{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Building good graphics with matplotlib ain't easy! The best route is to create a somewhat unattractive visualization with matplotlib, then export it to PDF and open it up in Illustrator. But if you want to get it to a good place first? \n",
"\n",
"**Let's do that.**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Our data\n",
"\n",
"We're going to be working with [OECD data](https://data.oecd.org/), specifically [unemployment](https://data.oecd.org/unemp/unemployment-rate.htm) from 1980 to the present for Japan, Australia, USA, and Germany. I've edited the data so it looks a little cleaner and is a little easier to work with."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" country | \n",
" year | \n",
" unemployment | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" Australia | \n",
" 1980 | \n",
" 6.106246 | \n",
"
\n",
" \n",
" 1 | \n",
" Australia | \n",
" 1981 | \n",
" 5.783571 | \n",
"
\n",
" \n",
" 2 | \n",
" Australia | \n",
" 1982 | \n",
" 7.156132 | \n",
"
\n",
" \n",
" 3 | \n",
" Australia | \n",
" 1983 | \n",
" 9.961594 | \n",
"
\n",
" \n",
" 4 | \n",
" Australia | \n",
" 1984 | \n",
" 8.989680 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" country year unemployment\n",
"0 Australia 1980 6.106246\n",
"1 Australia 1981 5.783571\n",
"2 Australia 1982 7.156132\n",
"3 Australia 1983 9.961594\n",
"4 Australia 1984 8.989680"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(\"unemployment.csv\")\n",
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## pandas vs matplotlib\n",
"\n",
"Under the hood, pandas plots graphs with the `matplotlib` library. This is usually pretty convenient since it allows you to just `.plot` your graphs, but since matplotlib is *kind of* a train wreck pandas inherits that confusion.\n",
"\n",
"## Which `.plot` do I use?\n",
"\n",
"When you use `.plot` on a dataframe, you *sometimes* pass things to it and *sometimes* you don't.\n",
"\n",
"* `.plot` plots the index against every column\n",
"* `.plot(x='col1')` plots against a single specific column\n",
"* `.plot(x='col1', y='col2')` plots one specific column against another specific column\n",
"\n",
"Let's see when you might use one or the other!\n",
"\n",
"## Plotting Version 1: `.plot` plots the index against every column\n",
"\n",
"Let's look at a slice somewhere in the middle of our data. It's nothing very exciting, just countries and years and unemployment rates."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" country | \n",
" year | \n",
" unemployment | \n",
"
\n",
" \n",
" \n",
" \n",
" 35 | \n",
" Australia | \n",
" 2015 | \n",
" 6.063658 | \n",
"
\n",
" \n",
" 36 | \n",
" Australia | \n",
" 2016 | \n",
" 5.723454 | \n",
"
\n",
" \n",
" 37 | \n",
" USA | \n",
" 1980 | \n",
" 7.141667 | \n",
"
\n",
" \n",
" 38 | \n",
" USA | \n",
" 1981 | \n",
" 7.600000 | \n",
"
\n",
" \n",
" 39 | \n",
" USA | \n",
" 1982 | \n",
" 9.708333 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" country year unemployment\n",
"35 Australia 2015 6.063658\n",
"36 Australia 2016 5.723454\n",
"37 USA 1980 7.141667\n",
"38 USA 1981 7.600000\n",
"39 USA 1982 9.708333"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[35:40]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"See the column on the far left? That's the **index**. In this case, it's just the number of the row. First row is index `0`, 40th row is index `39`, etc.\n",
"\n",
"If we graph using just `.plot`, it's going to use this row number as the X axis on our chart. What will that look like?"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAEACAYAAAC9Gb03AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRsLI5zcAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Weird, right? The x axis is just \"hey, this is the 20th row, this is the 40th row, this is the 140th row\" - nothing actually important. See where the little dips are in the blue line? The first drop is the data we just looked at: index 36 is Australia data for 2016, then index 37 is USA data for 1980. That's why it drops!\n",
"\n",
"It's also plotting both the unemployment *and* the year. What a wreck!\n",
"\n",
"The major use cases for `.plot()` is when you have a meaningful index, which usually happens in two situations:\n",
"\n",
"* You've just done a `.value_counts()` or a `.groupby()`\n",
"* You've used `.set_index`, probably with dates\n",
"\n",
"Let's take a look at how that works."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"country\n",
"Australia 6.954607\n",
"Germany 6.926593\n",
"Japan 3.515090\n",
"USA 6.379730\n",
"Name: unemployment, dtype: float64"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.groupby(\"country\")['unemployment'].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When you do a groupby and summarize a column, you get a **Series**, not a dataframe. The important thing is to look at the data on the left - the index - and realize that this time it means something! It's a country's name! And in terms of \"other\" rows, there's only one - the average unemployment rate. So if we plot it..."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAEzCAYAAADtp8JsAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAFS9JREFUeJzt3X20bHV93/H353JRUBS1QW4UhWqDllgfopEE0+UARq2p\nqEkNXkPJItRkLZNibB5Ma5dc0jzU1Uabmi5t0KABauIDSaMr1AgyJviEERAKl9RGfEgVYhANSiSA\n3/4x+3DPvdx7z5xzZs7+7Zn3a61Zs2fPPpvv/Bw/d89v7/37paqQJLVlW98FSJLuz3CWpAYZzpLU\nIMNZkhpkOEtSgwxnSWrQmuGc5Pgk1yS5unv+epJztqI4SVpWWc91zkm2AX8FnFhVX5xbVZK05Nbb\nrfEc4C8NZkmar/WG8+nAO+dRiCRpj6m7NZIcCnwJOKGqvjLXqiRpyW1fx7b/DPjUgYI5iYN0SNI6\nVVX2t3493Ro7WaNLo6pm+jj66GPX8xl7cfTRx878cw/lce655/ZewyI9bM/la8+DmSqckxzO5GTg\nJTPIs6ndeuvngZrh49wZ76+6Gtu3Y8dxJJnp47zzzpv5PnfsOK7vppKaMFU4V9XfVdVRVXXHvAvS\nfMz+H7rl/sdOmrclu0Nw1HcBC2bUdwELZTQa9V3CQhl6e67rJpSD7iipWe1r1T6ZHFG1LGv2HbVg\nGG0JQ2lPaRaSUDM4IShJ2iKGsyQ1yHCWpAYZzpLUIMNZkhpkOEtSgwxnSWqQ4SxJDTKcJalBhrMk\nNchwlqQGGc6S1CDDWZIaZDhL6t08JoMY+kQQDhm6acMY4nIYbQlDaU/N1jC+n7P/bjpkqCQNjOEs\nSQ0ynCWpQYazJDXIcJakBhnOktSgqcI5yZFJ3p1kd5Ibkpw478IkaZltn3K73wT+uKpemmQ78KA5\n1iRJS2/Nm1CSPAS4tqoev8Z23oTSsGG0JQylPTVbw/h+tncTyuOAv0lyQZKrk/x2ksNnWqEkaS/T\ndGtsB74H+Omq+vMk/wX4JeDcfTfctWvXfcuj0YjRaDSbKiVpAYzHY8bj8VTbTtOtcTTwsap6XPf6\nB4DXVNUL99nObo2GDaMtYSjtqdkaxvezsW6NqroV+GKS47tVpwI3zrA+SdI+pr1a4xzg4iSHAp8F\nzppfSZIkhwzdtGH8DB9GW8JQ2lOzNYzvZ2PdGpKkrWc4S1KDDGdJapDhLEkNMpwlqUGGsyQ1yHCW\npAYZzpLUIMNZkhpkOEtSgwxnSWqQ4SxJDTKcJalBhrMkNchwlqQGGc6S1CDDWZIaZDhLUoMMZ0lq\nkOEsSQ0ynCWpQYazJDXIcJakBm2fZqMknwO+DnwbuLuqnjnPoiRp2U0VzkxCeVRVt8+zGEnSxLTd\nGlnHtpKkTZo2cAv4QJJPJnnFPAuSJE3frXFSVd2S5Cjgg0l2V9WV+260a9eu+5ZHoxGj0WgmRUrS\nIhiPx4zH46m2TVWta+dJzgXuqKo37LO+1ruvKf5bTA7aWxZm/bnnYRhtCUNpT83WML6fs/9uJqGq\nsr/31uzWSPKgJEd0yw8Gngv875lWKEnayzTdGkcDf5Ckuu0vrqo/mW9ZkrTc1t2tccAd2a3RtGG0\nJQylPTVbw/h+NtatIUnaeoazJDXIcJakBhnOktQgw1mSGmQ4S1KDDGdJapDhLEkNMpwlqUGGsyQ1\nyHCWpAYZzpLUIMNZkhpkOEtSgwxnSWqQ4SxJDTKcJalBhrMkNchwlqQGGc6S1CDDWZIaZDhLUoMM\nZ0lq0NThnGRbkquT/NE8C5Ikre/I+VXAjfMqRJK0x1ThnOQY4AXAW+dbjiQJpj9yfiPwC0DNsRZJ\nUmf7Whsk+SHg1qq6NskIyIG23bVr133Lo9GI0Wi0+QolaUGMx2PG4/FU26bq4AfDSX4NOAO4Bzgc\neAhwSVWduc92tda+1isJ7R+sh1l/7nkYRlvCUNpTszWM7+fsv5tJqKr9HvCuGc777OjZwM9V1Wn7\nec9wbtgw2hKG0p6arWF8P7c2nL3OWZIatK4j54PuyCPnpg2jLWEo7anZGsb30yNnSVp6hrMkNchw\nlqQGGc6S1CDDWZIaZDhLUoMMZ0lqkOEsSQ0ynCWpQYazJDXIcJakBhnO0gbs2HEcSZp/7NhxXN9N\npQ1y4KNNG8ZAPcNoS7A9Z832nB0HPpKkpWc4S1KDDGdJapDhLEkNMpwlqUGGsyQ1yHCWpAYZzpLU\nIMNZkhpkOEtSg7avtUGSBwJ/Cjyg2/49VXXevAuTpGW2ZjhX1V1JTq6qO5McAnwkyaVVddUW1CdJ\nS2mqbo2qurNbfCCTQG99hBJJGrSpwjnJtiTXALcAH6yqT863LElabmt2awBU1beBpyV5KPCHSU6o\nqhv33W7Xrl33LY9GI0aj0YzKlKThG4/HjMfjqbZd93jOSV4HfKOq3rDPesdzbtgw2hJsz1mzPWen\nsfGck3xHkiO75cOB5wA3zbRCSdJepunW+E7gHUm2MQnz36+qP55vWZK03JymatP82Thbtuds2Z6z\n01i3hiRp6xnOktQgw1mSGmQ4S1KDDGdJapDhLEkNMpwlqUGGsyQ1yHCWpAYZzpLUIMNZkhpkOEtS\ngwxnSWqQ4SxJDTKcJalBhrMkNchwlqQGGc6S1CDDWZIaZDhLUoMMZ0lqkOEsSQ0ynCWpQWuGc5Jj\nknwoyY1Jrk9yzlYUJknLLFV18A2SHcCOqro2yRHAp4AXVdVN+2xXa+1r3cUlwGz3OXth1p97HobR\nlmB7zprtOTuzb8skVFX2996aR85VdUtVXdstfwPYDTx6phVKkvayrj7nJMcBTwU+MY9iJEkT26fd\nsOvSeA/wqu4I+n527dp13/JoNGI0Gm2yPElaHOPxmPF4PNW2a/Y5AyTZDrwfuLSqfvMA29jn3LBh\ntCXYnrNme85OY33Ond8BbjxQMEuSZmuaS+meBfwYcEqSa5JcneT58y9NkpbXVN0aU+3Ibo2mDaMt\nwfacNdtzdtrs1pAkbSHDWZIaZDhLUoMMZ0lqkOEsSQ0ynCWpQYazJDXIcJakBhnOktQgw1mSGmQ4\nS1KDDGdJapDhLEkNMpwlqUGGsyQ1yHCWpAYZzpLUIMNZkhpkOEtSgwxnSWqQ4SxJDTKcJalBhrMk\nNWjNcE7ytiS3JrluKwqSJE135HwB8Lx5FyJJ2mPNcK6qK4Hbt6AWSVLHPmdJatD2We5s165d9y2P\nRiNGo9Esdy9JgzYejxmPx1Ntm6pae6PkWOB9VfXkg2xT0+xrPZIAs93n7IVZf+55GEZbgu05a7bn\n7My+LZNQVdnfe9N2a6R7SJK2wDSX0v0P4KPA8Um+kOSs+ZclScttqm6NqXZkt0bThtGWYHvOmu05\nO212a0iStpDhLEkNMpwlqUGGsyQ1yHCWpAYZzpLUIMNZkhpkOEtSgwxnSWqQ4SxJDTKcJalBhrMk\nNchwlqQGGc6S1CDDWZIaZDhLUoMMZ0lqkOEsSQ0ynCWpQYazJDXIcJakBhnOktSgqcI5yfOT3JTk\n/yR5zbyLkqRlt2Y4J9kG/BbwPOC7gZ1JnjjvwuZj3HcBC2bcdwELZtx3AQtm3HcBmzLNkfMzgc9U\n1eer6m7g94AXzbeseRn3XcCCGfddwIIZ913Aghn3XcCmTBPOjwa+uOr1X3XrJElzMk04Zz/rataF\nSJL2SNXBczbJ9wG7qur53etfAqqqXr/Pdga2JK1TVe3vAHiqcD4E+AvgVODLwFXAzqraPesiJUkT\n29faoKruTfIzwJ8w6QZ5m8EsSfO15pGzJGnreYegJDXIcJakBhnOWpck/znJd/ddx9AleVaSD3ZD\nInw2yc1JPtt3XYsmyff2XcNGrXlCcOiSHAaczeTW88NW1lfVT/RW1LDdBPx2ku3ABcA7q+rrPdc0\nRG8DXg18Cri351oWSpITgJcBO4GvA8/ot6KNWfgTgknezSRQXg78MvBjwO6qelWvhQ1ckicAZzH5\nP8BHgPOr6op+qxqOJJ+oqhP7rmNRJDmWyXdxJ3APcCzwjKr6XJ91bcYyhPM1VfW0JNdV1ZOTHAp8\noKpO6bu2oequff/nTML5McC7gB8AvllVL+uztqFI8h+BQ4BLgLtW1lfV1b0VNVBJPgocyWTcn9+r\nqs8kubmq/mHPpW3KwndrAHd3z19L8iTgFuC4/soZtiRvAE4DLgd+raqu6t56fZK/6K+ywVk5al79\nk7sADxrW7yvAMcDRwFHAZ1iAISaW4cj5XwHvBZ7MpI/0COB1VfWWXgsbqCQ/weTo5M79vHek/c/q\nQ5IjgR9h0q3xj4CHAc9bdfAwOAsfzpq9JI9m0qd33y+vqvrT/ioapiQ/xP1PVP9yfxUthiRHA6cz\nOSn4mKp6TM8lbcjChnOSM6rqoiT/Zn/vV9UbtrqmRdD1lb4MuJE9VxlUVZ3WX1XDk+QtwIOAk4G3\nAv8CuKqqzu61sAWR5OHA14DHVtXn+65nIxa5z/nB3fNDeq1i8bwEeEJV3bXmljqYk7oT1NdV1XlJ\nfoPJyUGtU5LXAe+qqpuSPBD4X8BTmFy18XLAcG5JVf337vm8vmtZMJ8FDmXVFQbakL/rnu9M8ijg\nNmDQVxf06HTgP3TLP949HwUcD7wDuKyPojZrYcM5yX892PtVdc5W1bJg7gSuTXI5e18CZnuuz/uT\nPAz4T8DVTK4uOL/fkgbr72tP/+zzmJywvhfY3V06O0gLG85M7rzS7P1R99AmVNXKkd57k7wfOMwr\nXTbsru4y2VuZ9OH//Kr3Du+npM1b2BOCUsu6YQVeyeTmnQKuBN5cVd/qtbABSnIik+6Lo4A3VtWv\ndOtfAPzLqtrZZ30btfDhnOQo4DXACex9yZIX+29Aku8Cfp37t+fjeitqgJK8C7gDuKhbtRN4eFW9\ntL+qhqm7ImtlqqfqHn8DXFlVN/dW2CYtw6h0FwO7mZxsOQ/4HPDJPgsauAuANzM5E34y8LvAhb1W\nNExPqKqzq+qK7vGTTE5gaf0ewuTmsiO65YcyufPy0iSDHU5gGY6cP1VVT18ZW6Nb9+GqenbftQ3R\nqva8vqr+Sbfuz6rqn/Zd25AkeTvwlqr6ePf6RODHq+qVvRa2QJI8Arisqr6n71o2YpFPCK5YGVvj\ny90dWV9ich++NuZbSbYBn+nmlvx/wCN7rmmITgTOTPKF7vVjmVxdcD2Tm3qe3F9pi6GqvppkvzNb\nD8EyhPOvdPfd/xzwJiY/eV7db0mD9rNM7mw7h8m1paew59pSTe/5fRew6JKcAtzedx0btdDdGt3Q\nludU1Rv7rkXanySPZO8Tq184yObaj5VfG/usfgSTX8lnVtVNW1/V5i10OAMkuaKqTu67jkWR5BnA\na7n/wEf+DF+HJKcBvwE8CvhrJu25u6qcAmyduoH2Vyvgtqr6Zh/1zMoyhPOvMhmI+/eB+/7HclDz\njenGbP4F4Hrg2yvrhzq4TF+SfJpJl9Bl3WQQJwM7u6s2pKXocz6pe149FKODmm/cV6rKOwQ37+6q\nui3JtiTbquqKJK/vuyi1YxnC+eyq2mtW4yTeMLFx5yZ5K5OZUFaPreGIauvztSRHAH8GXJzkr5lc\nOy4By9GtcfW+1zmuXKvbV01DluQi4InADezp1ihnM1+fJA8CvsXkzrYzmFxFdHFVfbXXwtSMhT1y\nTvJEJrNMHJnkh1e99VBWnR3Xuj1l5eYTrV+SO7j/lQUr1+K+LslfAq+tqsu3tjK1ZmHDGXgCkxmi\nHwa8cNX6O4BX9FLRYvh4khOq6sa+Cxmiqjrg5A/dpZ9PYjLkwJO2rCg1aRm6Nb6/qj7Wdx2LIslu\n4PHAzUz6nIN3tM1Ukp9amSxCy2uRj5xXvCTJDUxmnliZvuZnq+qig/+ZDsA72+bMYBYsx5HztVX1\n1CQvAV7M5NbtK6rqKT2XNjjdmBrXVZU/uaU5W4YhQ1emqXkB8E7Phm9cVX0b+HSSx/Zdi7TolqFb\n431JbmLSrfHKbvB9Z5vYuO8EbkhyFXvfcXlafyVJi2fhuzUAkjwc+Nuqure7vvShVXVL33UNUZL9\njoNdVR/e6lqkRbbw4ZzkzP2tr6rf3epaFkU30Mx3VdVl3T92h1TVHX3XJS2SZejW+N5Vy4cBpzKZ\nit5w3oAkrwB+ksmQjI8HHg28hUm7SpqRhT9y3lc38P6F9pFuTJJrgWcCn6iqp3XrrveuQWm2luFq\njX3diRNpbsZdVfX3Ky+SbOf+tyNL2qSF79ZI8j72hMchwD8G3tVfRYP34ST/Djg8yQ8CrwTe13NN\n0sJZ+G6Nfa4uuIfJ7cY7q+qneypp0LobUc4Gntut+kBVvbXHkqSFtPDhDJDkqcDLgR9lMibEe6vq\nt/qtaliSvAg4pqr+W/f6KuAoJr9KfrGq3tNnfdKiWdhujSTHAy8DdgK3MZmmKs4nuGG/yKQ9VzwA\neDpwBHABYDhLM7Sw4QzcxGSWiRdW1f8FSPLqfksatAdU1RdXvb6yuxX+q0ke3FdR0qJa5Ks1fgS4\nBbgiyflJTmXPoOZav4evflFVP7Pq5VFbXIu08BY2nKvqD6rqdCZTKo2ZjEZ3dJI3J3nuQf9Y+/OJ\n7gaUvST5KeCqHuqRFtpSnBBckeQRwEuB06vK2bfXIckjgT9kMsD+1d3qpwMPBF5cVbf2VZu0iJYq\nnLV5SU5hMjcjwA1V9aE+65EWleEsSQ1a2D5nSRoyw1mSGmQ4S1KDDGctpSSvSnJY33VIB+IJQS2l\nJDcDT9/fhL9JtnWT2Uq98chZzUpyZpJPJ7kmyTuSPDbJZUmuTfLBJMd0212Q5IdX/d0d3fOzk1yR\n5N1Jdie5sFv/r4FHMbl79PKVv0lyXpKPAf8+ySWr9vecJO/dwo8uLfTYGhqwJCcA/xY4qapu7ybp\nfQfw9qq6KMlZwJuAl+znz1f/HHwqcAKTW/k/kuSkqnpTN87KqKpu77Z7MHBdVZ3b/fdvTPIPquo2\n4Czgd+bxOaUD8chZrToFeM9KeHbP3w+8s3v/QuBZU+znqqr6ck36764FjuvWh73HWrkHuGTV6wuB\nM7ppzb4PuHSDn0PaEI+c1apw/+mvDvT6HvY+0HjAquW7Vi3fy4G/89+qvU/AvJ3JDC93Ae+2D1pb\nzSNntepy4Ee78VBWxkX5KJPxuQHOAK7slj8HPKPb7sXAoVPs/2+Bh656vdeIhVX1ZeBLwGuZBLW0\npTxyVpOq6sYkv8pkzsJ7gGuAc4ALkvw88BUmfcEA5wP/M8nHgQ8B3zzQblctnw9cmuRLVXUq+5+k\n9mLgO6rqps1/Iml9vJROOoAkbwKurqoL+q5Fy8dwlvYjyZ8D3wB+sKru7rseLR/DWZIa5AlBSWqQ\n4SxJDTKcJalBhrMkNchwlqQGGc6S1KD/D25FXuvtB2osAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.groupby(\"country\")['unemployment'].mean().plot(kind='bar')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It's amazingly ugly, but at least it makes sense this time!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plotting Version 2: `.plot(x='col1')` plots against a single specific column\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I... am going to skip this and tell you to just use version 3."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plotting Version 3: `.plot(x='col1', y='col2')` plots one specific column against another specific column"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We know what we want, though - we want the **year on the x axis and the unemployment rate on the y axis.** If we give `.plot` both an `x=` and a `y=` we'll be able to take care of that, right?"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEPCAYAAAC0r/QVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsnXd4FFUXxt8BRECK9I4gYEU6Ih8gCAoq0o10EBURERFR\niiC9CaI0pUsHASnSO6EjLVSBUBMIhB5Ib3u+P16XtC2zuzNbwvyeZ59kd2fuvbs7c+65p11FRGBg\nYGBg4Jtk8PQADAwMDAycxxDiBgYGBj6MIcQNDAwMfBhDiBsYGBj4MIYQNzAwMPBhDCFuYGBg4MPY\nFeKKosxWFOWWoignk702VlGUs4qiHFcUZYWiKDn1HaaBgYGBgSXUaOJzADRM9doWAK+KSEUAFwD0\n13pgBgYGBgb2sSvERWQvgAepXtsmIqb/nh4EUEyHsRkYGBgY2EELm/gnADZq0I6BgYGBgYO4JMQV\nRRkAIF5EFms0HgMDAwMDB8jk7ImKonQC8D6AenaOM4qzGBgYGDiBiCj2jlGriSv/PfhEUd4F0AdA\nExGJVTEQn3sMHjzY42N40sbuq+P25bH76rh9eexqx60WNSGGiwHsB/CCoijBiqJ0BjAZQHYAWxVF\nOaYoyu+qezQwMDAw0Ay75hQRaWvh5Tk6jMXAwMDAwEGMjE0r1K1b19NDcBpfHbuvjhvw3bH76rgB\n3x271uNWHLG9ONWBoojefRgYGBikNxRFgWjo2DQwMDAw8EIMIW5gYGDgwxhC3MDAwMCHMYS4gYGB\ngQ9jCHEDAwMDH8YQ4gYGBgY+jCHEDQwMDHwYQ4gbGBgY+DCGEDcwMDDwYQwhbmBgYODDGELcwMDA\nwIcxhLiBwRPM+fOeHoGBqxhC3MDgCeX0aeCll4Bz5zw9EgNXMIS4gcETypo1QK5cwC+/eHokBq5g\nCHEDgyeUtWuBqVOB5cuBW7c8PRoDZzGEuIHBE0hoKM0oLVsCrVsDU6Z4ekQGzmIIcQODJ5D164EG\nDYDMmYFvvwWmTQMiIz09KgNnMIS4gcETyNq1QJMm/L9sWaB2bWCOsXOuT2Jsz2bgFFFRFATLlwM9\ne1IIGPgG0dFAwYLA1atAnjx87cABoF07IDAQyGR3+3QDd2Bsz2agOfHxwMaNQIcOQJEi1NyyZwcm\nT/b0yAwcYft2oHLlJAEOADVqAIULA6tWeW5cBs5hzLkGNjGZqKUtXkytu0wZoG1b4Oefqc09eACU\nLAmEhQHPPuvp0RqoIbkpJTnffw+MGgV8+CGg2NX/DLwFQxM3sMqoUcDzzwNdulDzPngQ2L8f+Oor\nCnAAyJ0bqF8fWLHCs2M1UIfJRCHeuHHa95o04WS8e7f7x2XgPIZN3MAip08DDRsCGzYA5cvb1sxW\nrQImTgT8/d02PAMnOXwY6NgROHvW8vvTpwPr1lHQG3gWwyZu4BILFgDt2wMVKthfWr//PnDqFBAc\n7J6xGTiPNVOKmY4dgUOHgH//dd+YDFzDEOIGaTCZgEWLKMTV8PTTgJ8fzzHwbtassWxKMZM1K9C9\nu5GK70sYQtwgDf7+QL58wGuvqT+nfXtq74blzHsJDgZCQhiJYosvvwRWrgRu3nTPuAxcwxDiBmlY\nuJBhhI5QsybjjwMC9BmTgeusXUvTV8aMto/Ll48RSEYqvm9gCHGDFERF0VHZpo1j5ykKtfGFC/UZ\nl4HrrFlj2x6enF69gBkzgIgIfcdk4DqGEDdIwZo1QLVqDCl0lPbtgSVLgIQE7cdl4BqPHjHev0ED\ndceXLg3UrQv88YeuwzLQAEOIG6Rg4UL1Ds3UvPgiULw4MwINvIstW4D//Q/IkUP9Od99B/z6qzEp\nezuGEDd4zO3bwN69QIsWzrfRoQMdnAbehSOmFDPVq3NSNhK5vBsj2cfgMZMnA//845pd+/Zt4IUX\ngOvXWVfFwPMkJACFCtHpXLy4Y+euXQsMHcokISMV370YyT4GDmNO8HGFAgWAWrWMQkrexIEDFN6O\nCnAAaNQICA9nyQUD78QQ4gYAuOv5tWvA22+73laHDkaUijfhjCnFTIYMQLNmwKZN2o7JQDvsCnFF\nUWYrinJLUZSTyV7LrSjKFkVRziuKsllRlFz6DtNAbxYuZFihFrWkmzRh6raRLOIdWCt4pZb69Q1n\ntTejRhOfA6Bhqtf6AdgmIi8C2AGgv9YDM3AfJpNrUSmpyZoVaN6c5WsNPMv58zSHVK7sfBu1agHH\njxsx496KXSEuInsBPEj1clMA8/77fx6AZhqPy8CN7N8PZMsGVKqkXZtG4o93YNbCM7hgOM2WDaha\n1ShR6604+9MWEJFbACAioQDyazckA3ezYAHt2FpGH9StC9y9y5K2Bp7DVVOKGcOk4r24ZWefIUOG\nPP6/bt26qFu3ri79nDgBFC3K2g8G6oiNBf76S/uaJxkysP7GwoXAmDHatm2gjnv3aAapV8/1turX\nZ2EsA/3w9/eHvxNF+VXFiSuK8hyAtSJS/r/nZwHUFZFbiqIUArBTRF62cq7b4sTffZdZgxMnuqW7\ndMHKlYwP37lT+7ZPnwbeew8ICnJtOW/gHAsXMlFHi3DP+HgqRxcvAvmNdbdb0DpOXPnvYWYNgI//\n+78TgL8dGp1OBAYCc+fSkWOgDi1iw61RrhyQNy+wa5c+7RvYxl7tcEd46imgdm19JnsD11ATYrgY\nwH4ALyiKEqwoSmcAYwC8oyjKeQBv//fco8TGAjducOk4b5794w2A+/eBHTu4Ma5eeCINPy6OZXGf\nZOLiWC+lUSPt2jTs4t5Jukm7//dfhrXNmgV89hn3EDSW8LaZNo2a1dKl+vVx4wbw6qv8mzWrfv0k\n5+uvgWPHuAKwVzs7PXLrFjBpEifoAwe0a/fUKd5jFy9q16aBdZ64tPvAQNbsqFWLIVFbtnh6RN6P\nlrHh1ihShKVt16zRtx8zDx5Q84+NBSZMcE+f3kBcHP0bTZoAL73ESXPWLG37KFeOpsqgIG3bNXAN\nnxDiItzA9dtvgWXLmB6eWrk3C3FFoSY2ebJnxuorXL7M7+zdd/Xvq3179+2/OXs2d69ZuhQYPTp9\nb/grwqiir79mVNakSUDLlrw/5szhCkhLFIXmSsOk4l34hBC/fh3YsIHFlRYtYuJBsWK8YH/+meVT\nT5ygEAeYPn74MHDhgmfH7c0sWgS0akWHld40bUrTxsOH+vaTkMAtxXr2BJ5/HhgxAvj44/RXD/ve\nPdb5rliR5o08eVh90t8f6NRJ3+qRhl3c+/AJm/jff9N+u3Ejn4sAV6/S3nfwIB+HD/O9U6e47Pvh\nByAy0gg3tIQIQzEXLGDNaHfQpAng5+f43p2OsGIFd2nft4/PRYCGDYE6dYABA/Tr1928+SZQsCDj\ntuvUca/v58oVbi5x44bnStOKcBJ78UVtHbfehlqbOERE1we7cI0ffxQZMMD2MTlzijRuLDJ4MJ8H\nB4vkzi3y6JHL3ac7jh4VKVNGxGRyX5/z5/P30ZNatUSWLUv5WnCwSL58IseP69u3uwgIEClWTCQ+\n3nNjKFVK5PRpz/QdHS3Srp3Iq6+KFCokcu+eZ8bhDv6TnXZlrE+YU44dA6pUsf7+w4dAYiLt5keP\n8rXixVlW1Qg3TMvx49Sm3KlJNWmir0nl6FE63Jo3T/l68eLAuHG8NuLi9OnbnUyZAnTrpk21SWfx\nlEnl1i3a5OPiWCWzZUugb1/3j8Pb8AkhfvSo7SpsFy4AZcvSVm4W4kCSg9Nk0n+MvsS5c4xgcCe5\ncnHpr1eUysSJQI8eloVbp05AiRLAsGH69O0u7t2jyeizzzw7Dk8I8VOnaPp7+23gzz8ZgTZyJH1l\ne/a4dyzehtcL8Rs3mPJbooT1Y8yRKc89x9Aycx3rmjWNcENLnD3rfiEO0Ca+fLn27d68yUJP1oSb\nogAzZgAzZyb5TnyRP/7giqZAAc+Oo149rqrc5TBev54Tx6hRnIjNPoBcuTh5d+2aPlZZzuL1QvzY\nMWrhtpb+ycMLq1RJ0sbN4YaTJrlnrL6CJzRxQD+TytSpjEjKndv6MYUL84bv1Mk3szkTE4Hffwe+\n+srTI+EkUqJEylWvHpgdmF26MLihbdu0x7RsyUikceP0HYs34/VC/OhR2/ZwIEmIAymFOMCb+8gR\nI9zQTGws44jLlHF/33qYVGJigOnTOVnbo1UrRi79+KN2/buL9esZkVKtmqdHQvQ2qcTFUcOeM4dR\naDVqWD5OUegn+OWXJzeT1OuFuD2nJmBbiGfJwpl8yhT9xuhLXLwIlCzpnvhwS3z0kbYmlcWL+Zur\nWVkoCrXZxYuZW+BLTJ7sHVq4GT2F+P37TEK7eZPhos89Z/v4kiWB/v3p8HVTwVTvQk0IiysPuBhi\nWLSoyKVL1t83mURy5EgKNbp8WaRIkZTHXLvGcMOHD10aSrpg+XKRpk09139YGMNBw8Jcb8tkEilf\nXmTzZsfOW7VKpHRpkYgI18fgDv79V6RgQZGYGE+PJImHD0WyZxeJitK+7Vq1RHr1EklIUH9OXJxI\nhQoiCxdqPx5PgfQQYnjrFhN2SpWyfczTTzNrDeCsHBMDhIYmHVOsmBFuaMZT9nAzWppU/P3p9H7n\nHcfOa9aMIZb9+rk+Bnfw229cTT79tKdHkkTOnMBrr3FrPy0R4Up62DDHipc99RTNat99R03+ScKr\nhbgjTk0zisJzUjtdvv6aJpUnPdzQ00Ic0M6kMmECU+ydiXefOJH1Vby9tsqjRzT/fPGFp0eSlvr1\ngW3btG3z7l1Wu3SmdED16k9m7LhXC3FHnZpmUtvFAYYbPvOMEW547hzwssU9mNxH48auR6lcukQt\n0Nk0/ty5gT59gIEDnR+DO5g3j6vIokU9PZK06GEXDwqybwO3xZMYO+7VQtysidtCrRBXFCaDPMnh\nhiLA+fOsOeFJtDCpTJ7MuPBs2Zxvo3t3Zv4dOuR8G3piMnH12KOHp0dimRo1mHMQFqZdm0FBtnNC\n7PEkxo57tRDXUhMHksINAwO1G6Mvcf06l6nPPuvpkbhmUnn0CJg/n0LYFbJmBQYPZmSDN7JtG6Or\natXy9Egs8/TTFORO7O1rleBg1zRx4MmLHfdaIX73Lmf40qVtH2dJiJcqBURF0emZHHO44ZNa2dAb\n7OFmGjfmze+MSeWPP1idsFgx18fRuTPj5rW27WqBWQv3VLVANWhtUnFVEweevNhxrxXix44BlSrZ\nLrOZmMjNDVInrlhzbgJ0hC1bRoH2pOFNQjxXLqBuXcdNKomJNIn17KnNODJlYt3x/v29K8b48mXa\n/C1lKXoTWgtxLTRxICl2XKvrxJvxWiGuxpQSFMQsNkt7N1ozqRQowNCy3r21Gacv4Q1OzeQ4Y1JZ\nu5a/4RtvaDeODz/k5LBypXZtusrUqVwluGLzdweVKjGc98YNbdrTQhM306MHN4s5dkyb9rwVrxXi\nzjo1zVgT4gB/3MBAYNMm18boa3iTJg44blIRoZ3zm2+0HUeGDNzKbcAA79gFKCqK6ebdunl6JPbJ\nmJErqh07tGlPK00coM3+22+BMWO0ac9b8Voh7qxT04wtIZ45MzB+PH/g+HjXxulLeKp6oTVy5QLe\neku9SWXFCiZ/+flpP5YGDYBChegw9TSLFzMZ6fnnPT0SdWhlUomMBCIitK3S2KULsHNn+g5m8Eoh\nfv8+cOeOdQFtxpYQf/55XhC3b1t+v3Fjxt5Om+baWH2Fhw/50MIZqCVqy9PGxDCu+5dfHMvkU4ui\nUBsfMoR9eQoROuW8qU6KPcxC3FWfwrVr3MRDS0dujhzcxm7sWO3a9Da8UogHBHATWHt7B9oS4rac\nm+b3f/0VGD6cxfbTO+b4cHfux6gGtSaVSZOY5l2vnn5jqVGDNt6pU/Xrwx5793ISefttz43BUV58\nkT4FVyNBXE30scbXX9PfERKifdvegJfd0kSNKQWgELeVuGLLpAKwLKmfH7Wv9I63OTXNqDGp3L5N\nTcodcb8jR9KG+uiR/n1ZYsoUxr9722RrC0XRxqQSHKydUzM5efOyjvwvv2jftjfglZeKGqdmdDTj\nwG3N3PaEOAAMHcrtnry9hoareJtTMzn2TCqDBwPt29s3r2lBuXKMQffEDX/xIgVhp07u79tVGjUC\nVq1yrQ29NHGA/q85c9LnqtsrhbgaTfzSJSb12LKPqhHi+fIxKuHbb70rTlhrvM2pmRxbJpXTp+nQ\nHDTIfeMZOpRp/XfuuK9PgJX7vv6aFQJ9jSZNuPWdKyYLLcMLU1O8OKtXpsd9BbxOiD98yGLw9up7\n2LKHmyldmstiezdj9+7A1assnJNe8WZN3JpJRYTx/AMHJpUadgelSjHJZtQo9/V57hxDXrUOn3QX\nWbMCLVowssZZtAwvtETfvizrGxmpXx+ewOuEeEAAUL685V3Lk6NGiNtzbpp56ikun7/9Nn0WzYmP\nB65cAcqW9fRIrOPnx/A+f3+aVn7/nY7GLVtY8bB+fV4XxYoBTZsCS5boezMOHMjxBAXp10dyhg4F\nevXyTS3cTMeOrLro7IpWT00coGL45pvcMDs94XVC3BGnphobqRqTCgC8/z7DEn/7zf6xvsblyxR+\nWbJ4eiTWadIECA+n/XvpUvpF/vmHGz58+CFTqOfPZ4nRli35f5EiQOvWwOrV3DtUSwoWZLLN0KHa\ntmuJ06eZLOOt1QrVUqsWE5WOH3f83MREZn3qHQLbrx9zRNKVsqZm+x9XHnBwe7a2bUX++MP+cTVr\niuzaZf+4JUtEmjdX1/eZMyL58oncuaPueF9h9WqRRo081//p0yLTpjm23dbkySL163MLNmvcuSMy\ndapInTrcfu/jj0U2beJWXVoQFiaSP7/I8ePatGeNli1Fxo3Ttw93MWiQyDffOH5ecLBI4cLaj8cS\nb7+tTsZ4Gqjcns3rhPiLL4qcOGH/uPz5RW7etH9cYKBIiRLq++/RQ6RbN/XH+wKjR4v07u2Zvu/d\nEylVinthvvEG94u0x/37IgUKqLsOzFy/LvLrryLVq/PamDPH6SGnYOZMkddfd2wCcoSAAJFChUQi\nI/Vp391cuMDfztGJdO9eXh/uYPt2yhm9flOtUCvEvcqcEh7OrC178cwPHjAhomBB+22WLk1n6d27\n6sYwZAjw11/AqVPqjvcFPOXUTEwE2rUDmjenr6N9e6B2bcZh26pRMmIE7d7ly6vvq2hROgUPHqQd\n/bvveC25yief0Az1+++ut2WJwYO5xPf2QldqKVOGj82bHTtPb3t4ct56i8701avd05/eeJUQP36c\ncbpPPWX7uAsXaA9Xk56bIQOz8NTYxQFGQQwaxFRdrSqzeRpPCfFhwxjP/9NP/B26d2cY2rZtdFqe\nPp32nAsX6BwbNsz5fitWZNp6r17Ot2EmQwZuwDtsmDaTQnKOHOF12bWrtu16mo4dHa9Bo3dkSnIU\nhT6W0aPTR1ixVwlxrZ2aZtQ6N8188QXPKVeOmuThw+rP9TZEPJOtuW4dN29YujRlpFGpUsDWrcDn\nn1MjGj48ZRGyPn0YVliokGv99+1LpWDjRtfaATgB9ujBiUHLm37QIOCHH7zb4ewMH31ETfzBA/Xn\n6JnoY4kmTeiE1XqPUE/gkhBXFKWXoiinFUU5qSjKIkVRMrvSnppMTUB/IZ4pE3dSv3yZ4/Hz40bL\ny5d7R6lSRwgN5comb1739XnxIs0Qy5ZZNnkpCqvLHTvGjQ+qVaO5ZedO/tVCg86alQk7PXpoU9Cq\nb19ed65mJZo5cAA4cwb49FNt2vMmcudmVUhHasXrlXJvjQwZ+JuOHu2+PnVDjeHc0gNAEQCXAWT+\n7/lSAB0tHKfakP/KKyLHjtk/rlUrkUWLVDcr58+LPPec+uNTEx8v8tdfIrVqiRQvLvLTT3TYqSEx\n0XaEhd7s2MFxu4vISDoxp0xRd7zJRCdk/vyMTvjzT23H07KlyJAh2rS1e7dI0aKMWnGVd94RmTHD\n9Xa8lTVrGEGmlldfdcyRrQVxcQx6+Ocf9/arFqh0bCri5PpQUZQiAA4AqAggHMAqABNFZFuq40RN\nH5GRQP783Fczsx19vnJlYMYMoGpVdWM1magdXL7sukZ65Aj36Fy3DmjVinGtYWFcOpr/Jv//0SPa\n1z2V7jt1KjVedyQ4iAAdOlDLmTfPsZKiN25Qc/v6a21LkV67Rp/IwYNpt/Fzhq5dWerBFUfnnj2s\nj3L+vH3/j68SH09n84ED9vfJFWGS07Vr7t/Ee/JkxuhrtcLSEkVRICJ27wanhfh/nXwNYCSAKABb\nRKSDhWNUCfH9+3kDHzli+zgR1ggOCaGHWS1169L+2KCB+nNscfMmC+pERHCCePZZ/k39f2IiTT8n\nTrB+g7vp2ZPLVHdsRzdlCjBrFn9Lb4q2GDeON+qGDa5PEGFhwKuv0lRUs6Zzbbz1Fp1/nTu7NhZv\np2dP3gP2qoQ+eMA9MZ3ZNNtVoqI4yfz9N/D66+7v3xZqhbgr5pRnAWwHkAdARlATb2vhOFVLh0mT\nRLp0sX9cSIhIwYKqmkzBt9+KjBrl+Hla0Lu3SM+enum7QQOR9ev172fvXsYHX7yof1+OEhdHU92K\nFdq0t2wZ24uNdfzc7dtFypShiS69c+QIcwTsmRMDAkTKlXPPmCwxb55I1areFzcOleYUOxVKbPI2\ngMsicv+/WWMlgP8BSFMCZ0iyqbhu3bqoW7dumsaOHVO3+a2jTk0zVap4biPcb79lpMuAATQZuRN3\nVC8MDaVpac4c+0tnT/DUUzQrtW/PlVj27K619+GHDKEbO5Y1VtQiwoiUwYPt1wZKD1SuTAfzvn1M\nybeGO8MLLdGhA82Ns2Z5NtzT398f/v7+jp+oRtJbegB4HcApAFkAKADmAuhu4ThVs85rr4kcPmz/\nuOnTRT79VFWTKTh3TqRkScfP04rPPxcZONC9fYaHi2TJoq+GERcnUru2yODB+vWhFR06iHz/vTZt\nBQWxRMP58+rP2bRJ5KWXvE/j05MxY0Q++8z2MZMmeT5L+sQJOte9qeQG9M7YFJFDAP4CEADgxH+C\nfIYzbUVHMyytXDn7xzqriZcty4LwnioK36cPtUF37hgTGMjPrceelGaGDaOPwp31vp1l3DiuFs6c\ncb2tEiW4suraVV3suFkLHzJE39/D22jXjvXgo6OtH+NpTRxgdnDbtkwC8jVcihMXkaEi8rKIlBeR\nTiLi1N7xJ0+yTKSapAdnhbg5c/PYMcfP1YLSpVmRb/p09/Wpd6ZmYiKXoRMm+MZ2YgULsirhl19q\nk7TTowcd23Pnpn0vLIxldX/9lcv1cuWYY+Dn53q/vkSxYjRl2tp+z50p97YYOpTO74MHPT0Sx/CK\nW+/oUXVJPoDzQhxwPOlHa/r1403trt3U9c7U3LMHKFzYu+uUp6ZrV4azLlzoelsZMzLUtW9fhqiN\nGkUhXbo0hdcPP3AHqrp12d+BA74x2WmNvTR8b9DEAUa7jR3LST4x0dOjUY9XXFLHjqlLt09I4A48\nzjrPPC3EK1TgamDePPf0p7dTc/lyplj7Ehkz0qzVpw+1ZVepVIlCfMoU4P59Fvtat47hcvv38/VP\nP+Vx9vIf0ivNm9O5GRpq+X2zJp6YyMmuenXP7Xnbti3Ng+5cMbuKS3HiqjpQESdeqRJvLHvRKRcv\nMrrg8mXnxnLuHDd/cPZ8Ldi3j8vrwED9IxRee40aUKVK2redmMhkjr17tUmicTfdulGgp8c9F72R\nTp1YmCx1SYWYGCb6LFxIc8azz9L0FBrK2G1PcPo0UK8e/xYo4JkxAG6IE1f7gJ3olJgYkaxZRaKi\n7Htr168XadjQ/nHWSEwUyZFDfcq8XtSu7VjZAGdISGBkSkSEPu3v3ClSqZI+bbuDe/cYXRIY6OmR\nPBls2yZSsWLK10wmkQkTRACRKlVENm7ka9HRTIffs8czYxVhXsnHH3uufxE3RKdoxZ491OSyZrV/\nrCv2cID2yIoVPefcNNO/P2tq67kIunqVWsQzz+jT/rJlvu2ky5OH9ccHD/b0SJ4M3nqLkWEnT/L5\njh3MeDVvDH34MPDuu8yozZKFUU99+3quVOyQIay2uW+fZ/p3BI8K8cBAmhaGD1d/vCtCHPC8XRzg\nxZoxI7B+vX596OnUTExk4pQvC3GAaeE7dqSvDUC8lQwZmGw1dCg3ve7alaV9Z86k4zN1OYT27RmO\nu3atZ8abIwfw88+sge/tlUs9JsRv3KAwGz6cu7ioQQsh/uabwOzZ3HzAUygKI1VGjdJP03DVqZmQ\nQG0kPDzte7t3c5NiX7SFJyd7dmp7vhDjnh7o3JnROm3b8vps2xa4ft1yeGHGjCwT27+/5yJFWrXi\nim3qVM/0rxaPCPGwMArwTz8FPvtM/XlaCPHmzVkMqlYtbTYMcJYPPwTu3KFA1ANXY8SnTqXJ57vv\n0r7ni1Ep1vjiCy7lfXnjD1+hbFlu1PHpp0lOfVvhhY0aseqoo7sEaYWi0PE9bBhw65ZnxqAKNYZz\nVx5I5diMiqJjr0cPx+psR0Zqm0K+d69IkSIiI0d6rt73zJmuOWptUbMmnY/OEBpKp9/BgyxVsGFD\n0nsJCd5b6MpZpk5loTAD91Ovnsjmzdbf37+fNfzVBD7oxfffs2SDu4E37nYfHy/SrJlI69aMFHGE\nEydYOF5LQkK4w3aLFiKPHmnbthpiYrjJwNGj2redN6/IzZvOnduxY1KNkR07OEZzRM+OHb4dlWKJ\n2FhW29u1y9MjefIoU4Z1jWzRrJnIuHHuGY8lwsNFihXjhOJO1Apxt5lTRBibGxnJZBdHM9e0MKWk\npkgRpkbnycMYdXfbyZ9+mhUOx4zRtt07d2hHtLQ1mj327KGz78cf+fytt2j66d6dz5ctSz+mFDOZ\nM9P+P3Bg+tg411cwmbgRhL06+6NGMZNSi+QsZ8ienVE0s2d7pn97uE2I//gj7WErVjiXuaaHEAco\nSGfO5IYUNWuydoI7+fxz7i0ZGKhdm2Z7uKMbICQkUFiPH0/vvJnRo/nbLV6cPqJSLNGuHSe/LVs8\nPZInh9u3mehjbwORl1/mxsY//eSecVnio49YWiEuznNjsIZbhPjkydTgNmxIKRwcQS8hbqZrV/5I\nXboAI0dCh2v1AAAgAElEQVS6TyPLnp2hVlpeoM46NadMofaeWkhnzUrnUrt2jBrwxprhrpIxIx1Y\nhjbuPhwpfDVkCOvUhIToOiSrFC8OvPIKsHmzZ/q3hVuE+E8/UcNxZUMEvYU4QE388GHWvmjWzH3m\nla++4gpFqzK5zgjxmzeBESM44VrS4KtVSzouvQq5li25GvFUuveTRlCQ+sJXxYoxkm3oUH3HZIvW\nrYE///Rc/9ZwixD/7DPGhV++zD3tHMVkomDSW4gDSXbyypWB//0PaNNG/2SQvHmBDz4AFizQpj1n\nhPj333MVYu28hATWtciVy3ttg66SIQMnsh9/9K0qdr5KcLBjJWj79eNq+dw5/cZkCz8/Jug5I8P0\nxC1C/PhxOvDq1aMTMVcu1g+vU4cB9T170rk3dy6waROPDw1NupGOHGHJU3cVo3n6aaZjX77M4lEN\nGjAh6dAh/fr8/HMuF7XQcs+edSxb09+fDk1bW43t3g08/zzTkPv3B65ccXmYXsn779PEtXSpp0eS\n/nFEEwe46fL333MzDk9QoAA3U9Yz09oZ3F7FUIRe5tDQpMfNmymfm18LCwPy5UsqYfnxxxTmhQql\nfBQuzBvP1Z3MrREdTe1z3DiuBn74gTWitexPhIJ31izb+xHaIzqaF3t4OPeWtEd8POvJDB8OtGhh\n/bhu3bgjed++TEdeu5YO2fRYH3vHDvpI/v1X3Xdo4BxNm/Kebt5c/TnR0bwHly9Xtyev1vzxB82t\n7tivV20VQ68oRWuN+Hh6sIsV4+xbsqRlYX/zJgVqasFu6XmBAs7fmHFxLJk5ZgwnlwEDqLlpJczH\nj2eBIFfqjZ88Sdud2nrM48ez0M/GjdY/R0ICy84eOEBtPDGRoYfNmnGFlR6pX59p4Z9+6umRpF8q\nVqRypGYvgeTMnk1Hu7+/foqbNR48oBwKDqZFQU/ShRAHWI2venXa1K3tTSjCbbLsafahocDdu7Tt\nWhL0qV979lnLF0liIjWBAQNodunY0emPl4K7d1mP5MoVatPOsGwZnS9qNIWQEG5UceCA7d15duzg\nJgpHjiS9dvkyfxd/f+DVV50bqzdz4AAnw8BAmtcMtCdPHn6/+fI5dl5CAvfEHD8eeO89fcZmi6ZN\n6QTX6r63RroR4pMnAwEBXMZoQWIihaUlYZ/6eUyMbWF/4QKF28OHzodOpqZNGzpUe/Rw7vxBg3iR\njxpl/9jWrTlpjBhh+7gvvgBKlaIpJTkzZnAHlIMH06fZ4YMPgIYNnf8tDKwTHs77KCLCOW167lw6\nOT0RSbRkCYMQ9M4pSTdC/J13mIDSrJmGg1JJVFRajT61sDdrp88+a1+zL1SIkSi27Mg7dzLx6ORJ\nxy/u8HA6jNesAapWtX3s9u00Ffz7r+1ki4QERuwcPEhTSnJEqAk1aJA+zSrHj9NcFhhIn4uBdpw5\nw0zgs2edOz88nLHbFy86rsm7SkQEzYuXLunbd7oQ4g8f8oe6eVO/zQ1c5ehRamyHDnG89hy24eG0\ny1sT9gULslzu1q20yzrCjz/S/GQvVDEujmaUMWPslwHevp0aeHJTSnJOnuREe+lS+hR0n36atCGy\ngXZs2ABMnOha8ky7dkCNGsyzcDetW9Mv1LWrfn2kCyG+bBmdfN4W0pOali3pKf/+e/vHxsayrKUt\nYX/wII/NkcO2Vm9+LX9++gwqVqT2aK8WxeLFjILZvt2+tm/NlJKcVq0Yitmvn/3P72uEh/N7/fln\nx6IoDGwzbRp32HJlcty8mYqLnqG/1li9mpPQzp369ZEuhHj79kDt2vrOdlrw778MObx4kbUgXOX2\nbYZRnTjBkCp7DtsHD5J2H2nY0LZZJ0cOoHFjahLt29sehy1TSnLOnmXMv1af39s4cIAC/Ngxfh/O\nEBREB/HHH7s/osIb6d+fq2tbuQn2SEigwrJzp2u1850hJob31OnTNK3ogc8L8fh4Cp2TJ/X7krSk\nY0cKuiFDtGnvo484MXz5pf1jDx7kstLfn1UirQn7mzeTss1ee40RKdaEfYECTACyZUpJTvv2tMeb\nqx+mN4YMAfbvZzKao7Hxd+4w9j86mj6E335L2hThSaVtW34XHTq41s533zF6aORIbcblCB9/zFWa\neZ9QrfF5Ie7vzx9IjQDxBi5fZn2RwEA6L11l2zZ+/oAA25qbCIV9+/ZMm7fHL7/QZj5pkm2H7Z07\nSdr922/bdtjmzk0tvEYN/n32Wdc/v7eRkMBVYatWjt204eHMVG7YkBNiy5YsKLZkif3qfemZWrUo\neOvUca2dEydY4fDKFfcnnm3ezBBjs/lTa3xeiPfuzWB6X9r/sFs3mivGjnW9LZOJ4X9LlyYVn7LE\nqlW8kAICrMfRJ6dePTqCbGVnAlwuZs3K9rNmtW3Dj46mMA8O5rmff27dhp8li/rvwNswx8Zv3844\nZXvExtLpXaoUQzEVhU7lTz5hW2vXajPh+yLFi3OlV7Kk621VqED7dN26rrflCPHxtBL88w9/Y63x\naSEuwqX+X39xueIrhITQTHH6tPO20+SMHs2bfeZMy+/HxTHR5rffGOZnjxs3ePzNm/aF6V9/MUZ/\n1y777Zrt9gcOMGJg+HBe4JbMOs88Yz8Ms1Ahhm55Y0r/3LlMMjl82PZ3mJjI7yIujolhySdYk4lO\n4LVraZ5xpH5IeiA+ntdBZKQ2+QXjx9Mv5YnCbN26sYhX//7at+3TQvzsWS4/g4J8zwnUuze12N9+\nc72t0FDWUwkKsuwwnDCBJX7VJh1MmMDolblz7R/bsCHt/O3aOTRkdO3KTLzRo9O+JwLcv2/bjGN+\nPHyYNhTTmsPWneGnIjSpFCnC79PaMT16cDLftMm6sJ8wgQJo/Xp1mn164epVmqauXdOmvZs3Wes7\nJMT9Jqpdu5jXceKE9m37tBD/6ScuzbUQhO7mzh16yo8c0WaJ1bIltezUETr377Mff39ewGqoXp0b\nHzRsaPu4K1dowrl+3XHzR3Awww3PnnWt6mRsLKN0bAl78/NMmdTVzcmfXxuH4v37XCHOnGn5uxw+\nnPXhd+2yX19j6VIK/GXL3G8O8BS7d7OI3N692rX57rt0NLZurV2bajCZaBraulX9fagWnxbitWox\nysGesPFWBg2iMFOj8dpj0yaGYaV28PbqRY1/6lR17Vy6xHT+kBD7gmzgQGalWdM07fHVVxT+P//s\n3PmOIAI8eqSubs79+1wlqKmbkzOn7VXgjh2MrDh+POVmJ9Om8XPv3ct21LBzJ7X7KVPS3/6llliw\ngAXXFi/Wrs1Fi/hw9/aKALOVc+TQfsMKnxXid+7QHn7rlu8WHnr4kE7J3bsdq+tticREboe2YkVS\ntbcLFxgJ8u+/6rXdkSNpE7e3uklIoI12yxbnC1uZfQNnzlAwegsJCby+7An70FAea0/Y//ILf+v1\n6ynw//qLtfF373Z8C7sTJ4BGjZgw1rOnPp/fWxg5kkqCJZObs0RGstrp2bPqJ0+tOHSI0WHnz2tr\n/lUrxL0uWnX9eoa0+aoAB7iE/u47Ro0sW+ZaWxkzcmekmTOThHjfvmzfEXPFkiXUEu2xfj2FuCuV\nCYsWBTp1Ylr/xInOt6M1mTJRABcuTJOPLSIiqEikFvaHDiW9FhTELfWSO2BfeYWrI0sTQJ481m/y\nChWovTdowCV6r17afW5vIyjI/vfvKM88wxISS5a4/7urVo3KVkAAdwRzN16nibdowWJXepd51JvI\nSK4o1q93/YI1a7bBwazV0qkTt6hSa68+dYpa3tWr9iM+PviAhYk+/ti1Md+6xVXIyZPUkNIrZ84A\n5crx//796aewZtqJimJtHFtmnLg4mlRGjFAX9++LvPsunYHvv69tuzt2MLAgIEDbdtUwYACjbrQI\nLzbjk+aUmBhe5HpXB3MXU6bQ9qdF7ZemTSlgp0/nhdqmjfpzf/iB5gF7F9i1a9QIr13TJuKjTx9q\ntL//7npb3syKFYyKsFfbOibGflXM0NCkeHuAyTC2zDp586rLD/AmXn6ZYZfmyU8rTCbGna9fT6XH\nnZw6xftTy6QjnxTiGzeyDvaePboOySaPHvGHiIyk3dkVG1dsLFPRFy0CatZ0bVzr11Nwv/IK47HV\njkskyaZub0UwdCg1aK2E7t27/PzHjj15sdCuIEK7et26zA6tVs26Df/hQzpW7YVhFirkHVUmRagg\nhIbqU2enf3+aNrTUiNUgwklpxgzX73UzbhHiiqLkAjALQDkAJgCfiMg/qY5RLcS7dWP9ETXVANVi\nMlELjY9PeoSFUVCbH5cvJ/0fHc3ZPC6OY5k61XbxJ3vMm8c29u93bYZOTGSI4KRJjDJRyz//0DR1\n7pxtwZ+YyJDINWu0TbAaMIChgtYSlgysc+gQtbs//2SmrSXi4lKGYtqqm5MxozphX6CAfrVd7t6l\nmfHBA33a//dflkYODnb/CmX4cH7PWilB7hLicwHsEpE5iqJkApBNRB6lOkaVEBdhvOX27dTenOHb\nbxnWl1xgm0zMCkv+yJmTAsvSo0ABCrv4eIbY/fQTHYm9ejl3YZtMFLpduwKdOzv3ucyIOL4y+OYb\n1jKxV5hrwwY6Yg8fdnp4Frl/nxUZ//nH8YgNA8aa+/lxB5saNZxvR4R1XNSEYt67x3o4akIxc+Vy\n7Jo8epQ12o8fd/6z2KNqVUa+vPOOfn1Y4sYNauPnz6cMO3UW3YW4oig5ABwXEZu3pqIosm6doFEj\n2+0dO0ZzwfnzTg0Hjx5xEggIoD3dLLAzZnTNJHLpElcId+5Qm7S3Y44ljhyhRnX2rPN7ZzpDYmJS\nqU57E2Pz5nQ06eFMGzqUN+/q1d6ZSu/tbNxIR/Pmze4pQ5GQYH0Lw9SvxcWpE/YFCzLibNUqYM4c\nrvj0YtIk3nPz5+vXhyX27WOOC8DdyDJn5mdO/jdzZn4Xfn727wV3CPEKAGYA+BdABQBHAPQUkehU\nx0mxYoLOnanpWVviDBlCJ5izCSJz5lBbWb3aufNtIUK79nffcaIZPtxx++IXX/AHnDRJ+/FZY8cO\njvnYMdvHmdOWg4O12ys0ObGxDJ2rWpVp5gaOs3w548fVTMjuJDLScihmamF/6xavLbMZpW1b68I/\nb17XFC9zPf7r193nB9izh9nV5qStkSMpuOPieP3HxSX9f/AgI7bmz7d9v7lDiFcBcBBADRE5oijK\nBAAPRWRwquMkNFTQujU148WLLUeeVK5M88Wbbzo1HNSrx9mvZUvnzlfD3bsUijt30u5lb3WRnHv3\nKCi3bnVfnYwuXXgx2/MxjBpFf4CedusHD+jw+eILhpcZOM6cOayAWKMGzXt+fp4ekXpMJprW2rSh\ngO7QwbppJyIibSimJWFfqJD1WimNGzNU09V65WowC/AlS7ilYrt2vMet7YYVF0dZdeAAVyTWfG7u\nEOIFARwQkef/e14LQF8RaZzqOBk8eDBMJmqGFy7Uxdq1dfH660nHXL/OZaK5DoajXLvG82/ccE+S\n0PbttHFXrsy49oIFky663LmtaxHTpwMLFzLyQO/CXnFxvPADAlhlzRpqS95qwdWrFORTphhbnTnK\nxYtcrS5alPTali3ut/u6illbtVVeICbG/haG5sfTT1sW9nv20M8TEMDX8uXTx9G5dy9lwOLFTFIE\nGG74zjtUjLJmtXyeCBXB4cN5br16gL+/P/z9/R8fM3ToULc4NncB6CIigYqiDAYdm31THZPCsbl6\nNetNDx1KrUxRGL1x4IDzNqwxY/iFTZ/u9EdxmOho4NdfmS5tXi7eusXlZYECaQV7lixciQwdCrz+\nOp07WbIkPUqV0ja2de1ahlnZC9dUu/mEVhw9ymSPtWu5L6mBba5d442+ciVXMN98Q5PUsGF0Km7d\nqv/kqyXVqnESr17d9bZEGGlmSdhfvUoTVO7cFN5hYRTkauz32bOruxf27aMysmhR2sm0aVOaELt3\nt93Gzp1cnQwYwJpDyft1V3RKBTDE8CkAlwF0FpGHqY5JE51y8SJn5PLlKXhbtuQy0ZnloTk+c/r0\nJKeCJ4mJoU3OLNRDQ3kBxcbyvZ07+eO3akUbeUwMH/v303FlTq13lbZt+X3Y297NkW3gtGLDBk5i\ne/ZwFWCQltu3GWExbx6Vnj59mLYPcPXUtClL3cbEMILlhRc8O161FChAxccdNXU+/5zXV58+jDZT\nG4qpKPaF/aVLXI0vXWq5lv/Bg7zHL160XzP9yhXuTlS9Omsbma0JXp/sExXFqI9jx1hL4fp154L/\njx3jJHDpku9EPnzyCW/I5E7cpUtZPfDoUdeTICIjWb/kwgXboU5mB1BQkP2SqVozcyZXCvv3axOO\nlV548IDXxbRptK3+8IPlgk5hYXQUP/cc8xz27dNmIxI9iY6mZhwV5Z579dAhTna7dzM2XQ0itMnb\nEvYbNyYdny+fdWHfrh0nkL59GeZrS7uPiGA+x61bXHUVLOgDQhzgFzZjButPOBu10asXlz/Dh7sw\nSDdz+zYLTO3albIG8eefUwAvXOiaaWPpUjrBNm2yfdy4cfzutSiZ6wwDB9K/sH37k73fpJmoKE6q\n777Lcsa2fBkA69LUr8+l/OnTFFbevL9pQADrfTsbRuwMs2axDs3evdrU8DlwgBPD/Pn83m2FYi5d\nynOyZ0/a+N2WGadAAVoUFi9mKGbVqj4gxF0lIYE/zO7dvrOcNDN5Mv0D27YlCeyoKNoMv//etQJU\nzZrRVtepk/VjRFisac4cxzJAtUSE2kdEBMu4+loNEK2ZO5ffw7p16s9ZtIgOz1q1uBrdvNm6M83T\n9O9PU9BPP7m333HjgD/+oJxwZdV38CDNHvPnc6K1hwj9Pn378nhLoZipn9+6RYGfJQsQE6NOiENE\ndH2wC33YsEHk9dd1a15X4uNFXntNZNmylK+fOiWSL5/I2bPOtfvggUjOnCJhYbaP8/cXeeUVEZPJ\nuX60IjZW5K23RHr08PxYPE2NGiJ//+34eT16iDRqJNK6tUjTpry2vI3ERJHixUVOnvRM//37i1Sp\nIvLwoXPnHzwokj8/ZY4jrF7NftVe24mJInfuiAQGivwnO+3KWB+xIltmwQL3xIHqQaZM9NL37k1N\n1Ey5ckwUaNWKTitHWbqUS2x7Nu4ZM2i+8fQeppkz0wa4Ywc1Jp0Xhl7LqVNMtnKmPOvPP9NGXrYs\n7c5ffOF93+Pu3bSHu7u6oJmRIxkV1rgxvyNHOHaMGvicOfYrVabG3N/WreqOz5CBdna1NnwAvquJ\nP3pEjfPOHV2adxvt2lFLSI7JJOLnJ9K9u2NtzZ9PbeHAAdvH3bsnkisX/3oLwcFcmVSqJLJ4sXdq\nk3ry1VcigwY5f/6NGyJFiogsXy5SrZrIgAHajU0LPv1UZOxYdceGhemzKktMFGnTRuSDD0Ti4tSd\nc/q0SKFCIitXOt/vggUideo4fh5UauI+K8TnzhVp3FiXpt1KSIhI3rwi58+nfP3BA5FSpdRdPImJ\nnAief17kzBn7x/frx5vK20hMFFm3TuTNN0VKlhSZNEkkIsLTo9KfyEiRPHlEgoJca2f3bpECBUQO\nHRJ54QWRiRO1GZ+rREeL5M4tcu2a/WPj40UKFuT1GRur/Vji4mh