CData Python Connector for GraphQL

Build 24.0.9060

From Matplotlib

Matplotlib contains a number of tools that can graphically model GraphQL 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 GraphQL data. For example, the following plot generates and displays a bar graph relating Name and Size values:

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

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Build 24.0.9060