October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How it works...
The read_csv function in step 1 allows to both convert columns into Timestamps and put them in the index at the same time creating a DatetimeIndex. Steps 2 does a simple groupby operation with a single grouping column, gender. Step 3 uses the resample method with the offset alias 10AS to form groups in 10-year increments of time. The A is the alias for year and the S informs us that the beginning of the period is used as the label. For instance, the data for the label 1988-01-01 spans that date until December 31, 1997.
Interestingly, the object returned from a call to the groupby method has its own resample method, but the reverse is not true:
>>> 'resample' in dir(employee.groupby('GENDER'))True>>> 'groupby' in dir(employee.resample('10AS')) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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