6atuW15stAgM5MS5a5Fqf8fG8\nnvfudey8dC/E69dPa0/2VX7+WaRmzbQ38cGDvCmvXrV+bkSESIsWIrVqidy+bb+voCAKjOvXXRuz\n3hw8KNKyJVcWgwap+2y+ypw5FCxaMGECVzNnz4oULeod98jy5bxf1eDvL1KuHG37b76pz0o7Kopt\nf/mldY3/6lWREiVEZs7Ups+pUx3/jdO1EL92jTN7dLTmTXuEuDiRgQMpXL/7LqWZY+xYkf/9z7J5\n4fp1kcqVRTp1EomJUddXhw7sy1cIDBTp2pW/d7duIhcueHpE2uOsQ9MSJhMdnB9/LBIQwEnQ31+b\ntp2laVNOVGr45huRoUOpJffrx9Xl6dPajyksjPeOJbNTSIhI6dLarmSio0UKF+ZvopZ0LcR/+knk\ns880b9bj3LhBgZUvn8iYMdQYEhNFGjZMe7EdPkxNa8wY9fbDo0dp33v0SPux601oKL+DfPlEZs/2\n9Gi04+RJ/o7mSVoLW3BEBLXZiRNFtm/nau7UKdfbdYa7d+m7UhMVYjLR7JA8gsXs51m3Tvux3b4t\n8uKLVJTM3/vt2yIvvywyerT2/Y0bJ9Kqlfrj060QN5l4ge7apWmzXsW5czQlFCtGgWV2Wm3bxveX\nL6cwW7VKfZsmk0jduiLTpukzZndx/jwnIj1uak+Q3KH5118izz7LsNlBg0T27XPewXvxIn0qgwbR\nUVy8OJ3H7mbqVPWCKyCAmnfqiWz/fmqx48dr7/AMDhZ59VWRsmVFevYUeeYZ/Vaqjx7xvk3t/7JG\nuhXiAQEizz1n3ymRHjhwQKR2bcZz9+jBC7l7d96Qx4451tbatdQw0kPUhzlm959/PD0S1zA7NK9e\nFRk8mL/r/v3Unvv0ESlfnmYkPz9O5o76MUJDGanSsaPIqFG8ju7f1+WjWKVmTV57ahg8WKR3b8vv\nXb0qUqGCyCefaO/wNJmoIDEwk5PopEkit25p248IP6PaoIJ0K8S//db7wqf0xGSi1lmuXNJFdumS\nY23Ex4u89FL60V5FKBgKFVKv1Xgjc+Yw9KxFC/o9bt5Me0xICI9r1YoCv1w5+k1u3FDXR0QEbdL1\n6ol07kylwF2+pEuXqHmqDecrX15kzx7r74eHizRrxs+gpaM7MpKOzq5dOdaNGxn6myuXyHvvMTpF\nqyipu3d53S5dav/YdCnE4+P5BTibzejLJCSIbN0q0ry5yEcfObYSmTqVN3F6y4icOZPL79BQT4/E\nOQoX5h3YubM6x3RCAlchn39ObVGtMzshQeTrr7kSe+MNmuoSElwbuxqGD1ef63DpEm339sZlDqct\nVYrC1hWtPD6eGnidOnT4p76nwsNFFi6kIM+VS6RvX77mKsePM4xyxQrbx6VLIb5pk0jVqpo155NE\nRzOaQW1iyMOHnPgcNb/4CkOGMMrA15y1U6bw7vv5Z8cnV5OJGqmjyWC//krNOGdO2uL1nNRNJjoN\n7SWemRk/3rFghaVLOSHlzi3Svj0FohptOSGB5qquXWmSq1qVfdszM4aEUNAXL06flKvf3dGjnLRs\nRSWlSyHerp33JDB4klu36MVfuND+sQMG0CaaXjGZRLp0EWnQQJ/kED2YPp133htvON/GgwcMg3M0\nEWXFCpGnnmL/Y8Y43789Dh/m+NQKu9q1nTP3Xb8u8ttvIm+/zcmpWTORefNShukmJIjs3MkQ1QIF\nOOmPGeO4WVKEARXlyom88w4DEFzh0CFOJOvXW34/3Qnx8HAuafRwNvgip07xAti3z/ox167RjuqJ\nqAR3Eh/P7N0OHbzbZBQXR+25RAneea5maB4/Ts1aTZZucg4ckMf+lfnzXRuDNXr2pBNPDbdu8d42\n2+rv3+d3c+cO7dVqf9N79yjAmzWjQH/7bZqeChZkAtTo0YzacZW4uKRVTb9+rtnLDxxgO5s3p30v\n3QnxefO0y2pLL6xfT7vqlSuW3//447R1WdIrkZEi1avzpvJG7txhtcb332dWpVbX8h9/0GntqDnp\n4sUkQe5KXRBLxMdT4w0MVHf8rFmMwBGhnb9wYYbX5skjkiWLiKKIZMtGYVeiBD9vlSq2sykjIvi5\nfv5Z/Tgc5cYNWgeKF2d4qLMKxJ49/Gzbt6d8Pd0J8XfeEfnzT02aSldMnMg419TJFAEB1ECcLb3p\ni9y5w5ohkyd7eiQp2bePN3q/flzav/GGdhmaIgy7a9XKcSFy9y6vEUDbiK8NGxwzFX3wAWPZRWjr\nfuutlO8nJHAlfusWFZYzZ2geKVKEwtPT+PvzHmzQwPkJw9+fgjx5/ku6EuL374vkyMEMRoOUmEy0\n9b33Xsqsv/r1aSt80rh8Oaman6cxmeg0K1AgKVb6xImUGZpaEBUlUrEiY5udoWdPSoJSpayv6hyh\nbVs6btXw6BHvbXP9+wYN1Pl6ROisz5+fhb88TVwcf+v8+UW2bHGujW3bKMjNhbLSlRBftozLUAPL\nxMXR/tezJ59v2MDIALXxuekNc82QTZs8N4YHD2ibrVYtpWB0teSsNS5eVFeG2BoLFiSZV4YNcz6W\n/NEj2rfVxnEvX07BLcKEnjx5HFPWtm7lJKlHfRVn2L2bq5vp0507f9OmpN8xXQnxTz81olLs8eAB\nbYWTJzMzT8vlui+ydy9vBlvJI3px5Ajj13v0SBnLrVXJWWusXk2zjbOJMDNmiGTIQN9C6dLORYvM\nn0/ziFratmUegwjDRR0NmxSh5l6ihLpSt+4gMJBp/N9951g+x507nJQaNaJjNt0IcZOJy09Xw3me\nBC5eZG3yOnW8O0rDXWzZQkF+5Ih7+jOZKJDy5bOckadlyVlr9OlD/5GzyTyjR9O+u3gxBdEHHzgW\niteggXrfVWws47xDQjjeEiWcz2cYO5ahfw8eOHe+1ty9yyzQ5s05eSfHZOLqbOVKrsoaN6YjN2dO\nntOzJwM50o0QP32aMdGGUFLH6dO2648/aaxcyeWto2F4jhIeTq3ytdeslwLQ2qFpifh4TuLOmmxM\nJmqQ1aszZG/0aCoGZsejLW7cYAGv1ELLGps3JzlAN29mGKCzmEzMSq1Tx3tKVMfE8JrImpWTTK9e\ndNrmzs0InPffp0N5+XIqYKm19nQjxMePZ3aVgYGzzJ9PTceZ5A5LmEx0tgcGMvLkr79oyvrkE+sC\n7Ngx7R2a1rh5k85dtYWnUmMy8bO88w4F0alTFDpz59o+75dfGNaqlm7dkhKOPvpIvTPUGomJDFX0\n8/NMgbzISNqyf/+dCWjVqlGAm30N7drR5q22TES6EeINGmgfx2rw5PHbb7RTO1IJ0GSiJurnxzK+\n5cpRq8+UiUvf0qWpsTZqZDtpxmSi49mdfp29e+nwGzTIOQd3fDxNAX5+NHWYdwqyFZtduXJSuWR7\nJPuNGpkAACAASURBVCZyojl/nrbgXLm0qbAYHU1tvGdPfVfvd+/Sfj12LPftfPllCuxKlTgBTp7M\n38Acv794sePO9nQhxCMjRbJnTwo/MjBwhdGjebOp3fJr+nRW1vvzTyZinDhB+62j6f3r1zN+3d3R\nQiEh3FCkWjXnqj1GR7NwWpcunPx27qTj84cf+Dz5Y88eCmW1tviDB/lbiDD7sV07x8dnjQcPOOGO\nG+d6WyYTzZOrVqW1X9euTRPOnDnMnrV3XezdyzpGamv6pwshvnEjvygDA63o358aoz3F4MwZOihd\nrZgZH09htWaNa+04i8lErTBvXjpdHdVOHz2iWaVIET7MpgEg6TXz4+ef1bfbrx9/C/MmLzt2ODYu\ne1y7Rkfp7NnqP3N8PE1HCxaw5HVq+/UPP1i3X6vl4kXuh6DGx6BWiCs8Vj8URRFn++jVC8iXDxgw\nQONBGTyxiAA9egAnTgCbNwPZsqU9JiYGeP11oGdP4NNPXetv6lTgr7+AbdsARXGtLVc4exZo3x4o\nXBiYPRsoWND5toKDgXr1gC5dgL59nWvjpZeABQv4e7RpA1y4AGTI4PyYLPHvv0CLFkCxYsD48UCF\nCknvRUUBJ08Cx48DAQF8nDkDFC0KVKoEVKzIv5UqufZdWeLkSaB+fWDDBqBaNevHKYoCEbF/1aiR\n9K484IIm/tJL7gsPM3hySExksax69SwXVPvqKzraXLWphoXRhu7I5rh6EhtLbbJQIdejZK5fp4lo\n2DDHzzXb1xMTWaBq5EjXxmKLuDhuvGxePbz1lmX79Z497i1nvHo1vwNbPhr4ujklKIiOgCdhGzYD\n9xMfzyL/hQqljOJYs4bLXS3ijfv04YYP3saePUyx/+wz1zY5uHmTiWUDBzo24Y0axaSeiAiGJDq6\n7Zw1UtuvmzRh8lPOnPRtmAV58+beEU8+ahTrmVuLaFIrxL3WnDJzJuDvDyxapP2YDAzM7N4NdOwI\nvPsu0Ls3ULs2sGIFULOma+1euQJUrQqcOgUUKaLNWLXk0SOai/bsAebNc/7z3rkDvP020LAh8NNP\n6kxG1asDI0cC16/T1LRuneP9JiQA588nmULMZpGnn04yg5jNIs8/n2SquXIF6N8f2LsXGDGCv73W\nZhy1iAAdOvCzLFmS9rvzeXNKixb61To2MEhOWBijIwDHUsZt0aoVl/HezqpVXI18/73zSTJ379JZ\n/N57rHNkq/bJ9essPRAXJ1Krlrrw4chIRrNMnZq0NV22bCJlyjAEctQoBkFY2qPUGgcOcIesihW1\nd6o6QnQ0P48lsxR82ZwSH89llq/unWjge4waxbshb14KX1eScvbvZxiaVpvr6s3t21SaXnnFeR9U\neDgjQd5+m/du+/YMrUwdVvnbb3zv3Dn6C1K/f/cuY83HjWO2Y3L7defOrNSolf3aZOKkU6KESO/e\n7knEssSNG0k1yZOjVoh7pTll3z7gq6+4PDIw0JuDB4GmTYEjR7i07twZCA9n9ESZMo61JQLUqAF8\n+SWX6r6CCJf033wDdO8O/PAD8NRTzrUVGgosX872LlwAWrZkBErt2jRbde0K/PMPEBQEtG2bZBIJ\nCADCwmgCSR4d8sorQObM2n7e5Ny7x8id6Gjgzz+BQoX068sax47RJLVlCz8z4OPmlIEDvXeHFoP0\nRVgYnXzJl/WJicyuzJuXlf0ccdotWULTgq865ENCaBapXFmb8q5XroiMGMEsV7NjsXLlpP/fe48R\nM8uWiVy44LnvLSGB28kVLZpUz9vdLFtGjdxsFoIva+Kvvw6MHQvUravPmAwMAIqRdu2AXLkYz52a\nM2eATp2AjBl5PdapY7u9mBjGP8+bZ/9Yb0aEseT9+wN9+gDffsvvQA1RUXTmJo+/Pn2azt2nnwby\n5gVefplx8xcv6vs5nGH9euCTT4CBA2kNcHds/9ChwKZNwM6dQNas6jRxl4W4oigZABwBcF1Emlh4\n3yEhfvcuULo0vd56LqEMDObNo3A+fNhy0g8AmExcYg8cSOEzejRQvrzlY3/6iaaZVav0G7M7uXqV\npqW4OJqWnn8+5fv376eNDrlyBXjxxZQRIuXLAzlzJp3XuDGTcDp3duvHUc3lyzQBvfIKMGMG8Mwz\n7uvbZAJat+aEt3Ch+4R4LwBVAOTUQogvWcKb5u+/XRqWgYFNrl5lttyOHcBrr9k/PjYWmD6doXHv\nvQcMGwaUKJH0/u3bvOkPHADKltVt2G7HZAImTWL2tJ8fP6NZYD94wCzI5ALbnv06JAQoVw64dg3I\nnt19n8NRoqOBbt2Ao0eBlSvd+5tGRdEKcfiwG4S4oijFAMwBMBLAt1oI8Y8/pjnlyy+dHpaBgV1a\ntAAqV6aG7QiPHgHjxgG//05Nsn9/mgi6dQOyZAF+/VWf8bqLxETL8df37ycdM2sWzUXJ46/VMmoU\nJ9AZMzQdti6IcJw//si/zZq5r+/4eCBzZvcI8eWgAM8FoLerQlyEtQv27KFJxcBAD7ZuBb74gjbv\nLFmca+PmTWrjf/1FYT53LnDuHJAnj6ZD1ZXoaNqvk0eHmO3XyaNDKlVixEZUFO3jW7cyCe+NNxzr\nz2QCXniB51avrs9n0oNDh7gK6dmTn99dqI1OyeRCB40A3BKR44qi1AVgtbMhQ4Y8/r9u3bqoa8Vj\neeoU7U+GADfQi/h44OuvgV9+cV6AAywkNXUqQ/KGDAHGjPFuAX7/fkpnY2r7dcWKdPJWqJDSfp2c\nbNmAadNoXmjalN9jv372nZ7//gssXEjh/eKLXGn7Eq+/zgzPOnV4zehlJfD394e/v7/D5zmtiSuK\nMgpAewAJALICyAFgpYh0THWcak187FhWSJsyxakhGRjY5ZdfGIu7caNnqwrqhQjtzakFdnL7tVnL\nfuUVOtCc4fp1poyL0OlZvHjK92/epG9r4ULGjbdty+OtOYV9gcuXaaseNoxmX71Rq4lrEmKoKEod\naGBOqV+fmk3jxi4PycAgDaGhdKrt20eN0Ncx26+TC+zjx4FMmdLWDyldWvsaIYmJjMiZOJGrkgYN\nGJmzcCFNEM2aMYmmbl31IYrezvnzwFtvURlo3VrfvnxOiEdEcIl686Z3e60NfJfOnVmfftw4T4/E\ncZLbr81C+/Rp2qpTC+zChd07tn/+oaZ95w5NDu3bUxGzFrbp65w6BbzzDk1Lejo73SrE7QxElRBf\nt46z244dug7H4Anln3+A5s3pfLRm8/UWktuvzX8vX6ZTMLnAtmW/djdRUUx28ma/gJYcPcpQ0/nz\nWUpAD3xOiPfowR04nN0pxMDAGiYTIym++sq76pmI0Lac3HZ9/DhreViKv3bWfm2gD/v308G7bBlN\nLFrjc0L8hRdYNCf5FkoGBlrwxx+Mbd6713O1oxMTgcDAtALbbL9OHtKnh/3aQB/8/YGPPgJWrwb+\n9z9t2/YpIX75MovS37iRPiMGDDxHWBjT5detA6pUcU+f0dG0V6eOvzbbr5MLbHfbrw20Z/NmRt5s\n3KjtNeZTQnzqVNacmDdP16EYPIH06gVERuqXIfjgQdpwvtT264oVucLMlUufMRh4nr//ZondTZv4\ne2uB7sk+WrJ5M9CqladHYZDeOHOGCSZnzrjeVnL7dXKhndx+/dZbnDRefdWwXz9pNG3K+jr169O8\nMnAgs8/dgcc18bg4IH9+4NIlhn8ZGGiBCMPAmjal09wRktuvkwvsjBlTOhsN+7VBau7eZez87NkM\nae3Xj/LNGXzGnLJtG3cROXRI12EYPGGsWMHazMeO0XlojZiYlPVDjh/n80KFLNcPMXw2Bmq4cYPF\nvpYsYZp+797As8861obPCPGPPmKCQPfuug7D4AkiKooheXPnptxYJLX9+vhxrgBfeCGlwDbs1wZa\ncfUqlYl161g86+uv1dcn9wkhfvMmb7agIO9JWjDwDSIieN2YH8HBSf+bHYvffZdSYN+9SwGdXGAb\n9msDd3DuHDB4MLB7Ny0P3brZXiECPiLER47kzTd9uq5DMEgHiDCEa/x4CuWYGOC555ggFhtLLfv+\nfToaY2PpX6lSJWVIX5kyhv3awLMcPw58/z1LFEybZrucr9cL8cREFpVfvTppd2cDg9QkJrKo0qhR\n1L4bN6aAvnaNwvzUKaBgwZThfOb4a8N+beCNiLDCY+/edLyPHm3ZXu71QnztWmriBw/q2r2Bj3Ln\nDjfpnTs36bUsWSzXD/EF+3XJkiURFBTk6WEYeCHZsj2HWbOuonXrlIqH1wvx999nbHinTrp2b+Dl\niHDfRbPd+sABmk3MvPwyNRZft1//d0N6ehgGXoiiKKhQQVCgALf9K1Mm6XWvFeJXrnCT2mvXgKxZ\nde3ewItITAQuXEgbf60odHDv38+dd154gfVOatb09Ii1wxDiBtZQFAXx8YKJE2la6dmTq9AsWbxY\niPfvT+fTL7/o2rWBB4mJSVk/xBx/XaBA2voh58/TW//CC9w1Rau0ZW/CEOIG1lAUBePHCyIjGcWy\neDE3LTl/3kuFeGwsUKIEN0N+4QVduzZwE2FhaeOvL14EypZNKbArVkxpv75zh2GA/v7ApEl08qRX\nDCFuYA1FUfDNN4JnnsHjx