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 Denver crimes dataset from the hdf5 file crimes.h5, and output the column data types and the first few rows. The hdf5 file format allows efficient storage of large scientific data and is completely different from a CSV text file.
>>> crime = pd.read_hdf('data/crime.h5', 'crime')>>> crime.dtypesOFFENSE_TYPE_ID category
OFFENSE_CATEGORY_ID category
REPORTED_DATE datetime64[ns]
GEO_LON float64
GEO_LAT float64
NEIGHBORHOOD_ID category
IS_CRIME int64
IS_TRAFFIC int64
dtype: object
- Notice that there are three categorical columns and a Timestamp (denoted by NumPy's datetime64 object). These data types were stored whenever the data file was created, unlike a CSV file, which only stores raw text. Set the REPORTED_DATE ...
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