March 2022
Intermediate to advanced
522 pages
13h 52m
Chinese
Content preview from Python语言及其应用（第2版）
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418
｜
第
22
章
22.4 SciPy
SciPy
是建立在
NumPy
基础之上的库，拥有更多的数学函数和统计函数。
SciPy
发行版包
括
NumPy
、
SciPy
、
Pandas
（本章随后会讲到）以及一些其他的库。
SciPy
包含许多模块，可用于实现以下任务。
•
优化
•
统计
•
插值
•
线性回归
•
积分
•
图像处理
•
信号处理
如果你使用过其他的科学计算工具，就会发现
Python
、
NumPy
和
SciPy
覆
盖了商业软件
MATLAB
或开源软件
R
的部分功能。
22.5 SciKit
与在现有软件基础上进行构建的模式相同，
SciKit
是一组建立在
SciPy
之上的科学计算软
件包。
SciKit-Le
arn
是一个优秀的机器学习包，支持建模、分类、聚类以及多种机器学习
算法。
22.6 Pandas
最近，
数据科学
这个词变得尽人皆知。我见过的一些定义包括“在
Mac
上完成的统计”或
者“在旧金山完成的统计”。无论如何定义，本章中讨论过的工具（
NumPy
、
SciPy
以
及
本节的主题
Pandas
）都
是日渐流行的数据科学工具包的组成部分。（
Mac
和旧金山是可
选的。）
Pandas
是一个用于交互式数据分析的新包
，尤其适用于现实世界的数据操作，结合了
NumPy
的矩阵数学与电子表格和关系数据库的处理能力。
W
es McKinney
所著的
Python for
Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
介绍了使用
NumPy
、
IPython
和
Pandas
进行数据整理。 ...
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