split pandas dataframe into train and test code example

Example 1: train test split pandas

from sklearn.model_selection import train_test_split

train, test = train_test_split(df, test_size=0.2)

Example 2: 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)

Example 3: pandas split train test

from sklearn.model_selection import train_test_split


y = df.pop('output')
X = df

X_train,X_test,y_train,y_test = train_test_split(X.index,y,test_size=0.2)
X.iloc[X_train] # return dataframe train

Example 4: train-test split code in pandas

df_permutated = df.sample(frac=1)

train_size = 0.8
train_end = int(len(df_permutated)*train_size)

df_train = df_permutated[:train_end]
df_test = df_permutated[train_end:]