擅长:python、mysql、java
<p>考虑</p>
<pre><code>" DATE TIME "," A "," C "," B "
12/11/2018 15:44:36, 5448, 0.00, NaN
12/11/2018 15:44:36, 5448, 0.00, NaN
12/11/2018 15:44:36, 5448, 0.00, NaN
12/11/2018 15:44:36, 5448, 0.00, NaN
12/11/2018 15:45:07, 5448, 0.00, NaN
12/11/2018 15:45:08, 5448, 0.00, NaN
12/11/2018 15:45:08, 5448, 0.00, NaN
12/11/2018 15:45:09, 5448, 0.00, NaN
12/11/2018 15:45:09, 5448, 0.00, NaN
</code></pre>
<p>作为作为pandas dataframe导入的.csv文件,必须注意要查找的实际值。在</p>
<p>事实上:</p>
^{pr2}$
<p>退货:</p>
<pre><code>True
</code></pre>