pandas does not return the axis for the colorbar, therefore we have to locate it:
1st, let’s get the figure instance: i.e., use plt.gcf()
In [61]:
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import itertools as it
# [ (0,0), (0,1), ..., (9,9) ]
xy_positions = list( it.product( range(10), range(10) ) )
df = pd.DataFrame( xy_positions, columns=['x','y'] )
# draw 100 floats
df['score'] = np.random.random( 100 )
ax = df.plot( kind='scatter',
x='x',
y='y',
c="score",
s=500)
ax.set_xlim( [-0.5,9.5] )
ax.set_ylim( [-0.5,9.5] )
f = plt.gcf()
2, how many axes does this figure have?
In [62]:
f.get_axes()
Out[62]:
[<matplotlib.axes._subplots.AxesSubplot at 0x120a4d450>,
<matplotlib.axes._subplots.AxesSubplot at 0x120ad0050>]
3, The first axes (that is, the first one created), contains the plot
In [63]:
ax
Out[63]:
<matplotlib.axes._subplots.AxesSubplot at 0x120a4d450>
4, Therefore, the second axis is the colorbar axes
In [64]:
cax = f.get_axes()[1]
#and we can modify it, i.e.:
cax.set_ylabel('test')