Feature Request: .rand() to call random rows to compliment .head() and .tail()

[nickeubank]

.head() and .tail() are great tools for quick data interrogations, but when data is sorted they are often far from representative. It would be great if there was a simple command to pull an arbitrary number of random rows and display them for a more representative way to spotcheck data.

It would behave something like:

def rand_rows(df, num_rows = 5):
    from numpy import random as rm
    subset = rm.choice(df.index.values, size = num_rows)    
    return df.loc[subset]

a_data_frame = pd.DataFrame({'col1':range(10,20), 'col2':range(20,30)})
rand_rows(a_data_frame)
rand_rows(a_data_frame, 6)

[TomAugspurger]

We already have an issue for that: #2419
It's just a matter of someone implementing it. Give it a go if you want try! I don't think anyone has started.