pandas split dataframe to train and test
train=df.sample(frac=0.8,random_state=200) #random state is a seed value
test=df.drop(train.index)pandas split dataframe to train and test
train=df.sample(frac=0.8,random_state=200) #random state is a seed value
test=df.drop(train.index)pandas split train test
from sklearn.model_selection import train_test_split
train, test = train_test_split(df, test_size=0.2)train test split sklearn
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.33, random_state=42)
print(X_train.shape, X_test.shape, y_train.shape, y_test.shape)Copyright © 2021 Codeinu
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