scatter more than one dataframe in the same plot

Question

I'm using a for cycle to scatter more than one dataframe on a same pd.plot.scatterplot, but everytime the cycle return it print a colorbar. How can I have just one colorbar at the end of the cycle?

This is my code

if colormap is None: colormap='jet'
f,ax = plt.subplots()
for i, data in enumerate(wells):
    data.plot.scatter(x,y, c=z, colormap=colormap, ax=ax)
ax.set_xlabel(x); ax.set_xlim(xlim)
ax.set_ylabel(y); ax.set_ylim(ylim)
ax.legend()
ax.grid()
ax.set_title(title)

Answer 1

This can be achieved by using figure and adding the axes to the same subplot:

import pandas as pd
import numpy as np

# created two dataframes with random values
df1 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])
df2 = pd.DataFrame(np.random.rand(25, 2), columns=['a', 'b'])

And then:

fig = plt.figure()
for i, data in enumerate([df1, df2]):
    ax = fig.add_subplot(111)
    ax = data.plot.scatter(x='a', y='b', ax=ax,
                           c='#00FF00' if i == 0 else '#FF0000')

plt.show()

You can add the labels and other elements as required.