博客展示了使用Python进行神经网络数据处理的代码，包括读取CSV文件、划分训练集和测试集、数据重塑等操作。但在数据重塑时出现报错，提示无法将指定大小的数组重塑为目标形状。
from pandas import read_csv
from sklearn.model_selection import train_test_split
dataset = read_csv(‘data.csv’)
values = dataset.values.astype(‘float32’)
x = values[:, 0:5]
y = values[:, 0:5]
x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2)
x_train = x_train.reshape((x_train.shape[0], 5, x_train.shape[1]))
x_test = x_test.reshape((x_test.shape[0], 5, x_test.shape[1]))
print(x_train.shape, y_train.shape, x_test.shape, y_test.shape)
报错： x_train = x_train.reshape((x_train.shape[0], 5, x_train.shape[1]))
ValueError: cannot reshape array of size 4385 into shape (877,5,5)
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