| Resampler.nunique([_method]) |
Returns number of unique elements in the group |
| Resampler.first([_method]) |
Compute first of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.last([_method]) |
Compute last of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.max([_method]) |
Compute max of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.mean([_method]) |
Compute mean of groups, excluding missing values. |
| Resampler.median([_method]) |
Compute median of groups, excluding missing values. |
| Resampler.min([_method]) |
Compute min of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.ohlc([_method]) |
Compute sum of values, excluding missing values. |
| Resampler.prod([_method, min_count]) |
Compute prod of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.size() |
Compute group sizes. |
| Resampler.sem([_method]) |
Compute standard error of the mean of groups, excluding missing values. |
| Resampler.std([ddof]) |
Compute standard deviation of groups, excluding missing values. |
| Resampler.sum([_method, min_count]) |
Compute sum of group values See Also ——– pandas.Series.groupby pandas.DataFrame.groupby pandas.Panel.groupby |
| Resampler.var([ddof]) |
Compute variance of groups, excluding missing values. |
| Resampler.quantile([q]) |
Return value at the given quantile. |