7PPAp06eakQX7KEKanbtunarYEOiDATLXmxp4AAxl+XL59SYL/6qvWN\niE0mmksGDGD1tyFD0v9uToYQN7CGtWvDa23ideowa6llS127NXARs/06tYYNpN0OrEwZ9Xsonj4N\nfPEFkJDA/IAnpX68IcS1oVSpUpg9ezbq1avn6aFohqtC3K1VDM+coWBokmYnTgNPYrZfJxfYp06x\ncI9ZWPfsSYFdpIhz8ddRUbR3z57Nv59/nn42zzUwsMa8efMwa9Ys7NmzR7c+3CrEp00DPvsMeOop\nd/ZqkByz/Tq5wL54kdq0WWB/9BE1ZEcL9ljj4EGgTRugRo2k4lIGBk8CIgJF76wzEdH1wS5EwsNF\ncucWCQ6WdI/JJHLlisiSJSI9e4pMmiSSmOj+MVy/LrJ2rcjw4SItWoiUKiXyzDMiNWqIfPmlyMyZ\nIkeOiERH6zeOrVtF8ucX+ftv/fpwN/HxImFhIiEhIoGBIgEBInv3imzeLLJypciCBSLTpomMHy8y\nbJhI374i5vvAW1EURS5duvT4+ccffyw//vijiIj4+/tLsWLFZPz48VKgQAEpUqSIzJkz5/GxsbGx\n0rt3bylRooQUKlRIunXrJjExMSnOHTt27ONzV69eLRs2bJAXXnhB8ubNK6NGjXrc1pAhQ+TDDz+U\nVq1aSY4cOaRKlSpy4sSJx++XLFlStm/f/rjfnj17SpEiRaRo0aLyzTffSFxcnIiIlCtXTtatW/f4\nvPj4eMmXL5+cOHFCrl69KoqiyJw5c6R48eKSJ08emTZtmhw+fFjKly8vuXPnlq+++irF9zN79mx5\n+eWXJU+ePPLuu+9KUFBQiu9u2rRpUrZsWcmTJ490795dRETOnj0rWbJkkUyZMkn27Nkld+7cFr97\na9fGf6/blbFu08T//BOoXRsoXtxdPbqPyEjgyBFqnAcPMmFFUah5Vq/OjQm2bmX2oR67gZtMSfHX\nyWOwgSS7tZ8fU9cdsV+7yqpV3O1kxQr+9u4kLo6/ixaPiIiUzxMSkCKSwN7DFzJK7WmLoaGhCA8P\nx40bN7BlyxZ8+OGHaN68OXLlyoU+ffrg6tWrOHnyJDJlyoS2bdti2LBhGDly5ONz4+LicOPGDcyZ\nMwddunRBgwYNEBAQgKtXr6JKlSpo06YNSpYsCQBYs2YN/vzzTyxatAgTJkxAs2bNcOHCBWRMdeGO\nGDEChw4dwsmTJwEATZo0wYgRIzB06FB07NgRCxYsQKNGjQAA69evR5EiRVC+fPnHmbOHDh3CxYsX\nsXv3bjRu3BjvvfceduzYgdjYWFSqVAkfffQRateujdWrV2PMmDFYt24dypQpgzFjxqBNmzbYt2/f\n47GsX78eR48eRVhYGKpUqYImTZqgQYMGmDZtGmbPno3du3dr8jtZwi2OTZNJULUq0+zffVfX7tyC\nyURBvXw5q5KdP8/ojDfe4KNGDU5W5vsiLg7o25d1YpYtY6KTs8TGpo2/PnkyyX6dPP7aWfu1Fsyf\nz8+8fj1QuXLa90WSBG1qIamF0BVJKUizZ3dM8Np6ZMni+PeqxrGp1W/lzC2dIUMGXLx4Ec8//zwA\noHPnzihevDiGDRuGXbt24f3330d4eDgy/FdBrGDBgli7di1ef/11ZM+eHadOnUKpUqUAAAcOHEC7\ndu1w+fLlx+dGRERAURREREQgZ86cOHToEKpWrQoAqFq1KgYNGoQmTZpg6NCh2Lx5M/bv3//fZxEU\nLVoUy5cvR82aNVM4NsuUKYPffvsNDRs2BABs2bIFXbt2xZUrV3Dz5k289NJLCAkJQfbs2eHn54fq\n1avju+++Q1BQEJ5//nmEhISg0H+2vXz58mHq1Knw8/MDAHz44Yd488038fXXX+P999+Hn58fOnfu\nDAAwmUzIkSMHzp07h+LFiyNDhgzYt28fatSoAQBo1aoVqlSpgj59+mDevHl2hbhPODYPH6YttkED\nd/SWEhGGwCUvVSpCDblKFethcJbaOXwYWLqUgvjZZ2k7/v13Ckxb6eCZMwO//grUqsVyA4MHs366\nvZv24cO0+zemtl/7+VFwa2W/To4InZ62tFJLj19/5fkvvcSdTawdlyGDZSFpTeAWLKhe0GbO7HsF\nsLw5eCVv3ryPBTgAZMuWDREREbhz5w6ioqJQJdkOwSaTKYVQyps372NNP+t/KdoFChR4/H7WrFkR\nERHx+HnxZMt1RVFQrFgx3LhxI82Ybty4gRIlSjx+/txzz+HmzZsAgMKFC6NmzZpYsWIFmjVrho0b\nN2LSpEkpzk89hoIFC1ocU1BQEHr27InevXsDSLJzh4SEPB5r8nPN3427cIsQnzqVy2q9y4Du28fE\nkeT1pYODKWCfe45JRs89x/C5xYuBs2cZz1yjRpIG/dxzSTe/CIWoWXBnzsx6L5s3M03cUVq2pMPQ\nzw/YuxeYORPIkYP93LyZNv769u2k+OvatbnNWLlyKScek4m7q9++rc4U4MgjKopOaHsCM7nQNW92\nPWwYv1tb5xkObu8hW7ZsiIqKevw8NDQ0hTC1Rr58+ZAtWzacOXMGhQsX1mQs165de/y/iOD69eso\namHDyiJFiiAoKAgvv/wyAArbIkWKPH6/Y8eOmDVrFuLj4/G///3P6fEVL14cAwcORJs2bRw+V3en\nJtwkxFetAsaO1a/9hARg0CAKkA4dKPSaNUsS2jlyWD4vKgo4epR27L/+YqElk4kCvVQpmgISEym4\nV62iQHXmN0lMZF+RkRTY334LdOzIycESJUsym7VOHQro4GBOODNnphW00dEU6o6YA/LlU3dctmz2\nC9ebEaH5pHBhmns0up8N3ESlSpWwePFijBgxAlu2bMGuXbtQTYXdT1EUdOnSBd988w2mTJmC/Pnz\nIyQkBGfOnEEDJ5feR48exerVq9G4cWNMnDgRWbJkQfXq1dMc16ZNG4wYMeKxWWb48OHo0KHD4/eb\nNWuGL7/8Erdv30afPn1SnOuIGfmLL77Ajz/+iAoVKuCVV17Bw4cPsXXrVnz44Yd2zy1YsCCuX7+O\n+Ph4PKWT1uIWId6okfObhdojOJjhazlyUHtNtkKyS7Zs1HBr1+ZEEBlJYbl9O3DiBPDVVzQJREYy\nNO7gQcc03fv3+b4aPv3UMdNCckHr6Y0OEhO5j+Dx48CuXUDevJ4dj4HjTJgwAZ06dcJvv/2GZs2a\noXnz5jaPT65hjhkzBsOGDcMbb7yBe/fuoWjRoujWrZtVIZ5aO039vGnTpli6dCk6duyIsmXLYuXK\nlY+dmsmPHThwIMLDw1G+fHkoioKPPvoIAwYMePx+lixZ0LJlS/z5559o0aKFQ2NI/rxZs2aIjIxE\n69atERwcjFy5cuGdd955LMRtnVuvXj28+uqrKFSoEDJmzIjbt29b/E5cwS2OzT17BLVqud5W6oiD\nJUu4f91bb7GAUnS045EGzkYcpH4kJNBeHRjISJELF2jTLl2aZprKlZMcj8nt1//+C3z4IZ2dEyYA\nuXO7/j25k/h4ripCQ4E1a6yvep50jIxNdQwdOhSXLl3C/PnzNWlv+PDhuHDhgmbt6YFPODYTE4EN\nG1wP8RKhZvrUU3RWAtRCn3qKAj21YM2blyYVNbbcp59WZypJbb/evZt/b92iuaViRWYjVqqU1n5t\niVdeAQ4dYunJcuVYCKpFC99wyj16RFNTpkz8fY2ywgbexP379zF79mwsWrTI00PRFbcI8R9/tC5I\nHY04uHyZgqNWLaZw6xF3bcZkonadOv7aZEqKDmnZEhgxghX7nI2/zp6dUS5t2wJdugALFwJTpgAW\nfDlew5Ur3Cqtdm1OPIaT0sCbmDVrFr755ht06tQJNdNTYXoLeHSjZEf5809GaAwaRHu1ltpqbCxr\nu6SOv86bN+3+jUWL6qcpx8QwKWfqVE4OXbp43uadmn37aAL64Qftf4f0imFOMbCGz1UxdBQROhkn\nTmRY3tKllpNHHOHhQ7aZPJzvwgXar1Pv3+gpG/Xp06wzkzkzo1JefNEz40jNggWM4pk3D3jvPU+P\nxncwhLiBNdKtED9zhgJ76VI6NNu0YeJIzpzq2zDbr1MnzNy6Bbz2WkqB/eqr3mfTTUykmWXoUKBX\nL+D77ynUPYHJBAwcyNXQ2rX8vgzUYwhxA2ukKyEeGJgkuB8+ZEZkq1aM3LC3ZDfbr1ML7MTElMK6\nUiXX7NeeIDiY0TfBwRTkLVvSR+AuIiMZgXL7NrBypX7hov9v7+xjrLjKMP573KLCYgCFsLHAUiOK\nJLXQUmi3bdg0YvErkEBsK4RCq4kRaQ1pbGOaWItRTI22xESbCrRoiDEN7TYqXyob05ayfC0fpctC\n7VY+ukAjSKsp8vH6xzmXnV12gXv33rl31veXTO65Z84Mzz2cfebMmXPe6cu4iTs9kXkTP3YMVqwI\nPbz29rCa8c47w7S8nsaCk+PXOdPOjV8nY4eUevw6TcxCD/ipp8ILhWfNgvnzQz2V8vcdPhziv197\nbfi3s/q2+XIzevToC4GXHCdJbW0tbW1tF+WX3MQljQBWAjXAOeBpM1vaTbluTfzgQXj88TATY+ZM\nmD07zHTo2kM+darDqHOfra0d49fJ9zdmbY51oRw5Esamly8PBj5vXugpJ1YcF4WtW8PK14ULwxTI\nvnAxdJyskIaJ1wA1ZtYsaSCwDZhuZi1dynUy8QMHYMmScFt+331hCXpuiXbX+CHNzaF3nhy/Hj8+\nzKcu9fh1Y2Mj9fX1pf1HeolZiKa4YkUIG1BXF3rn5883MmVKPf360WlLXiDNwl1QMs5Mbst9NwsX\nisss3isaWajznsiq9qzqhuxqv1LdJV/sY2btQHtMvyfpdeBqoKW78nv2hKlz69eHJdpr1gSjWLq0\nw7DPnu08/3rx4hBDpBzj11loIFIw7rq6sNpz9eowNbGpqZH+/es5c4ZOG3QY+tmzYXVlLr5MbW2I\nF1Nf3xEsbOjQdHvfWajznsiq9qzqhuxqL7buoiz2kTQaGA9s7m7/jBnQ0BBW9o0bFwxn5coOw16w\noG+NX5eD6uoQ/Cv39vhHH724zLlzHYZeVRXirjiOk216beJxKOU54AEz6zbc04EDMGdO5yGR/5fx\n60qiqipsVxpD3XGcyqdXs1MkXQX8AVhjZk/2UMbnVTmO4xRAyacYSloJvGNmiwo+ieM4jlMwvZmd\ncgvwN2A3YHH7npmtLZ48x3Ec51KUfLGP4ziOUzryjo8naZmko5J2JfI+K+kVSTslNcSHnUi6StIz\nknZJek3Sw4ljpklqkdQq6aHi/JzUtLfF8jskNVWY7n6SlkfdOyRNSRxzfcxvlfREqXUXWfvG2F52\nSNouaWiJdY+Q9FdJeyXtlnR/zB8iab2kfZLWSRqUOGappP2SmiWNT+TfE+t8n6S5pdRdJO0TEvnn\nYn3vkPRCJemW9OnYjt6XtKjLuVL1lyJrz89fzCyvDbiVMJ1wVyKvCbg1pucBj8X03cCqmO4PvAmM\nIlw8DgC1QD+gGRibr5ZyaI/f/w4MKbXeAnV/C1gW08OArYljNgOTYvpPwB0Z0r4RmJBindcA42N6\nILAPGAv8BPhuzH8IWBLTXwD+GNOTgVdjegjwBjAIGJxLZ0F7/H6qgut8GHADsBhYlDhP6v5SLO1x\nX17+kndP3MxeAk50yf5UzAf4MzAzVxyollQFDABOA6eAScB+M3vLzM4AvwOm56ulTNoBRAF3MYVy\nhbpzLxEcB/wlHnccOClposIK24+YWe7KvhKYUVrlxdGeOC7NOm83s+aYfg94HRhBaKfPxmLP0tFu\npxPqFDPbDAySNBy4A1hvZv8ys5PAemBaRrRDaOupkIfuGbHMcTPbBpztcqrU/aWI2iFPfynWH8Ue\nSV+J6a8SxEOYP/4f4G2gDfhpbMhXAwcTxx+KeeUgX+0QDH6dpC2SvpGm2ARddY+M6Z3AdElVkq4h\nXO1HEur3UOL4Sqrzy2nPsTze2j+SotbkYrZXgeFmdhQurFrOvZq7pzbdNf8wKdZ7gdqTGj8kqSne\n+pe8o5XjMrovF0ezrP7SS+2Qp78Uy8TvBb4taQtQDfw35k8mXGlqgE8AD8Yf2N3VvVxPWPPVDlBn\nZhOBLwILJBXhNdB505Pu5YQ/wi3Az4CXCb8jC3Xek3aAr5nZdcBtwG2S5qQhVBcvZuupzrrWr2LZ\nstV7L7STKDvKzCYBs4En4sW1pOShu8dTdJNXaXV+KfLyl6IsuzezVsJtI5LGAF+Ku+4G1prZeeC4\npJeBiYQr46jEKUYAR4qhJV8K0N4Wr6iY2XFJzxNu31666ORl0G1m54ALD0qi7v3ASTr3aiuuzi+h\nHTN7O37+W9IqQp3/tpQ6FRazPQf8xswaYvZRScPN7GgcojoW8w/Rff0eAuq75G8spW4omnYScdHC\n4AAAAx9JREFUbf1NSY3ABMLzoUrQ3RNl8ZciaSdffym0Jy4SVztJw+LnB4BHgF/GXf8Abo/7qoGb\nCGNFW4BPSqqV9EHgLuDFArWkqb1F0gB1zKaoBj4P7KkA3b+K3/tLGhDTU4EzZtYSG8YpSZMkCZgL\nNJAOvdIeh1c+FvP7AV8mnTpfDuy1zquRXyQ8jCV+NiTy50aNNwEn4230OmCqpEGShgBTY16p6bV2\nSYPj3ycKs4HqgL1l1n0P3bfbZO+7XP7Sa+0F+UsBT2FXEa5qpwlGNx+4n/A0tgX4UaJsNfD7KGIP\nnZ8gT4vH7AcezldHIVsxtAPXEJ527yAsdCq59jx118a81wgP0UYm9t0QNe8HnqzAOu9WO+HB8tZY\n77uBnxPXOJRQ9y2EOPm5/+vtsc1+lPAwdh+wARicOOYXhFkRO4HrE/nzYp23AnNTqPPeap8Q824G\ndsVz7ATmVZJuYDhh7Psk8M/YvgbGfan6S7G0U4C/+GIfx3GcDJPalC3HcRyn+LiJO47jZBg3ccdx\nnAzjJu44jpNh3MQdx3EyjJu44zhOhnETdxzHyTBu4o5zBcTVpY5TcXjDdPockh7LBeWP338oaaGk\nB2NEvmZJ30/sfz5GjNst6euJ/Hcl/UDSJkLYBcepONzEnb7IMkKcCmKcmLuAdmCMhYh8E4CJiehw\n883sRuBG4IEY4wRC6IVdZnazmb2S6i9wnCukKFEMHaeSMLO3JL0j6TpCKOHthEhwUyVtJwQcqgbG\nEKLDfUdS7gUZI2J+EyEM7uq09TtOPriJO32VXxOCbdUQost9DvixmT2dLKTwHs/bgclmdlrSRuDD\ncff75sGFnArHh1OcvsoLhChyEwmhX9cB98bwnkj6eAyJOwg4EQ18LJ3HvlN7NZnjFIr3xJ0+iZmd\nib3qE7E3vSGa9KYwTM67wBxgLfBNSc2EcKGbkqdJWbbj5I2HonX6JHFK4DZglpm9UW49jlMqfDjF\n6XNI+gzhZQAb3MCdvo73xB3HcTKM98Qdx3EyjJu44zhOhnETdxzHyTBu4o7jOBnGTdxxHCfDuIk7\njuNkmP8B5EOyRydnYfYAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot(x='year', y='unemployment')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Well, it **kind of** worked, at least!\n",
"\n",
"When pandas plots, it assumes **every single data point should be connected,** aka pandas has no idea that we don't want row 36 (Australia in 2016) to connect to row 37 (USA in 1980). In order to fix that, we just need to add in a `groupby`. Once we've grouped the data together by country, pandas will plot each group separately."
