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manpreet Best Answer 3 years ago

I have a fairly large dataset in the form of a dataframe and I was wondering how I would be able to split the dataframe into two random samples (80% and 20%) for training and testing.

Thanks!

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manpreet 3 years ago

I would just use numpy's randn:

In [11]: df = pd.DataFrame(np.random.randn(100, 2))

In [12]: msk = np.random.rand(len(df)) < 0.8

In [13]: train = df[msk]

In [14]: test = df[~msk]

And just to see this has worked:

In [15]: len(test)
Out[15]: 21

In [16]: len(train)
Out[16]: 79

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How do I create test and train samples from one dataframe with pandas?

Manpreet Singh

Answers (2)

manpreet Best Answer 3 years ago

manpreet 3 years ago

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