Published: Apress, 2015
Description:
1 online resource (xxi, 337 pages).
Contents:
“…Arit hmetic Operators -- The M atrix Product -- Increm ent and Decrement Operators -- Universal Functions (ufunc) -- Aggregat e Functions -- Indexing, Slicing, and Iterating -- Indexing -- Slicing -- Iterating an Array -- Conditions an d Boolean Arrays -- Shape Manipulation -- Array Manipulation -- Joining Arrays -- Splitting Arrays -- General Concepts -- Copies or Views of Objects -- Vectorization -- Broadcasting -- Structured Arrays -- Reading and Writing Array Data on Files -- Loading and Saving Data in Binary Files -- Reading File with T abular Data -- Conclusions -- Chapter 4: The pandas Library-An Introduction -- pandas: The Python Data Analysis Library -- Installation -- Installation from Anaconda -- Installation from PyPI -- Installation on Linux -- Installation from Source -- A Module Repository for Windows -- Test Your pandas Installation -- Getting Started with pandas -- Introduction to pandas Data Structures -- The Series -- Declaring a Series -- Selecting the Internal Elements -- Assigning Values to the Elements --
Defining Series from NumPy Arrays and Other Series -- Filtering Values -- Operations and Mathematical Functions -- Evaluating Values -- NaN Values -- Series as Dictionaries -- Operations between Series -- The DataFrame --
Defining a DataFrame -- Selecting Elements -- Assigning Values -- Membership of a Value -- Deleting a Column -- Filtering -- DataFrame from Nested dict -- Transposition of a DataFrame -- The Index Objects -- Methods on Index -- Index with Duplicate Labels -- Other Functionalities on Indexes -- Reindexing -- Dropping -- Arithmetic and Data Alignment -- Operations between Data Structures -- Flexible Arithmetic Methods -- Operations between DataFrame and Series -- Function Application and Mapping -- Functions by Element -- Functions by Row or Column -- Statistics Functions -- Sorting and Ranking.…”
Call Number:
Loading…
Located:
Loading…
SpringerLink - Click here for access
eBook