python - 在日期时间中转换 DataFrame 列类型

Question

如何将 DataFrame 字符串列(以正时间增量的 d.days、d.seconds、d.microseconds 格式)转换为日期时间。 ？

提前致谢!

Answer 1

此回答由unutbu提供我认为特别有用。

def combine64(years, months=1, days=1, weeks=None, hours=None, minutes=None,
              seconds=None, milliseconds=None, microseconds=None, nanoseconds=None):
    """
    * Function: combine64 
    * Usage: df['combined']= combine64(df['Year'], df['Month'], df['Day']) . . .
    * -------------------------------
    * This function returns Datetime in the format YYYY-MM-DD:HH:mm:ss:ms:µs:ns
    """
    years = np.asarray(years) - 1970
    months = np.asarray(months) - 1
    days = np.asarray(days) - 1
    types = ('<M8[Y]', '<m8[M]', '<m8[D]', '<m8[W]', '<m8[h]',
             '<m8[m]', '<m8[s]', '<m8[ms]', '<m8[us]', '<m8[ns]')
    vals = (years, months, days, weeks, hours, minutes, seconds,
            milliseconds, microseconds, nanoseconds)
    return sum(np.asarray(v, dtype=t) for t, v in zip(types, vals)
               if v is not None)