Pandas: create new column in df with random integers from range

I have a pandas data frame with 50k rows. I'm trying to add a new column that is a randomly generated integer from 1 to 5.

If I want 50k random numbers I'd use:

    df1['randNumCol'] = random.sample(xrange(50000), len(df1))

but for this I'm not sure how to do it.

Side note in R, I'd do:

    sample(1:5, 50000, replace = TRUE)

Any suggestions?

One solution is to use numpy.random.randint:

    import numpy as np
    df1['randNumCol'] = np.random.randint(1, 6, df1.shape[0])

Or if the numbers are non-consecutive (albeit slower), you can use this:

    df1['randNumCol'] = np.random.choice([1, 9, 20], df1.shape[0])

In order to make the results reproducible you can set the seed with numpy.random.seed.

From: stackoverflow.com/q/30327417