Pandas dataframe bar plot sample with flexible bar width and position

df_plot_bar.py

import string

from pandas import DataFrame

import numpy as np
from numpy.random import randn

import pandas.tools.plotting as plotting

from matplotlib.pylab import close
df = DataFrame(randn(6, 4),
               index=list(string.ascii_letters[:6]),
               columns=['x', 'y', 'z', 'four'])

import matplotlib.pyplot as plt

df1 = df.copy()
df2 = df.drop('x', axis=1)

for df in [df1, df2]:
    fig, axes = plt.subplots(3, 4, figsize=(14, 8))
    plt.subplots_adjust(top=0.95, bottom=0.05, left=0.05, right=0.95, hspace=0.35)
    df.plot(kind='bar', title='Default', ax=axes[0, 0], legend=False)
    df.plot(kind='bar', stacked=True, title='Default', ax=axes[0, 1], legend=False)
    df.plot(kind='barh', title='Default', ax=axes[0, 2], legend=False)
    df.plot(kind='barh', stacked=True, title='Default', ax=axes[0, 3], legend=False)

    w = 0.9
    title = 'width={0}'.format(w)
    df.plot(kind='bar', width=w, title=title, ax=axes[1, 0], legend=False)
    df.plot(kind='bar', width=w, stacked=True, title=title, ax=axes[1, 1], legend=False)
    df.plot(kind='barh', width=w, title=title, ax=axes[1, 2], legend=False)
    df.plot(kind='barh', width=w, stacked=True, title=title, ax=axes[1, 3], legend=False)

    p=0.2
    title = 'width={0}, pos={1}'.format(w, p)
    df.plot(kind='bar', width=w, pos=p, title=title, ax=axes[2, 0], legend=False)
    df.plot(kind='bar', width=w, pos=p, stacked=True, title=title, ax=axes[2, 1], legend=False)
    df.plot(kind='barh', width=w, pos=p, title=title, ax=axes[2, 2], legend=False)
    df.plot(kind='barh', width=w, pos=p, stacked=True, title=title, ax=axes[2, 3], legend=False)
    
    plt.show()

Example for
pandas-dev/pandas#6644