当我尝试计算熊猫回归时,我犯了一个错误。这是代码:
import pandas as pd
import matplotlib.pyplot as plt
df=pd.DataFrame({"haftalar":[1,2,3,4,5,6,7],
"degerler":[6.11,5.66,5.30,5.32,5.25,5.37,5.28]})
haftalar=df[['haftalar']]
degerler=df[['degerler']]
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(
haftalar, degerler, test_size=0.57, random_state=0)
from sklearn.linear_model import LinearRegression
lr=LinearRegression()
lr.fit(x_train,y_train)
tahmin=lr.predict(8)
print(tahmin)
当我尝试运行代码时,出现此错误:
"if it contains a single sample.".format(array))
ValueError: Expected 2D array, got scalar array instead:
array=8.
Reshape your data either using array.reshape(-1, 1)
if your data has a single feature or array.reshape(1, -1)
if it contains a single sample.
我将在3个小时内对该主题进行一次考试。你能帮我吗?
答案 0 :(得分:0)
尝试:
tahmin=lr.predict([[8]])
通常,您可能会像这样在numpy
数组中存储数据:
import numpy as np
x_test = np.array([8])
现在错误消息告诉您该怎么做:
tahmin=lr.predict(x_test.reshape(-1, 1))