pandas.infer_freq#

pandas.infer_freq(index)[source]#

Infer the most likely frequency given the input index.

This method attempts to deduce the most probable frequency (e.g., ‘D’ for daily,‘H’ for hourly) from a sequence of datetime-like objects. It is particularly usefulwhen the frequency of a time series is not explicitly set or known but can beinferred from its values.

Parameters:

indexDatetimeIndex, TimedeltaIndex, Series or array-like

If passed a Series will use the values of the series (NOT THE INDEX).

Returns:

str or None

None if no discernible frequency.

Raises:

TypeError

If the index is not datetime-like.

ValueError

If there are fewer than three values.

See also

date_range

Return a fixed frequency DatetimeIndex.

timedelta_range

Return a fixed frequency TimedeltaIndex with day as the default.

period_range

Return a fixed frequency PeriodIndex.

DatetimeIndex.freq

Return the frequency object if it is set, otherwise None.

Examples

>>>idx=pd.date_range(start="2020/12/01",end="2020/12/30",periods=30)>>>pd.infer_freq(idx)'D'