Randomly shuffle data and labels from different files in the same order
Generate a random order of elements with np.random.permutation and simply index into the arrays data and classes with those -
idx = np.random.permutation(len(data))x,y = data[idx], classes[idx]
Alternatively you can concatenate the data and labels together, shuffle them and then separate them into input x and label y as shown below:
def read_data(filename, delimiter, datatype): # Read data from a file return = np.genfromtxt(filename, delimiter, dtype= datatype)classes = read_data('labels.csv', dtype= np.str , delimiter='\t')data = read_data('data.csv', delimiter=',')dataset = np.r_['1', data, classes] # Concatenate along second axisdef dataset_shuffle(dataset): # Returns separated shuffled data and classes from dataset np.random.shuffle(dataset) n, m = dataset.shape x = data[:, 0:m-1] y = data[:, m-1] return x, y # Return shuffled x and y with preserved order