<p dir="auto">Using the following code</p>
<p dir="auto">plt.plot(pd.to_datetime(np.linspace(1501288700, 1501290000, 10), unit='s'), np.arange(10))<br>
plt.show()</p>
<p dir="auto">I obtain different result using 0.20 or 0.21.</p>
<p dir="auto">Using the code above with Pandas 0.20 the plot automatically identifies that the X axes contains dates. While using pandas 0.21 this, or other attempts, to force the X axes to show dates in the axes. The two plots have been attached and as you can notice one has show the datetiem as "%d %H:%M", as expected, while the 2nd made with the latest package shows integers.</p>
<p dir="auto">All the other packages are unchanged.</p>
<p dir="auto"><a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/33522004/32613812-20f92b40-c56c-11e7-9c9f-2e56eb13509a.png"><img src="https://user-images.githubusercontent.com/33522004/32613812-20f92b40-c56c-11e7-9c9f-2e56eb13509a.png" alt="pandas20" style="max-width: 100%;"></a><br>
<a target="_blank" rel="noopener noreferrer nofollow" href="https://user-images.githubusercontent.com/33522004/32613813-212ded58-c56c-11e7-8900-d71ea9009e0b.png"><img src="https://user-images.githubusercontent.com/33522004/32613813-212ded58-c56c-11e7-8900-d71ea9009e0b.png" alt="pandas21" style="max-width: 100%;"></a></p>
<p dir="auto">Possibly related to <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="13708937" data-permission-text="Title is private" data-url="https://github.com/pandas-dev/pandas/issues/3468" data-hovercard-type="issue" data-hovercard-url="/pandas-dev/pandas/issues/3468/hovercard" href="https://github.com/pandas-dev/pandas/issues/3468">#3468</a></p>
<p dir="auto">Using pandas 0.10.1.<br>
It's legal for sql (at least Sql Server) to have queries that return two columns with the same name. And it's legal for pandas to have dataframes that have two columns with the same name. But pandas gives a very misleading error message when you try it with read_frame:</p>
<h1 dir="auto">Query that has 2 columns with the same name:</h1>
<p dir="auto">sql = "select 1 as whatever, 2 as name, 3 as name where 1=0"<br>
pos = pandas.io.sql.read_frame(sql, dbconn)</p>
<h1 dir="auto">That gives very misleading error message</h1>