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Pandas allows to give an axis handle to matplotlib axis objects to the plotting method. Like this:
%matplotlib inline import matplotlib.pyplot as plt import pandas as pd import numpy as np fig, ax = plt.subplots(1, 1) df = pd.DataFrame(np.random.rand(5, 3), columns=['a', 'b', 'c']) ax.get_xaxis().set_visible(False) # Hide Ticks df.plot(ax=ax)
I suggest to use the same method and the same name (ax
) in this tool to allow the user to fine tune the plot, and put the plot into an existing axis object.
It looks like this is 'just' a matter of renaming predefined_axis
to ax
?
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