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Thursday, January 24, 2019

Overview of Pandas Data Types

Pandas Data Types

A data type is essentially an internal construct that a programming language uses to understand how to store and manipulate data.  A possible confusing point about pandas data types is that there is some overlap between pandas, python and numpy.
Below table summarizes the key points:
Pandas dtype mappings:
Pandas dtypePython typeNumPy typeUsage
objectstrstring_, unicode_Text
int64intint_, int8, int16, int32, int64, uint8, uint16, uint32, uint64Integer numbers
float64floatfloat_, float16, float32, float64Floating point numbers
boolboolbool_True/False values
datetime64NAdatetime64[ns]Date and time values
timedelta[ns]NANADifferences between two datetimes
categoryNANAFinite list of text values
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