How can I plot separate Pandas DataFrames as subplots?
I have a few Pandas DataFrames sharing the same value scale, but having different columns and indices. When invoking
df.plot(), I get separate plot images. what I really want is to have them all in the same plot as subplots, but I'm unfortunately failing to come up with a solution to how and would highly appreciate some help.
You can manually create the subplots with matplotlib, and then plot the dataframes on a specific subplot using the
ax keyword. For example for 4 subplots (2x2):
import matplotlib.pyplot as plt fig, axes = plt.subplots(nrows=2, ncols=2) df1.plot(ax=axes[0,0]) df2.plot(ax=axes[0,1]) ...
axes is an array which holds the different subplot axes, and you can access one just by indexing
If you want a shared x-axis, then you can provide