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pandas split dataframe to train and test Code Example
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
Source: stackoverflow.com
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)
Source: stackoverflow.com
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:]



Python

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Sub Category:
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