n",
"len(data.dropna())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have loaded the data, we can convert the temperature values from Fahrenheit to Celsius, like we have in earlier chapters."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"data[\"TEMP_C\"] = (data[\"TEMP_F\"] - 32.0) / 1.8"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can once again now check the contents of our DataFrame."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
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" TEMP_F MAX MIN TEMP_C\n",
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"1952-01-01 00:00:00 36.0 NaN NaN 2.222222\n",
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},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Subplots\n",
"\n",
"Having processed and cleaned the data we can now continue working with it and learn how to create figures that contain {term}`subplots`. Subplots are used to display multiple plots in different panels of the same figure, as shown at the start of this section (Figure 4.11).\n",
"\n",
"We can start with creating the subplots by dividing the data in the data file into different groups. In this case we can divide the temperature data into temperatures for the four different seasons of the year. We can make the following selections:\n",
"\n",
"- Winter (December 2012 - February 2013)\n",
"- Spring (March 2013 - May 2013)\n",
"- Summer (June 2013 - August 2013)\n",
"- Autumn (Septempber 2013 - November 2013)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"winter = data.loc[(data.index >= \"201212010000\") & (data.index < \"201303010000\")]\n",
"winter_temps = winter[\"TEMP_C\"]\n",
"\n",
"spring = data.loc[(data.index >= \"201303010000\") & (data.index < \"201306010000\")]\n",
"spring_temps = spring[\"TEMP_C\"]\n",
"\n",
"summer = data.loc[(data.index >= \"201306010000\") & (data.index < \"201309010000\")]\n",
"summer_temps = summer[\"TEMP_C\"]\n",
"\n",
"autumn = data.loc[(data.index >= \"201309010000\") & (data.index < \"201312010000\")]\n",
"autumn_temps = autumn[\"TEMP_C\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's have a look at the data from two different seasons to see whether the preceding step appears to have worked as expected."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax1 = winter_temps.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.12**. Winter temperatures for 2012-2013._"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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gonAZKGeRAZVz6Ms8AtXGyi1tOOYr9+FXj69KvW9umPeXiBK7ZO4t+7lbA7/Dl0LZuw2Sjty/dGPmXZqcWEHE2vi8PqE5FxfnwCivj2Sgv/tejE05P3fr4ogo1BenECrY2aL7vftfthKFNdvbcdEPHsXhX/pHcCJsf13mn+WbADC0xa5v4r87Cz48CnRQnED0ZSA/HY+EMbR6OxR6PYkb0+CIAgI22PeBfLiyFUJOgSjdqUYVH/V6MXsNr20NZJ0PvZQtIU2OKMFVVDLg+TNZN1EUiY/Swyx0KyE5guNKu2i+thmoS07Bl5yC2g68jf7tmEnR8dod7cp9si9MnuA2cAJy/qwJibJEvzUz7pxHyHmUiEBcK7zwuj2IYDXRKJxCLTya6w5yl5KXnIIvkPNISReY9hxQXwtEuSh3Qfe85G6wkuHOJ0nWMshn9DhUuqhKka2zxEiVoKNgJjh1xSkIsymuzPuhF1Xf7MiuKGfHzjdFirhO+5jQiIJHhCbP00LI1K4t+2qxzjXIFrxBitm72NXeHSiamU7BIwpl5/adE58IUny0ZvteCCEghMBv5q/Cro6eR6Psbcj1WFrZbGvrwrOhlU9HdxHPv75DuX/z7k7sYaa5lYLv5rP6fMiFpKOghibRQ0HzxU0umHJt6i762FjCyomjw+CrACAyT167o71PwmkLIfDC6zuM3sNyUdWth4p+rO+xBTEsFH20hXXMIj6678WNeGnDbuxhPiZcbOULYG9o8rpme3vkiwAEimbJhXM/BklIlqzbGek5OApFHxt2Zu+zciA3g72FVVvasLujO7Hx2dtViLj0eoIjCgB2tAdOTzlufRQqmtN2TnwibN3Thedf34FTv/kQbn7qdcz96yJce9sSHCFltnUMabP+XLj4H/OV+/CWG57A7o5uzPzCPUH+BJar+ulV2xPhkUdUEEb8//3umei4lD5D4ou3B34IKza3KTvQ/3lguXJft0G0J/9/8fYlOOHrDxgXHxOeWqUu+PLd2/cGi9op8x7E2346X3HE6w389JEVuORHj2PODx5LXJN1M4mPpFUdb5MFq7ZHxz9++NWImNy9eH1qGdo6C/iP3yzABd9/BJt2dUbndaun5ZsCfdKvn1ilmBm/vq0dHhE6uv3IRwEIiNqa7Xsx5wePxXoOhq/ftQwnfuMBbDc4xPUUB44fVvV3SnQWijjz2w/jQ797FnctUtv2E398AWd86+G6C5czoInCvqHz09CWPHwRm85JToE06yOJ0w4cC0DdeXUWinh1U5DE5elV2/DH0O67EdDakgMAzJyoTg5un68nqGltySumhuOGNuOj5xxY1nflQqZ/Nwsmjx6i9I2eXMYUv0ruRv+xJCBo7RUkmjli0gh0F4L3DG1Wpa8dJaytegrpy/HKpmSyIJP46J0nTFb8b7oKcZuMGBLnSn6MOZjxvMsmcI6MOwPq1l481wi/TyAQVY0b1oKh7HzBF9iyx77gy1zpvcF5H3PAyKq/U0JuuB5dviXK6yFxz5LAL6LewuUMaKIwqClYDAWQEB8FnELMlo8fFjvqDA+dl7j5X3cxztncaD4LcjHTPXT5RNcHbnfRx+TRQ6LfHhGOnjxSuae1OZfp+5Ww752a+EiHKZSAvF32D1WgCckzBWma7Lw3kPb62PoovikXbmqM4iOLPL9UCAZeBNXUNCYWgR4jbltV9xZcGzO0OSJgHgWEpCllHMR9l1q8itCb+gxORG21q6XllQkDmijI3ZWMfioXJ18gFh+FA4bLWmVWrx17451NZ8GP2ORKdqC1hBSj6Ao3brO+Q8vUVSgKZTHPeaT4KgDxRH59297U9I+lJoUQAj9/dIXyjg27OqyKXiFE5FHLIe+XqTpNzy9asxNrttszqxUFsC603NHl76bSPPLy5qqJlazeyZbIvQICQsQhSLgMn4uZ1jNZvandOAqKb466KYq+K1RrsoKmhI7MvcNnmnIe2rqKifHDIVPflmMyy1H0hTUd657ObP3TXfRx/4sbS9/IwMesreQF30eh6OORlzeXHX+qNzCgiYIclEU/nDzM2D4YuPEugk8o2dH83DfuWorr73kJAHDvkvIGTq0hF4W8NilvfW5tdMx1CkBQ9xxvLwNR6OguwvcFTrv+IXz4989avz92aHoGsw/f/By+eudSzPzCPdG5QlGNWMvfcf29L2HT7k7o0Hfy9y5Rwxrs2NuFi//3MZz6zYesZSn6fvTuUgvUyi1tuOKXT2HWtfem3pcVL20w+32sZzL7Lk2XwnVlm3ebdQA8NeeuEgYE/DlbGPlg4Wecgq8qoYkCk1T5jAx9kSZGkQv3syWIlg0/fHA5zvnOP7Hc4Duzelu29KrHfe1+fOA3C/DHp1dn/u7tL8ShXrgxAl87ir7At/7xEq745VO44PuPZH53b2FAEwU5qH2NUwAQWkiQ0W57XChKGsLEIzbHl0mjyou3UwtIsRF3QAKARWt3RMcTR7RE9QaA3Z0F5EMRGxCIKg4YM0R53hcxN/bQS8l82leePAUAMGH4ILzrhMkAgEuP3i9x350Lk8rPfUYMUojC5cfvHx0/bPgWkBQ96ISuTdulyRAnp84IdEhNOVIjxfoiVWS0fme79VolsO1ot+6JF3t9Jy8Qi49aW/IRl8vFTDMnDlPGcho4IeRtIRf05pwXtAvbFytl8gNOIce48P1HB3OkNznsZ0NdyZodyT4ZHIqRZx8wKnGNQ0Y0eGpldsK0WNN1SXDusdsXeDIMVpiVQPUmBjZRkOKjMGQC3yl7RPA8s7wxFymk42s2M/t6j6QJxDoF3WSOLwCFokA+NCUEgM7uIvI5ihSKUiSgI00GLBfUYPEKkNVlouALZVGyhVzg0LtSf0aPTSMXCzkGmnIeir6viNl00YiCKouKbZyJmg1QFelIUSgQLMgy0q3kKPYbORjdvshOFDSOII4CEOqlchTmJwnuIQrK3RSJZgWAYBzJd7WGCvssCtdKw2HIeWgK4yGJFo9zloZy3Hps41JJEOV0CvUDOYHkjq/JUzkFPcxFdI2SJn62cbJqa20p/0sbdqfK84HA5h8wJUCJf2/a3YmiL6KdZkd3USF40q9Dh3ynibgWGVGQcvGsc75QDPosDntRekEplcfZ02YDHx+AJApCWQx51E+97NXWX9oUokq4D18T7zCrugITJcmx25L3wrZTO2/lljajpQ9f5LgSu5vpB3w/Fu0JIYlCcF9RJEPIyMU4S/a2SpXCvA10FHz7GDWhnH2e7Z2Kkr7o15VxiiMKiBXNXB