October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How to do it...
- Read in the crime hdf5 dataset, set the index as REPORTED_DATE, and ensure that we have a DatetimeIndex:
>>> crime = pd.read_hdf('data/crime.h5', 'crime') \ .set_index('REPORTED_DATE')>>> print(type(crime.index))<class 'pandas.core.indexes.datetimes.DatetimeIndex'>
- Use the between_time method to select all crimes that occurred between 2 a.m. and 5 a.m., regardless of the date:
>>> crime.between_time('2:00', '5:00', include_end=False).head()
- Select all dates at a specific time with at_time:
>>> crime.at_time('5:47').head()
- The first methods provide an elegant way of selecting the first n segments of time, where n is ...
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