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3169 def hpat_pandas_series_dropna_impl(self, axis=0, inplace=False): 3170 # generate Series index if needed by using SeriesType.index (i.e. not self._index) 3171 na_data_arr = hpat.hiframes.api.get_nan_mask(self._data) 3172 data = self._data[~na_data_arr] 3173 index = self.index[~na_data_arr] 3174 return pandas.Series(data, index, self._name)
217 @abc.abstractmethod 218 def dropna(self): 219 pass
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")