pandas 1.4.2

ParametersReturnsBackRef
concat_compat(to_concat, axis: int = 0, ea_compat_axis: bool = False)

Parameters

to_concat : array of arrays
axis : axis to provide concatenation
ea_compat_axis : bool, default False

For ExtensionArray compat, behave as if axis == 1 when determining whether to drop empty arrays.

Returns

a single array, preserving the combined dtypes

provide concatenation of an array of arrays each of which is a single 'normalized' dtypes (in that for example, if it's object, then it is a non-datetimelike and provide a combined dtype for the resulting array that preserves the overall dtype if possible)

Examples

See :

Back References

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

pandas.core.internals.concat._is_uniform_join_units

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File: /pandas/core/dtypes/concat.py#74
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