Table Of Contents

• What’s New
• Installation
• Contributing to pandas
• 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
• Styling
• IO Tools (Text, CSV, HDF5, …)
• Enhancing Performance
• Sparse data structures
• Frequently Asked Questions (FAQ)
• rpy2 / R interface
• pandas Ecosystem
• Comparison with R / R libraries
• Comparison with SQL
• Comparison with SAS
• Comparison with Stata
• API Reference
  • Input/Output
  • General functions
  • Series
  • DataFrame
  • Panel
  • Index
  • Numeric Index
  • CategoricalIndex
  • IntervalIndex
  • MultiIndex
  • DatetimeIndex
  • TimedeltaIndex
  • PeriodIndex
  • Scalars
  • Frequencies
  • Window
  • GroupBy
  • Resampling
  • Style
  • Plotting
  • General utility functions
    • Working with options
    • Testing functions
    • Exceptions and warnings
    • Data types related functionality
      • pandas.api.types.union_categoricals
      • pandas.api.types.infer_dtype
      • pandas.api.types.pandas_dtype
      • pandas.api.types.is_bool_dtype
      • pandas.api.types.is_categorical_dtype
      • pandas.api.types.is_complex_dtype
      • pandas.api.types.is_datetime64_any_dtype
      • pandas.api.types.is_datetime64_dtype
      • pandas.api.types.is_datetime64_ns_dtype
      • pandas.api.types.is_datetime64tz_dtype
      • pandas.api.types.is_extension_type
      • pandas.api.types.is_float_dtype
      • pandas.api.types.is_int64_dtype
      • pandas.api.types.is_integer_dtype
      • pandas.api.types.is_interval_dtype
      • pandas.api.types.is_numeric_dtype
      • pandas.api.types.is_object_dtype
      • pandas.api.types.is_period_dtype
      • pandas.api.types.is_signed_integer_dtype
      • pandas.api.types.is_string_dtype
      • pandas.api.types.is_timedelta64_dtype
      • pandas.api.types.is_timedelta64_ns_dtype
      • pandas.api.types.is_unsigned_integer_dtype
      • pandas.api.types.is_sparse
      • pandas.api.types.is_dict_like
      • pandas.api.types.is_file_like
      • pandas.api.types.is_list_like
      • pandas.api.types.is_named_tuple
      • pandas.api.types.is_iterator
      • pandas.api.types.is_bool
      • pandas.api.types.is_categorical
      • pandas.api.types.is_complex
      • pandas.api.types.is_datetimetz
      • pandas.api.types.is_float
      • pandas.api.types.is_hashable
      • pandas.api.types.is_integer
      • pandas.api.types.is_interval
      • pandas.api.types.is_number
      • pandas.api.types.is_period
      • pandas.api.types.is_re
      • pandas.api.types.is_re_compilable
      • pandas.api.types.is_scalar
  • Extensions
• Developer
• Internals
• Extending Pandas
• Release Notes