With newer Pandas versions, if someone is interested, here a slightly different solution with Pandas only:
ax = data.plot(kind='hist',subplots=True,sharex=True,sharey=True,title='My title')
You can use suptitle():
suptitle()
import pylab as plfrom pandas import *data = DataFrame(np.random.randn(500).reshape(100,5), columns=list('abcde'))axes = data.hist(sharey=True, sharex=True)pl.suptitle("This is Figure title")
I found a better way:
plt.subplot(2,3,1) # if use subplotdf = pd.read_csv('documents',low_memory=False)df['column'].hist()plt.title('your title')
It is very easy, display well at the top, and will not mess up your subplot.