GITHUB . COM {}

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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month


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Keywords {🔍}

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Topics {✒️}

copy=true/false keyword pandas type personal information depr inplace dtype-changing methods type projects inplace=false keyword bit similar issue remove_categories deprecate inplace remove_unused_categories deprecate inplace olehkss mentioned inplace deprecation discussion add_categories deprecate inplace reorder_categories deprecate inplace rename_categories deprecate inplace set_categories deprecate inplace pull request deprecate inplace projects milestone inplace=true data categorical dtype triage issue github categorical object happen inplace inplace ability existing array' unexpected errors rhshadrach removed milestone relationships deprecate issue categorical changing remove_unused_categories methods dtype add_categories reorder_categories rename_categories copy set_categories ability object skip jump sign alter footgun return

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Questions {❓}

• Already have an account?
• And with inplace=True this can be expected?
• Could you check it?
• For the other methods, should I create separate pull requests for each one of them so as to keep them small?

Schema {🗺️}

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      headline:DEPR: inplace dtype-changing methods on Categorical
      articleBody:- [x] `Categorical.remove_unused_categories` https://github.com/pandas-dev/pandas/pull/37918 - [x] `Cateogrical.remove_categories` #37981 - [x] `Categorical.add_categories` https://github.com/pandas-dev/pandas/pull/41118 - [x] `Categorical.reorder_categories` https://github.com/pandas-dev/pandas/pull/41133 - [x] `Categorical.rename_categories` #41186 - [x] `Categorical.set_categories` https://github.com/pandas-dev/pandas/pull/41307 The ability to alter an existing array's dtype is a footgun. We can return a new object without having to make a copy.
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      headline:DEPR: inplace dtype-changing methods on Categorical
      articleBody:- [x] `Categorical.remove_unused_categories` https://github.com/pandas-dev/pandas/pull/37918 - [x] `Cateogrical.remove_categories` #37981 - [x] `Categorical.add_categories` https://github.com/pandas-dev/pandas/pull/41118 - [x] `Categorical.reorder_categories` https://github.com/pandas-dev/pandas/pull/41133 - [x] `Categorical.rename_categories` #41186 - [x] `Categorical.set_categories` https://github.com/pandas-dev/pandas/pull/41307 The ability to alter an existing array's dtype is a footgun. We can return a new object without having to make a copy.
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