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
    • pandas.DatetimeIndex
      • pandas.DatetimeIndex.year
      • pandas.DatetimeIndex.month
      • pandas.DatetimeIndex.day
      • pandas.DatetimeIndex.hour
      • pandas.DatetimeIndex.minute
      • pandas.DatetimeIndex.second
      • pandas.DatetimeIndex.microsecond
      • pandas.DatetimeIndex.nanosecond
      • pandas.DatetimeIndex.date
      • pandas.DatetimeIndex.time
      • pandas.DatetimeIndex.dayofyear
      • pandas.DatetimeIndex.weekofyear
      • pandas.DatetimeIndex.week
      • pandas.DatetimeIndex.dayofweek
      • pandas.DatetimeIndex.weekday
      • pandas.DatetimeIndex.quarter
      • pandas.DatetimeIndex.freq
      • pandas.DatetimeIndex.freqstr
      • pandas.DatetimeIndex.is_month_start
      • pandas.DatetimeIndex.is_month_end
      • pandas.DatetimeIndex.is_quarter_start
      • pandas.DatetimeIndex.is_quarter_end
      • pandas.DatetimeIndex.is_year_start
      • pandas.DatetimeIndex.is_year_end
      • pandas.DatetimeIndex.is_leap_year
      • pandas.DatetimeIndex.inferred_freq
      • pandas.DatetimeIndex.normalize
      • pandas.DatetimeIndex.strftime
      • pandas.DatetimeIndex.snap
      • pandas.DatetimeIndex.tz_convert
      • pandas.DatetimeIndex.tz_localize
      • pandas.DatetimeIndex.round
      • pandas.DatetimeIndex.floor
      • pandas.DatetimeIndex.ceil
      • pandas.DatetimeIndex.to_period
      • pandas.DatetimeIndex.to_perioddelta
      • pandas.DatetimeIndex.to_pydatetime
      • pandas.DatetimeIndex.to_series
      • pandas.DatetimeIndex.to_frame
      • pandas.DatetimeIndex.month_name
      • pandas.DatetimeIndex.day_name
    • Time/Date Components
      • pandas.DatetimeIndex.year
      • pandas.DatetimeIndex.month
      • pandas.DatetimeIndex.day
      • pandas.DatetimeIndex.hour
      • pandas.DatetimeIndex.minute
      • pandas.DatetimeIndex.second
      • pandas.DatetimeIndex.microsecond
      • pandas.DatetimeIndex.nanosecond
      • pandas.DatetimeIndex.date
      • pandas.DatetimeIndex.time
      • pandas.DatetimeIndex.dayofyear
      • pandas.DatetimeIndex.weekofyear
      • pandas.DatetimeIndex.week
      • pandas.DatetimeIndex.dayofweek
      • pandas.DatetimeIndex.weekday
      • pandas.DatetimeIndex.quarter
      • pandas.DatetimeIndex.tz
      • pandas.DatetimeIndex.freq
      • pandas.DatetimeIndex.freqstr
      • pandas.DatetimeIndex.is_month_start
      • pandas.DatetimeIndex.is_month_end
      • pandas.DatetimeIndex.is_quarter_start
      • pandas.DatetimeIndex.is_quarter_end
      • pandas.DatetimeIndex.is_year_start
      • pandas.DatetimeIndex.is_year_end
      • pandas.DatetimeIndex.is_leap_year
      • pandas.DatetimeIndex.inferred_freq
    • Selecting
    • Time-specific operations
    • Conversion
  • TimedeltaIndex
  • PeriodIndex
  • Scalars
  • Frequencies
  • Window
  • GroupBy
  • Resampling
  • Style
  • Plotting
  • General utility functions
  • Extensions
• Developer
• Internals
• Extending Pandas
• Release Notes