{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can look [at the matplotlib documentation](https://matplotlib.org/users/legend_guide.html#legend-location), which isn't *too* bad, but this might also be helpful."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" country | \n",
" continent | \n",
" gdp_per_capita | \n",
" life_expectancy | \n",
" population | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" Afghanistan | \n",
" Asia | \n",
" 663 | \n",
" 54.863 | \n",
" 22856302 | \n",
"
\n",
" \n",
" | 1 | \n",
" Albania | \n",
" Europe | \n",
" 4195 | \n",
" 74.200 | \n",
" 3071856 | \n",
"
\n",
" \n",
" | 2 | \n",
" Algeria | \n",
" Africa | \n",
" 5098 | \n",
" 68.963 | \n",
" 30533827 | \n",
"
\n",
" \n",
"
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"