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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")
568 @staticmethod 569 def pd() -> None: 570 post = SampleData.get('pds_obj_10k').fillna(0.0)
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"]
51 def missing_data(self, df): 52 total = df.isnull().sum().sort_values(ascending=False) 53 percent = (df.isnull().sum() / df.isnull().count()).sort_values(ascending=False) 54 return pd.concat([total, percent], axis=1, keys=["Total", "Percent"])