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Pandas DataFrame | between_time method

Programming
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Python
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Pandas
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DataFrame
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Data Selection and Renaming
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Pandas DataFrame.between_time(~) method returns rows that fall between the specified start time and end time.

Parameters

1. start_time | string or datetime.time

The start time.

2. end_time | string or datetime.time

The end time.

NOTE

If end_time is earlier than start_time, then we fetch for rows that do not fall between the specified range.

3. include_start | boolean | optional

Whether or not to include the start_time in the range. By default, include_start=True.

4. include_end | boolean | optional

Whether or not to include the end_time in the range. By default, include_end=True.

5. axis | int or string | optional

By default, axis=0. Due to a lack of documentation, we're not too sure how this parameter can be used. If you have some insight, we'd love to chat with you!

Return Value

A DataFrame containing the rows that fall between the specified start time and end time.

Examples

Consider the following DataFrame:

index_date = pd.date_range("2020-12-25", periods=4, freq="3H")
df = pd.DataFrame({"A":["a","b","c","d"]}, index=index_date)
df
A
2020-12-25 00:00:00 a
2020-12-25 03:00:00 b
2020-12-25 06:00:00 c
2020-12-25 09:00:00 d

Get rows that fall between time range

To get all rows where the time of day falls between 02:30 and 06:20:

df.between_time("02:30", "06:20")
A
2020-12-25 03:00:00 b
2020-12-25 06:00:00 c

Get rows that do not fall between time range

To get all rows where the time of day does not fall between 02:30 and 06:20, just reverse the positions of the start_time and end_time:

df.between_time("06:20", "02:30")
A
2020-12-25 00:00:00 a
2020-12-25 09:00:00 d
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Published by Isshin Inada
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