我如何 go 关于在 python 中拟合数据集？ - lr.fit(x_train, y_train) 给我错误

Question

Here is my code:

blood_df=pd.read_csv('blood_donation.csv')
x,y=blood_df.iloc[:,:-1], blood_df['Donated2020']
blood_df['Gender'].value_counts()

x_dummies = pd.get_dummies(x)
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x_dummies,y,random_state=0)

Then I start getting errors when I try to use the lr.fit below.

from sklearn.linear_model import LinearRegression
lr = LinearRegression()
lr.fit(x_train, y_train)

Here's a screengrab of the error because it's so hefty: error screengrab

Answer 1

Following Quang Hoang's advice in the comments, adding this worked:

#imputing missing values with their mean
blood_df=blood_df.fillna(blood_df.mean())