becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited for many different kinds blocks) (GH #158) 1.5 v.0.6.0 (November 25, 2011) 1.5.1 New Features • Added melt function to pandas.core.reshape • Added level parameter to group by level in Series and DataFrame descriptive statistics Development Team is a collection of developers focused on the improvement of Python’s data libraries. The core team that coordinates development can be found on Github. If you’re interested in contributing, please

becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited for many different kinds blocks) (GH #158) 1.4 v.0.6.0 (November 25, 2011) 1.4.1 New Features • Added melt function to pandas.core.reshape • Added level parameter to group by level in Series and DataFrame descriptive statistics Development Team is a collection of developers focused on the improvement of Python’s data libraries. The core team that coordinates development can be found on Github. If you’re interested in contributing, please

becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited for many different kinds blocks) (GH #158) 1.6 v.0.6.0 (November 25, 2011) 1.6.1 New Features • Added melt function to pandas.core.reshape • Added level parameter to group by level in Series and DataFrame descriptive statistics Development Team is a collection of developers focused on the improvement of Python’s data libraries. The core team that coordinates development can be found on Github. If you’re interested in contributing, please

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross- platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross- platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross-platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross- platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross- platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about what’s in the library. CONTENTS 1 pandas: powerful Python multiple lambdas You can now provide multiple lambda functions to a list-like aggregation in pandas.core.groupby.GroupBy. agg (GH26430). In [6]: animals.groupby('kind').height.agg([ ...: lambda x: x.iloc[0] a more clear error message when merge keys are categoricals that are not equal (GH26136) • pandas.core.window.Rolling() supports exponential (or Poisson) window type (GH21303) • Error message for missing

high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Getting started New to pandas? Check out the getting started guides. They contain an introduction Learn the pandas-equivalent operations compared to software you already know: The R programming language provides the data.frame data structure and multiple packages, such as tidyverse use and extend data the Anaconda distribution is built upon. It is a package manager that is both cross- platform and language agnostic (it can play a similar role to a pip and virtualenv combination). Miniconda allows you