ValueError: Input contains NaN, infinity or a value too large for dtype('float64'). While fitting in model

Question

import pandas as pd
df=pd.read_csv('titanic.csv')
from sklearn.linear_model import LogisticRegression
df['male']=df['Sex']=='male'
X= df[['Pclass','male','Age','SibSp','Parch','Fare']].values
y= df['Survived'].values
model=LogisticRegression()
model.fit(X,y)

ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

Please Help me to remove this error

Answer 1

Don't know if it's the same, but in my case that error was due to big numbers, in particular I found those with scientific notation, such as 3.63E+08, 1.25E+09... The solution is to replace those numbers with something smaller: you can either simply replace them with x / 1000 or, the best solution, use a function to scale or normalise the data. After that, you can train your model