<p>您可以使用<a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename.html" rel="nofollow noreferrer">^{<cd1>}</a>DataFrame方法:</p>
<pre><code>In [1]: df = pd.DataFrame(np.random.randn(7, 5),
index=['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
columns=[29, 30, 31, 32, 33])
In [2]: df
Out[2]:
29 30 31 32 33
Mon -0.080946 -0.072797 -1.019406 1.149162 2.727502
Tue 1.041598 -0.730701 -0.079450 1.323332 -0.823343
Wed 0.338998 1.034372 -0.273139 0.457153 0.007429
Thu -2.239857 -0.439499 0.675963 0.966994 1.348100
Fri 0.050717 -0.506382 1.269897 -0.862577 1.205110
Sat -1.380323 0.200088 -0.685536 -0.425614 0.148111
Sun -0.248540 -1.056943 1.550433 0.651707 -0.041801
In [3]: df.rename(columns=lambda x: 'Week ' + str(x), inplace=True)
In [5]: df
Out[5]:
Week 29 Week 30 Week 31 Week 32 Week 33
Mon -0.080946 -0.072797 -1.019406 1.149162 2.727502
Tue 1.041598 -0.730701 -0.079450 1.323332 -0.823343
Wed 0.338998 1.034372 -0.273139 0.457153 0.007429
Thu -2.239857 -0.439499 0.675963 0.966994 1.348100
Fri 0.050717 -0.506382 1.269897 -0.862577 1.205110
Sat -1.380323 0.200088 -0.685536 -0.425614 0.148111
Sun -0.248540 -1.056943 1.550433 0.651707 -0.041801
</code></pre>
<p>然后,可以使用标题绘制此图:</p>
<pre><code>In [4]: df.plot(title='Title Here')
</code></pre>
<p>请参阅<a href="http://pandas.pydata.org/pandas-docs/stable/visualization.html" rel="nofollow noreferrer">visualisation section of the docs</a>中的更多信息。</p>
<p><em>注意:<a href="https://stackoverflow.com/questions/9622163/matplotlib-save-plot-to-image-file-instead-of-displaying-it-so-can-be-used-in-b">to save the figure you can use savefig</a>。</em></p>