](pandas.Index.take.html)
    * [ pandas.Index.putmask ](pandas.Index.putmask.html)
    * [ pandas.Index.unique ](pandas.Index.unique.html)
    * [ pandas.Index.nunique ](pandas.Index.nunique.html)
    * [ pandas.Index.value_counts ](pandas.Index.value_counts.html)
    * [ pandas.Index.set_names ](pandas.Index.set_names.html)
    * [ pandas.Index.droplevel ](pandas.Index.droplevel.html)
    * [ pandas.Index.fillna ](pandas.Index.fillna.html)
    * [ pandas.Index.dropna ](pandas.Index.dropna.html)
    * [ pandas.Index.isna ](pandas.Index.isna.html)
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    * [ pandas.Index.map ](pandas.Index.map.html)
    * [ pandas.Index.ravel ](pandas.Index.ravel.html)
    * [ pandas.Index.to_list ](pandas.Index.to_list.html)
    * [ pandas.Index.to_series ](pandas.Index.to_series.html)
    * [ pandas.Index.to_frame ](pandas.Index.to_frame.html)
    * [ pandas.Index.view ](pandas.Index.view.html)
    * [ pandas.Index.argsort ](pandas.Index.argsort.html)
    * [ pandas.Index.searchsorted ](pandas.Index.searchsorted.html)
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    * [ pandas.Index.slice_indexer ](pandas.Index.slice_indexer.html)
    * [ pandas.Index.slice_locs ](pandas.Index.slice_locs.html)
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    * [ pandas.CategoricalIndex.remove_unused_categories ](pandas.CategoricalIndex.remove_unused_categories.html)
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    * [ pandas.CategoricalIndex.as_ordered ](pandas.CategoricalIndex.as_ordered.html)
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    * [ pandas.CategoricalIndex.map ](pandas.CategoricalIndex.map.html)
    * [ pandas.CategoricalIndex.equals ](pandas.CategoricalIndex.equals.html)
    * [ pandas.IntervalIndex ](pandas.IntervalIndex.html)
    * [ pandas.Interval