October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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pandas/tseries
This section deals with the pandas/tseries module, which gives pandas its functionality to work with time series data:
- api.py: This is a set of convenience imports.
- converter.py: This defines a set of classes that are used to format and convert.
- datetime: Upon importing pandas, this registers a set of unit converters with matplotlib. This is done via the register() function, as follows:
In [1]: import matplotlib.units as munitsIn [2]: munits.registryOut[2]: {}In [3]: import pandasIn [4]: munits.registryOut[4]:{pandas.tslib.Timestamp: <pandas.tseries.converter.DatetimeConverter instance at 0x7fbbc4db17e8>,pandas.tseries.period.Period: <pandas.tseries.converter.PeriodConverter instance at 0x7fbbc4dc25f0>,datetime.date: <pandas.tseries.converter.DatetimeConverter ...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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