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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
Indexing, iteration
pandas.core.groupby.GroupBy.__iter__
pandas.core.groupby.GroupBy.groups
pandas.core.groupby.GroupBy.indices
pandas.core.groupby.GroupBy.get_group
pandas.Grouper
Function application
Computations / Descriptive Stats
Resampling
Style
Plotting
General utility functions
Extensions
Developer
Internals
Extending Pandas
Release Notes
Search
Enter search terms or a module, class or function name.
pandas.core.groupby.GroupBy.__iter__
¶
GroupBy.
__iter__
(
)
[source]
¶
Groupby iterator
Returns:
Generator yielding sequence of (name, subsetted object)
for each group
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