. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 21 API Reference 199 21.1 General functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 838644 -0.069381 -0.316580 c 2.158444 0.007136 1.887923 d NaN 0.981048 1.548623 Here is a quick reference summary table of common functions. Each also takes an optional level parameter which applies only

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 21 API Reference 199 21.1 General functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 871307 0.563010 -0.484952 c -2.379723 0.979584 -1.171858 d NaN 2.119879 -0.948954 Here is a quick reference summary table of common functions. Each also takes an optional level parameter which applies only

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 21 API Reference 211 21.1 General functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 936919 2.304932 1.073489 c -1.019825 1.378081 1.407751 d NaN 1.608140 0.890101 Here is a quick reference summary table of common functions. Each also takes an optional level parameter which applies only

example data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1017 3 API reference 1019 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can

example data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1018 3 API reference 1019 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can

example data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 975 3 API reference 977 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can

example data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1026 3 API reference 1027 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can

example data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1026 3 API reference 1027 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can

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 core.frame.DataFrame would raise error (GH26390) • Allow keyword arguments for callable local reference used in the DataFrame.query() string (GH26426) • Fixed a KeyError when indexing a MultiIndex` level 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). 35 pandas: powerful

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 993 i 3 API reference 1033 3.1 Input/output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 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 information and explanation. To the user guide API reference The reference guide contains a detailed description of the pandas API. The reference describes how the methods work and which parameters can