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modin.pandas.DataFrame.resample

DataFrame.resample(rule, axis: Axis = _NoDefault.no_default, closed: str | None = None, label: str | None = None, convention: str = 'start', kind: str | None = None, on: Level = None, level: Level = None, origin: str | TimestampConvertibleTypes = 'start_day', offset: TimedeltaConvertibleTypes | None = None, group_keys=_NoDefault.no_default)[source]

Resample time-series data. Convenience method for frequency conversion and resampling of time series. The object must have a datetime-like index.

Snowpark pandas DataFrame/Series.resample only supports frequencies “second”, “minute”, “hour”, and “day” in conjunction with aggregations “max”, “min”, “mean”, “median”, “sum”, “std”, “var”, “count”, and “ffill”. Snowpark pandas also only supports DatetimeIndex, and does not support PeriodIndex or TimedeltaIndex.

Parameters:

  • rule (DateOffset, Timedelta or str) – The offset string or object representing target conversion. Snowpark pandas only supports frequencies “second”, “minute”, “hour”, and “day”

  • axis ({0 or 'index', 1 or 'columns'}, default 0) –

    Which axis to use for up- or down-sampling. For Series this parameter is unused and defaults to 0. Snowpark pandas only supports axis 0 and DatetimeIndex.

    Deprecated since version 2.0.0: Use frame.T.resample(…) instead.

  • closed ({'right', 'left'}, default None) –

    Which side of bin interval is closed. The default is ‘left’ for all frequency offsets except for ‘ME’, ‘YE’, ‘QE’, ‘BME’, ‘BA’, ‘BQE’, and ‘W’ which all have a default of ‘right’.

    Snowpark pandas only supports closed=left and frequencies “second”, “minute”, “hour”, and “day”.

  • label ({'right', 'left'}, default None) –

    Which bin edge label to label bucket with. The default is ‘left’ for all frequency offsets except for ‘ME’, ‘YE’, ‘QE’, ‘BME’, ‘BA’, ‘BQE’, and ‘W’ which all have a default of ‘right’.

    Snowpark pandas only supports label=left and frequencies “second”, “minute”, “hour”, and “day”.

  • convention ({'start', 'end', 's', 'e'}, default 'start') –

    For PeriodIndex only, controls whether to use the start or end of rule. Snowpark pandas does not support PeriodIndex.

    Deprecated since version 2.2.0: Convert PeriodIndex to DatetimeIndex before resampling instead.

  • kind ({'timestamp', 'period'}, optional, default None) –

    Pass ‘timestamp’ to convert the resulting index to a DateTimeIndex or ‘period’ to convert it to a PeriodIndex. By default, the input representation is retained.

    Snowpark pandas does not support kind.

  • on (str, optional) – For a DataFrame, column to use instead of index for resampling. Column must be datetime-like. Snowpark pandas does not support on.

  • level (str or int, optional) – For a MultiIndex, level (name or number) to use for resampling. level must be datetime-like. Snowpark pandas does not support DataFrame/Series.resample with a MultiIndex.

  • origin (Timestamp or str, default 'start_day') –

    The timestamp on which to adjust the grouping. The timezone of origin must match the timezone of the index. If a string, must be one of the following:

    ’epoch’: origin is 1970-01-01 ‘start’: origin is the first value of the timeseries ‘start_day’: origin is the first day at midnight of the timeseries ‘end’: origin is the last value of the timeseries ‘end_day’: origin is the ceiling midnight of the last day

    Snowpark pandas does not support origin.

  • offset (Timedelta or str, default is None) – An offset timedelta added to the origin. Snowpark pandas does not support offset.

  • group_keys (bool, default False) – Whether to include the group keys in the result index when using .apply() on the resampled object. Snowpark pandas does not support group_keys.

Return type:

Resampler

See also

Series.resample

Resample a Series.

DataFrame.resample

Resample a dataframe.

groupby

Group Series/DataFrame by mapping, function, label, or list of labels.

asfreq

Reindex a Series/DataFrame with the given frequency without grouping.

Notes

Snowpark pandas DataFrame/Series.resample only supports frequencies “second”, “minute”, “hour”, and “day” in conjunction with aggregations “max”, “min”, “mean”, “median”, “sum”, “std”, “var”, “count”, and “ffill”. Snowpark pandas also only supports DatetimeIndex, and does not support PeriodIndex or TimedeltaIndex.

Examples

>>> index = pd.date_range('1/1/2000', periods=9, freq='min')
>>> series = pd.Series(range(9), index=index)
>>> series
2000-01-01 00:00:00    0
2000-01-01 00:01:00    1
2000-01-01 00:02:00    2
2000-01-01 00:03:00    3
2000-01-01 00:04:00    4
2000-01-01 00:05:00    5
2000-01-01 00:06:00    6
2000-01-01 00:07:00    7
2000-01-01 00:08:00    8
Freq: None, dtype: int64
>>> series.resample('3min').sum()
2000-01-01 00:00:00     3
2000-01-01 00:03:00    12
2000-01-01 00:06:00    21
Freq: None, dtype: int64
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