is_dtype_equal(source, target) -> 'bool'

Parameters

source : The first dtype to compare

target : The second dtype to compare

Returns

boolean

Whether or not the two dtypes are equal.

Check if two dtypes are equal.

Examples

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

>>> is_dtype_equal(int, float)
False

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

>>> is_dtype_equal("int", int)
True

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

>>> is_dtype_equal(object, "category")
False

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

>>> is_dtype_equal(CategoricalDtype(), "category")
True

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

>>> is_dtype_equal(DatetimeTZDtype(tz="UTC"), "datetime64")
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_dtype_equal

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File: /pandas/core/dtypes/common.py#581
type: <class 'function'>
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