October 2017
Intermediate to advanced
532 pages
16h 10m
English
Content preview from Pandas Cookbook
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How it works...
Each DataFrame column must be exactly one type. For instance, every value in the column aspect_ratio is a 64-bit float, and every value in movie_facebook_likes is a 64-bit integer. Pandas defaults its core numeric types, integers, and floats to 64 bits regardless of the size necessary for all data to fit in memory. Even if a column consists entirely of the integer value 0, the data type will still be int64. get_dtype_counts is a convenience method for directly returning the count of all the data types in the DataFrame.
Homogeneous data is another term for referring to columns that all have the same type. DataFrames as a whole may contain heterogeneous data of different data types for different columns.
The object data type ...
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