NumPy（十六）：数据的保存、读取【numpy读取/写入数组数据、文本数据】

逃离我推掉我的手 2023-09-29 08:41 24阅读 0赞

## 一、存储/读取数组数据 .npy文件 ##

### 1、存储数组数据 .npy文件 ###

### 2、读取数组数据 .npy文件 ###

import numpy as np
    import os
    
    # 存储数组数据 .npy文件
    
    os.chdir(r'C:\Users\Administrator\Desktop')
    
    ar = np.random.rand(5, 5)
    print('ar = ', ar)
    np.save('arraydata.npy', ar)  # 也可以直接 np.save('rC:\Users\Administrator\Desktop\arraydata.npy', ar)
    
    # 读取数组数据 .npy文件
    
    ar_load =np.load('arraydata.npy')
    print('\nar_load = ', ar_load) # 也可以直接 np.load('rC:\Users\Administrator\Desktop\arraydata.npy')

## 二、存储/读取文本文件 ##

import numpy as np
    
    # 存储/读取文本文件
    ar = np.random.rand(5, 5)
    np.savetxt(fname='array.txt', X=ar, delimiter=',')
    
    ar_loadtxt = np.loadtxt('array.txt', delimiter=',')
    print('ar_loadtxt = ', ar_loadtxt)

![在这里插入图片描述][watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBA5b-N6ICF44Gu5Lmx5aSq6YOO_size_20_color_FFFFFF_t_70_g_se_x_16]

打印结果：

ar_loadtxt =  [[0.30636402 0.79706978 0.35384595 0.99617774 0.80065367]
     [0.86653252 0.24348444 0.26170859 0.74285336 0.35032174]
     [0.59036206 0.13380093 0.20759285 0.99869546 0.43229919]
     [0.3996552  0.75444072 0.33352764 0.39826714 0.54437876]
     [0.30820035 0.98174216 0.80377153 0.84965811 0.16784581]]
    
    Process finished with exit code 0

import numpy as np
    
    # 存储/读取文本文件
    ar = np.random.rand(5, 5)
    np.savetxt(fname='array02.txt', X=ar, fmt='%.18e', delimiter=';', newline='\n', header='array02-header', footer='array02-footer', comments='# ')  # 存储为文本txt文件

![在这里插入图片描述][watermark_type_d3F5LXplbmhlaQ_shadow_50_text_Q1NETiBA5b-N6ICF44Gu5Lmx5aSq6YOO_size_20_color_FFFFFF_t_70_g_se_x_16 1]

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