Pandas dataframe with legends

df_plot_legend.py

from pandas import DataFrame, Series
from numpy.random import randn, rand

df1 = DataFrame(randn(6, 3), index=range(6),
               columns=['a', 'b', 'c'])

df2 = DataFrame(randn(6, 3), index=range(6),
               columns=['d', 'e', 'f'])

df3 = DataFrame(randn(6, 3), index=range(6),
               columns=['x', 'y', 'z'])

import matplotlib.pyplot as plt

fig, axes = plt.subplots(1, 5, figsize=(14, 3))
plt.subplots_adjust(top=0.9, bottom=0.1, left=0.05, right=0.97, hspace=0.5)

for i, (legend, df) in enumerate(zip([True, False, 'reverse'], [df1, df2, df3])):
    df.plot(ax=axes[0],  legend=legend, title='line')
    df.plot(kind='bar', ax=axes[1], legend=legend, title='bar')
    df.plot(kind='barh', ax=axes[2],  legend=legend, title='barh')
    df.plot(kind='kde', ax=axes[3],  legend=legend, title='kde')
    df.plot(kind='scatter', ax=axes[4], x=df.columns[0], y=df.columns[1], label=i, 
        legend=legend, title='scatter')

plt.show()

fig, axes = plt.subplots(1, 6, figsize=(14, 3))
plt.subplots_adjust(top=0.9, bottom=0.1, left=0.05, right=0.97, hspace=0.5)

df1.plot(ax=axes[0], secondary_y ='a')
df1.plot(kind='bar', ax=axes[0])
df2.plot(ax=axes[0], title='line')

df1.plot(ax=axes[1], secondary_y ='a')
df1.plot(kind='bar', ax=axes[1], secondary_y='x')
df2.plot(ax=axes[1], secondary_y='d', title='line')

df1.plot(ax=axes[2], kind='kde')
df2.plot(ax=axes[2], kind='kde', legend=False)

df1.plot(ax=axes[3], kind='kde')
df2.plot(ax=axes[3], kind='kde', legend=False)
df3.plot(ax=axes[3], kind='kde', legend=True)

plt.show()

Example for
pandas-dev/pandas#6678