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Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python /
Table of Contents: “…Pandas foundations -- Dissecting the anatomy of a DataFrame -- Accessing the main DataFrame components -- Understanding data types -- Selecting a single column of data as a series -- Calling series methods -- Working with operators on a series -- Chaining series methods together -- Making the index meaningful -- Renaming row and column names -- Creating and deleting columns -- Essential Chapter 2: DataFrame operations -- Selecting multiple DataFrame columns -- Selecting columns with methods -- Ordering column names sensibly -- Operating on the entire DataFrame -- Chaining DataFrame methds together -- Working with operators on a DataFrame -- Comparing missing values -- Transposing the direction of a DataFrame operation -- Determining college campus diversity -- Chapter 3: Beginning data analysis -- Developing a data analysis routine.…”
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Online Book -
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Pandas cookbook : recipes for scientific computing, time series analysis and data visualization using Python /
Table of Contents: “…Pandas foundations -- Dissecting the anatomy of a DataFrame -- Accessing the main DataFrame components -- Understanding data types -- Selecting a single column of data as a series -- Calling series methods -- Working with operators on a series -- Chaining series methods together -- Making the index meaningful -- Renaming row and column names -- Creating and deleting columns -- Essential Chapter 2: DataFrame operations -- Selecting multiple DataFrame columns -- Selecting columns with methods -- Ordering column names sensibly -- Operating on the entire DataFrame -- Chaining DataFrame methds together -- Working with operators on a DataFrame -- Comparing missing values -- Transposing the direction of a DataFrame operation -- Determining college campus diversity -- Chapter 3: Beginning data analysis -- Developing a data analysis routine.…”
Get full text
Online Book -
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