Plot Pandas DataFrame as Bar and Line on the same one chart

The DataFrame plotting methods return a matplotlib AxesSubplot or list of AxesSubplots. (See the docs for plot, or boxplot, for instance.)

You can then pass that same Axes to the next plotting method (using ax=ax) to draw on the same axes:

ax = df_13_14_target[['month','2014_target_val']].plot(x='month',linestyle='-', marker='o')df_13_14_target[['month','2013_val','2014_val']].plot(x='month', kind='bar',    ax=ax)

import pandas as pdimport matplotlib.pyplot as pltleft_2013 = pd.DataFrame(    {'month': ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep',               'oct', 'nov', 'dec'],     '2013_val': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 9, 6]})right_2014 = pd.DataFrame({'month': ['jan', 'feb'], '2014_val': [4, 5]})right_2014_target = pd.DataFrame(    {'month': ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep',               'oct', 'nov', 'dec'],     '2014_target_val': [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]})df_13_14 = pd.merge(left_2013, right_2014, how='outer')df_13_14_target = pd.merge(df_13_14, right_2014_target, how='outer')ax = df_13_14_target[['month', '2014_target_val']].plot(    x='month', linestyle='-', marker='o')df_13_14_target[['month', '2013_val', '2014_val']].plot(x='month', kind='bar',                                                        ax=ax)plt.show()