CData Python Connector for Azure Data Lake Storage

Build 22.0.8462

From Matplotlib

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"])

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Build 22.0.8462