is_datetime64_dtype(arr_or_dtype) -> 'bool'

Parameters

arr_or_dtype : array-like or dtype

The array-like or dtype to check.

Returns

boolean

Whether or not the array-like or dtype is of the datetime64 dtype.

Check whether an array-like or dtype is of the datetime64 dtype.

Examples

This example is valid syntax, but we were not able to check execution

>>> is_datetime64_dtype(object)
False

This example is valid syntax, but we were not able to check execution

>>> is_datetime64_dtype(np.datetime64)
True

This example is valid syntax, but we were not able to check execution

>>> is_datetime64_dtype(np.array([], dtype=int))
False

This example is valid syntax, but we were not able to check execution

>>> is_datetime64_dtype(np.array([], dtype=np.datetime64))
True

This example is valid syntax, but we were not able to check execution

>>> is_datetime64_dtype([1, 2, 3])
False

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.dtypes.common.is_datetime64_dtype

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File: /pandas/core/dtypes/common.py#315
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