ValueError Input contains NaN infinity or a value too large for dtype float32

Question

I got ValueError when predicting test data using a RandomForest model.

clf = RandomForestClassifier(n_estimators=10, max_depth=6, n_jobs=1, verbose=2)
clf.fit(X_fit, y_fit)

df_test.fillna(df_test.mean())
X_test = df_test.values  
y_pred = clf.predict(X_test)

error:

ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

Answer 1

Assuming X_test is a pandas dataframe, you can use DataFrame.fillna to replace the NaN values with the mean:

X_test.fillna(X_test.mean())