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8 changes: 4 additions & 4 deletions pandas/util/testing.py
Original file line number Diff line number Diff line change
Expand Up @@ -585,7 +585,7 @@ def assert_index_equal(
----------
left : Index
right : Index
exact : bool / string {'equiv'}, default 'equiv'
exact : bool / str {'equiv'}, default 'equiv'
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I'd prefer bool or {'equiv'}, what do you think? (in all cases)

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@datapythonista yeah we could do that. I will make the required changes and resubmit it then

Whether to check the Index class, dtype and inferred_type
are identical. If 'equiv', then RangeIndex can be substituted for
Int64Index as well.
Expand Down Expand Up @@ -1089,7 +1089,7 @@ def assert_series_equal(
right : Series
check_dtype : bool, default True
Whether to check the Series dtype is identical.
check_index_type : bool / string {'equiv'}, default 'equiv'
check_index_type : bool / str {'equiv'}, default 'equiv'
Whether to check the Index class, dtype and inferred_type
are identical.
check_series_type : bool, default True
Expand Down Expand Up @@ -1251,10 +1251,10 @@ def assert_frame_equal(
Second DataFrame to compare.
check_dtype : bool, default True
Whether to check the DataFrame dtype is identical.
check_index_type : bool / string {'equiv'}, default 'equiv'
check_index_type : bool / str {'equiv'}, default 'equiv'
Whether to check the Index class, dtype and inferred_type
are identical.
check_column_type : bool / string {'equiv'}, default 'equiv'
check_column_type : bool / str {'equiv'}, default 'equiv'
Whether to check the columns class, dtype and inferred_type
are identical. Is passed as the ``exact`` argument of
:func:`assert_index_equal`.
Expand Down