有人可以帮我,我一直在尝试运行下面的脚本
X_train = np.reshape(X_train, newshape = (X_train.shape[0], X_train.shape[1], 1))
但仅会出现这样的错误
AttributeError Traceback (most recent call last)<ipython-input-48-9880c2146f81> in <module>()----> 1 X_train = np.reshape(X_train, newshape = (X_train.shape[0], X_train.shape[1], 1))
AttributeError: 'list' object has no attribute 'shape'
这是完整的脚本
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
downloads = pd.read_csv('Datatraining.csv')
training_set = downloads.iloc[:, 1:2].values
from sklearn.preprocessing import MinMaxScaler
sc = MinMaxScaler(feature_range = (0, 1))
training_set_scaled = sc.fit_transform(training_set)
X_train = []
y_train = []
for i in range(72, len(training_set_scaled)):
X_train.append(training_set_scaled[i-60: i, 0])
y_train.append(training_set_scaled[i, 0])
X_train, y_train = np.array(X_train), np.array(y_train)
X_train = np.reshape(X_train, newshape = (X_train.shape[0], X_train.shape[1], 1))
您的X_train
不是np数组,而是list
。您首先必须将列表转换为numpy数组
X_train = np.asarray(X_train)