擅长:python、mysql、java
<p>您可以尝试这样做(当然,您可以用您需要的任何值填充<code>last_x_dates</code>列表):</p>
<pre><code>import datetime
indexes = [datetime.datetime(2015,1,1), datetime.datetime(2015,1,2), datetime.datetime(2015,1,3), datetime.datetime(2015,1,4)]
df = pd.DataFrame(data={'price' : [12,4,124,555]},index=indexes)
>> price
>> 2015-01-01 12
>> 2015-01-02 4
>> 2015-01-03 124
>> 2015-01-04 555
last_x_dates = [datetime.datetime(2015,1,3), datetime.datetime(2015,1,4)]
df = df[df.index.isin(last_x_dates)]
print min(df['price'])
>> 124
</code></pre>