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{"entries":[{"name":"1. Installation","path":"install","type":"Manual"},{"name":"2. Package overview","path":"overview","type":"Manual"},{"name":"3. 10 Minutes to pandas","path":"10min","type":"Manual"},{"name":"4. Tutorials","path":"tutorials","type":"Manual"},{"name":"5. Cookbook","path":"cookbook","type":"Manual"},{"name":"6. Intro to Data Structures","path":"dsintro","type":"Manual"},{"name":"7. Essential Basic Functionality","path":"basics","type":"Manual"},{"name":"8. Working with Text Data","path":"text","type":"Manual"},{"name":"9. Options and Settings","path":"options","type":"Manual"},{"name":"10. Indexing and Selecting Data","path":"indexing","type":"Manual"},{"name":"11. MultiIndex / Advanced Indexing","path":"advanced","type":"Manual"},{"name":"12. Computational tools","path":"computation","type":"Manual"},{"name":"13. Working with missing data","path":"missing_data","type":"Manual"},{"name":"14. Group By: split-apply-combine","path":"groupby","type":"Manual"},{"name":"15. Merge, join, and concatenate","path":"merging","type":"Manual"},{"name":"16. Reshaping and Pivot Tables","path":"reshaping","type":"Manual"},{"name":"17. Time Series / Date functionality","path":"timeseries","type":"Manual"},{"name":"18. Time Deltas","path":"timedeltas","type":"Manual"},{"name":"19. Categorical Data","path":"categorical","type":"Manual"},{"name":"20. Visualization","path":"visualization","type":"Manual"},{"name":"21. Styling","path":"style","type":"Manual"},{"name":"22. IO Tools (Text, CSV, HDF5, ...)","path":"io","type":"Manual"},{"name":"23. Remote Data Access","path":"remote_data","type":"Manual"},{"name":"24. Enhancing Performance","path":"enhancingperf","type":"Manual"},{"name":"25. Sparse data structures","path":"sparse","type":"Manual"},{"name":"26. Frequently Asked Questions (FAQ)","path":"gotchas","type":"Manual"},{"name":"27. rpy2 / R interface","path":"r_interface","type":"Manual"},{"name":"28. pandas Ecosystem","path":"ecosystem","type":"Manual"},{"name":"29. Comparison with R / R libraries","path":"comparison_with_r","type":"Manual"},{"name":"30. Comparison with SQL","path":"comparison_with_sql","type":"Manual"},{"name":"31. Comparison with SAS","path":"comparison_with_sas","type":"Manual"},{"name":"32. API Reference","path":"api","type":"Manual"},{"name":"Categorical()","path":"generated/pandas.categorical","type":"Series"},{"name":"Categorical.from_codes()","path":"generated/pandas.categorical.from_codes","type":"Series"},{"name":"Categorical.__array__()","path":"generated/pandas.categorical.__array__","type":"Series"},{"name":"CategoricalIndex.add_categories()","path":"generated/pandas.categoricalindex.add_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.as_ordered()","path":"generated/pandas.categoricalindex.as_ordered","type":"CategoricalIndex"},{"name":"CategoricalIndex.as_unordered()","path":"generated/pandas.categoricalindex.as_unordered","type":"CategoricalIndex"},{"name":"CategoricalIndex.categories","path":"generated/pandas.categoricalindex.categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.codes","path":"generated/pandas.categoricalindex.codes","type":"CategoricalIndex"},{"name":"CategoricalIndex.ordered","path":"generated/pandas.categoricalindex.ordered","type":"CategoricalIndex"},{"name":"CategoricalIndex.remove_categories()","path":"generated/pandas.categoricalindex.remove_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.remove_unused_categories()","path":"generated/pandas.categoricalindex.remove_unused_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.rename_categories()","path":"generated/pandas.categoricalindex.rename_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.reorder_categories()","path":"generated/pandas.categoricalindex.reorder_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.set_categories()","path":"generated/pandas.categoricalindex.set_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex[source]","path":"generated/pandas.categoricalindex","type":"CategoricalIndex"},{"name":"Da
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