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Python机器学习手册:从数据预处理到深度学习
book

Python机器学习手册:从数据预处理到深度学习

by Chris Albon
July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Publishing House of Electronics Industry
Content preview from Python机器学习手册:从数据预处理到深度学习
1.4
 选择元素
5
1.4
 选择元素
问题描述
在向量或矩阵中选择一个或多个元素。
解决方案
使用
NumPy
的数组来解决这个问题就很简单
#
加载库
import numpy as np
#
创建一个行向量
vector = np.array([1, 2, 3, 4, 5, 6])
#
创建矩阵
matrix = np.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
#
选择向量的第三个元素
vector[2]
3
#
选择第二行第二列
matrix[1,1]
5
讨论
如同
Python
中的大多数事物一样,
NumPy
数组的索引编号是从
0
开始的,这意味着第
一个元素的下标是
0
而不是
1
。此外,
NumPy
还提供了很多方式来选取元素或数组中的
一组元素(即索引和切片):
#
选取一个向量的所有元素
vector[:]
array([1, 2, 3, 4, 5, 6])
#
选取从
0
开始一直到第
3
个(包括第
3
个)元素
vector[:3]
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Publisher Resources

ISBN: 9787121369629