LABS/LAB 12. Basic Plots with matplotlib.ipynb

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    "# Print the last item from year and pop\n",
    "print(year[-1])\n",
    "print(pop[-1])\n",
    "\n",
    "\n",
    "# Import matplotlib.pyplot as plt\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Make a line plot: year on the x-axis, pop on the y-axis\n",
    "plt.plot(year, pop)\n",
    "plt.show()"
   ]
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   "source": [
    "1. Have another look at the plot you created in the previous exercise; it's shown on the right. What is the first year in which there will be more than ten billion human beings on this planet?\n",
    "    - 2062"
   ]
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    "# Print the last item of gdp_cap and life_exp\n",
    "print(gdp_cap[-1])\n",
    "print(life_exp[-1])\n",
    "\n",
    "\n",
    "# Make a line plot, gdp_cap on the x-axis, life_exp on the y-axis\n",
    "plt.plot(gdp_cap, life_exp)\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
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    "# Change the line plot below to a scatter plot\n",
    "plt.scatter(gdp_cap, life_exp)\n",
    "\n",
    "# Put the x-axis on a logarithmic scale\n",
    "plt.xscale(\"log\")\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
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   "source": [
    "# Import package\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Build Scatter plot\n",
    "plt.scatter(pop, life_exp)\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  }
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