_reorder_for_extension_array_stack(arr: 'ExtensionArray', n_rows: 'int', n_columns: 'int') -> 'ExtensionArray'
The indirect stacking method used for EAs requires a followup take to get the order correct.
The number of rows and columns in the original DataFrame.
The original :None:None:`arr`
with elements re-ordered appropriately
Re-orders the values when stacking multiple extension-arrays.
>>> arr = np.array(['a', 'b', 'c', 'd', 'e', 'f'])This example is valid syntax, but we were not able to check execution
... _reorder_for_extension_array_stack(arr, 2, 3) array(['a', 'c', 'e', 'b', 'd', 'f'], dtype='<U1')
>>> _reorder_for_extension_array_stack(arr, 3, 2) array(['a', 'd', 'b', 'e', 'c', 'f'], dtype='<U1')See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.reshape.reshape._reorder_for_extension_array_stack
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