Cargando…
Hands-On Data Analysis with NumPy and Pandas : Implement Python Packages from Data Manipulation to Processing /
Chapter 3: Operations on NumPy Arrays; Selecting elements explicitly; Slicing arrays with colons; Advanced indexing; Expanding arrays; Arithmetic and linear algebra with arrays; Arithmetic with two equal-shaped arrays; Broadcasting; Linear algebra; Employing array methods and functions; Array method...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing Ltd,
2018.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Setting Up a Python Data Analysis Environment; What is Anaconda?; Installing Anaconda; Exploring Jupyter Notebooks; Exploring alternatives to Jupyter; Spyder; Rodeo; ptpython; Package management with Conda; What is Conda?; Conda environment management; Managing Python; Package management; Setting up a database; Installing MySQL; MySQL connectors; Creating a database; Summary; Chapter 2: Diving into NumPY; NumPy arrays; Special numeric values; Creating NumPy arrays; Creating ndarray.
- Slicing a DataFrameSummary; Chapter 5: Arithmetic, Function Application, and Mapping with pandas; Arithmetic; Arithmetic with DataFrames; Vectorization with DataFrames; DataFrame function application; Handling missing data in a pandas DataFrame; Deleting missing information; Filling missing information; Summary; Chapter 6: Managing, Indexing, and Plotting; Index sorting; Sorting by values; Hierarchical indexing; Slicing a series with a hierarchical index; Plotting with pandas; Plotting methods; Summary; Other Books You May Enjoy; Index.