Pandas Time Series Data Structures As mentioned before, it is essentially a replacement for Python’s native datetime , but is based on the more efficient numpy. datetime64 data type. The associated Index structure is DatetimeIndex . For time Periods, Pandas provides the Period type.
Read moreIs pandas Series faster than NumPy?
NumPy provides n dimensional arrays, Data Type (dtype), etc. as objects. In the Series of Pandas, indexing is relatively slower compared to the Arrays in NumPy. The indexing of NumPy arrays is faster than that of the Pandas Series .
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