4bBcQzUHF9YgHAydPH9nJpy8fWPZ244PuP4LNhzCIbpDewbi996L4jouNbn1sLX8RK9o6Cj7znRbsmIjJyCmlev/Jz3HM86+SQkW1NXJvtHfrpA8cPVX7r1khygZX5NSRRCJS3MXGM66N+4Jbn1mSqS1bYxBvDB5njDnUX1TYq+iLa0ETinryHQlFgCxNBbdzVgbO+/TDecsMTiW8pRIdZ7Mn3NeW8MDor5zL9aFH2/WCn7XlQFM38HWmo1ItcioZN4uCCxZrMhnKs1g7bL55Dx0+Jw/Dzb/3skRV1FVDTEQXINJvqpA78FMw7CxlSuVAUGBMmsD/nkPF9UOLyIGXQC0oo5+QuW07KUaEN+1H7j8Bh+w2P7vOFQEsT4xRyBLnDzHk8RDXYM/bv8vATEadQok6Hh5NMio/yBgItj0cMblKe1YnFwROHq9e1r3NDBABozpGyIwa0REva+181+BP0BKceaN54tLaYo9UEsv24jXwhkMslOQV9jEunPJM/RLemH4gW9KLUKVAgjtWU0PI+IQQIkguP9RBAMpWorU6VQJrImtb9cjmFcnDU/iOj40uPifVl/FMvrNlRVyFTBjRRkINSWmmoOgUkQmdLRLutYixfrqM+TaBUBFdb3BxfqHoCLj7qLPiKjqGU+Cjtu4KFwS7VjvIbUuTHd8ES3aFH+qAmdXjrXamLnPi3hRCxObIkBHkvXsikyIObHGrvp3KEzxlgW7RsTdYdWmiZOAW5uLfkc4n3pnrxazqFZklkwgU9lyMIkTRX5ebeNvFRJp1ChQs3z8Nhe2fWV5cTEZl/jx/zDUpHd7rPTV9jQBMFviZ0Ff1owQNC6yOYY/LISba7oxDtgEpR+nuXbEhYu5TC7o5uq/VCJegu+lighWwAYjGObvJY9AUWMi9M3xdoYcrXnOdFO3yr+ChltEvrnI27OqMFYsm69PpK4rFwzU6s29ke90VnMtdzXlMSPFYiNSTvQl12DgQ7bnnetLvVFyx9TGza3YFXNpnNSp9bvb2k7me9JfaPTVy2fNNuCBFH/920uzOKjirHdVEIrNQyguk79q6Cj6t+uwDtXUWFYGze3YkmSRyLfmRVFHB+6vN8nlC4gZDxsyRR0M2I71m8Adffs0whFuXsqAtFHx/63TPY2d4dbSZMc1ASehkP618rtmJTeHzTE6sS7aOnMk0DHxO+ZXxta+uKshDWAwY0USj4fpyXuegrJpceETbvSdq6AzF7DcSyyrSxunjtTlz122dw0Q8eLat87/vV03jjDx+rWAklTeh2tQeTb97dy/DWn8xPDEC5Y27rKio7wb8+q8rEi0KghVlobG3rjBzBTNZHrc05bN9rD0sgHXW4+OjVzekBwjiNXrZhd1RHbrYqxWa6p/TNT61GGyMe+iLOQ4d/5Y4Xo2OuU5DtIxeyR5fH5q/6grVQC2tw6ryHcO53k3boG3Z24NIbnsBn/rowcY3DFqvJNjxkbCHeDtLzXi60Jmc1Hniuo7uIWdfeg3uXbAxyOLPV3iOK7O31xFTcSqjg+4oIizROQVp58T7sLvr4z/97Bjc8/KoSj6mcMEGnX/8Q7lq0AUd++R/R2PzpIysS90lC5wuBroKPd9z4L1z9+2excksbvnj7Epz17YeV++9clB4fioOPMT6POaHhurt6wIAlCiLUI8jJLYQqg855hOnjYkXk5cdPjo75ji4SHzGW8txD4tjyejTIciB1AT0VTUn/AUkM9PLwicZ3gss3xjLl0w8ah6IvMIMpZ6eObY3iQEkdjMSFh07E2GEtqWETWvLBYtCUS8q1TXjDYRMVkU9bZwGz9hluvd8UEjltZ889mXlk2CITc0iiIK2PVm6Jn9GJgm6ObIsEK4nYojXpXFJz2F66rqQU9HbIEZUMZyFR8AV00+S4PF40toSQZtyh+EjzZ/C8WHwUKJrjMr39uP2j98XPxM/vYs515XAK6xhxSxPkcesy2UdPr9pelUjACqdgcfY7l+WiKOUr0RcYsEQhVh5ykVE8gTwiZVfcpDm2Rec9yRbH7+ZzsCnn9Thee6U0wfacPq+KmkWJhL6I+UIoE7c550X27TJxikRrSx6Fokhd7Lm5apasaNJKTKK7KKJgfiaYfESUOD8p31RDS8eLhm7TznUKCZ1FVmuWsJil7vaZGIuj1Gf0+z0iY8BACSU0g27Gq3k0y12+/I6MAqDL0rlMX9c/xSapwbt1KSQnIBUrg1OmYGz5Vn2fgaLSDuy8hVjUg8J5wBIFXckFqMpSz1Nl5LbjUormwIOzh0ShwoEiF7ZSX3+RiZP4pNAT1RR9Ee3uAbWNpEhAIu8FYgRdaSmEwEPLNoWcmlTk+okFdGd7dyJHgS+SOYfT4uXkdMcDqJNOfxcvQlcxyVHkvVjkIb+71ZATwPS+NMhWK9XP3FpO+U4JcqK3A1HSqACIicfG3fEOW1+D9WQ6eS3UiRfqFHi3F4qxmNb3BQjqWGmOTFIDYkRQ21I3dugp9HbmpulcPFaNFLumnBGAtumw6B1qhT4nCkS0PxE9RERLiWgJEX00PD+aiO4jouXh/17lo2QHKYtcGC47OFZ3KCZCAEDz1ExCOutIlJPcJS5r2Y8AAL59bxCLSQ/Zq+NlJibiES55NjOZE5lzTzmyWx/lcsECyifZxl0duPmp1/G+Xz+Nvz67NqpXwU8u9v9x0wK87afzlQBhuqwaSCcKJuWdbTKm36fqEYA4QNs/X451Cj02lyxxny3XdCWcgukZOa5lDC8gWSedU+BzIRcRBbWMuzoKjFOQYyV+Tpo5S05BwM55V2MnnbRCCzcnhk2MCYfuaxdZ6ph397LomI83stSpHpzYasEpFAB8UghxCIATAVxNRLMAzAXwgBDiQAAPhL97rxAGTiHnUWSyl1jkPCj3SeSZ/bWEPMqH8lVOXNoyRmTkqHTHoltNZIEtO5ecOC1ae3EiSglOwVcWlT2dBazdEcjgN+xsV8RH+uIjrZBUZ6kke59GFIz10+zsOYTlPp07CK4bQnP3ULJR6nmb13epz+ZyOlGIj996bJy3uZS4DVDbpbsolLGdC0PD6M5rwTfZ5onURVG35JIm4hJUZU4hUafIJFVkylF95sHjevxd3jyFoogITaVhPKqJPicKQoj1Qohnw+PdAJYC2A/AJQBuCm+7CcCbe7McfjTROTcQTxh9N1OO+EgSCHmNT7VKBnXFi00FUis+J/jORu74WzRxG7FjjlwoPtJl87wu8vXdRT/RLiYbf9/AKTTny6tkVwqnoJqkJgkiHyumODmV7mK9iFMoIT4S8eLFUWp3aeIUJLgvhx4l1/Stbm3TwF/thZsqk5iP+0p4pOqfTH4KNqudShdN7oWcDOfiR9/kRM/muVxp/gNFH+ardYqDc1b06qqipjoFIpoC4GgATwKYIIRYDwSEA0CvuggbdQoeRTsfTiDkNQmT+IjbWMv+ljtLvr5lzUVcDeiZrJZZQi9z/P6p1UZrqSghCqs7zzurezPLBC/cxLS7GOecIKKIMK/Y0pZYRKRFDj8bcBRqucq17OILz6ZdHdjd0R1l9eKRK7kpbaRTYIumiSikEfw0xywpwy+1INh0CqX2GbqhAx+PXHxqSnKjE06+IHYVfSWIYN4jrN/ZgadXbkuMNVmEzoIPgsrFynnCQ3hzZTdvuzXbKos8u62NRZK1cAo727vx5Mqt0XlOpDlXafMXkVi1pQ2f+OPzCb8TWzIjqa8DYoL1y8dW4ndPvpZeqV5CzYgCEQ0F8FcAHxNCZPbcIKIPEtECIlqwebM5RHIWxJyCrmgORi8XjQBqBE0uU5RKvN/+K+5AOQFMPgyDmrJFo+QolfjEhmPCTGgyI5ppAd2sOQz9QMt1LLF4bdBFv3hsZXTuz8+siRZvnnAIiHUKX/jb4uhcZ8HHLc/GORp40DTbDvBppmwOdlTqyvmvFUlnvDToCtaP//EF/PuvF2DN9r1KmPMTpsZxagqawxpQPqfwuVvt8acu+8l8AKV3/H7EKehXyuQUvHiMX3zkvvH5DM6HvP26Cn5C77Zpd2ciBDmgcn4ekeLDYfoudzLj95bDaR85aUR0rG8uYPn9mb/G/cS744U1O6LjUtFUz/z2w7jlubW4c+F6hSDbotkWGAfsC4FC0cd1d7yIz90az52+RE2IAhE1ISAIvxNC3BKe3khE+4TX9wGwyfSsEOJGIcRsIcTsceMqk+0B8e5AV5xy8VFOGcjxs+OHDYoX/hRz0zxjmfVz5WBXe2V5aWeHAbhOSQnWV8qLVsduzXZbtuMhob/Aiq9fhJXfuCiyPuJo0SaTvMzv1W3wd7Adu9xRcZ8REy46fKL1Gt91eh5F2bg6Cz4mDB8UXZPB8gKLozCEAxd5GEQtuljhHcfFOR6y6HdKLXeyjXTiYaMlsri69VG08SHCUfuPxIThgdPmcVNHY/LoIUrdbPJ3IHRYI4qeTxNX8mGv32cy2ea5FbiFVznm3XOO2Cc65lZSOqGzGRxwIs/zb+sh1m3Y2d6NK046IPrNNz5KDCnmvOmLyrPLVQu1sD4iAL8AsFQI8V126XYA7w2P3wvgtt4sR9HEKTBbexnJkV/jiMQmmtMWf7cciOpEqkCnUPYTAWzRHzlb3FO9VpTvmImRgsxaSYe0pAlouMixa3pZedtK2atOXPR1Im03qQd0k9+TppTRfX6sF+LES8K0W0yrrylYoI5SOgnJJOnVsz0l79PpV2x2HfyXc6DJC3xz0vQuBY1TCMLBxHPBBr6Y6/oi0yLLiYIt21spqGW36yVsPjL8tEh5Pg2qE59ZfMT9eXwhjObCfYlacAqnAHgPgLOJ6Pnw7yIA8wCcR0TLAZwX/u41yAmoio9iOXya+Ijb5Oe85GSIFpEoXK86MApFH39e8HqvRGXkiJxytPOKEq+Httgykqa+5pk4In3R8xnLHO+C7d+SimZ9QdYXmTRFINcbFBSiAPzP/bHoTAZ4U3JGKEQhKQYs+EGQvlueXYP2rqIWdddeL4mNuwJR3qI1O7GQiSsk7Irm9PfqMaCIcQoAsGZ7IKfPeUlHS32B6jZYH8V6InsZeB/ptxncSRQOViEKFS7IioFDRk5BsShMed4GIrW8NkWzwikYLPHkepH1uz2FOeZuL0II8Rjs/lTn9FU5TBYlfELoJql8QSDEEyAnvTjZu+WkjcVHqs37b+a/huvueBEdBR/vOfEAlEKlu3nb7rsnxMijmOhNG9eKFaEimYfEAOK2HDG4KVIg6o5jnBDYyvrgsliKKDkFfeHS2z+N/f4eW/gDT2r5DlISIsl3BMrl4O0Kp2AUH/mYv2IrPvGnF/DMa9uVBaGcGPwX/+9jAIBV8+Yo53l7CeZPUtp5LdleQJJ7acol82z/+vFVym9ushkomvl77XVU51J6+QAo/in7joh1PeUsjJyeKTqFjPNBNYu1P28DaWWwcgq+zwh+cvz+6vFV+NpdS1HIIDqtBgasR7NuIQSog5oIyoBPxI+JxEyUmPCy8+U9is17UUQK3+0ZLWcq3c3LXZ0+hm320lnA2+GDp02LjvWsWfK+s5hNtxpjyTeagOpEgQcfLPqhwxTrp7lvmJngFNKI3jqWo9cXcY5lfYGM0ktarM5MprDdRRHFy9m4q8O6qFQKNXREfL4c57VzDxmvGFNw6KFKACSCQhY0j3cvhQPgUO+Ljxd96XwjMeHioxZmnFGO2S/fjPFdv85J2nUK8bEQsU4sK13iFnZBeVgZlPPqpkgv37ZwDlQaQ61cDGCiEDS8HuZCIqf5KajiI1KUdTadgiQ4BW0wRLFuMg6uyjkF6QxUPU5BEamlyInlQsQVdEo2Ll91cLIRMD5Bir4PX2jOg15yD57mgMSJV1AG833yu4rHriE0A0fRF0o79IT4mqCGYc7+bs8zj11dxNeU8xJmqfqCqWa404hpClVQufD4fN4gsgJUolDUHBizgu/o+WM2PwUdQhuvsS9BGYRJe0d0rOm2+Lv18Stbp6+8nQcsUbAFxJNYs71dmeC6i7o0xcx5lIg/LwedHOzzX41tn7fu6Yz0Flk5AP2uzkIRF//wMSWFogl/WrAmLI+m8LJMlixQ7NJz5okOxHXvYIswL8Nr2/Zq8eVjb1ZbNEnTQm2yckozU1WIFDcFTMiZg/u4/0muhPPa+p3tEfcnBCLRGqDGE6oUS5iZpi8EDv/ivZj714Ulx1FeW5B5aBKOnEcJE+VNWlgWfcFSLfTsVEHZNGhjyKRo5uJIfQEtFH184KYFeGDpRuv3AJUz5d2bZlHFwU/zsSKf/8SfnsfX71oKALjqtwtw1W8XKM8LISLrNvmO+JuqnoQn+tH9i254+NXwfcZiVh0Dnihw8REfuPNXbFUWup/889X4PvYe00TQnZ24D0NbVyEiKEMtaRR1TGSmkgDwqT8vxKK1OzH7q/dnet4XAncs4jHpkyxtWjhm7pfxoTOnY+rYVgDAtLFxGG2+2AKMKPAdHxvVdy5cr0U8jcVHP3kkbmue+1oSX04UDpowzDqpzyoRjqDoC+vuy5Qaki+u+44cnLjeXRT47zAnwprt7RjcHIs9xrNcHdWA7weJhf7w9OslF4ukrsxsLVT0haJXARCFRpfQFc+6ro1jnxHxuF3PxHYexeHc88xhlIMnl+rWxuv8FVtx/9KNeP9NCxLPqfUxi48SBg+W8aOHfJGPFYVAe1cRtzy7Fjc+sgK+L3Dvko24d4lKpHI5D4OYQYLNCtFnHGtRCGMaVACKyXRvYsASBZP1kb5j4ZPJluDEFHon0ldYTE7k6dFhfudS0HelG0t4VOoQQvUWNYkhvnbpYQnFpsT+o4ZEx6cdNA4PfepMrJo3B0ey/LP7aYukXHD0/AV8oeATVU4SXwhF1zJ2aNBGrc25aEHi/XLyjLE4e2bg/L7/aLUMeg5mHUU2GRPhHIwZ9+J+kLk29Hrz5/kbRw7O1tdZUVAWvOR1bsCg7+ZjX5zgv0wuddL0MYn3TB49RPmtm1Tz8a8TmfNYngCF0wbwz0+fhVXz5iixswDg/FkTgiRAihmquqvea3COM0F+8hAt54betbZNhR7nKXqvL5TydWvERzpBBsYAvDxcfGTmFISwb1TGDqvuGLJhwBIFnjhFIhkOwCY/h/G8hC4+Uq5VYIJsM+XMCiFEZGIJmDmFNIecprydcEbnLYp4zkEEVjPxPSbxkW590c1ERl0G5S//VpKoW6sEIJiM3Kuaw+RPwt8vZe+dllSRAuoOtKfRPfWFQpHtG8RHXLSnBMSjePGOk9mHnK1hvKb5KQBJU22lDJ5nvGaKa8XzmOQ9UqyP9AU5K+KQ2KpRgy4Cs+nY+MZAN4tN807m53U9mukZfp8v7FFT+8p9YcAShUjRnLMPas+6+KfLUU2iKYmuoo/bnl+nnPvbc2utLCOQHs0zC4KFViUKe7sKOOvbD2P1tkBckOZc1ZTSRhI2nUJnd1Hx7FbiySicguoUJSGzoeVzXkTY9DaXcttE/CWTATzDE69uZZ6kaquaYhWp91CYs1nVUfD6FHpIFFSiol7j0XZNr+aLtc4pyJ/yv5RhmwLi6QumnpxHV2JzNDELrU27Yl2FaajJhd/zAmLCiS3PSFcUQuF6AeCRlzcncm8AcZsX9HGXkVPg3MBaJv4qasrgbs26MBIz+VoASD4+tLGhRgyOn9GJx469XTj9+odK6hN7ggFLFGTDK+IjNlrHtDZrSWPMTWXmFOzX/vDU6sS5j/3xeZz73X9ay6qP2RQjDyME1AxoRSHw+b8txsotbbjqt88EZU3hFJotbcRhCogHBDtpGe+pKPQoqeZF77nVO6Ljm+a/Fn034hQ0Cxmp0E1wCiXsQDfv7ozKoy8LJqLAdUNEYZkUTiG+d832dlXskXGHy53r/r4w3jzoROXXT6yKjk1vzln9b2DVKZh24TrHpHMKaSapfNzsYUQszWdDcgoc0jku5wUmntfcosaRuuKXT+FtP52feFecxEkdd1n9FHjdv3VvnGNCNxvVfQ7iY+27ygKvjg0uxlQc3jRdyFtueAKrt+3FKfMeNJa5GhjARCHczVtMUv/91KlWkRE/TgsiZmLH27SkMVmgLwhZ479MCxXCvoCSh6Doi0QMo7R36opK4z0WfUxnocjyYKsmoLbq84VRItiVi/QyJDgF8/s55KRLimeSRIGn3iSoOX0Bs5OgHAOVxLPhIhT93TwmlEkGzcdeXus/ni2Pw8Qt6uaaug29Mja09rZtpNJjJFGC6Es05SghukmD7Bp9x54WEI/DFm5Cz/+hhAXR5plNfKTGPor7V7e+8zWuQcaBMhlCVAsDliiYw1yY2Wz9Gh+ypsVU7hZMg1u3fS6nrNH3M7IKfMHT3e31RdwmPvJIs9W3jBh9oZbv6+j2I6efop+0AjG1n2mXrmf4MiERU6eE+EiWAUiKYIzWR5qlmswZob9LoujHITkqiWejmA5r5VMUzYZned1zOVW2bzVJNQwsnVNIiI8sTmmAKj7iSCcKcdn1fm7yvLLk6nJxDZT+6f1kgq3PfN8u7tT1BvzNplSwTTlSiJZOcHROoaf53rNgwBIFKZe0KZqDJOSlZelrtyfju0vlqklGq4dS2GWxauLQZaBZw0XLwXXLs2uVvAZFXyRkkmkK5DQntfi8+jt2XitGRKG76CsRL3fs7TZOyHUG6yqbZzGHvqvNMn9kX+nFWLuj3VonINgY6LJtfbEpMKKQlk+Bg4tZbMpMAHjh9R3RsckaLU2nIHMd6M1jai+pc5J45GU1XL1qfaQ+a1OjpIfDoEiHpTvS5XOEZRsyR9lX5PS8LN1FH9+8ZxmWrNsJIYTS5hyrNfNciaIQis8I92XZ2c498O2cgjS5zXueqpcSwkg85HFfeDUPWKIQsdDKOXbskWKGytl1vjDes2RD4t1ykJlSNurxT75+59KSZbUpKUvZvstvdRZ8TGbmmkVf4JgDRin36pvqWBmphxDPtkuX9xV8ESVyuYv5SpQL3gI5InzrrUfgnNAUddSQwMfiZS3+0hoDwbaFLjdZ8Oh1pZRNAo+mKlH0RZyUno2FNM/UeXfFOX25H4hOgAY3xz4uT6/anngP51L5MS+2XoeZmukmUNqXRtlMaC+8iek9Dt9vhPW7HDvbuyOi36QNyl0dBbQ253HlyVOic3w+6WFj5C5bNw9es60dP374VVxzyyLjGJHgXtXcNLfoq0SB58rYsLOTWT1p4lL2QxKSphwpIich7JuB3g6gKTFgiYJcaEcNiW1/1XyzwIHjhwFQUxYCpRW9ctKbHJw4in7SkiKtrDpmlUggzgdRi+ZEM0bzkdA5hX1CR5kcqZyCjaOwWR8BcWJ2vjCeOiOZ4yEtIfrYoTEBzOcIl83eH7+48jgAwP++85jo2mcunKncJ3HtG2cBAEaG/X3QhHjBBcymwjoBUTgFdmnkkCbkPUooaosWTkHvTulfMXxQXhFb8XEnz79tdpBTmRfNxG3y8OJqytkk17dq3hysmjcn4TcztCWvjL1xhk2ImmRHvcar+ZZj9jOWQUImxJm17/BIpJvPEQ6aMBRDQifAw/cbAQIwfXzcd4oYR9uE+Wxx5oVpC3VWq7ftVep3/yfOUJ7ni/XhLGGPTIQjwfVzQZ7nUMHtC01c7CcIYnPei0SBHoXmrhZOoadmzVkxYImCLclOdOwx070y7X1kP5ZKqNNdFFaFkS3sb3nlMLOuvi+sHsgS3KnIsyyGyv3aby5WaDEsjCaW3WTCG1+zcyt88VS/GxNCqRvpCsNu6PoGE6egl0cRo0EllAGnYCcKvJ/1L0mC1F1UnZ34giA9wyVR45yraWNhMw7wUsQ9OvI5tU6meE9ZrY9KzSA5Pgc15WJOIefBo3gn3ZzzEgutzZcAiOdht2aSyp3feJfp4ioeJ6uTzZeir+Y80C2bpBjT163t/OSmKjBWCA1Tcp4SRlu+I/4u+gQDlih85ObnAMS7WECfPJRZfq5DLnilOnHF5j14nsmGOVZtjXUAeqRKiYdf2ozXt+3FlLl3YkMoV753yQbcs3h9+P14QHUWilG5C77AnYtUX4mkjT9F53ViaYItCREQ5zvmC6Op3qYcwfG1uJ90Yqsu/vE1Pf82IRBBmL51w0OvQodOuBQ6okhNAv2TnoaywMRHrzH5tC8Ebn9hHR56aVP0GwgWNb7Ar962Fz966BUs37g7Sk85MhSVcbv5+15MxgDiRJ8M3EFQhfSBnPe8kiILJd2kdivfcOnpOHVIcUxL3ot8djbt7kTOo8hjuClP6CgUce1tS6LnuCJ8e5tKHG9/IRjjXQVfEeNIef6Ovd0489sPG+sCINLDBfHNVKvBW56L08pygrN2e3tE4F7ZtEfbmPlJ5XnOi7iOvEcQIsXJzXEKfQO+m+GTftOuTutOik8mGWLBhD8/83rqt1tb8lbF0Xfuezk6TuM4Trv+IQDA5T/7FwDgqt8+g//8v2cBqANq3Y6OIKIoBYuQLn+XC7+MF8Q9TNNMUr9+6eEAgEuO2k85z80R5STnOZBN4HJaHbOYvFsnQFPGtuL4qaPx2Ytmar4l6mLIJ5ve7ndm0HfkLLviwPYf+P2TsQ/KpFGDFU5h2KBYNi9EsCl536+eBhD3U8EXihPWp/+yEN+69yVc9tP5ka3+YfvGYow0/OzRFdayRucNw+o7lx0ZHbfkVWsfToji98UveUEj9E2a1VPadyX0HOa5cKEEgrma9DxP5z75eyRMYphp41oTnKEkaq3NuYhT8ML5w0VGcw6P81x//m+LI85mxOCmRCA+nShwB0ipw9jKAuLxTYKLktpH4LHac9qCkkVoxAOGHTxhmHJNf35oS14JbpfWydv2qFYMHDwhucSOvUniothSF4qRY5Bp9ycH66/edzxWzZvD8vvqREF97p0nTMaqeXMSAfVM1qDysweOH5q8CLX9JwxvwVFhbKXp41qt/QQE7fqnq07CB0+fbvVCJ8QKaUAlMhL7jRysyL516PL4k6aNic7rhGrmxOGKormQEpZC9d1I9k1ntx/12UHaGOPxpzj4Ymkj6iZO+N+OnRTf6wXlMekSJLFL8wXhnJpKmOwz67D91LHN7zVGCLCEGdFR9EXEZZkswa48eUoy65wvMGxQHs35XMQp5HNJ7qm1RSVktjhGRYNJKTdrln5FvHx67DCJNP1bTzHgiYLKKTAxSS6e6PoYtvovaPfpJqkeQTM/s5eLLxyJ+DNZnXcEJwp+ZGZrIgoJPwOmU1AdlLLpV0wKaSnPN4WdBpIxluROP+95qggrRcyk9KHFaQuw6y9SvW01IhNzUwbv4NDJStY1LYCdKa8ER86jSMSQMNO0+peYuRrbsQm5cKyYxot8Nm2BV/o5RffAkWaw0GQYN1nzNxeKftTnukIaSI4x+YxHhOZcHB6/Oecl5q3+vkKkU1D7ulBMJwqyfLxOnd1mZ9feNEQa8ETBplPIyilwWaM+QUyB29I8YG1ISwgvYXoTt6jZ1tYFzyvNKei/9cU0bRFIex+AKLSwlShoQdyiQHceKTvStPAVNvGRR1B8JEyOhZv3dNoV6aRydsSIpaf5tABxfJzYec1uOFBKbu9RMAaacpTYaNgd+fixmTsoNf48z+5BbMreppfFpmi26er4eyWeeW17dNxiIOTdmgexDV3FmGvr7E4ShaYcJeZQoSjgUUCMJFHI55Lzp7tg5vx0nwNfiMSawMWakVGCJeaSLVBeteGIgsV5Led5qYNX4vp74pgongfMZvb//37q1Oi4Oe8h53mZ2V3FoiGxE0k+Z4pbwzmFF9bsRM4LuB/T8/p84/Fxsi7IyvMpHIXJigVIhjGXv5tyZOUAEt+1KMVNfgU6ugq+dSNAgOIASCCNcKr3Sxt1U11N8fzlOHzXCZOT3w4XjpxHCuGcOXFYqnJeQvG/YQ0hndh0fOTsGfjFe2cjR2RMJH/6QeMU8aKEPjb+6+wZrA4wHktcd8mhAII6fX7OIQCA/3fmdOUeE3eXlVPoLvpRW5k4hbNnjlfEi0AQEtsLx6G0/jIp3zkXyH0ohAj6WjZRwReGxEbJAJp8jZjL4jzZFNDVhiMKmtkiP07bNUrwrvGI8MYj9ol+c7vvtx47CTlPEx/5iGyw05CFU9AhDDs8KZLxhcCJ00Yr10xZuOR/br5JGUdMmnLcxinoBFopQwYLKEDtwzRPbBthyuqcR8QJZ/I5ObFNdU2YpIqYKNicxbqLPpq01JUfPntG1De6j4FtZ55F+veJ8w/GOYdMiEQb+ji66vRpifDbQFKPxHURnO82leGKk6Zg1bw5yOc8fOC0aVg1b47icwKYw2YocYdKEIW8YdGVaG3JJ/q4u+iDQqIgOYWmXNL0mM/p8cPjOvsiEALLPuOxsCRyjFOIiBYrHz/mHElv+iwMeKJgy9FM7Lc+FG2CJSJS4szo4ou8F8sjpRWQbYHnZ5M6heSgTi40yXd64UJb8EXCWUtfaOVPosCRLz6fkVNIuY8TYtv5vBfnC87n1MUwjeCk6RQ4sohdlPOG37IcuoUWEIsAjERB92cQIrK64V60/P6iL5DLkeLlm/coSuSU7D/zIpxVJyTfYRqjOY+iBrGF09ChcAplx/kN0JxLjpvujJx3oSiinXiprHr8mZwXLNZStt9kUDRzEZa+cAsR902hKBLtT5SuU1C/Y9dLVRMDkihsZXb/NvERkX3ociWwYuIHNdsal/8GFirxvU0hgeAD9M8LXse37l2WeO/di9bjmlsWxh6aGbKXf//+lxPngoFPeHnD7oTNsy2gnb7gZRUfpe3mWyycAndC85gpYk7Xa2QUH+mxinjZ7ByB+b2J8xTXccWWtsT9codnqqviyCYCR0IZ9uDBZZsS9+/qKOA381/Djr3dmgcx46YyyunLWY5fXL8L9y/dlBC35Ji+LUskWh0Zh1ACJk6Bh9FO1yn4Ue6UlYb+Mo3X7qKILPakD0qh6KdyCjw0jh+Kj2TfGDkFjyLRVDlEYcWWtrISDpWDAUkUOJvYYuMUUsRHShwkjS3mttJ6yGI96b2+Y/z0XxbiR6ET1QlT49SIL6zZiZufeh2vhcHJOOcgxVXvY7JMAPjhg68ov6Xl0fa9XRjV2mze/fHfTJGYxaNZB3/fFy+epVzjcnDuu/CWY2JzyLwXB24bPjiPDqbQL+UpLnHitLgN21g47pxBBxDDQixASmgOgtou2zWT4MjSyrBqPro8DiqnOybyfjnCYHrM0V0UuOSo/XDKjDF4p6aLuGz2/rzwEfSk8JXAI4qcAPmc0ZcomctbK4Ki8C8FPlZk2BkOTpBL6xSCvpAi2/++8OC4fGE9vnTxLHzyvIMABBy5R6TM93U7OwycQrxYb2PjQIScghwnRpNUij22JXGwBU/UiXNa3KaeYEAShdGtzVG8FzXlZqzoI7J7NCtrOecUiBQ5qh4rRzGvy3mpHopSnMB1DvJpPijl9VaLLPrNRwWONYGim3DwhGGRAowjIX7wpMw4W4RSHfy+GZpfwoHM1p7HYOIOXp5HmDYuWFTOnzVRyYWcJpriOaCbch6Gh+8c0xr3i+fFi8DgphxWzZsT+U5YX03AYN4XWrvwPMAThw+KJrBJfMTndtIZK8hjTaTG5eKQwdlGtzZjzhH74HcfOBEfOedA5Z6JTLbN22u/Eg6EWZD3KOqPnEe4+T9OBJAcU2qo8diPRx8Pafj0BfHCPXNikihw8HkhN1yynN0FX1HkDm7K4UNnzojWAYkrT5mKc8Pc0t2FIFaR7htSKApMHD4oCkjZxUVGmtkotzjyDc5rUowMABNCHyZb6BudWFTKcZXCgCQKNngUm6UR4kVYJw5cfMSv6ArHvBavRyUKyaiaHKZ8DxIFP46Roy4wyRfKiSltpD3PrIRO+ikE/xOim6zioxRZM+fO+MLRlPOieilclmdvVx269ZGeGF7eI++LfCHCcqTQhISo0Gbp1Jz3IrNHE1GwxaQCgvDfkqssFW47rR1yiugSxuNKIceRPJZ1T5Nzc466nCIoeSFKFN4UUZSbBMv2KhjEOBzyWjebMxwFXyhh0fVsaxIJnYIvEjG3cqHZL69fFvFRb8IRBQaPSBnYNkUzB7+fmykCSauPnKIk9EqYpKqDGgB2hC7v3FNWBt96cNkmI5GR7Hd3GHfFI8IDyzYlQkqk+SlwkUPWRYXTAV0HwCevbucuJ2SO9YXuK5EmP9fNULnCnD+/4LVtyvml63cl7uPwhVAXNiI89kosBuLhKVZv28tCIyen2GssrpWuHyqEQfF0nxYgaamWtrCpITnMx5WC9wc3WU7NBqZw1Nm/JXN0A6XFhnrKWSAW33X7vtVRVYe81hU6r+mbwoLvB39h3620iLAC57XYDNXkp8DDeKSZzAJJx8ZyjAbKQU2IAhH9kog2EdFidu5LRLSWiJ4P/y7q63IFC4oIy5Nt8PKFnS9CgBrfXbf3N+kU1PcG//lAvjmMrcOdouR9T67cZtxJyBhEQgQLhU0klsjEJie9R2ocnYwzeqtWd45/rdjKyqcu9twMVUR9obZd2mTQfSrMppOEhWEyeJ1jsi2aegRTImDjrtLJ002cwo9Y8D25ez1lRqD/kLbxQURXtT8f+8zZym9busvgmrohMR1XinxOJQpZuEdCPJ/KIUy/enxVdFxqETSFnI5TwaYHVeRIiH1Z/c6eOR4FX6BYFFE8Kh7sUBdh+QIlxEeMA/bsJrOm871EE2rGKfwawIWG898TQhwV/t3Vx2VSLF4I9sFuW8sDQsLFHFymqiqamw2mbRy+gVOQOwjOKfA3mN6niLA8u4JVX1/UEA7WYlrBTSf1ZlQmJ3dYy1E0MQKiGZ7XiFmqSapFfMSfSDNVTVvfbFY8PP6VDps/hITcbR4aBrqTIoscUYLI674IqeIjC8daDTm0R6r1URY9UzXKUMryjcvzdS9hQAujkrqxUMcHv3VoSx5CqF7HHHr+A1+IKCxL4LymfYv9lv1pCnUCJDmIanB9JtSEKAghHgGQLadkH8KjeMFP4xSE5Vi3MGpWdArqYMuX1CmE97Fn5KDg8kxlIhgGE1+Ucl5yEYyvmTmFNPPNNNjy8wL2HRvnFHQ7+6x6jYRZMSWfUZ7XXuWxZ3TonEIW2MxvJaKw0OFYKYb6olwug04h48KmlrvnCwn3UyiHUzAdl4NS31EWZM0hDNDMxTO2na5TM3kdA3Ebq3lLgnks1wRfmDyak2Wy9bu+SRgoiuYPE9HCULw0qq8/niOKYiE1M9f23VpIXr7wD2cWM10FX9lx88ieuqI573lW8dGHfvdMKItUO/7Ohevh+4HyyqTk2tOVDB3Md5Npppi2gHgL1+ysyHvS5ikOqFElB/Pop5p+QYbc3t1ZUEIIlxPmwqhT4KNeq9reroJ10RqshHXONiNt3tsSH/vD88F9OXWs7NjbbfR/AICJoYVVVl8Q3iadBue4cpEjwrDQ2k2PomsDURxWI2tAR9M70sDHqTQj5aKdrIEddYJ6L0u5awsrIhf0ZKY0ES3yuggyeD8fr0Gf2UKA60Thp/9cYbyvp6gnovBjANMBHAVgPYDvmG4iog8S0QIiWrB582bTLRVj5JBmfPqCg3H1WdPxpqP2xXKWc4DHYTlq8sjIvp674r+0YbfSydOYnbbOKeQ8O6dw16IN0a7iQN0cTrLFWkjm46eMRpthMOU16w3bTjEZxz4+5vb+WTFlTJzTVg+H/Lk5sd8Cj/XDHXm27+2KlLWPvLxZmZhZWf8cUcRi64rqK046QHlOmkkuWbfL2kYf1mL5zGEhTbjJLPe9MJkKSzNhAFgUJnzhnFWpNfa6Sw7F+0+dquQN1nHc1DiMCX9fWs6KrBjV2oRrLjoE7zhufxwzeZTS5vd9/HTjM7xJ14cJobLgU+cfFB2X0ilwYiMTGPFvZfWK53PGIzV5Ev/GmWHukdbmOFucqlMIOIV1rAz62OIbTL7pkOFOuPmuHnjvl4+vtNahJ6gboiCE2CiEKAohfAA/A3C85b4bhRCzhRCzx40bV9Uy5DzCsEFN+PQFM4OMSKyDhw+Kg2XlPYpsrsew3MEgzRRTE2XI36OGNMGjYAANs/gXFP1gQF7MFp7gvCorlWWcPr7VqGhu1uSoWfUDx7LAftx/ICuIKLIB51zD5+ccoljR8PbLeYSjJ48EAEwfF08GXa6bVgWb9REolv0TEQ7WbN4/ETos7TtysLWNBms+IzIZvRDAB06bGl3jjocm66PhWu4JQAvhbiBKr349truYOXE4vvDGWYmIqRy2vAnliBxscbma8x5OnDYG8/7tCIxqbY7afPywFkxhGyGOSk1Sx7P8I3xu3fKhkxP38gXZNBc8jyLfgtSNhWKUoF7jhHhGOEab816o94JiXqpHSQWSdefl4By03KRxQiHFx2/njom9gLohCkTEV79LASy23dtb0McJH2RZFlOCXXZNFLOHQciLMK6MRTRTKPqhY4t6PpZBq+IjW9x73as6q35AtWypnvCSm50Gv9VrPDKqhM5lpRXH7qcQ110vg/yGfLU1DatmkioXDwE1F28z2/XnDYTY1OU2cQ+vSzlQZPgVdp/tm026rT2Tmds+VWkZ9HEgYYw+qxCFZCPzyLtplls5TeSqlsdL3FfwRZTuVc5BSRT0vraFkwnKFB83R0rnWOcUHafo66qB8reAVQAR3QzgTABjiWgNgC8COJOIjkIg5V0F4KoalEv5rcY4Iu3e5PO7OgrqjpYdB0ro+Pxzq3cAsMuct7V1QQYk4+joUhPVyMFf9M15jxXrHs+uRE0+1zsDb2d7t1GOCkBJrKNbgKgEOrv4SMaj7yrE+XH1yK9AbF66YktbSQUvEExWOaGFUPNyNGn28DmP4KdkXks+U/LzJcGbiNdn9ba9hrvNsCbw0c6bRCdZy1a6DKoFn/5NjlI5jD2Kx3WqTsHCZQFqOBOZF71QDAw/+DjNh+LhBKegffaOhXGu9JzBKq8Qvc+LiEIaQasGamV9dLkQYh8hRJMQYpIQ4hdCiPcIIQ4XQhwhhHiTEKJ00txexrBQZDRtbGtmyxM9YFls/RIPZD7QbBPp6de2wTNwCnKRkztLmZFLCIHv3ZcMgsctoMqxJMqnmJT2BPNf3ar85qGi+WKtyHU91YEuVXxkEZW8trVNMbPVF7y7FwfDTSq3S2Ht9vboHUIAb2MsvW5dpbe5qctt0XorBedqVjNlq56bOw064bTfFxMFK5elnM9ePxunYCQKrGGl+POCQyfEzzOleFbrI/22+1/cGB3f9nywoBeYYyjnFEQGToFf52Xi1mjymtQfZsmh0RPUjfioHiE77N+OnZSZfbfZsnOdAj9vIwqd3YETkx4JUVc0y+eLQhhNUpOcQlaiENx3wtTRVbWGNsV+4deicNnaxFQ5MHuJbOaXXNxjspjJYvOtbwzkBsAXQiEETVqb698ybWibSugUeoQKX5c18GAuaodsRaiUU0hbrAFzmIuJmk5Cir7S5rMucuUwcfbdYYY2EN/ZZ+MUbN/VI6bmc7GHe5ouqRpwRCEF0mTUFC9fv0dCuU0XH0U71dKzorMgdQrq+2MZoy4+EkZTPz2bWVbRdBTPJtvtmVFK9BOJeLS4UVnDP9teT1BDd+SrUD+bM1WzJpNO3mfwJ1E4hR4USkIbe5Wg3I1Q0a++ToGLMW1pRSW4+EjOhUHNqskzFyHaoHP7HDZxrzSG8CNOwYt0Clk3NLyukSFJOL/zOS8x93sLNdEp1BsCJU5yokorkWGD8gkLnH1DE0TdlDMhPkKwBATio6AzpXt8Gna2d2NIcy5hASLDM0gZtlQ037HQLG1T2G+PIDLG1JIbtFVb2iKLoGpgVEqGMC7e4pNx+OAmxWInbZGzyVuJgDsXrY+el5NT2oTz6LY26F812aYH9eCyYUrIr29+6vXEu0spmsuFYoVV4TvGDm1WcgTbELVDikyfc2Lrd2YP+czFi7wZTW3003+uSNjuj2DjhojwooxxlbkEKsYxa7nRrc3YFoZz8YjQ0e3jpY2BL8aWPZ3YsqcTLXkP+VychjdV9KklUALitaLJI3SE7yj0cmA8xykAuO/jZ+BH7zwmcf4Dp03FF944C+84bn+86cjYtpxA+Mg5B+K/LzwYJ09XbfhtO1quaAYQmcYByfAFEt1FH+fPmqjkI7hncWCv36xxCjakcQqPzz0b58wcb6y7DOO7t6uId59wQOJ6pXjHcYHs/ZPnHYRr3jAz4T8gF5Zd7d0YGebMfe/JUxSZfdrMmjDcvLjrxEcntt++7EiMH9aCx+eq8YXSIBd7acf+1TcfhjccNlHh7tK4TI5hg+xE78b3HJupPB87Nw6fzRfTSmnMpy8IfHCO3H8kfvHe2QCAOYfvk7jPY8TRC40ZeAhzHYvXZveVOGbyqPg72liZajF/5XjrsXGODr7B5r4HJsh8zXu7C7j8+HjsfTnMJQ0AX7/0MPZumyRBM3FN6Qvuca1zA/mcF2WZW5eBUPcEjigAmDK2VXFEkmjJ5/D+U6cin/MSbN/YoS340JkzEvI9fTcTxd4hlYvgSVHGW3apB00YBs8jvO+UqdEEkM5dsfVRctfwvlOmRMd6LgRZnhnjh2K/kYPxiyuPM9Z9WEswKaaMHVLSK7ccSGeu/zrnQFx1xvSECen0sJ7jhw2Kyt6UU01I0xa5LIpOz6OI4LSGxKE57+Gpz52rOKGlvYMH6ZOOeu8+8QD8+N3HKgti3vMy7fzzHkW7Wv328w+dWPJ5wO5XUClRGMLs5s85ZAJWzZuDH70ruYGIdQoBMVz5jTmYf805VSmDTZRDBGWxtkGOY0BdnA9IcfwDgvoCQWKfMw8eH51vyecwdmiwieP5Lmz1E1CD4KWJj/Tw6xxcp9Bb0VElHFGoMvSBy8/zhU05LuE6D8RioHaNKJgU1YrSk4slmM18qXEVOeFQdcNu6d8lzU/BBAIl2rIn381R+Xb/yTLBKOoC9HAK2XQEStjwCstmsxbqrcBpEtwKy4ZqlIBXrxzT6kiXVEa72jYkHsULu27EYYIv9Lwq6WXVv89/cyV2b8IRhSpD9ySVi7anLUR8QNnMIE3RPGUsFxmW2xQyQCEmih8AcO+SjYlymhCVuwyLpSzQFygleU6KlY6yS6/ow/FTuzsKkQKvlBghDS+FsXz0/pPhOYCAU+C/bch5FIUbr1SnYFssKu2+6LGS9v+lP1DKhyALdMfQLMQu78WKfv78PSxsigl/eDrQ+yzftEcZIzx3eykvdMCUQyGNUzBHDwYCU+IiU2L3JhxRqADpfgrm+7iNNKBO4I5us+KIK011KyQZM8cE1TxSFZtExyUmss8sr6ppIam/y9PaSNZSMBcvop576PJHlm/ag61tpRfqtHd4RJGdulQuSjzJEu5kNRSxRTUtBz3lfnRIQlxqOc/y3b2dPQ/ElzVSLgexwVNJ+zy3egdWscCEhLh/snAAgfVRNk6BX0oLE+78FBoMOcvA5Xbyh+03PNMA5ffoVk76bw4+aPKaojkqW4mej3YlVRcflcMpBGXgEzH43fMS9dSsj8ic/hRQFYZ8V7f/aLu+Ii3HQ1bYOYXK3iefKrXJz7TWVmEQqaad5T9XcbtazKObctn6zKYP0x/hv9PWh942SXVEocqwiTk8infqHlEmBxQ+GPWBkBann9/bbJF7llpY/Uh8VF1nqrSJIOPHyPLFnILmp1AJp6A9U8nE0t9hc9bSw5VLZF04KtcpWIhCRW/L3s7VFC9m/Q5R+eOg0rVUifXEuFabY13iuxbioT/B52Sa/sMRhQZDO5M/qgOA8Jv5rwEIHFLWbi9tVsYH2jTN/G6fEfZdJw+PrGdekygV015aCU0ePURRVvcUg/UQ3ayNmjwPI0KLjuGD81Gd8zlSQlBXsgap+gnVcqQSEICxw8zv4JFfuRXJyJRv8rHy4LJNFZVprMWKrZIotwAwpDl4Lo3D4bCZAwPINN7LgUeUOS+DvK3SzU1TTiVGR0waCUCNd5VGGEdbrJT04iucQkpRpfVTb8ERhQqQJu/jjmkqOxiLZDq6i3h1c+kYNHz3+FVmEw3AaEYq8cDSOD5Lk2XXWirZypH7j8QN7zoGX37TYRjakodHwL8dMyn1mTT8/IrZOHL/kYnQypxjGtycw9tmT8JX3nwYLpu9P37x3uPwyytnY/igJhzBcjKU4nLu/8QZ+NvVp1ivCwEcPHEY3nzUvrj3Y+b4/ybopoVXnDQFAHAJy48AAOfNiuPt8IXybbPt7adboH3lzYdZ7rTjLGY6yXHU/iOV3weMSTfHlJgxfih++p5jcf1bjyx57+8+cAJu//Cp1uvPrt6e6ZsmfH7OIfjOZWoZPKJogzG6tRnfeusRief08UpEuP3DwbhIGx86+Bht8jxcd8mh+O7bjlQ2Zmmb9+OmjFbKYIMiWUjhFN567CS05D18+oKD0wteIZxHcwVI6zBd7nng+KFYvmlPYjCk7aok+CLUks9h1bw5OOJL92JXR0GJ7Z9WPj0Oj8SkEnbaAHARc1Ra8Y05Je9Pw7mzJuBctljaMGxQE95zYugs1wKcPTN4xrPIZU3giUnSnvn+O44uWR6ORJDAcKens/OcGyIijGltxta2rlSHLn2jUcqOvicoh3O4IKOPxCkz7HmqgdJ6iTR84LRpiXMexdzsmQeNw2Wz98c/XtyI+17ciJ+8+1hceFhc7gPHD8WSdbvghbv8VfPKG8vKxsojjB8+CG8JCc5+Iwdj7Y729PAtnNNI+xABlx07CX9+Zk3qxtPzCC999Q2Zy18uHKdQZXia3F4OFr2LeeIZG9JC5OpiGPU5s6I5a/ygekdlfgo9r7G+m5e5LXQFry5f7gw9UdP6XH+mVG7ncqBzVr0tkzahkpSuaSDEzoPcp8b0LdmWlY4AW05xjlSikFGvRKBojKXpKHp77jqiUGWMUGL0xOaKnFNYsaUN08bFYhRbWkUZq4djV0cQq8fmvQqoA4pHWeXjbHMG2/l6RSWTYuLwQT0ONMcXhBGDmzCmNeD2JmviGJ6lD4jTc5pSc8bvVqeiHiOqHMzUssqp3yEcuu/wit9dKXi00mqAvMDrHYhToU4N55T0Vpd4Nsxd8rsnV2d/PxsrvOy6lEDGHksbW1nNjYnie9PC1/S2Yt8RhSrgzo/EslQuutAtkT55Xpxv9l0sntAX3hjHNsoK/p0DNXEJ/y4Pg8EH50pLUvha4J6PnYaHP3Vm5vvLmRPPfP5cXHX6NJw1czy+Hcqlxw5NF93JRebdJ05WzvN2nbXvcFxw6AT8/IrZuOr06cp9B00YimnjWiOZ7/++8xh8661H4PD9RuCgCXFfffzceDwMavYUMcVBE4bhqtOn4YFPnpG9sghk+z+7YrZabg9Y8uULMGnUYCz7yoX4yiWHYdSQJms+5d7ApcfsV9X3eUQ4ZcZY/PLK2fh4OK8+cd5B+OWVs3HydLMoa3nGXBkAsPyrb8B+IwdjyZcvwMkpojFpGp4adTWFU/jTVSdFx4R4c2BKxNRXcEShCpA7RiDdUcW2+9NFBSMMOXx1NOe86P3Txw2NdodHTBqhsKt5z8OsfYKdYaW5ensbMycOt+b2NaGcndKYoS245qJDAMRB50pFRJXB90pZKBERzp01wZAjgvDgJ8/E1WfNABAQ8Mtm74+cR3jn8QGhmTa2FR9lAex4P0lcc9EhSq7qLDhlxljsr3GeHgXWW4995uwojtdz156PAyfYOYpqo9oiK9nkZ8+cwFK4epEOqqfI5zw8PvfsVO4OiHOJp4bE9tTNIcfoVjWKq7x3QpU5q3LgiEIVwKk673R9oNh2E7qcMsuax/MZ5zyKTB/1qJyeFyvKaiBKritIea3N6UxCtn+VxeBhGcydkPMIXSUi3laKNKVlX6HaJejteE5ZEeVnKKEYlkiuCarxglRK93J4o1QM8GWiOuD2xjZF0tod7dYYR9zeGUifQEdMCkwziShyTNMJxEbFLDa+VvWMXg2GXe3dAIBlG3an3vePF4O4OC9vTL+vEqQFMxtWYldaKfpjt9dLnaK4SikrKd+ktYX5O/TnASk+Kk1kXEC8BgBX5tr68tXNe7AoTJCjg7Oon7vokFRW9LfvPyGytZZOZTyNZc7g1CN3yH3leVqv2GAIHmiCjPe/0NJfQOU73zRP9oMmBqKIz885pMK3m9EfNwPl1EmGqef5JqqFLNkU+QK/fW+Xck2PlSbvtc3V46aMSg1xUw04olAF6N6ytntsuwk+oEYMSdcnjBjcFHlUNjHztYgb0L7BlVe1ZEnrAeXKtattRgmk7/KkSKTa8vdqB8qrB5RTJWkNVs28IBJZiEKaj41qdVY6IvH7T036bFQbjihUAapOwdypAna/Az2jVNbxLt+XI0oJhhYPxHqQLdcS5YbryBhFoSzIRcQUSrq3uqcf0oS64Xqz5Hzm7i2J0PEapyDXApveq7dFR4AjCmVBN/2UkDFigPSJrds4y6xf/HSQHS1beaSNdC5HeOilzQCAf63YhmMPGBWXrSlvTDJSH1Oqb2HzB9Eh9TbVzE0tIUOdyLwY3LNdWgNljTWUFfWwgJbigLPipGlB+ttyaiTNt6eOyW7hlhVxoiX7PbmcqkxWrrETW3Z3RtdtG5JcL4fNBlyYi7Lwm/cfj52hspJj3LAW/PDyo3HCtNFWNlIIkRjIj37m7Ej5KVEOqx8Qo84EB/Dnq07CtM/eBSCYjLGckpUn81fqBze865geBVY7/cCx+PQFB+Ptx6Wncbz5P07EDQ+/gqvPmoEfPvgKfvzwq4l7KpXT66aG93z09EjO/O4TJuOwfYfjaJaXuCd4Yu7ZWLhmR1XeVSme+fy5uHPResycOByLv3wBLvjeI7jro6dV/L6fv3c21mxvLyuL2r8dsx+mjWtV8j2Xix+/6xjjnJE796wmqfq44dKDTbs743DlELjnY6fhwu8/in9dcw4+8JunsXjtrj7h9h1RKAP7jBhsjU568ZFBUDQ/Reag9+fo1maMbm3G6nDXCJRHFCYOH4SVW9oSz+gTxssg92wEXGRIGl8OiCjyHUhDa0s+Slpvk+9XKqfX5dqjWpsj/xUiqhpBAIB9Rw7Gvik5p/sCY4a2RIEDh7bk8fjcs3v0vtaWPA5O8dg2gYh6RBAA4A2WsedlsBZSzdT159Vr8n1CBP47Mk6T1Iv0xRx24qMqw6pohr1D+cAI7snW8dKqqJScUV7Wzd8cSsPWtA1OXx2qhjjviA16si2OpONj8F/fW0aZEPtgxXZEocpIYyNtC4yefSzrgpM10XsuYnGzvdchhk3t3+hcl0N1cPNTQS7n1JDY7NJzr6khxPXEV0+uCFK5/kPLIR2qD/svp0BEvySiTUS0mJ0bTUT3EdHy8H/1+Oh6gABs+3PF+ogNkmtLxESS3pA5j/DsF87DuYdMwFOfO8f6freQVQ89le1OH1d9padDfYITjN0pzmseAYvD3OsrtNhkklPoC/PiWnEKvwZwoXZuLoAHhBAHAngg/N2vYFtHeD9zfUBrS7qTCucURrc24+fvnR1FjuSIbanLLLBDr4mPhmeIb+XQQEix3CgngqqN44jER30wh2tCFIQQjwDYpp2+BMBN4fFNAN7cl2XqbQgkrY8kSBMfmc6bkMVGGuCu+I4qlAtbm9WDmadDYyA1h4Ki54tzROiQYbH6YtzVk05hghBiPQCE/825BRsM0jb+pOljcZTF7l3JfyBElCpzT0fBeL/Ept1B2AZTGOyhLHQGtz6SdvFjSoSPdghwOEsDWg2MDyO0nmIJ7+zQmEjzfs+6jk8aNRhzDg+sGM88eJxy7ZTpgX9GX0RPbTiTVCL6IIAPAsDkyZNL3F17PPjJM/Do8i048+BxWLO9Hdff8xLGaCG0+WZ04vBB0W7Alohd4qTpY/H0qu3GUNvzrzk7StTB/RT++4KZ+OSfX8DElNSQDjFOP2gcPnLOgbj06CAfwEOfOhOrepCLYv/RQ/Dof59Vc1NRh+rgMxfOxDfvWZYaUTfr7n7GhKE4cdoYzJ4yCudrqWs/ef7BeOcJk6NcH72JeiIKG4loHyHEeiLaB8Am001CiBsB3AgAs2fPrnsfrHzOw1kzVaZHD2iliI9yXuTr0FwiBs7QUOdgsqUfxrJ/cdvnyBIpawUc8AmWHGnq2FZMLSP3gwl6vgOHxoXU+6VxClmltgSC55HRHyfnESaN6ptxU0/io9sBvDc8fi+A22pYll6BiOSC6nk+aPIeYU9XITquBiTN4PFUnEjcwaHnkB7JaXGyGs3qr1YmqTcDmA/gYCJaQ0TvBzAPwHlEtBzAeeHvfgUZOC9JFDinQBHx0BPF65A29KWGnHx/0Re478WNAIIYSQ4ODj3D469uAQDcv3Sj9Z7GIgk1Eh8JIS63XEoa2fcjRJyCHinR4qdgi6paLiKiIICXeiFxjIPDQMVrW0vrlxrNUq2exEf9HpLD1McI/93ECEEpTiErJKFJi8vk4OBQPrJs3BrNEtwRhT6EiBxQzPFOADU0bvV0CiFR6I2kww4OAxiljEGA7JxCvTAUjij0IUaHpqgyoqoE5w4G5WPLpFLOZjLe/0mhDbMNh+47HAAwZWxrw8k3HRzqGdMtOVY4Hn9li/L7LaF5c72inkxS+w0Wfel8dBX8xPmRQ5qx+MsXYIhmksoXfx5aWfdn0DF7ymgs/NL5UVhdG9505L44YeoYTBwxCN/5x0tZquDg4JABJ08fg5ufWp16j653+MIbZ+GW59b2ZrF6BEcUegHDUhZp7mlcClkSc5YiCEDAvjpnNQeH6iNLgDpdfFTv4Wac+GiAIXsGaAcHh1LIRBS033VOExxRqGeIXkiauSqDCZ2Dg0M2ZHFMS/NLUu6rRoGqAEcUBhg6DboOBweHypDRrkj9VS+rvwWOKNQxnAWpg0N9o5IFvt7DXjii4ODg4FAhsqzvac6q9QhHFAYYzj2kX6SpcHCoC8zaJ8i3sa9m3XfFSQdEx7piucniBV0v4TCcSWodYvLoIVi9bW+vvPusmeNx/1JjVHIHB4cyMXHEIKyaNwcAUCj6mPG5uwEA/3HaNPxm/msAVIu/sUOb4XkUPVOPcJxCHaI3Nwz1Ls90cGhUkBbtOD4f39PRXf+GHo4o1DF6Q8/sSIKDQ++Az62cZyYKnYWi9XlRJ5YljijUCc46eBzecNhEAMBVp08HEOfzrSZmTxkNADjjoHEl7nRwcCgHfPHnKXJPmTEWX7v0MADAl950qPX51jKiHfQmqF6oUyWYPXu2WLBgQa2LURXIfugLZVOh6COfIbqjg4NDeZgy904AwKp5c6Ljv/znSdFmzAbfF30a/oKInhFCzDZdqw/S5NCnlgeOIDg41BfqKR6SWx0cHBwcHCI4ouDg4ODgEMERBQcHB4deRKNZgTui4ODg4NCLaDRbHkcUHBwcHBwiOKLg4ODg0ItoNPGRM0l1cHBwqBJMMY1ylgB49YrGKq2Dg4NDgyHXYKyCIwoODg4OvYgGown1Jz4iolUAdgMoAijYXLEdHBwcGgGOKFQHZwkhttS6EA4ODg49RaOFq3fiIwcHB4dehCMKPYcA8A8ieoaIPljrwjg4ODj0BHUU6y4T6pEonCKEOAbAGwBcTUSn84tE9EEiWkBECzZv3lybEjo4ODiUwDuO2x8AMHnMkBqXpDzUdT4FIvoSgD1CiG+brvenfAoODg4OfYW0fAp1xSkQUSsRDZPHAM4HsLi2pXJwcHAYOKg366MJAG4NE87kAfxeCHFPbYvk4ODgMHBQV0RBCLECwJG1LoeDg4PDQEVdiY8cHBwcHGoLRxQcHBwcHCI4ouDg4ODgEMERBQcHBweHCHXtp1AKRLQZwGs9eMVYAI0YY6lRy52GRq1To5Y7Kxq5fo1c9izoSf0OEEKMM11oaKLQUxDRgkaMwtqo5U5Do9apUcudFY1cv0Yuexb0Vv2c+MjBwcHBIYIjCg4ODg4OEQY6Ubix1gWoEI1a7jQ0ap0atdxZ0cj1a+SyZ0Gv1G9A6xQcHBwcHFQMdE7BwcHBwYHBEYU6BlGDpWzq53D9UZ9w/VJd9GuiQES58H/DDBoK8HEimiT6kWyvEfsC6L/9wdGIfeP6pffQL4kCEV1JRM8B+Gity1IOiOgKAA8BOBrArkaapDY0al8A/bM/OBq1b1y/9PL3+xuRJaKZAH4D4F4AhwP4hBBiBRF5Qgi/tqWzg4hOAfAogOOFEAu0a9SIu6FG7Qugf/YHR6P2jeuX3ke/4BRktjYAEEIsA3AFgO8BeBHAh8PzdTfQJXsIAEKIxwE8CeCQ8NpcIrqYiIY20kBv1L4A+md/cDRq37h+6dt+aXiiQERzATxHRN8koivD0y8JIbYBuBXAdCI6Pby3bupLRNcBuJaIePyR/wRwExE9D2AkgP8C8K1w91D3aNS+APpnf3A0at+4fqlBvwghGvYPwNkAHgEwFcBZANYDOIJdHwrgYwB+x87lalzmFgDXIAjkdyuA87XrHwJwbHg8DsDfAFxQ67buj33Rn/uj0fvG9Uvt+qVudgQVognAc0KIlUKIhwD8D4BvsOttAP4CYA8RfYWIrgcwpe+LqaAbwB0AZgH4F4CziGiqvCiEuEEI8Ux4vBnANgCja1HQMtGIfQH03/7gaMS+cf1So35pdKIwBMAYIhoEAEKIeQD2IaLLwt8CQAcChc3/A7BZCPFqrQoblskH8LIQog3AHwFMAnA8EbUAsfkZEY0mou8AOALA07UqbxlouL4A+nV/cDRc3/SnfkmxjqrLfmkIokBE7yGiw/XzQohbAUwH8EZ2+noAn2C/vwFgCYDJQohv9WpBNaSUuzP8vwrAYwDOADAzPCfCHdEfEewkzhBCvNJnhS4BIvokEZ0fHkfjp977Akgte8P2BwcRTZELjKacreu+SSl3v+gXAJEiuSHmTF/K0Mr9A3AkgBcQyAuPZOcJQEt4/A4Ecrkp4e/JAH4EYFj4e1CdldsTTDYIYDiAHwJ4J4D3ALg4PD+m1u2v1el8BGZymwD8X6P0RYayN2R/aPU7F4FFzm0A7mbnvXrumxLl7g/9ch4CYnYjgP9m53P13C951DcuAvAjIYQSDVAErdVJRNMQ7BRmAfg8BQ4fFwNYJYTYHd7b0cdlBtLLLcJybwOwQwixi4iWIxgIWwF8JLx3ax+XOYGQ7W0CcC2CXdo3ADQDOI6I8gB8EbD5ddcXZZS9YfrDBCLaH8B1AL4phLiFiB4jorcIIW6p177JWG40eL9MAvAlAPMAPAzgD0Q0RgjxGSFEEUCxHvsF4Ufr5g+hMx37fROAN4XHHwdwIYCR4e/PIEhFdxqAEQBOCe//dAOUewOANyDYqc4EsALAZ2vd/rY6ATiOHZ8B4FX2OwdgLoDN9dAXFZZ9fb33R0r9zgDwYwDDw99/RiCDbg5/f7Ze+qaCcjdyv5wL4Cfs90UAugAcFP7+XL30i/5XNx7NRPRhAOcA+CeAPwsh1hLRNwC8CmAOgoV0FIKJ/FUAJwH4oxBiO3tHTgRUuGHKHcpScyJQqNUFWJ0eAfAHIcT68HyTEKKbiO4D8F0hxN1EtC+AS8L7atoX1Sh7PfYHh1a/XyHgfn6AwFrnVACvINhd+wjMNt8J4Pe17puelrvB+uUXCPwn7gLwQSHEE6EPwkcBPCuEeH94/+9q3S9G1JoqhUTpUgSWA2chGDA/QiBbeweABwF8K7wvF/6+mD2bg7ZTb5By52vd7hnr9EOEehEEO7bRAH4OzW681n1RhbLXZX+UqN8NAGaE1z4M4HPhcTOAlQBOqYe+6WG5G7FffgxgPID3A/g1gMcB/B7ANAALAUyqh36x/dWL9dEJAH4sAlvdLyFwWLlGCPEHBDvtJiKaIAIq+gQCjb2MdVIUYes2WLkLNSpzKeh1WoUwMJcIsA3AYABnAmokxxr3BdCzstdrf3Do9VuBQAwBBIrYFwFACNEF4O8ADgTqom96Uu5G7JeVAK4TQvwCwH8A+LgQ4p0I1ocnAbQDddEvRvQpUdDtddnvFQjYRQghXgNwO4BxRHQqgG8hYDGvIaIvAHgrAlEN+qoxG7XcaSijTncCaCWiN7Hb/w/ACUQ0KCR4fVqnRi57FpRRvzsADCWik8NrnyaiC4nocwhEGfPDe+ttntRVubOizHVgFBFdKoToFkI8Fd73FQCtAKQSua7qJ9HXnEIT/8Ea5S8A9hLRJeHv9QjELScLIZ5DYDmyDIGzx7nhub5Eo5Y7DeXU6WEAs9gkGAzgDwBqJf9s5LJnQbn1OznkTv8PwOUIONLzhRAv9U1xIzRqubOi3PodDABEdCAR3QbgMARcQ1ffFLcy9IlJKhHNRmB1s46I/gxgvhCiSHE42O0I4pv8PyK6XQixk4haEVBVhGz/T/qirP2h3GmosE5DEdhVy0lwm6iNErlhy54FFdZvCAIRDIQQNxDRL0To9OXKXR30YNwNCl+xAcDVQog1NalAmehVToECzEOwMN4BYCMCxdJkQAkHOxiBc9F6ADdSYBVyNAITrj5Ho5Y7DVWoUyTb7etFtZHLngVVqF9ky96XC2ujljsrqlC/7vC+3Y1CEAD0vvURAjvjUeHxPgBuBjCUXb8OQYMejcA65KsIWK8bUMNIjY1a7v5ap0Yue3+uX6OW29Uvpc690IhnADjBcP40BNr3+QC+j8B8aygCU60Z2r1DatD5DVnu/lqnRi57f65fo5bb1a+MNqhiYw4DcAsCB5RfMuoqY5gcCuCs8Ph9CFLOTWXPezUaBA1Z7v5ap0Yue3+uX6OW29Wv/L9q6hS6EFjevBvAOgAy/Ksf/l8iAjteIDDNHIZQ5ka1zQvbqOVOQyPXqZHLngWNWr9GLXdW9Pf6ZUaPiAIRXUFEZxDRSBEoin4O4H4ALwOYTUQHhffp8cTPD78t7XX7tEEbtdxpaOQ6NXLZs6BR69eo5c6K/l6/SlF27KOwgSYikKX5CGL8tAL4qBBiS3jPgQDeC6BDCPHV8FwLArncNwGsRRBKdlmV6tFvy52GRq5TI5c9Cxq1fo1a7qzo7/WrBsriFCgI2CQQsE5rhRDnIAhetQ3AT+V9QojlAJ4BsC8RzQgb1Edg0vVFIcSb+nigN2S509DIdWrksmdBo9avUcudFf29ftVCJuc1CuLPXwcgR0R3IXA6kSECCkT0EQSOHWcIIWQoh1uJ6BAA9yDQ0p8lhFgEYFEv1KNflTsNjVynRi57FjRq/Rq13FnR3+tXbZTkFIjoDARUcxSC8LZfQaBgOYuIjgcid+/rEASDks9dhiDo1UMAjhBCLK124ftjudPQyHVq5LJnQaPWr1HLnRX9vX69AlHaVOs0AO9hv29AkET6SgDPhOc8BHK6PyE00wqfO63U+3vrr1HL3V/r1Mhl78/1a9Ryu/r13l8WncIzAP5EcULtxxEkkf41Anbsv0SgfZ8EoCiEWAkAQohHhRCPZnh/b6FRy52GRq5TI5c9Cxq1fo1a7qzo7/WrOkoSBSHEXiFEp4hjxpyHII0cEDhxHEJEdyBw/362d4pZPhq13Glo5Do1ctmzoFHr16jlzor+Xr/eQOYoqSGlFQAmIIgXDgR2up9FEBJ2pRBibdVL2EM0arnT0Mh1auSyZ0Gj1q9Ry50V/b1+1UQ5Jqk+gnjiWwAcEVLXLwDwhRCP1XGDNmq509DIdWrksmdBo9avUcudFf29ftVDOQoIACciaNzHALy/1gqR/l7u/lqnRi57f65fo5bb1a+6f2V5NBPRJADvAfBdUYfxz21o1HKnoZHr1Mhlz4JGrV+jljsr+nv9qoWyw1w4ODg4OPRf9HWOZgcHBweHOoYjCg4ODg4OERxRcHBwcHCI4IiCg4ODg0MERxQcHBwcHCI4ouDQkKAAjxHRG9i5txHRPURUJKLniWgxEf2diEZmeN+ZRCSI6P3s3NHhuU+xb36eiJYT0ctE9BARHcruX0VEi8K/F4noqxTE4uff+R8iWktEHjt3JRH9r3bfw0Q0W3vvQiL6JxEdwO4TRPRb9jtPRJtD5yz5bp+IjmD3LCaiKaXaxGFgwhEFh4aECGyp/xPAd4loEBG1AvgagKsBtAshjhJCHIYggcrVGV+7CMDb2e93AHiB/b4awMkAjhRCHATgGwBuJ6JB7J6zhBCHAzgewDQAN8oLISG4FMDrAE7PXNn4vUcAeBjA59n5NgCHEdHg8Pd5CDKDcaxBEAbawaEkHFFwaFgIIRYD+DuAzwD4IoDfCCFe1W6bD2C/jK9cDWAQEU0gIgJwIYC72fXPAPgvIcTe8Pv/APAEgHcZyrYHAdF6MxGNDk+fBWAxgB8DuDxjmXSY6nM3gDnh8eUIgrtx3AHgUCI6uMJvOgwgOKLg0Oj4MoB3AngDgOv5hTAI2jmIA6BlwV8AXIaAI3gWQGf4ruEAWg1EZwGAQ2GAEGIXgJUADgxPyQX7VgBvJKImdvvbQ5HX80T0PIDZlvJdCOBv2rk/AHhHyLEcAeBJ7bqPoG0+a3mng0MERxQcGhpCiDYAfwTwWxa6YHC4sG4FMBrAfWW88k8IiIJpx20CIYi+mXYdRNQM4CIAfwuJxZMAzmf3/TEUeR0lhDgKAbHheIiINgE4F0HS+QhCiIUApoRlvstSjt8DOJGIpmaok8MAhiMKDv0Bfvgn0R4urAcAaAZwNRHl2E78OiK6lP2OduVCiA0I0jWeB+ABdn4XgDYimqZ9+xgAL5oKRUTDECzWLyPY4Y8AsIiIVgE4FeWJkM4K67MEQepIHbcD+DYshEwIUQDwHQQiMAcHKzLnU3BwaDQIIXZSkJT9NgA/DgkFx63ygIjOZOevBTBeCFEMVAsRvgXgB0R0mRCinYjORbC4X6V/m4iGIkj9+DchxHYiuhzAB4QQN4fXWwGsJKIhZdSnnYg+hoCwfFUIsY1d/iWAnUKIRVpdOH4N4L8BDMv6TYeBB8cpOPRrCCGeQ2BB9I4ynnlCCPE3w6UfAngawaL8EoJ4/JcIIdrZPQ8R0WIATyFQXF8VLvwXALiTfaMNQQjni8usz3oE3MDV2vk1Qoj/KfFsF4AfABhfzjcdBhZclFQHBwcHhwiOU3BwcHBwiOCIgoODg4NDBEcUHBwcHBwiOKLg4ODg4BDBEQUHBwcHhwiOKDg4ODg4RHBEwcHBwcEhgiMKDg4ODg4R/j+va58rFy01jAAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax2 = summer_temps.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.13**. Summer temperatures for 2012-2013._\n",
"\n",
"Based on the plots above it looks that the correct seasons have been plotted and the temperatures between winter and summer are quite different, as we would expect. One thing we might need to consider with this is that the y-axis range currently varies between the two plots and we may want to define axis ranges that ensure the data are plotted with the same y-axis ranges in all subplots. This will help make it easier to visually compare the temperatures between seasons.\n",
"\n",
"**Finding the data bounds**\n",
"\n",
"In order to define y-axis limits that will include the data from all of the seasons and be consistent between subplots we first need to find the minimum and maximum temperatures from all of the seasons.\n",
"In addition, we should consider that it would be beneficial to have some extra space (padding) between the y-axis limits and those values, such that, for example, the maximum y-axis limit is five degrees higher than the maximum temperature and the minimum y-axis limit is five degrees lower than the minimum temperature. We can do that below by calculating the minumum of each seasons minumum temperature and subtracting five degrees."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Minimum temperature: -35.0\n",
"Maximum temperature: 35.0\n"
]
}
],
"source": [
"# Find lower limit for y-axis\n",
"min_temp = min(\n",
" winter_temps.min(), spring_temps.min(), summer_temps.min(), autumn_temps.min()\n",
")\n",
"min_temp = min_temp - 5.0\n",
"\n",
"# Find upper limit for y-axis\n",
"max_temp = max(\n",
" winter_temps.max(), spring_temps.max(), summer_temps.max(), autumn_temps.max()\n",
")\n",
"max_temp = max_temp + 5.0\n",
"\n",
"# Print y-axis min, max\n",
"print(f\"Minimum temperature: {min_temp}\")\n",
"print(f\"Maximum temperature: {max_temp}\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can now use this temperature range to standardize the y-axis ranges of our plots.\n",
"\n",
"**Displaying multiple subplots in a single figure**\n",
"\n",
"With the data split into seasons and y-axis range defined we can now continue to plot data from all four seasons the same figure. We will start by creating a figure containing four subplots in a 2x2 panel using Matplotlib’s `subplots()` function. In the `subplots()` function, the user can specify how many rows and columns of plots they want to have in their figure.\n",
"We can also specify the size of our figure with `figsize()` parameter that takes the `width` and `height` values (in inches) as input."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[, ],\n",
" [, ]], dtype=object)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(12, 8))\n",
"axs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.14**. Empty figure template with a 2x2 subplot panel._\n",
"\n",
"We can see that as a result we have now a list containing two nested lists, where the first one contains the axes for column 1 and 2 of **row 1** and the second list contains the axes for columns 1 and 2 of **row 2**.\n",
"\n",
"To make it easier to keep track of things, we can parse these axes into their own variables as follows."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"ax11 = axs[0][0]\n",
"ax12 = axs[0][1]\n",
"ax21 = axs[1][0]\n",
"ax22 = axs[1][1]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we have four different axis variables for the different panels in our figure.\n",
"Next we can use these axes to plot the seasonal temperature data.\n",
"We can start by plotting the data for the different seasons with different colors for each of the lines, and we can specify the *y*-axis limits to be the same for all of the subplots.\n",
