如下所示：
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# -*- coding: utf-8 -*-
import os
import numpy as np
import pandas as pd
import h5py
import pylab
import matplotlib.pyplot as plt
trainpath = str('C:/Users/49691/Desktop/数据集/train/')
testpath = str('C:/Users/49691/Desktop/数据集/test/')
n_tr = len(os.listdir(trainpath))
print('num of training files: ', n_tr)
train_labels = pd.read_csv('C:/Users/49691/Desktop/数据集/sample_submission.csv')
train_labels.head()
from skimage import io, transform
x = np.empty(shape=(n_tr, 224, 224, 3))
y = np.empty(n_tr)
labels = train_labels.invasive.values
name = train_labels.name.values
permutation=np.random.permutation(name.shape[0])
print(permutation)
print(labels[permutation])
save_data = pd.DataFrame({'name':permutation,'invasive':labels[permutation]})
save_data.to_csv('C:/Users/49691/Desktop/数据集/b.csv')
for k,v in enumerate(np.random.permutation(n_tr)):
print(k,v)
path = '{0}{1}.jpg'.format(trainpath, v)
tr_im = io.imread(path)
x[k] = transform.resize(tr_im, output_shape=(224, 224, 3))
y[k] = float(labels[v-1])
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以上这篇python 随机打乱 图片和对应的标签方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/qq_21997625/article/details/79103048