Data Science Essentials in Python

Unit 41

Basic Plotting with PyPlot

Plotting for numpy and pandas is provided by the module matplotLib—namely, by the sub-module pyplot.

Let’s start our experimentation with pyplot by invoking the spirit of the NIAAA surveillance report you converted into a frame earlier here, and proceed to plotting alcohol consumption for different states and alcohol kinds over time. Unfortunately, as is always the case with incremental plotting systems, no single function does all of the plotting, so let’s have a look at a complete example:

pyplot-images.py

import matplotlib, matplotlib.pyplot as plt
import pickle, pandas as pd

# The NIAAA frame has been pickled before
alco = pickle.load(open("alco.pickle", "rb"))
del alco["Total"] ...