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38 def add_group_id(df, *groupby_cols, gid_colname='gid'): 39 groupby_cols = list(groupby_cols) 40 df_group = df.groupby(groupby_cols).apply(lambda g: pd.Series({ 41 'group_length': g.shape[0] 42 })).reset_index() 43 df_group[gid_colname] = df_group.index 44 df_merge = pd.merge(df, df_group, how='outer', on=groupby_cols) 45 df_merge['group_length'] = df_merge['group_length'].fillna(-1) 46 df_merge[gid_colname] = df_merge[gid_colname].fillna(-1) 47 df_merge['group_length'] = df_merge['group_length'].astype(int) 48 df_merge[gid_colname] = df_merge[gid_colname].astype(int) 49 return df_merge
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59 def to_pandas(self): 60 """Encode aggregation result as a pandas dataframe. 61 62 Returns: 63 Pandas dataframe with aggregation results. 64 """ 65 return pandas.DataFrame(self.values)
317 def test_groupby_select_all_columns(): 318 # Check that when selecting all columns, the result has the same number 319 # of columns as the original. 320 DT = dt.Frame(id2=[1, 2] * 3, id4=[1] * 6, v3=[1, 3, 2, 3, 3, 3]) 321 res = DT[:, :, by(f.id2, f.id4)] 322 assert_equals(res, dt.Frame(id2=[1, 1, 1, 2, 2, 2], id4=[1] * 6, 323 v3=[1, 2, 3, 3, 3, 3]))
31 def groupby(xs, keys): 32 result = defaultdict(list) 33 for (x, key) in zip(xs, keys): 34 result[key].append(x) 35 return result
29 def _concat(df, type): 30 if df is None: 31 df = pd.DataFrame(_object_blocks[type]) 32 else: 33 _df = pd.DataFrame(_object_blocks[type]) 34 df = pd.concat([df, _df], sort=True) 35 return df
309 @ApplyToDataframe 310 def ungroup(): 311 return UngroupDF
17 def groupby_deco(func): 18 def func_wrapper(self, thing, *args, **kwargs): 19 if isinstance(thing, pd.core.groupby.DataFrameGroupBy): 20 agg = thing.apply(lambda x: func(self, x, *args, **kwargs)) 21 is_series = isinstance(agg, pd.core.series.Series) 22 has_multiindex = isinstance(agg.index, pd.MultiIndex) 23 if is_series and has_multiindex: 24 return agg.unstack() 25 else: 26 return agg 27 return func(self, thing, *args, **kwargs) 28 return func_wrapper