Matplotlib contains a number of tools that can graphically model Azure Data Lake Storage data after being fed a data frame From Pandas.

Using PyPlot

Before any Matplotlib tool, such as pyplot, can be used, it must be imported:

from matplotlib import pyplot as plt

Once a pandas data frame is obtained, it can be used to create a plot visualizing Azure Data Lake Storage data. For example, the following plot would generate and display a bar graph relating FullPath and AnnualRevenue values:

df.plot(kind="bar", x="FullPath", y=["AnnualRevenue"])
plt.show()