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Keywords {🔍}

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Topics {✒️}

api/behavior deprecate functionality personal information api pandas index related suggest dtype checking alternative solutions type projects issue type dtype checking functions numeric dtype checks api/behavior subclasses good projects milestone triage issue github deprecate index removed enhancement functionality pandas deprevate index index class started working beginner friendly milestone relationships mentioned methods propose deprecating make users issue api dtype deprecate index is_integer functions users alternative deprecating methods numeric is_boolean depr skip jump sign is_ boolean categorical integer floating object interval

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      headline:API: Deprecate Index.is_(boolean|categorical|integer|floating|numeric|object|interval)
      articleBody:### Feature Type - [ ] Adding new functionality to pandas - [ ] Changing existing functionality in pandas - [X] Removing existing functionality in pandas ### Problem Description I propose deprecating the mentioned methods on `Index`. I suggest dtype checking should be the same for indexes, series and arrays, so e.g. if users want to check the dtype of an index they should use the functions in `pandas.api.types`, e.g. for numeric dtype checks, do `pd.api.types.is_numeric_dtype(idx)`. ### Feature Description Deprecate the mentioned methods and make users use the functions they'd use for series, i.e. the dtype checking functions in `pandas.api.types`. ### Alternative Solutions The alternative is not deprecating the methods... ### Methods to deprecate: - [x] is_boolean (PR: #50176) - [x] is_integer (PR: #50178) - [x] is_floating (PR: #50235) - [x] is_numeric (PR: #50769) - [x] is_object (PR: #50227) - [x] is_categorical (PR: #50225) - [x] is_interval (PR: #50196)
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      headline:API: Deprecate Index.is_(boolean|categorical|integer|floating|numeric|object|interval)
      articleBody:### Feature Type - [ ] Adding new functionality to pandas - [ ] Changing existing functionality in pandas - [X] Removing existing functionality in pandas ### Problem Description I propose deprecating the mentioned methods on `Index`. I suggest dtype checking should be the same for indexes, series and arrays, so e.g. if users want to check the dtype of an index they should use the functions in `pandas.api.types`, e.g. for numeric dtype checks, do `pd.api.types.is_numeric_dtype(idx)`. ### Feature Description Deprecate the mentioned methods and make users use the functions they'd use for series, i.e. the dtype checking functions in `pandas.api.types`. ### Alternative Solutions The alternative is not deprecating the methods... ### Methods to deprecate: - [x] is_boolean (PR: #50176) - [x] is_integer (PR: #50178) - [x] is_floating (PR: #50235) - [x] is_numeric (PR: #50769) - [x] is_object (PR: #50227) - [x] is_categorical (PR: #50225) - [x] is_interval (PR: #50196)
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