"- We can use the `c` parameter to change the color of the line. You can define colors using RBG color codes, but it is often easier to use one of the [Matplotlib named colors](https://matplotlib.org/stable/gallery/color/named_colors.html) [^matplotlib_colors].\n",
"- We can also change the line width or weight using the `lw`.\n",
"- The `ylim` parameter can be used to define the y-axis limits."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Set plot line width\n",
"line_width = 1.5\n",
"\n",
"# Plot data\n",
"winter_temps.plot(ax=ax11, c=\"blue\", lw=line_width, ylim=[min_temp, max_temp])\n",
"spring_temps.plot(ax=ax12, c=\"orange\", lw=line_width, ylim=[min_temp, max_temp])\n",
"summer_temps.plot(ax=ax21, c=\"green\", lw=line_width, ylim=[min_temp, max_temp])\n",
"autumn_temps.plot(ax=ax22, c=\"brown\", lw=line_width, ylim=[min_temp, max_temp])\n",
"\n",
"# Display figure\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.15**. Seasonal temperatures for 2012-2013 plotted in a 2x2 panel._\n",
"\n",
"Great, now we have all the plots in same figure! However, we can see that there are some problems with our *x*-axis labels and a few other missing plot items we should add. \n",
"\n",
"Let's re-create the plot and make some improvements. In this version of the plot we will:\n",
"\n",
"- Modify the x- and y-axis labels using the `xlabel` and `ylabel` parameters in the `plot()` function.\n",
"- Enable grid lines on the plot using the `grid=True` parameter for the `plot()` function.\n",
"- Add a figure title using the `fig.suptitle()` function.\n",
"- Rotate the x-axis labels using the `plt.setp()` function.\n",
"- Add a text label for each plot panel using the `text()` function."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Create the new figure and subplots\n",
"fig, axs = plt.subplots(nrows=2, ncols=2, figsize=(12, 8))\n",
"\n",
"# Rename the axes for ease of use\n",
"ax11 = axs[0][0]\n",
"ax12 = axs[0][1]\n",
"ax21 = axs[1][0]\n",
"ax22 = axs[1][1]\n",
"\n",
"# Set plot line width\n",
"line_width = 1.5\n",
"\n",
"# Plot data\n",
"winter_temps.plot(\n",
" ax=ax11,\n",
" c=\"blue\",\n",
" lw=line_width,\n",
" ylim=[min_temp, max_temp],\n",
" ylabel=\"Temperature [°C]\",\n",
" grid=True,\n",
")\n",
"spring_temps.plot(\n",
" ax=ax12, c=\"orange\", lw=line_width, ylim=[min_temp, max_temp], grid=True\n",
")\n",
"summer_temps.plot(\n",
" ax=ax21,\n",
" c=\"green\",\n",
" lw=line_width,\n",
" ylim=[min_temp, max_temp],\n",
" xlabel=\"Date\",\n",
" ylabel=\"Temperature [°C]\",\n",
" grid=True,\n",
")\n",
"autumn_temps.plot(\n",
" ax=ax22,\n",
" c=\"brown\",\n",
" lw=line_width,\n",
" ylim=[min_temp, max_temp],\n",
" xlabel=\"Date\",\n",
" grid=True,\n",
")\n",
"\n",
"# Set figure title\n",
"fig.suptitle(\"2012-2013 Seasonal temperature observations - Helsinki-Vantaa airport\")\n",
"\n",
"# Rotate the x-axis labels so they don't overlap\n",
"plt.setp(ax11.xaxis.get_majorticklabels(), rotation=20)\n",
"plt.setp(ax12.xaxis.get_majorticklabels(), rotation=20)\n",
"plt.setp(ax21.xaxis.get_majorticklabels(), rotation=20)\n",
"plt.setp(ax22.xaxis.get_majorticklabels(), rotation=20)\n",
"\n",
"# Season label text\n",
"ax11.text(pd.to_datetime(\"20130215\"), -25, \"Winter\")\n",
"ax12.text(pd.to_datetime(\"20130515\"), -25, \"Spring\")\n",
"ax21.text(pd.to_datetime(\"20130815\"), -25, \"Summer\")\n",
"ax22.text(pd.to_datetime(\"20131115\"), -25, \"Autumn\")\n",
"\n",
"# Display figure\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.16**. Seasonal temperatures for 2012-2013 plotted with season names and gridlines visible._\n",
"\n",
"\n",
"The new version of the figure essentially conveys the same information as the first version, but the additional plot items help to make it easier to see the plot values and immediately understand the data being presented. Not bad."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Question 4.3\n",
"\n",
"Visualize only the winter and summer temperatures in a 1x2 panel figure. Save the resulting figure as a .png file."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# Use this cell to enter your solution."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"tags": [
"hide-cell"
]
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Solution\n",
"\n",
"# Create the new figure and subplots\n",
"fig, axs = plt.subplots(nrows=1, ncols=2, figsize=(12, 5))\n",
"\n",
"# Rename the axes for ease of use\n",
"ax1 = axs[0]\n",
"ax2 = axs[1]\n",
"\n",
"# Set plot line width\n",
"line_width = 1.5\n",
"\n",
"# Plot data\n",
"winter_temps.plot(\n",
" ax=ax1,\n",
" c=\"blue\",\n",
" lw=line_width,\n",
" ylim=[min_temp, max_temp],\n",
" xlabel=\"Date\",\n",
" ylabel=\"Temperature [°C]\",\n",
" grid=True,\n",
")\n",
"summer_temps.plot(\n",
" ax=ax2,\n",
" c=\"green\",\n",
" lw=line_width,\n",
" ylim=[min_temp, max_temp],\n",
" xlabel=\"Date\",\n",
" grid=True,\n",
")\n",
"\n",
"# Set figure title\n",
"fig.suptitle(\n",
" \"2012-2013 Winter and summer temperature observations - Helsinki-Vantaa airport\"\n",
")\n",
"\n",
"# Rotate the x-axis labels so they don't overlap\n",
"plt.setp(ax1.xaxis.get_majorticklabels(), rotation=20)\n",
"plt.setp(ax2.xaxis.get_majorticklabels(), rotation=20)\n",
"\n",
"# Season label text\n",
"ax1.text(pd.to_datetime(\"20130215\"), -25, \"Winter\")\n",
"ax2.text(pd.to_datetime(\"20130815\"), -25, \"Summer\")\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_**Figure 4.17**. Winter and Summer teperatures for 2012-2013 plotted in a 1x2 panel._"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Footnotes\n",
"\n",
"[^matplotlib_colors]: "
]
}
],
"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": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}