How can I filter a DataFrame indexed by datetime so that I get only the entries within certain hours of every day? I am looking for something equivalent to the following <code>R</code> code for an <code>xts</code> object <pre class="prettyprint"><code>df["09:00:00::17:00:00"] </code></pre>

Hope this helps: <code>df[(df.Time > '08:00') & (df.Time < '08:05')]</code>

Filter by hour in Pandas

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python

pandas

How can I filter a DataFrame indexed by datetime so that I get only the entries within certain hours of every day?

I am looking for something equivalent to the following R code for an xts object

df["09:00:00::17:00:00"]

986

asked Nov 17 '13 22:11

em70

2 Answers

You want the between_time method: http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.between_time.html#pandas.DataFrame.between_time

answered Oct 19 '22 16:10

TomAugspurger

Hope this helps: df[(df.Time > '08:00') & (df.Time < '08:05')]

answered Oct 19 '22 16:10

Manre

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