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
 - MultiIndex
 - DatetimeIndex
 - TimedeltaIndex
 - Window
 - GroupBy
- Indexing, iteration
 - Function application
 - Computations / Descriptive Stats
- pandas.core.groupby.GroupBy.count
 - pandas.core.groupby.GroupBy.cumcount
 - pandas.core.groupby.GroupBy.first
 - pandas.core.groupby.GroupBy.head
 - pandas.core.groupby.GroupBy.last
 - pandas.core.groupby.GroupBy.max
 - pandas.core.groupby.GroupBy.mean
 - pandas.core.groupby.GroupBy.median
 - pandas.core.groupby.GroupBy.min
 - pandas.core.groupby.GroupBy.nth
 - pandas.core.groupby.GroupBy.ohlc
 - pandas.core.groupby.GroupBy.prod
 - pandas.core.groupby.GroupBy.size
 - pandas.core.groupby.GroupBy.sem
 - pandas.core.groupby.GroupBy.std
 - pandas.core.groupby.GroupBy.sum
 - pandas.core.groupby.GroupBy.var
 - pandas.core.groupby.GroupBy.tail
 - pandas.core.groupby.DataFrameGroupBy.agg
 - pandas.core.groupby.DataFrameGroupBy.all
 - pandas.core.groupby.DataFrameGroupBy.any
 - pandas.core.groupby.DataFrameGroupBy.bfill
 - pandas.core.groupby.DataFrameGroupBy.corr
 - pandas.core.groupby.DataFrameGroupBy.count
 - pandas.core.groupby.DataFrameGroupBy.cov
 - pandas.core.groupby.DataFrameGroupBy.cummax
 - pandas.core.groupby.DataFrameGroupBy.cummin
 - pandas.core.groupby.DataFrameGroupBy.cumprod
 - pandas.core.groupby.DataFrameGroupBy.cumsum
 - pandas.core.groupby.DataFrameGroupBy.describe
 - pandas.core.groupby.DataFrameGroupBy.diff
 - pandas.core.groupby.DataFrameGroupBy.ffill
 - pandas.core.groupby.DataFrameGroupBy.fillna
 - pandas.core.groupby.DataFrameGroupBy.hist
 - pandas.core.groupby.DataFrameGroupBy.idxmax
 - pandas.core.groupby.DataFrameGroupBy.idxmin
 - pandas.core.groupby.DataFrameGroupBy.mad
 - pandas.core.groupby.DataFrameGroupBy.pct_change
 - pandas.core.groupby.DataFrameGroupBy.plot
 - pandas.core.groupby.DataFrameGroupBy.quantile
 - pandas.core.groupby.DataFrameGroupBy.rank
 - pandas.core.groupby.DataFrameGroupBy.resample
 - pandas.core.groupby.DataFrameGroupBy.shift
 - pandas.core.groupby.DataFrameGroupBy.size
 - pandas.core.groupby.DataFrameGroupBy.skew
 - pandas.core.groupby.DataFrameGroupBy.take
 - pandas.core.groupby.DataFrameGroupBy.tshift
 - pandas.core.groupby.SeriesGroupBy.nlargest
 - pandas.core.groupby.SeriesGroupBy.nsmallest
 - pandas.core.groupby.SeriesGroupBy.nunique
 - pandas.core.groupby.SeriesGroupBy.unique
 - pandas.core.groupby.SeriesGroupBy.value_counts
 - pandas.core.groupby.DataFrameGroupBy.corrwith
 - pandas.core.groupby.DataFrameGroupBy.boxplot
 
 
 - Resampling
 - Style
 - General utility functions
 
 - Internals
 - Release Notes
 
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