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"country\n",
"Australia Axes(0.125,0.125;0.775x0.775)\n",
"Germany Axes(0.125,0.125;0.775x0.775)\n",
"Japan Axes(0.125,0.125;0.775x0.775)\n",
"USA Axes(0.125,0.125;0.775x0.775)\n",
"dtype: object"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEPCAYAAAC0r/QVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XeYFFX28PHvGUBgQAkDEiQpStAVRDERdBAliC4goCCC\n6G8VE4LZdVEBXePumvZdEyJrAGUVB5QVMDAii0TJklHSABIURlHS3PeP2z00EztUdXV1n8/zzENP\ndVfVoRnO3D43iTEGpZRS/pTmdQBKKaWip0lcKaV8TJO4Ukr5mCZxpZTyMU3iSinlY5rElVLKx0pN\n4iLyhojsEJGlIcd6i8hyETkiIme7G6JSSqnihNMSfxPoXODYMqAn8JXjESmllApb2dJeYIyZJSIN\nCxxbDSAi4lZgSimlSqc1caWU8jFN4kop5WOlllNiJSK6OItSSkXBGFNqyTrclrgEvop7rrRAfPf1\n6KOPeh5DqsXu17j9HLtf4/Zz7OHGHa5whhiOA2YDTURkk4jcICI9RGQzcAHwiYh8GvYdlVJKOabU\nJG6MudYYU9cYU94Y08AY86YxJssYU98YU9EYU8cY0zUewarEYQz8979w0UUwdarX0SiVurRjsxiZ\nmZlehxA1N2M3Bj79FC64AO6/H+rUgawsZ66t73n8+TVu8G/sTsctkdReorqBiHH7Hsp9xsC0aTBi\nBOTmwqOPQu/esHQpXHMNrF7tdYRKJRcRwYTRsalJXJXIGJg+3SbvvXuPJu8yZezzeXlQsyYsWwZ1\n63oaakJr1KgRGzdu9DoMlYAaNmzIDz/8UOi4JnEVs+xseOgh+OkneOQRuPrqo8k71FVXQa9e0L9/\n3EP0jcB/SK/DUAmouJ+NcJO41sRVkX75Ba68Eu64A5Yvh379ik7gAB06wIwZ8Y1PKWVpEldFmjUL\nzj4brr22+OQdlJlpW+1KqfjTJK6KNGOGTc7hOOMMWy/fvNnVkJRSRdAkroqUnW3LJOFIS7MJX0sq\nym0nn3wyX375pddhJBRN4qqQfftgxQo7FjxcWhdXqrB///vftG/f3tV7aBJXhXz9NZx3HlSoEP45\nHTpoXVypgowxuL3tgiZxVciMGeGXUoKaNYPffoMihrsqH0hLS2PDhg35399www088sgjAHz11VfU\nr1+ff/zjH9SqVYuTTjqJsWPH5r/24MGD3HvvvTRs2JA6depw2223ceDAgWPOffbZZ/PPnTRpEp9+\n+ilNmzalRo0aPPnkk/nXGjlyJH369KFv376ccMIJtG7dmqVL83eGPMbBgwcZNmwYJ510EvXq1eOu\nu+7i0KFDAJx55plMmTIl/7WHDx+mZs2aLF26lI0bN5KWlsbYsWNp0KABGRkZvPrqqyxYsICWLVtS\nvXp1hgwZcsy9xowZw+mnn05GRgZdu3Zl06ZNx7x3r776Kk2aNCEjI4M77rgDgFWrVnHrrbfyzTff\ncPzxx1O9evVo/mlKpUlcFRJNEhfRurifldZa3L59O7m5ueTk5DB69Ghuv/129u7dC8D999/PunXr\nWLp0KevWrWPr1q2MGjXqmHMPHjxITk4OI0eO5KabbuLdd99l0aJFzJw5k1GjRh0z2WXy5Mlcc801\n/PTTT/Tr148ePXpw5MiRQjE9/vjjzJs3j6VLl7JkyRLmzZvH448/DsDAgQN5++238187ZcoU6tat\nS4sWLfKPzZs3j3Xr1vH+++8zbNgwnnjiCb788kuWL1/OhAkT+PrrrwHIysriqaeeIisri507d9K+\nfXv69et3TCxTpkxh4cKFLF68mAkTJjB9+nSaNWvGK6+8woUXXkhubi579uwJ818jQm4vu2hvofxi\nzx5jKlc25sCByM995RVjBgxwPqZkEM7/Azs/NvavaIiIWb9+ff73gwYNMg8//LAxxpjs7GyTnp5u\njhw5kv/8iSeeaObOnWuMMaZSpUpmw4YN+c/Nnj3bnHzyycecm5eXZ4wxJjc314iImT9/fv7rzznn\nHDNp0iRjjDEjRowwF154Yf5zeXl5pk6dOmbWrFnGGGMaNWpkvvjiC2OMMY0bNzZTp07Nf+20adNM\no0aNjDHG5OTkmBNOOMHk5uYaY4zp3bu3efbZZ40xxvzwww8mLS3NbNu2Lf/cjIwMM2HChPzve/Xq\nZV544QVjjDFdu3Y1Y8aMyX/uyJEjJj093WzatCn/vZs9e3b+81dffbV5+umnjTHGjB071rRv377I\n9zyouJ+NwPFSc6y2xNUxZs60HZrHHRf5ucHOTZ2YGB2n0rgbMjIySEs7mi7S09P55Zdf2LlzJ/v3\n7+ecc86hevXqVK9ena5du7J79+5jzg229CtWrAjAiSeemP98xYoV+eWXX/K/r1+/fv5jEaFevXrk\n5OQUiiknJ4cGDRrkf9+wYUO2bdsGQJ06dWjbti0ffvghe/fu5dNPP6V/gSnFBWOoVatWkTFt3LiR\noUOH5v/9gn+frVu35r8+9NzgexMvru/so/wlkqGFBZ12Ghw5Ahs2QOPGjoalXJaens7+/fvzv9++\nffsxybQ4NWrUID09nRUrVlCnTh1HYtkcMuHAGMOWLVs46aSTCr2ubt26bNy4kebNmwM22dYNWcBn\n4MCBjB49mkOHDtGmTZuo46tfvz7Dhw8vVEIJRzz2kteWuDpGNPXwIBEdauhXrVq1Yty4ceTl5TF1\n6lS++uqrsM4TEW666SaGDRvGzp07Adi6dSvTp0+POpaFCxeSlZXFkSNHeO6556hQoQLnn39+odf1\n69ePxx9/nF27drFr1y4ee+wxBgwYkP98jx49+Pbbb3nxxRcZOHDgMeeaCD6y3HLLLTzxxBN89913\nAOzdu5cPPvggrHNr1arFli1b8jtc3aBJXOXbvdu2olu3jv4amsT96fnnn2fy5MlUq1aN8ePH07Nn\nzxJfH9rCfOqppzj11FO54IILqFq1Kp06dWLNmjVhnVvU9927d+f999+nWrVqvPvuu0ycOJEygbUf\nQl87fPhwWrduTYsWLWjZsiWtW7fmL3/5S/7zFSpUoFevXnz//fdcddVVEcUQ+n2PHj148MEH6du3\nL1WrVqVFixZMDdkJpaRzL7nkEs444wxq1659TPnGSbqKoco3cSK8/rrd9CFa69dD+/awdattmStL\nVzEMz8iRI1m/fj1vvfWWI9d77LHHWLt2rWPXc4OuYqgcE0spJeiUU6BsWSihIaZUXOzZs4c33niD\nwYMHex2KqzSJq3xOJPHgeHGdvam8NHr0aBo0aEC3bt1o27at1+G4SsspCoAff4QmTWDXLtuSjsWb\nb9qt3N57z5nYkoGWU1RxtJyiHPHVV9CuXewJHI6uo6I5Syn3aRJXgDOllKBGjaBiRVi50pnrKaWK\nV2oSF5E3RGSHiCwNOVZNRKaLyGoRmSYiVdwNU7nNySQOWhdXKl7CaYm/CXQucOxB4HNjTFPgS+DP\nTgem4mfbNtixA1q2dO6aOl78WA0bNkRE9Eu/Cn01bNgwpp+tsDo2RaQh8LExpkXg+1XAxcaYHSJS\nG8g2xjQr5lzt2Exw48fD++9DVpZz19y82e7RuWOH3flHKRUZEXc7Nk80xuwAMMZsB2pGeR2VAGJZ\nL6U49etDlSp2hyCllHvisgDWiBEj8h9nZmaSGe4OvCouZsyA225z/rrBksqZZzp/baWSTXZ2NtlR\ndCRFW05ZCWSGlFNmGGOaF3Nu3Mopzz8P554LST6231Fbt9pa+I8/Ol/2ePdd+PBDO51fKRUZp8sp\nEvgKmgwMCjy+HpgUUXQu+fhjO9FEhW/GDLj4Ynfq1h062PHneXnOX1spZYUzxHAcMBtoIiKbROQG\n4CngMhFZDVwa+N5zW7fClCmaNCLh9NDCUHXrQo0aUMwWiUopByTVtPsTTrCdaRMn2rKKKt0pp9hP\nMGec4c71b7kFmjaFu+5y5/pKJSu3R6cknNxcu6tMv342KanSbdwIv/4Kp5/u3j2CU/CVUu5ImiS+\ndav9+H7llZrEw5WdbWdWiovrfl98sd23s4jNypVSDkiaJJ6TAyedBBdeaCeahGzTp4oxY4ZN4m6q\nXRvq1IHFi929j1KpKmmSeLAlXrYsdO0Kn3zidUSJzRh3OzVD6RR8pdyTNEk82BIHW1LRJF6y77+H\ngwdtp6PbdDEspdyTNEl869ajSbxzZ/j6a9tpp4oWbIW7WQ8PatcOZs/WoZ9KuSGpknjduvZxlSp2\niOHnn3sbUyJzY72U4tSpA9WqwapV8bmfUqkkaZJ4aDkFdJRKSeJZDw9q1w5mzYrf/ZRKFUmTxEPL\nKWCTuM7eLNq6dbaM0rhx/O6pSVwpdyRFEs/Lg+3b7cf2oMaN7Uf4hQu9iytRrVgBZ50Vn3p4UNu2\nmsSVckNSJPGdO20dvHz5Y49rSaVoW7bY9b7jqVkz2LvXlr2UUs5JiiQe2qkZ6oorNIkXxYsknpZm\nW+P/+19876tUskuKJF6wUzNIZ28WbcsWqFcv/vfVurhSzkuKJF6wUzNIZ28WzaskrnVxpZyXNEm8\nqHIKaF28KF4l8datYfVqu+KkUsoZSZHEiyungJ29OWuWzt4MMqb4Ty5uK18eWrWCuXPjf2+lklVS\nJPGSWuJVqsB55+nszaDduyE93X55QeviSjkrKZJ4SS1x0FEqoTZv9qaUEqR1caWclRRJvLTygM7e\nPMqL4YWh2rSBefPg8GHvYlAqmfg+if/+O+zbZzfkLU5w9uaCBfGLK1F51akZVL06NGgAS5Z4F4NS\nycT3SXzbNjvdPq2Uv4muMW55ncRB6+JKOcn3STzckRY61NBKhCSudXGlnJMUSby4kSmhdPamlQhJ\nvF07O/3eGG/jUCoZxJTERWSoiCwLfN3pVFCRKG1kSlCZMjp7ExIjiTdqZFdQ/P57b+NQKhlEncRF\n5Azg/4DWwFnAlSISxxWqrXBb4qAlFWO8H2IINoFrXVwpZ8TSEm8OzDHGHDDGHAG+Ano6E1b4wm2J\ng87e/OknO2uycmWvI9EVDZVySixJfDlwkYhUE5F04HIg7iOQI5lCnuqzNxOhlBKkLXGlnFE22hON\nMatE5GngcyAXWAwUOYVjxIgR+Y8zMzPJzMyM9raFRFJOAVtSycqC7t0dC8E3EimJt2hhSzu7d0NG\nhtfRKOW97OxssrOzIz5PjENDBETkr8BmY8wrBY4bp+5RkDFQqRL8+GP4JYLt26F5c9i4EU44wZWw\nEtZrr8H8+fD6615HYnXqBEOG2F+sSqljiQjGmFI3UYx1dErNwJ8NsPXw8bFcL1I//wzlykVW461d\nGy69FN591724ElUitcRB6+JKOSHWceIfishyYBJwmzFmrwMxhS0nJ7JSStDgwfDqq6k3TjnRkrjW\nxZWKXdQ1cQBjzEVOBRKNaNfFvuQSuzHB/Pm2ozNVJMLwwlDnnw+LFtn1bypU8DoapfzJ1zM2I+3U\nDEpLg5tvtq3xVOL1CoYFVa4Mp5+uC5MpFQtfJ/FIxogXdMMNMHEi7I1rAcg7iTLRpyCtiysVG18n\n8Vi2GTvxRLjsstTp4Ny3z34CSbQROVoXVyo2vk/i0ZRTglKpgzPROjWDgi1x3bBDqej4OonHUk4B\n6NAB9u9PjY17EzWJ16ljN4pYudLrSJTyJ18n8Vhb4qnUwZmoSRy0Lq5ULHybxA8fhp077eSdWFx/\nPXz0kZ04lMwSsVMzSOviSkXPt0l8xw67r2a5crFd58QToUsXeOcdZ+JKVIk2vDCUJnGloufbJB5r\nKSVUKnRwJnI5pVkzO3omJ8frSJTyH98m8Vg7NUNlZsKBA/DNN85cLxElchIXgTZttC6uVDR8m8Rj\nGSNekIjt4HztNWeul4gSOYlDySWVgwftVm4zZ8J772mLXalQMa2d4qVoF78qzqBBcNppdvebatWc\nu24iyM2FQ4egalWvIyleu3Z2Fu2LL8KmTUe/Nm8+2oHdoIHtB7ntNrj2WnjggcSt8ysVL9oSD6hR\nw26k/Pbbzl0zUWzdalvhUurKxN455xy7INaaNbazuWdP+PvfYc4cO5Z/0ybbUs/KsmPK09OhZUu4\n5Rb44Qevo1fKO75tiTvZsRl0881w++12o4JETniRSuThhUHly8Nbb4X32lq14Jln4L774Lnn7C+A\nnj3hoYfglFPcjVOpROPblriTHZtBF18MR47A7NnOXtdriTy8MBY1a8ITT8DatfYX+nnn2bLY2rVe\nR6ZU/Pg2iTtdToGjHZzJNoMz0Ts1Y1W9OowaBevW2ZZ4mzbw0kteR6VUfDi2x2axN3Bhj81ff7U1\n7P37nS977NoFp54KGzbY5JAMBg+GVq1s/TgVrFxp18XZuNGWaZTyo7jssemV4MgUN+rWNWpAt27h\n12f9INlb4gU1bw5nngkTJngdiVLu82USd6OUEmrwYPjnP22HYDJItSQOtnNaSyoqFfgyiTs9Rryg\n9u1tB1mrVvD883axLT9LxSTerZsdX54Kywyr1ObLJO52S1wEhg+308AnT7bjl/26D+T+/fYrI8Pr\nSOKrTBk7XFRb4yrZ+TaJu9kSD2raFL74AoYNgyuugKFD7UJNfhJshSfTuPdw3XgjTJkC27d7HYlS\n7vFlEndjjHhxRGDAAFixAn75Bc44w26w7JcVD1OxlBJUvTr06QOvv+51JEq5J6YZmyJyF/B/QB6w\nDLjBGHPQicBK4nY5pSgZGfDGG3YRpsGDYexY+1G9YUM7QWj3btvi277drnUefLx9O1x1FfTqFd94\ng1I5iYPt4OzSBR58MPa155VKRFG3xEWkLjAEONsY0wL7C6GvU4GVxO2OzZJcdBEsXmxnB7ZqZfeI\nrFABTj/dLsr0zDMwbZpN3rVrQ5Mm8Ne/ehMraBI/80y7sNnEiV5HopQ7Yl07pQxQSUTygHTA9UVC\njfE2iYOdQDJ8uJ3deeiQXbCpuFbekSPwr3/B+vXQuHF84wSbxM84I/73TSRDhtg1Vq65xutIlHJe\n1C1xY0wO8HdgE7AV+NkY87lTgRVn1y6oVAkqVnT7TqU78URb1inpY3qZMrac8sEH8YsrVKq3xAG6\nd7erIC5a5HUkSjkv6pa4iFQFugMNgb3AByJyrTFmXMHXjhgxIv9xZmYmmZmZ0d42rp2aTunTB+6/\n365/HW+axKFsWbj1VtuHMWaM19EoVbTs7Gyys7MjPi/qtVNEpDfQ2RhzU+D7AcD5xpg7CrzO0bVT\n/vtfu3HA1KmOXdJ1hw/b8s+cOfFfKrVmTVi+3C7fmsp27bK18bVr7dIKSiW6eKydsgm4QEQqiIgA\nHYGVMVwvLF7Xw6NRtqxd7zreJZXff7e7+tSsGd/7JqIaNaBHDxg92utIlHJWLDXxecAHwCJgCSCA\n67tUejG80Al9+sB//hPfewYnRaX5cjaA84YMsZ3Mfl9GQalQMf33NsaMNMY0N8a0MMZcb4w55FRg\nxfFrEs/MtNuIxXMrMa2HH+vss+3mGJMnex2JUs7xXRvNj+UU8Kakokm8MF3dUCUb3yVxv7bEIf4l\nFU3ihV11FaxeDcuWeR2JUs7wZRL3Y0scbEllwwa740w8aBIv7Ljjjq4Xr1Qy8FUSP3gQfv7ZTrLx\no3Ll7MSTeJVU/LDLvRcGD7a7/vz0k9eRKBU7XyXxbdvseOcyZbyOJHrxLKkk6y73sapdGy6/XCf+\nqOTgqyTu107NUJdcYndl37TJ/XtpOaV4Q4bAyy/7Z0lhpYrjqyTu507NoGBJ5cMP3b3PwYOwZ49/\nS09uO/98+28xe7bXkSgVG98lcb+3xCE+JZWcHLtMrp9LT24Kbvbx9tteR6JUbHyVxP24+FVROna0\nw9w2b3bvHlpKKV3//vaX6YEDXkeiVPR8lcSToZwC9mP8H//obklFk3jpGja0m0ZMmeJ1JEpFz1dJ\nPBk6NoPcLqno8MLwDBgA77zjdRRKRc9XSTxZWuIAl14KK1faFrMbdHhheHr3hi+/tJ3ASvmRb5K4\nMcmVxI87zpZU3Nr7Ucsp4alSBTp3tpN/lPIj3yTx3Fz75/HHexuHk9wsqWgSD9911+koFeVfvkni\nwVa4lLrPhX9cdhmsWGFr/U7TJB6+Ll3sjj/r13sdiVKR81UST5ZOzaDjjoMrr3R+lMqhQ7Bzp51e\nrkpXrhxcc412cCp/8k0ST5Yx4gX17u18SWX7djtTs2zU22CnnuDEH52Gr/zGN0k8mTo1Q3XqZNe2\n3rbNuWvq8MLInXuund06Z47XkSgVGd8k8WQaIx6qfHm44gpnSyo6vDByOg1f+ZVvkniytsTBjlJx\nco1x7dSMznXX2aGGBw96HYlS4dMkngAuuwwWLoS9e525nibx6DRqBKefDp9+6nUkSoXPN0k8Wcsp\nABUrQtu28MUXzlxPk3j0tKSi/MYXSfyXX+y06GRN4mBnDU6b5sy1NIlHr08f+Owz3bpN+UfUSVxE\nmojIIhH5NvDnXhG508ngghYsgBYt7HjeZBVM4k4McdMkHr2qVe2IoXhtoadUrKJO4saYNcaYVsaY\ns4FzgF+BjxyLLMS8eXYnlmTWvDkcOWLXGY/FkSN2nHgyf2pxm5ZUlJ84VU65FFhvjHFlm4N58+C8\n89y4cuIQsdO/Yy2pbN8ONWok96cWt3XpAqtWwfffex2JUqVzKolfA4x36FqFzJ2b/EkcnKmLaykl\ndscdp9PwlX/EPDFbRMoBfwQeLO41I0aMyH+cmZlJZmZm2NfPyYH9+6Fx4+hj9IuOHeHGG+H336FC\nheiuoUncGQMG2K/hw5Nr0TWVuLKzs8nOzo74PDEx9qSJyB+B24wxXYp53sRyj6wsePXV1Bm726YN\njBxpx45H44UX7Gp8L77obFypxhho2tTWxpO9P0YlJhHBGFNqE8KJcko/XCylpEKnZqhYSypr1kCD\nBs7Fk6pEdJ1x5Q8xJXERqYjt1HRpf5rU6NQMFUvn5oEDdmhcz57OxpSqrrsO3n9fp+GrxBZTEjfG\n/GaMqWmMyXUqoFB5eTB/vl1hLlW0bm37AbZujfzcSZPs7u2p0H8QD6ecYucnjHftc6ZSsUvoGZur\nV9vhcjVreh1J/JQpYzdRjqY1/vrr8Kc/OR9TKnv4YXj8cTh82OtIlCpaQifxVBlaWFA0dfHvv4fF\ni7WU4rTMTDtxSlvjKlEldBJPtU7NoM6d4fPP7ezLcL3xBvTvH/3QRFW8Rx+1rfFI/j0KMsYOlVXK\naQmfxFOxJX7SSbb1t2BBeK8/fBjefFNLKW7p0MFud/fee9Ff46WX4NRTnd3BSSlI4CT+22/w3XfQ\nqpXXkXijc2eYOjW8106daocV/uEP7saUqkRsa/yxx6JrjW/cCKNGweWX25mghw45H6NKXQmbxBcv\ntotCVazodSTeiKQu/vrrcNNN7saT6jp2hIwMu/NPJIyBW2+Fu++G116D44+HBx5wJ0aVmhI2iadq\np2ZQ+/awfHnp61rn5MDMmXD11fGJK1VF2xofP94uhXDffZCWZicPZWXZ8edKOSFhk3iqdmoGVagA\n7dqVvtvP2LF2I4PKleMSVkq77DKoUiX8/VB37bIt8NGjj64qWb263RT7jjtgxQr3YlWpI6GTeCq3\nxKH0unhenh2VoqWU+Ahtjefllf76e+6Bvn0L/xy3agV/+xtcdRXs2+dOrCp1JGQS37ULdu6EZs28\njsRbpe32M2OGbYG3bh3fuFJZ585QqZJtTZfks8/gq6/s0MSiXH89XHIJDBrkzG5OKnUlZBKfP98m\nprSEjC5+mja1MzhXriz6+dGjbStcl0qNHxF45JGSW+O//gqDB8PLL5dc5nr+ebu8wrPPuhOrSg0J\nmSa1lGKJFD9KZdcuuzxv//7xjyvVXX45lC9vOyiLMmIEXHghdO1a8nXKl7f19eeegy+/dDxMlSIS\nMonPnZvanZqhiquLv/MOXHklVKsW/5hSXbA1PmpU4db4woXw1ls2MYejfn37b9m/P2x2ZXNDlewS\nLokboy3xUB07wuzZdvJTkDG62JXXrrjClromTz567NAh+2/y7LN2hme4OnaEYcPsKKMDB5yPVSW3\nhEviGzbYCT66W7tVpQq0bGnHggfNmWMTxkUXeRdXqgttjQc7Jp97zq64OWBA5Ne7/377Mz9smLNx\nquSXcElcW+GFFdwoItgK1w5Nb/3xjzaBf/wxrFsHzzwDr7wS3b+LiB3z/9lndl14pcIV8x6bpd4g\nwj0277oLatfWqcmh5s+3Q9K++86OK27QwK61XquW15Gpjz6ywwirVbMdmffcE9v1Zs6Efv1g2TI7\nMUilrnjuseko7dQs7Oyz4ccfbcfX+PG2hqoJPDF0725Xkfz5Zxg6NPbrXXSRnQR0112xX0ulhoRq\niR86BFWrwvbtdqEgdVS/fjZ5v/qqrcOWNnxNxc+qVbYfp2FDZ673yy92W7iXXoJu3Zy5pvKfcFvi\nZeMRTLiWLrX7GmoCL6xLFzvqYd8+6NTJ62hUKKdnFleubJdTGDDALoJWtaqz11fJJaHKKdqpWbxO\nneyCSTfeaIe2qeTWoYPtOL37bq8jUYlOk7hP1Kljh5/pYlep4+mn7UzOcDcHUakpoWrip58O48bB\nWWe5GpJSvvH55/bT17Jlds6ASh3h1sRjSuIiUgUYDfwByANuNMbMLfCasJL43r12b8mff4ayCVWp\nV8pbN99s/3ztNW/jUPEVr47NF4D/GmP6iEhZIL2oF73yCtxyS8kXWrDArrOsCVypY/3tb3DmmbZV\nfumlXkejivPRR3a9+fLlIT3djlgKfoV+X6+e3RTEqVVao06ZInI80N4YMwjAGHMYKHKJ+1Gj7Ljm\nnj2Lv57Ww5Uq2gkn2Fb4n/5kyyo6eivxbN5slx9+4w27bs5vv9mv/fuPPg5+jRtnt+x75hln7h1L\nu/cUYJeIvAm0BBYAQ40xvxV84Sef2CFyGRnFr/cxb57dBUUpVVjnznaewAMPwL/+5XU0KlRent3c\nY+hQu7Joaf70J7tU8WmnOTNQIZYkXhY4G7jdGLNARJ4HHgQeLfjCyZNH0KWLnaDy0kuZ3Hhj5jHP\nG2Nnaoa7fKdSqejvf7dlld697a5AKjG88IJtYYe7VEhGBkyZYjdDb9TI7t0KkJ2dTXZ2dsT3j7pj\nU0RqAd9Jamp5AAAQoUlEQVQYY04JfN8OeMAYc2WB1+V3bL73Htx7L8yaZYMP2rLFTi3fsUMXdVKq\nJFOmwJAhdmKcbo7tveXLITPTNkIbN47s3K+/hl697DDSP/yh8POur51ijNkBbBaRJoFDHYHvSjqn\nb1+75GbnznZnmqDgeimawJUqWbdu0LYtPPGE15GoAwfguuvgqaciT+BgW+LPPWdLMNu3Rx9HrEMM\nW2KHGJYDNgA3GGP2FnhNoSGGf/6z/e3z5Zd209kHHrCtiocfjjoUpVLGli12jfklS+xIB+WNBx+0\n+99mZcXWAB050n7Cys62o1iC4jJOPBxFJXFj7ASGHTvs2smdOtk3pHNnV0NRKmk89BBs2wZvvul1\nJKnp66/h6qvtL9JIdnEqijEwcKAdyfKf/xwdepjQSRzsioU9e9o1k7Oy4IcfdP1kpcK1dy80aWI3\nkWjRwutoUsu+ffaT0IsvhjcaJRwHDtjG7PnnHx16mPBJHOxvno4dYfduWLPG1TCUSjovvWQ/huva\nKvF1ww1QrpzzM2h377ZDD++9187S9cVStOnp9odQE7hSkRs82LYGP/vs6DA15a6JE20pZfFi569d\ncOhhuBJqASylVGQ++AD++ldYuNC5adyqaNu22aVBPvrItpjdEhx6uHOnT7dnU0qFr1cvqFAB3n3X\n60iSmzHwf/9nyxxuJnCwLfHx48N/vbbElfK5WbOgf3+7eXaFCl5Hk5xefhnGjIHZs209PB580bGp\nlHJGz562hXj//V5Hknw2bLCL882a5fxWfCXRJK5UClm9Gtq1s5s2Z2R4HU3yyMs7ulXePffE996u\nT7tXSiWOpk2hTx94/HGvI4nd55/Dr796HYX1//4fHD5st0ZMVNoSVypJ7NhhtzicPx9OOcXraKJz\n+DBUrWpnb4fOXvTCunVwwQW2Dt6kSemvd5q2xJVKMbVq2RbjX/7idSTRW77cbgq+cycMH+5dHHl5\ndlLP8OHeJPBIaBJXKoncfTfMnGlb4340Z46t7U+cCO+/D//+tzdxvPiiXdTqzju9uX8kNIkrlUQq\nVbKr4t13nx3b7Ddz5tgSRo0a8PHH9u8xa1Z8Y1izxvYtjBnjjwlUPghRKRWJQYNsOeKTT7yOJHLB\nJA62vv/227bDdsOG+Nz/yBH7/j36KJx6anzuGStN4kolmbJl7WYDt90W22YD8bZnD+TkHLvLTefO\ntsZ/5ZV25Ua3Pf88HHcc3H67+/dyiiZxpZJQp052mnifPnDwoNfRhGfuXGjdGsqUOfb4HXfYLdD6\n9rWjV9yyahU8+aR/yihBPgpVKRWJRx6xa/Qn8hjnUKGllIJeeMGWOu6+2517B8soo0b5b3imJnGl\nklRamq0pz5gBr7/udTSl++ab4pN42bIwYYJddvfll52/99//bpfGvuUW56/tNp3so1SSW73arow3\naZL7K/BFKy/PfmpYs6bk7c7WrbNDEN9+27k11L/7Di66CBYsiGwdb7fpZB+lFGCn5L/5pq2P5+R4\nHU3Rgmu+lLZf5amn2vHj/fvb8kusliyBa6+1a7InUgKPhCZxpVJAt262VNCrl93PMdGUVA8v6OKL\n7ZomvXvb7R2nTo18TPycOXbES9eudpPim2+OPOZEoUlcqRTx0ENQt64dPpdoFc5vvoms1BMcOz5o\nEDzwgN0seuzYkn9BGQNffAGXXGJHulx+ub3G3Xfb2Zl+pTVxpVJIbq5NlrffDrfe6nU0R515pi35\ntG4d+bnG2JUP//Y3u/bKkCH2U0fVqkef//hjeOIJO9b8z3+Gfv3it7lDtOKynriI/ADsBfKAQ8aY\n84p4jSZxpRLIunXQtq3dn7N9e6+jgX377CeEPXvsRJtYLFliR5p88glcfz2cdZb9vmxZO2moR4/C\n49ATVbyS+AbgHGPMTyW8RpO4Uglm6lS48UaYNw/q1fM2ls8/t+u9fP21c9fcssUuYrVsmV3EqksX\n/5VMwk3iZWO9D1pXV8p3unSBoUOhe3eYPt3b3YAi6dQMV7168Mwzzl4zUcWagA0wTUTmi8hNTgSk\nlIqP+++HSy+1CXTNGu/icCOJp5JYW+JtjDHbRaQm8JmIrDTGFFo4csSIEfmPMzMzyczMjPG2SqlY\nicDTT8Npp9na+IQJdvhePBljk/hrr8X3vokoOzub7OzsiM9zbHSKiDwK5Bpj/lHguNbElUpwX3xh\nJ70884ztEIyXtWvtWO9Nm+J3T79wfcamiKSLSOXA40pAJ2B5tNdTSnmnY0fIzrYLQA0fbqfBx4OW\nUmIXS028FjBLRBYBc4CPjTHTnQlLKRVvzZvbpDpjhh1H/dtv7t9Tk3jsok7ixpjvjTFnGWNaGWPO\nNMY85WRgSqn4q1nTllbKlIEOHWDHDnfvF+lMTVWYDg9USh2jQgV49107DPGCC2DFCnfu8+uvduGr\nVq3cuX6qiHV0ilIqCYnAiBF25EqHDvDpp3DOOc7eY+FCO92+QgVnr5tqNIkrpYrVv7+dst6vH3z7\nLVSu7Ny1tZTiDC2nKKVKdM01diOGoUOdva52ajpDk7hSqlQvvggzZ9oJQU4ITvLRJB47TeJKqVJV\nrgzjxtmd5zdujP16wck9DRvGfq1Up0lcKRWWc8+Fe+6BAQPs7vCxCG6K7LeVBRORJnGlVNjuu89u\npvDkk7FdR0spztEkrpQKW1oavPUW/POftjUdrTlzdGSKU3R7NqVUxLKy7N6UixZBlSqRnfv773b9\n8h9/hEqV3IkvGbi+AJZSKnX16AGdOtm9OiO1aBE0baoJ3CmaxJVSUfnHP+ysy3feiew8rYc7S5O4\nUioq6ekwfjzcdRds2BD+eVoPd5YmcaVU1M46y+4if+21cOhQeOcEhxcqZ2gSV0rF5M47oVo16NvX\n7tRTkq1bYf9+OPXU+MSWCjSJK6VikpZmp+O3bAlt2sDAgcVvvDx3rk7ycZomcaVUzI4/Hh55BNat\ns8vXtm0L111n1wsPpaUU52kSV0o5pkoVePhhWL/ebvd20UW2Xr5ypX1eR6Y4Tyf7KKVck5trZ3c+\n95zdjPnjjyEnB044wevIEl+4k300iSulXJebC//6l22Rjx3rdTT+oElcKaV8TKfdK6VUCog5iYtI\nmoh8KyKTnQhIKaVU+JxoiQ8FvnPgOgklOzvb6xCi5tfY/Ro3+Dd2v8YN/o3d6bhjSuIiUg+4HBjt\nTDiJw68/IODf2P0aN/g3dr/GDf6NPaGSOPAccB+gPZdKKeWBqJO4iHQDdhhjFgMS+FJKKRVHUQ8x\nFJEngOuAw0BF4HhgojFmYIHXaStdKaWiELdx4iJyMXCPMeaPMV9MKaVU2HScuFJK+ZjrMzaVUkq5\nJ+KWuIi8ISI7RGRpyLEWIjJbRJaIyCQRqRw4XlZExorIUhFZISIPhpzTRURWicgaEXnAmb9O3GL/\nIfD6RSIyL8HiLiciYwJxLwqUuoLnnB04vkZEnnc7bodjnxH4eVkUmFxWw+W464nIlyLynYgsE5E7\nA8erich0EVktItNEpErIOS+KyFoRWSwiZ4Ucvz7wnq8WkYFF3S/BYm8VcvxI4P1eJCJZiRS3iDQN\n/Bz9LiJ3F7hWXPOLw7FHll+MMRF9Ae2As4ClIcfmAe0CjwcBowKP+wHjAo8rAt8DDbC/PNYBDYFy\nwGKgWaSxeBF74PsNQDW3440y7tuANwKPawILQs6ZC5wXePxfoLOPYp8BtIrje14bOCvwuDKwGmgG\nPA3cHzj+APBU4HFXYErg8fnAnMDjasB6oApQNfjYD7EHvt+XwO95TeAc4DHg7pDrxD2/OBV74LmI\n8kvELXFjzCzgpwKHmwSOA3wO9Aq+HKgkImWAdOAAsA84D1hrjNlojDkEvAd0jzQWj2IHO5wybv0J\nYcZ9VeDx6cAXgfN2Aj+LSGsRqQ0cb4wJ/mZ/C+jhbuTOxB5yXjzf8+3GDp/FGPMLsBKoh/05/Xfg\nZf/m6M9td+x7ijFmLlBFRGoBnYHpxpi9xpifgelAF5/EDnEcOhxB3D0Cr9lpjFmIHSEXKu75xcHY\nIcL84tR/iuUicmXg8dXY4AE+APYD24AfgL8FfpBPAjaHnL8lcMwLkcYONsFPE5H5InJTPIMNUTDu\n+oHHS4DuIlJGRE7G/ravj31/t4Scn0jveWmxB40JfLQfHsdYEZFG2E8Tc4BaxpgdYP/jAicGXlbc\nz3TB41uJ4/seZeyhMZYXkXmBj/6uN7SCSom7Zimne5pfYowdIswvTiXxG4E7RGQ+UAk4GDh+PvY3\nTW3gFODewF+wqN/uXvWwRho7QBtjTGvskgO3i0i7uEZsFRf3GOx/wvnAP4D/Yf8efnjPi4sd4Fpj\nTEugPdBeRK6LR6CBev0HwNBAC6u496zg+yuB13r2vscQOyGvbWCMOQ/oDzwf+OXqqgjiLvYSRRxL\ntPe8JBHll7JR3KAQY8wa7MdGROQ0oFvgqX7AVGNMHrBTRP4HtMb+ZmwQcol6QI4TsUQqith/CPxG\nxRizU0Q+wn58m1Xo4h7EbYw5AuR3lATiXgv8zLGt2oR7z0uIHWPMtsCfv4rIOOx7/o6bcYpIWex/\nyLeNMZMCh3eISC1jzI5AierHwPEtFP3+bgEyCxyf4Wbc4FjshPysfy8i2UArbP9QIsRdHE/yi0Ox\nE2l+ibYlfsw0exGpGfgzDRgOvBx4ahNwSeC5SsAF2FrRfOBUEWkoIscBfYF4LWUbS+yrRCRdjo6m\nqAR0ApYnQNyvBL6vKCLpgceXAYeMMasCPxj7ROQ8ERFgIDCJ+Igp9kB5JSNwvBxwBfF5z8cA3xlj\nXgg5NhnbGUvgz0khxwcGYrwA+DnwMXoacJmIVBGRasBlgWNuizl2Eaka+P+J2NFAbXB/xdLS4r6e\non9uQ1vfXuWXmGOPKr9E0Qs7Dvtb7QA20d0A3IntjV0FPBHy2krAhEAQyzm2B7lL4Jy1wIORxhHN\nlxOxAydje7sXAcviEXuEcTcMHFuB7USrH/LcOYGY1wIvJOB7XmTs2I7lBYH3fRl24TVxOe62wJGQ\nf+tvAz+z1bGdsauBz4CqIef8EzsqYglwdsjxQYH3fA0wMA7veayxtwocuxBYGrjGEmBQIsUN1MLW\nvn8G9gR+vioHnotrfnEqdqLILzrZRymlfEyn3SullI9pEldKKR/TJK6UUj6mSVwppXxMk7hSSvmY\nJnGllPIxTeJKKeVjmsSVCkNgdqlSCUd/MFXSEZFRwUX5A98/LiJDROTewIp8i0Xk0ZDnPwqsGLdM\nRP4UcjxXREaKyDfYZReUSjiaxFUyegO7TgWBdWL6AtuB04xdka8V0DpkdbgbjDHnAucCQwNrnIBd\nemGpMeZCY8zsuP4NlAqTI6sYKpVIjDEbRWSXiLTELiX8LXYluMtE5FvsgkOVgNOwq8MNE5HgBhn1\nAsfnYZfBnRjv+JWKhCZxlaxGYxfbqo1dXe5S4EljzOuhLxK7j+clwPnGmAMiMgOoEHj6d6OLC6kE\np+UUlayysKvItcYu/ToNuDGwvCciUjewJG4V4KdAAm/GsbXvuG1NplS0tCWukpIx5lCgVf1ToDX9\nWSBJf2PL5OQC1wFTgVtEZDF2udBvQi8T57CVipguRauSUmBI4EKgtzFmvdfxKOUWLaeopCMizbGb\nAXymCVwlO22JK6WUj2lLXCmlfEyTuFJK+ZgmcaWU8jFN4kop5WOaxJVSysc0iSullI/9f0rxuQd1\njJlZAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEPCAYAAAC0r/QVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n0ySulFI+pklcKaV87P8Bzf5SPuUVKpsAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEPCAYAAABShj9RAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEPCAYAAAC0r/QVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.groupby('country').plot(x='year', y='unemployment')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Oh boy, maybe that was a little too separately! We'll talk about this more when we discuss matplotlib-y stuff like **figures, axes and subplots**, but the basic idea is first we need to **create a graph**, and then we'll tell pandas to keep drawing on top of the same graph for every single chart."
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"country\n",
"Australia Axes(0.125,0.125;0.775x0.775)\n",
"Germany Axes(0.125,0.125;0.775x0.775)\n",
"Japan Axes(0.125,0.125;0.775x0.775)\n",
"USA Axes(0.125,0.125;0.775x0.775)\n",
"dtype: object"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAEPCAYAAAC0r/QVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig, ax = plt.subplots()\n",
"df.groupby('country').plot(x='year', y='unemployment', ax=ax, legend=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## In summary"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Overall, you just need to know if you have a **meaningful index**.\n",
"\n",
"* **Did you do a groupby or value_counts()?** You can use `.plot()`\n",
"* **Do you have a normal dataframe?** You should probably set `x` and `y`.\n",
"\n",
"Next up we'll talk about how to customize graphics, and the large role that `matplotlib` plays in graphing with pandas."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}