Table Of Contents
- What’s New
- Installation
- Contributing to pandas
- Frequently Asked Questions (FAQ)
- Package overview
- 10 Minutes to pandas
- Tutorials
- Cookbook
- Intro to Data Structures
- Essential Basic Functionality
- Working with Text Data
- Options and Settings
- Indexing and Selecting Data
- MultiIndex / Advanced Indexing
- Computational tools
- Working with missing data
- Group By: split-apply-combine
- Merge, join, and concatenate
- Reshaping and Pivot Tables
- Time Series / Date functionality
- Time Deltas
- Categorical Data
- Visualization
- Style
- IO Tools (Text, CSV, HDF5, ...)
- Remote Data Access
- Enhancing Performance
- Sparse data structures
- Caveats and Gotchas
- rpy2 / R interface
- pandas Ecosystem
- Comparison with R / R libraries
- Comparison with SQL
- Comparison with SAS
- API Reference
- Input/Output
- General functions
- Series
- DataFrame
- Panel
- Panel4D
- Index
- CategoricalIndex
- pandas.CategoricalIndex
- pandas.CategoricalIndex.T
- pandas.CategoricalIndex.asi8
- pandas.CategoricalIndex.base
- pandas.CategoricalIndex.categories
- pandas.CategoricalIndex.codes
- pandas.CategoricalIndex.data
- pandas.CategoricalIndex.dtype
- pandas.CategoricalIndex.dtype_str
- pandas.CategoricalIndex.flags
- pandas.CategoricalIndex.has_duplicates
- pandas.CategoricalIndex.hasnans
- pandas.CategoricalIndex.inferred_type
- pandas.CategoricalIndex.is_all_dates
- pandas.CategoricalIndex.is_monotonic
- pandas.CategoricalIndex.is_monotonic_decreasing
- pandas.CategoricalIndex.is_monotonic_increasing
- pandas.CategoricalIndex.is_unique
- pandas.CategoricalIndex.itemsize
- pandas.CategoricalIndex.name
- pandas.CategoricalIndex.names
- pandas.CategoricalIndex.nbytes
- pandas.CategoricalIndex.ndim
- pandas.CategoricalIndex.nlevels
- pandas.CategoricalIndex.ordered
- pandas.CategoricalIndex.shape
- pandas.CategoricalIndex.size
- pandas.CategoricalIndex.strides
- pandas.CategoricalIndex.values
- pandas.CategoricalIndex.add_categories
- pandas.CategoricalIndex.all
- pandas.CategoricalIndex.any
- pandas.CategoricalIndex.append
- pandas.CategoricalIndex.argmax
- pandas.CategoricalIndex.argmin
- pandas.CategoricalIndex.argsort
- pandas.CategoricalIndex.as_ordered
- pandas.CategoricalIndex.as_unordered
- pandas.CategoricalIndex.asof
- pandas.CategoricalIndex.asof_locs
- pandas.CategoricalIndex.astype
- pandas.CategoricalIndex.copy
- pandas.CategoricalIndex.delete
- pandas.CategoricalIndex.difference
- pandas.CategoricalIndex.drop
- pandas.CategoricalIndex.drop_duplicates
- pandas.CategoricalIndex.dropna
- pandas.CategoricalIndex.duplicated
- pandas.CategoricalIndex.equals
- pandas.CategoricalIndex.factorize
- pandas.CategoricalIndex.fillna
- pandas.CategoricalIndex.format
- pandas.CategoricalIndex.get_duplicates
- pandas.CategoricalIndex.get_indexer
- pandas.CategoricalIndex.get_indexer_for
- pandas.CategoricalIndex.get_indexer_non_unique
- pandas.CategoricalIndex.get_level_values
- pandas.CategoricalIndex.get_loc
- pandas.CategoricalIndex.get_slice_bound
- pandas.CategoricalIndex.get_value
- pandas.CategoricalIndex.get_values
- pandas.CategoricalIndex.groupby
- pandas.CategoricalIndex.holds_integer
- pandas.CategoricalIndex.identical
- pandas.CategoricalIndex.insert
- pandas.CategoricalIndex.intersection
- pandas.CategoricalIndex.is
- pandas.CategoricalIndex.is_boolean
- pandas.CategoricalIndex.is_categorical
- pandas.CategoricalIndex.is_floating
- pandas.CategoricalIndex.is_integer
- pandas.CategoricalIndex.is_lexsorted_for_tuple
- pandas.CategoricalIndex.is_mixed
- pandas.CategoricalIndex.is_numeric
- pandas.CategoricalIndex.is_object
- pandas.CategoricalIndex.is_type_compatible
- pandas.CategoricalIndex.isin
- pandas.CategoricalIndex.item
- pandas.CategoricalIndex.join
- pandas.CategoricalIndex.map
- pandas.CategoricalIndex.max
- pandas.CategoricalIndex.memory_usage
- pandas.CategoricalIndex.min
- pandas.CategoricalIndex.nunique
- pandas.CategoricalIndex.order
- pandas.CategoricalIndex.putmask
- pandas.CategoricalIndex.ravel
- pandas.CategoricalIndex.reindex
- pandas.CategoricalIndex.remove_categories
- pandas.CategoricalIndex.remove_unused_categories
- pandas.CategoricalIndex.rename
- pandas.CategoricalIndex.rename_categories
- pandas.CategoricalIndex.reorder_categories
- pandas.CategoricalIndex.repeat
- pandas.CategoricalIndex.reshape
- pandas.CategoricalIndex.searchsorted
- pandas.CategoricalIndex.set_categories
- pandas.CategoricalIndex.set_names
- pandas.CategoricalIndex.set_value
- pandas.CategoricalIndex.shift
- pandas.CategoricalIndex.slice_indexer
- pandas.CategoricalIndex.slice_locs
- pandas.CategoricalIndex.sort
- pandas.CategoricalIndex.sort_values
- pandas.CategoricalIndex.sortlevel
- pandas.CategoricalIndex.str
- pandas.CategoricalIndex.summary
- pandas.CategoricalIndex.sym_diff
- pandas.CategoricalIndex.symmetric_difference
- pandas.CategoricalIndex.take
- pandas.CategoricalIndex.to_datetime
- pandas.CategoricalIndex.to_native_types
- pandas.CategoricalIndex.to_series
- pandas.CategoricalIndex.tolist
- pandas.CategoricalIndex.transpose
- pandas.CategoricalIndex.union
- pandas.CategoricalIndex.unique
- pandas.CategoricalIndex.value_counts
- pandas.CategoricalIndex.view
- pandas.CategoricalIndex.where
- Categorical Components
- pandas.CategoricalIndex
- MultiIndex
- DatetimeIndex
- TimedeltaIndex
- Window
- GroupBy
- Resampling
- Style
- General utility functions
- Internals
- Release Notes
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pandas.CategoricalIndex.to_datetime¶
-
CategoricalIndex.to_datetime(dayfirst=False)[source]¶ DEPRECATED: use
pandas.to_datetime()instead.For an Index containing strings or datetime.datetime objects, attempt conversion to DatetimeIndex