Python

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

train=df.sample(frac=0.8,random_state=200)
test=df.drop(train.index)

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