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?
Pandas allows to give an axis handle to matplotlib axis objects to the plotting method. Like this:
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_axistoax?