ValueError:x和y的大小必须相同 [英] ValueError: x and y must be the same size

问题描述

import numpy as np
import pandas as pd
import matplotlib.pyplot as pt

data1 = pd.read_csv('stage1_labels.csv')

X = data1.iloc[:, :-1].values
y = data1.iloc[:, 1].values

from sklearn.preprocessing import LabelEncoder, OneHotEncoder
label_X = LabelEncoder()
X[:,0] = label_X.fit_transform(X[:,0])
encoder = OneHotEncoder(categorical_features = [0])
X = encoder.fit_transform(X).toarray()

from sklearn.cross_validation import train_test_split
X_train, X_test, y_train,y_test = train_test_split(X, y, test_size = 0.4, random_state = 0)

#fitting Simple Regression to training set

from sklearn.linear_model import LinearRegression
regressor = LinearRegression()
regressor.fit(X_train, y_train)

#predecting the test set results
y_pred = regressor.predict(X_test)

#Visualization of the training set results
pt.scatter(X_train, y_train, color = 'red')
pt.plot(X_train, regressor.predict(X_train), color = 'green')
pt.title('salary vs yearExp (Training set)')
pt.xlabel('years of experience')
pt.ylabel('salary')
pt.show()

在执行上述代码时，我需要帮助来了解错误.错误如下:

I need a help understanding the error in while executing the above code. Below is the error:

"raise ValueError(" x和y的大小必须相同)"

"raise ValueError("x and y must be the same size")"

我有1398行2列的.csv文件.我已将40％作为y_test设置，因为在上面的代码中可见.

I have .csv file with 1398 rows and 2 column. I have taken 40% as y_test set, as it is visible in the above code.

推荐答案

打印X_train形状.你看到了什么?我敢打赌X_train是2d(单列矩阵)，而y_train 1d(矢量).反过来，您得到不同的大小.

Print X_train shape. What do you see? I'd bet X_train is 2d (matrix with a single column), while y_train 1d (vector). In turn you get different sizes.

我认为使用X_train[:,0]进行绘制(这是错误的来源)应该可以解决问题

I think using X_train[:,0] for plotting (which is from where the error originates) should solve the problem

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