Matplotlib contains a number of tools that can graphically model Airtable data after being fed a data frame From Pandas.
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 Airtable data. For example, the following plot would generate and display a bar graph relating Id and AnnualRevenue values:
df.plot(kind="bar", x="Id", y=["AnnualRevenue"]) plt.show()