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7 years ago
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{"entries":[{"name":"1. Installation","path":"install","type":"Manual"},{"name":"2. Frequently Asked Questions (FAQ)","path":"faq","type":"Manual"},{"name":"3. Package overview","path":"overview","type":"Manual"},{"name":"4. 10 Minutes to pandas","path":"10min","type":"Manual"},{"name":"5. Tutorials","path":"tutorials","type":"Manual"},{"name":"6. Cookbook","path":"cookbook","type":"Manual"},{"name":"7. Intro to Data Structures","path":"dsintro","type":"Manual"},{"name":"8. Essential Basic Functionality","path":"basics","type":"Manual"},{"name":"9. Working with Text Data","path":"text","type":"Manual"},{"name":"10. Options and Settings","path":"options","type":"Manual"},{"name":"11. Indexing and Selecting Data","path":"indexing","type":"Manual"},{"name":"12. MultiIndex / Advanced Indexing","path":"advanced","type":"Manual"},{"name":"13. Computational tools","path":"computation","type":"Manual"},{"name":"14. Working with missing data","path":"missing_data","type":"Manual"},{"name":"15. Group By: split-apply-combine","path":"groupby","type":"Manual"},{"name":"16. Merge, join, and concatenate","path":"merging","type":"Manual"},{"name":"17. Reshaping and Pivot Tables","path":"reshaping","type":"Manual"},{"name":"18. Time Series / Date functionality","path":"timeseries","type":"Manual"},{"name":"19. Time Deltas","path":"timedeltas","type":"Manual"},{"name":"20. Categorical Data","path":"categorical","type":"Manual"},{"name":"21. Visualization","path":"visualization","type":"Manual"},{"name":"22. Style","path":"style","type":"Manual"},{"name":"23. IO Tools (Text, CSV, HDF5, ...)","path":"io","type":"Manual"},{"name":"24. Remote Data Access","path":"remote_data","type":"Manual"},{"name":"25. Enhancing Performance","path":"enhancingperf","type":"Manual"},{"name":"26. Sparse data structures","path":"sparse","type":"Manual"},{"name":"27. Caveats and Gotchas","path":"gotchas","type":"Manual"},{"name":"28. rpy2 / R interface","path":"r_interface","type":"Manual"},{"name":"29. pandas Ecosystem","path":"ecosystem","type":"Manual"},{"name":"30. Comparison with R / R libraries","path":"comparison_with_r","type":"Manual"},{"name":"31. Comparison with SQL","path":"comparison_with_sql","type":"Manual"},{"name":"32. Comparison with SAS","path":"comparison_with_sas","type":"Manual"},{"name":"33. 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","path":"generated/pandas.categoricalindex","type":"CategoricalIndex"},{"name":"CategoricalIndex.add_categories()","path":"generated/pandas.categoricalindex.add_categories","type":"CategoricalIndex"},{"name":"CategoricalIndex.all()","path":"generated/pandas.categoricalindex.all","type":"CategoricalIndex"},{"name":"CategoricalIndex.any()","path":"generated/pandas.categoricalindex.any","type":"CategoricalIndex"},{"name":"CategoricalIndex.append()","path":"generated/pandas.categoricalindex.append","type":"CategoricalIndex"},{"name":"CategoricalIndex.argmax()","path":"generated/pandas.categoricalindex.argmax","type":"CategoricalIndex"},{"name":"CategoricalIndex.argmin()","path":"generated/pandas.categoricalindex.argmin","type":"CategoricalIndex"},{"name":"CategoricalIndex.argsort()","path":"generated/pandas.categoricalindex.argsort","type":"CategoricalIndex"},{"name":"CategoricalIndex.asi8","path":"generated/pandas.categoricalindex.asi8","type":"CategoricalIndex"},{"name":"CategoricalIndex.asof()","path":"generated/pandas.categoricalindex.asof","type":"CategoricalIndex"},{"name":"CategoricalIndex.asof_locs()","path":"generated/pandas.categoricalindex.asof_locs","type":"CategoricalIndex"},{"name":"CategoricalIndex.astype()","path":"generated/pandas.categoricalindex.astype","type":"CategoricalIndex"},{"name":"CategoricalIndex.as_ordered()","path":"generated/pandas.categoricalindex.as_ordered","type":"Categorical
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