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Pandas | infer_freq method

schedule Aug 10, 2023
Last updated
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Pandas infer_freq(~) method returns a string indicating the inferred frequency of the given DatetimeIndex or a TimedeltaIndex.

Parameters

1. indexlink | DatetimeIndex or TimedeltaIndex

The index from which to infer the frequency.

2. warn | boolean | optional

Whether or not to print warning message if the frequency cannot be inferred. Upon testing, this parameter seems to not do anything. By default, warn=True.

NOTE

This method can raise the following errors:

  • a ValueError is thrown if the index has fewer than 3 dates.

  • a TypeError is thrown if the index is not of type datetime-like.

Return Value

A string indicating the inferred frequency.

Examples

Basic usage

Consider the following DatetimeIndex:

idx = pd.DatetimeIndex(["2020-12-25","2020-12-27","2020-12-29"])
idx
DatetimeIndex(['2020-12-25', '2020-12-27', '2020-12-29'], dtype='datetime64[ns]', freq=None)

Because we did not explicitly specify the freq parameter in the constructor, we end up with freq=None.

To infer the frequency:

pd.infer_freq(idx)
'2D'

This tells us that the inferred frequency (offset) is 2 days.

robocat
Published by Isshin Inada
Edited by 0 others
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