python split dataset into train and test code example
Example 1: sklearn split train test
import numpy as np
from sklearn.model_selection import train_test_split
X, y = np.arange(10).reshape((5, 2)), range(5)
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.33, random_state=42)
X_train
y_train
X_test
y_test
Example 2: pandas split dataframe to train and test
train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)
Example 3: pandas split train test
from sklearn.model_selection import train_test_split
train, test = train_test_split(df, test_size=0.2)
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:]