def plot_stacked_bar(left_data, right_data):

    width = .3

    axe = plt.subplot(111)

    axe = left_data.plot(kind='bar', stacked=True, ax=axe, width=width, use_index=True, legend=False)

    axe.set_xticklabels(left_data.index, rotation=0)

    #add patches to the stacked bar

    patterns = ('-', '+', 'x', '\\', '*', 'o', 'O', '.', '/')

    bars = axe.patches

    hatches = ''.join(h*len(left_data) for h in patterns)

    for bar, hatch in zip(bars, hatches):

        bar.set_hatch(hatch)

    #plottint the line sharing the same x-axis on the secondary y-axis

    axf = axe.twinx()

    axf.plot(axe.get_xticks(), right_data, linestyle='-', marker='o', linewidth=2.0)

    axf.set_ylim((0, 90))

from matplotlib import pyplot as plt

import pandas as pd

from pandas import Series

import numpy as np

n = 50

x = pd.period_range('2001-01-01', periods=n, freq='M')

y1 = (Series(np.random.randn(n)) + 5).tolist()

y2 = (Series(np.random.randn(n))).tolist()

df = pd.DataFrame({'bar':y2, 'line':y1}, index=x)

# let's plot

plt.figure(figsize=(20, 4))

ax1 = df['bar'].plot(kind='bar', label='bar')

ax2 = ax1.twiny()

df['line'].plot(kind='line', label='line', ax=ax2)

ax2.grid(color="red", axis="x")

def align_xaxis(ax2, ax1, x1, x2):

    "maps xlim of ax2 to x1 and x2 in ax1"

    (x1, _), (x2, _) = ax2.transData.inverted().transform(ax1.transData.transform([[x1, 0], [x2, 0]]))

    xs, xe = ax2.get_xlim()

    k, b = np.polyfit([x1, x2], [xs, xe], 1)

    ax2.set_xlim(xs*k+b, xe*k+b)

align_xaxis(ax2, ax1, 0, n-1)