Python sklearn输入形状不良

Question

i've already check the other solutions for this problem and could not find an answer. I was working on sklearn library with Python, but i have an error that:

ValueError: bad input shape (1460, 80)

Here is my code:

import pandas as pd
from sklearn.preprocessing import LabelEncoder

data = pd.read_csv("train.csv")
x,y = data.drop(['SalePrice'], axis=1), data['SalePrice']
le = LabelEncoder()
le.fit(x)

How can i solve it? Sorry im kinda newbie on this, thanks for your help

EDIT1

Here is the full code of error:

> Traceback (most recent call last):   File "houseai.py", line 11, in
> <module>
>     le.fit(x)   File "C:\Users\UTKU\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\preprocessing\label.py",
> line 219, in fit
>     y = column_or_1d(y, warn=True)   File "C:\Users\UTKU\AppData\Local\Programs\Python\Python37\lib\site-packages\sklearn\utils\validation.py",
> line 760, in column_or_1d
>     raise ValueError("bad input shape {0}".format(shape)) ValueError: bad input shape (1460, 80)

Answer 1

It might be possible you have some null values in the data['SalePrice'] or in the floating data, check the null values using

bool_series = pd.notnull(data['SalePrice']) 
# displayed data only with team = NaN 
data[bool_series] 

Check the shape of x and y

 x.shape
 y.shape

if you still have the same issue then update then sample data