pandas: powerful Python data analysis toolkit - 0.13.1column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default0 码力 | 1219 页 | 4.81 MB | 1 年前3- pandas: powerful Python data analysis toolkit - 0.19.0GH13536) • .to_stata() and StataWriter will automatically convert datetime64[ns] columns to Stata format %tc, rather than raising a ValueError (GH12259) • read_stata() and StataReader raise with a more explicit dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to ‘tc’. Raises NotImplementedError0 码力 | 1937 页 | 12.03 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.19.1GH13536) • .to_stata() and StataWriter will automatically convert datetime64[ns] columns to Stata format %tc, rather than raising a ValueError (GH12259) • read_stata() and StataReader raise with a more explicit dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to ‘tc’. Raises NotImplementedError0 码力 | 1943 页 | 12.06 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.20.3GH13536) • .to_stata() and StataWriter will automatically convert datetime64[ns] columns to Stata format %tc, rather than raising a ValueError (GH12259) • read_stata() and StataReader raise with a more explicit dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to ‘tc’. Raises NotImplementedError0 码力 | 2045 页 | 9.18 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.20.2GH13536) • .to_stata() and StataWriter will automatically convert datetime64[ns] columns to Stata format %tc, rather than raising a ValueError (GH12259) • read_stata() and StataReader raise with a more explicit dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to ‘tc’. Raises NotImplementedError0 码力 | 1907 页 | 7.83 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.14.0column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default0 码力 | 1349 页 | 7.67 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.21.1GH13536) • .to_stata() and StataWriter will automatically convert datetime64[ns] columns to Stata format %tc, rather than raising a ValueError (GH12259) • read_stata() and StataReader raise with a more explicit dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either an integer or a name. Datetime columns that do not have a conversion type specified will be converted to ‘tc’. Raises NotImplementedError0 码力 | 2207 页 | 8.59 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.12column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default0 码力 | 657 页 | 3.58 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.15column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default0 码力 | 1579 页 | 9.15 MB | 1 年前3
- pandas: powerful Python data analysis toolkit - 0.15.1column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default column of datetime types to the stata internal format that you want to use for the dates. Options are ‘tc’, ‘td’, ‘tm’, ‘tw’, ‘th’, ‘tq’, ‘ty’. Column can be either a number or a name. encoding : str Default0 码力 | 1557 页 | 9.10 MB | 1 年前3
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