python 随机打乱图片和对应的标签方法_Python

如下所示：

									# -*- 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])