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Pandas Cookbook
book

Pandas Cookbook

by Theodore Petrou, Kuntal Ganguly
October 2017
Intermediate to advanced
532 pages
16h 10m
English
Packt Publishing
Content preview from Pandas Cookbook

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It is possible to use resample even when the index does not contain a Timestamp. You can use the on parameter to select the column with Timestamps that will be used to form groups:

>>> crime = pd.read_hdf('data/crime.h5', 'crime')>>> weekly_crimes2 = crime.resample('W', on='REPORTED_DATE').size()>>> weekly_crimes2.equals(weekly_crimes)True

Similarly, this is possible using groupby with pd.Grouper by selecting the Timestamp column with the key parameter:

>>> weekly_crimes_gby2 = crime.groupby(pd.Grouper(key='REPORTED_DATE',                                                   freq='W')).size()>>> weekly_crimes_gby2.equals(weekly_crimes_gby)True

We can also easily produce a line plot of all the crimes in Denver (including traffic accidents) by calling the plot method on our ...

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Publisher Resources

ISBN: 9781784393878