@@ -5691,6 +5691,10 @@ def groupby(self, by=None, axis=0, level=None, as_index=True, sort=True,
5691
5691
reduce the dimensionality of the return type if possible,
5692
5692
otherwise return a consistent type
5693
5693
5694
+ Returns
5695
+ -------
5696
+ GroupBy object
5697
+
5694
5698
Examples
5695
5699
--------
5696
5700
DataFrame results
@@ -5702,10 +5706,15 @@ def groupby(self, by=None, axis=0, level=None, as_index=True, sort=True,
5702
5706
5703
5707
>>> data.groupby(['col1', 'col2']).mean()
5704
5708
5705
- Returns
5706
- -------
5707
- GroupBy object
5709
+ Notes
5710
+ -----
5711
+ See the `user guide
5712
+ <http://pandas.pydata.org/pandas-docs/stable/groupby.html>`_ for more.
5708
5713
5714
+ See also
5715
+ --------
5716
+ resample : Convenience method for frequency conversion and resampling
5717
+ of time series.
5709
5718
"""
5710
5719
from pandas .core .groupby import groupby
5711
5720
@@ -5904,8 +5913,16 @@ def resample(self, rule, how=None, axis=0, fill_method=None, closed=None,
5904
5913
5905
5914
.. versionadded:: 0.19.0
5906
5915
5916
+ Returns
5917
+ -------
5918
+ Resampler object
5919
+
5907
5920
Notes
5908
5921
-----
5922
+ See the `user guide
5923
+ <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#resampling>`_
5924
+ for more.
5925
+
5909
5926
To learn more about the offset strings, please see `this link
5910
5927
<http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
5911
5928
@@ -6071,6 +6088,10 @@ def resample(self, rule, how=None, axis=0, fill_method=None, closed=None,
6071
6088
a b c d
6072
6089
2000-01-01 00:00:00 0 6 12 18
6073
6090
2000-01-01 00:03:00 0 4 8 12
6091
+
6092
+ See also
6093
+ --------
6094
+ groupby : Group by mapping, function, label, or list of labels.
6074
6095
"""
6075
6096
from pandas .core .resample import (resample ,
6076
6097
_maybe_process_deprecations )
0 commit comments