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114 def panel_fillna(panel, type="bfill"): 115 """ 116 fill nan along the 3rd axis 117 :param panel: the panel to be filled 118 :param type: bfill or ffill 119 """ 120 frames = {} 121 for item in panel.items: 122 if type == "both": 123 frames[item] = panel.loc[item].fillna(axis=1, method="bfill").\ 124 fillna(axis=1, method="ffill") 125 else: 126 frames[item] = panel.loc[item].fillna(axis=1, method=type) 127 return pd.Panel(frames)
19 def fill_missing_values(df_data): 20 """Fill missing values in data frame, in place.""" 21 df_data.fillna(method="ffill", inplace="True") 22 df_data.fillna(method='bfill', inplace="True")
39 def _drop_col(self, df): 40 ''' 41 Drops last column, which was added in the parsing procedure due to a 42 trailing white space for each sample in the text file 43 Arguments: 44 df: pandas dataframe 45 Return: 46 df: original df with last column dropped 47 ''' 48 return df.drop(df.columns[-1], axis=1)
519 def get_and_fill_timezone(df): 520 ''' 521 this is new to deal with healthkit data 522 requires that a data frame that contains payload and HKTimeZone is passed 523 ''' 524 df = get_healthkit_timezone(df) 525 526 df["timezone"].fillna(method='ffill', inplace=True) 527 df["timezone"].fillna(method='bfill', inplace=True) 528 529 return df["timezone"]
21 @cat.register_transform('hdf') 22 def _(col): 23 if 'nan' not in col.cat.categories: 24 col = col.cat.add_categories(['nan']) 25 return col.fillna('nan').apply(str)
78 def _clean_column(self, column): 79 if not isinstance(column, (int, str, unicode)): 80 raise ValueError('{} is not a valid column'.format(column)) 81 return column in self.df.columns
38 def fill_empty(df: pd.DataFrame) -> pd.DataFrame: 39 """Fill the gaps in the 'original' column with values from 'index' 40 Args: 41 df: 42 Returns: 43 """ 44 index = df["original"].isnull() 45 df.loc[index, "original"] = df.loc[index, "index"] 46 47 return df
568 @staticmethod 569 def pd() -> None: 570 post = SampleData.get('pds_obj_10k').fillna(0.0)