ml)
    * [ pandas.DataFrame.sparse ](pandas.DataFrame.sparse.html)
    * [ pandas.Index.str ](pandas.Index.str.html)
    * [ pandas.Series.dt.date ](pandas.Series.dt.date.html)
    * [ pandas.Series.dt.time ](pandas.Series.dt.time.html)
    * [ pandas.Series.dt.timetz ](pandas.Series.dt.timetz.html)
    * [ pandas.Series.dt.year ](pandas.Series.dt.year.html)
    * [ pandas.Series.dt.month ](pandas.Series.dt.month.html)
    * [ pandas.Series.dt.day ](pandas.Series.dt.day.html)
    * [ pandas.Series.dt.hour ](pandas.Series.dt.hour.html)
    * [ pandas.Series.dt.minute ](pandas.Series.dt.minute.html)
    * [ pandas.Series.dt.second ](pandas.Series.dt.second.html)
    * [ pandas.Series.dt.microsecond ](pandas.Series.dt.microsecond.html)
    * [ pandas.Series.dt.nanosecond ](pandas.Series.dt.nanosecond.html)
    * [ pandas.Series.dt.dayofweek ](pandas.Series.dt.dayofweek.html)
    * [ pandas.Series.dt.day_of_week ](pandas.Series.dt.day_of_week.html)
    * [ pandas.Series.dt.weekday ](pandas.Series.dt.weekday.html)
    * [ pandas.Series.dt.dayofyear ](pandas.Series.dt.dayofyear.html)
    * [ pandas.Series.dt.day_of_year ](pandas.Series.dt.day_of_year.html)
    * [ pandas.Series.dt.days_in_month ](pandas.Series.dt.days_in_month.html)
    * [ pandas.Series.dt.quarter ](pandas.Series.dt.quarter.html)
    * [ pandas.Series.dt.is_month_start ](pandas.Series.dt.is_month_start.html)
    * [ pandas.Series.dt.is_month_end ](pandas.Series.dt.is_month_end.html)
    * [ pandas.Series.dt.is_quarter_start ](pandas.Series.dt.is_quarter_start.html)
    * [ pandas.Series.dt.is_quarter_end ](pandas.Series.dt.is_quarter_end.html)
    * [ pandas.Series.dt.is_year_start ](pandas.Series.dt.is_year_start.html)
    * [ pandas.Series.dt.is_year_end ](pandas.Series.dt.is_year_end.html)
    * [ pandas.Series.dt.is_leap_year ](pandas.Series.dt.is_leap_year.html)
    * [ pandas.Series.dt.daysinmonth ](pandas.Series.dt.daysinmonth.html)
    * [ pandas.Series.dt.days_in_month ](pandas.Series.dt.days_in_month.html)
    * [ pandas.Series.dt.tz ](pandas.Series.dt.tz.html)
    * [ pandas.Series.dt.freq ](pandas.Series.dt.freq.html)
    * [ pandas.Series.dt.unit ](pandas.Series.dt.unit.html)
    * [ pandas.Series.dt.isocalendar ](pandas.Series.dt.isocalendar.html)
    * [ pandas.Series.dt.to_period ](pandas.Series.dt.to_period.html)
    * pandas.Series.dt.to_pydatetime 
    * [ pandas.Series.dt.tz_localize ](pandas.Series.dt.tz_localize.html)
    * [ pandas.Series.dt.tz_convert ](pandas.Series.dt.tz_convert.html)
    * [ pandas.Series.dt.normalize ](pandas.Series.dt.normalize.html)
    * [ pandas.Series.dt.strftime ](pandas.Series.dt.strftime.html)
    * [ pandas.Series.dt.round ](pandas.Series.dt.round.html)
    * [ pandas.Series.dt.floor ](pandas.Series.dt.floor.html)
    * [ pandas.Series.dt.ceil ](pandas.Series.dt.ceil.html)
    * [ pandas.Series.dt.month_name ](pandas.Series.dt.month_name.html)
    * [ pandas.Series.dt.day_name ](pandas.Series.dt.day_name.html)
    * [ pandas.Series.dt.as_unit ](pandas.Series.dt.as_unit.html)
    * [ pandas.Series.dt.qyear ](pandas.Series.dt.qyear.html)
    * [ pandas.Series.dt.start_time ](pandas.Series.dt.start_time.html)
    * [ pandas.Series.dt.end_time ](pandas.Series.dt.end_time.html)
    * [ pandas.Series.dt.days ](pandas.Series.dt.days.html)
    * [ pandas.Series.dt.seconds ](pandas.Series.dt.seconds.html)
    * [ pandas.Series.dt.microseconds ](pandas.Series.dt.microseconds.html)
    * [ pandas.Series.dt.nanoseconds ](pandas.Series.dt.nanoseconds.html)
    * [ pandas.Series.dt.components ](pandas.Series.dt.components.html)
    * [ pandas.Series.dt.unit ](pandas.Series.dt.unit.html)
    * [ pandas.Series.dt.to_pytimedelta ](pandas.Series.dt.to_pytimedelta.html)
    * [ pandas.Series.dt.total_seconds ](pandas.Series.dt.total_seconds.html)
    * [ pandas.Series.dt.as_unit ](pandas.Series.dt.as_unit.html)
    * [ pandas.Series.str.capitalize ](pandas.Series.str.capitalize.html)
    * [ pandas.Series.str.casefold ](pandas.Se