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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:
Below table summarizes the key points:
Pandas dtype | Python type | NumPy type | Usage |
---|---|---|---|
object | str | string_, unicode_ | Text |
int64 | int | int_, int8, int16, int32, int64, uint8, uint16, uint32, uint64 | Integer numbers |
float64 | float | float_, float16, float32, float64 | Floating point numbers |
bool | bool | bool_ | True/False values |
datetime64 | NA | datetime64[ns] | Date and time values |
timedelta[ns] | NA | NA | Differences between two datetimes |
category | NA | NA | Finite list of text values |
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