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761 def convert_month_day_to_date_time(self, df, year = 1970): 762 new_index = [] 763 764 # TODO use map? 765 for i in range(0, len(df.index)): 766 x = df.index[i] 767 new_index.append(datetime.date(year, x[0], int(x[1]))) 768 769 df.index = pandas.DatetimeIndex(new_index) 770 771 return df
33 def datesarray_to_datetimearray(dates: np.ndarray) -> np.ndarray: 34 """ 35 Convert an pandas-array of timestamps into 36 An numpy-array of datetimes 37 :return: numpy-array of datetime 38 """ 39 return dates.dt.to_pydatetime()
528 def _convert_date_format(frame, date_format=None): 529 if date_format is not None: 530 531 def _convert(col): 532 if col.dtype.name == "datetime64[ns]": 533 return col.apply(lambda x: x.strftime(date_format)) 534 return col 535 536 frame = frame.apply(_convert) 537 return frame
302 def to_pandas(self) -> None: 303 '''Return a Pandas Index. 304 ''' 305 raise NotImplementedError('Pandas does not support a year month type, and it is ambiguous if a date proxy should be the first of the month or the last of the month.')