Visualizing data with matplotlib
Matplotlib has a few dozen plotting methods that make nearly any kind of plot imaginable. Line, bar, histogram, scatter, box, violin, contour, pie, and many more plots are available as methods on the Axes object. It was only in version 1.5 (released in 2015) that matplotlib began accepting data from pandas DataFrames. Before this, data had to be passed to it from NumPy arrays or Python lists.
In this section, we will plot the annual snow levels for the Alta ski resort. The plots in this example were inspired by Trud Antzee (@Antzee_) who created similar plots of snow levels in Norway.
How to do it…
- Now that we know how to create axes and change their attributes, let's start visualizing data. We will read snowfall data from the Alta ski resort in Utah and visualize how much snow fell in each season:
>>> import pandas as pd >>> import numpy as np >>> alta = pd.read_csv(&apos...
