files to create a single DataFrame . . . . . . . . . . . . . . . . . 480 7.9.1.2 Parsing date components in multi-columns . . . . . . . . . . . . . . . . . . . . . . 481 7.9.1.3 Skip row between header Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 858 19.7 Time/Date Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 859 19.8 DateOffset nanoseconds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1439 34.3.13.42pandas.Series.dt.components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1439 34.3.13.43pandas.Series.dt.to_pytimedelta

files to create a single DataFrame . . . . . . . . . . . . . . . . . 453 7.9.1.2 Parsing date components in multi-columns . . . . . . . . . . . . . . . . . . . . . . 453 7.9.1.3 Skip row between header Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 827 19.7 Time/Date Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 827 19.8 DateOffset nanoseconds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1380 34.3.13.42pandas.Series.dt.components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1380 34.3.13.43pandas.Series.dt.to_pytimedelta

files to create a single DataFrame . . . . . . . . . . . . . . . . . 451 7.9.1.2 Parsing date components in multi-columns . . . . . . . . . . . . . . . . . . . . . . 451 7.9.1.3 Skip row between header Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 823 19.7 Time/Date Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 823 19.8 DateOffset nanoseconds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1360 34.3.13.42pandas.Series.dt.components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1360 34.3.13.43pandas.Series.dt.to_pytimedelta

Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739 20.6.4 Time/Date Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739 20.7 DateOffset nanoseconds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1261 pandas.Series.dt.components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1261 pandas.Series.dt.to_pytimedelta where . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1615 35.8.2 Categorical Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1616 35.9 MultiIndex

Indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 20.6.4 Time/Date Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741 20.7 DateOffset nanoseconds . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 pandas.Series.dt.components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1264 pandas.Series.dt.to_pytimedelta where . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1619 35.8.2 Categorical Components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1619 35.9 MultiIndex

value_counts for float dtype (GH10821) • Enable infer_datetime_format in to_datetime when date components do not have 0 padding (GH11142) • Regression from 0.16.1 in constructing DataFrame from nested match that of datetime.timedelta. Further, the component values are still available through the .components accessor. This affects the .seconds and .microseconds accessors, and removes the .hours, .minutes powerful Python data analysis toolkit, Release 0.17.0 Using .components allows the full component access In [37]: t.components Out[37]: Components(days=1L, hours=10L, minutes=11L, seconds=12L, milliseconds=100L

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 744 2.17.7 Time/date components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 2.17.8 DateOffset by the dt accessor. An overview of the existing date properties is given in the time and date components overview table. More details about the dt accessor to return datetime like properties are explained dtype: int64 In [295]: s.dt.seconds Out[295]: 0 5 1 6 2 7 3 8 dtype: int64 In [296]: s.dt.components Out[296]: days hours minutes seconds milliseconds microseconds nanoseconds 0 1 0 0 5 0 0 0 1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 744 2.17.7 Time/date components . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 752 2.17.8 DateOffset by the dt accessor. An overview of the existing date properties is given in the time and date components overview table. More details about the dt accessor to return datetime like properties are explained dtype: int64 In [295]: s.dt.seconds Out[295]: 0 5 1 6 2 7 3 8 dtype: int64 In [296]: s.dt.components Out[296]: days hours minutes seconds milliseconds microseconds nanoseconds 0 1 0 0 5 0 0 0 1

\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\Out[291]: ˓→ 0 5 1 6 2 7 3 8 dtype: int64 In [292]: s.dt.components \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\ 5 dtype: int64 See Iterating through groups or Resampler.__iter__ for more. 4.13.8 Time/Date Components There are several time/date properties that one can access from Timestamp or a collection of timestamps days 00:00:00.000000'), Timedelta('0 days 01:00:00')) 4.14.5 Attributes You can access various components of the Timedelta or TimedeltaIndex directly using the attributes days,seconds,microseconds,nanoseconds

0.0 (continued from previous page) Out[292]: 0 5 1 6 2 7 3 8 dtype: int64 In [293]: s.dt.components Out[293]: days hours minutes seconds milliseconds microseconds nanoseconds 0 1 0 0 5 0 0 0 1 -01-02', '2011-01-16', '2011-02-13'], dtype= ˓→'datetime64[ns]', freq=None) 3.14.7 Time/date components There are several time/date properties that one can access from Timestamp or a collection of timestamps days 00:00:00.000000'), Timedelta('0 days 01:00:00')) 3.15.5 Attributes You can access various components of the Timedelta or TimedeltaIndex directly using the attributes days,seconds,microseconds,nanoseconds