Where does the array printout come from?

[Mark17]

I like to understand what lines are generating output. Here's some code:

nums={}
for a in range(25):
    randnum = np.random.randint(0,100)
    print(str(a+1)+': '+str(randnum), end='   ')
    nums[randnum] = nums.get(randnum,0) + 1
#print(nums)
plt.hist(nums, bins=50)

In the [Jupyter Notebook] output, I get the print line from the for loop. I also get a histogram down below. In between, though, I get two 25-element one-dimensional arrays. The first has counts (by bin) and the second has cumulative percentage (I think) by bin. What causes these two arrays to be printed?

[deanhystad]

Something like this?

Output:
(array([2., 1., 0., 0., 0., 1., 0., 1., 1., 0., 0., 2., 0., 0., 0., 1., 0.,
       1., 0., 0., 1., 0., 0., 1., 0., 0., 0., 0., 2., 0., 0., 0., 1., 0.,
       0., 0., 1., 0., 1., 2., 1., 1., 0., 0., 0., 0., 1., 0., 0., 1.]), array([ 0.  ,  1.96,  3.92,  5.88,  7.84,  9.8 , 11.76, 13.72, 15.68,
       17.64, 19.6 , 21.56, 23.52, 25.48, 27.44, 29.4 , 31.36, 33.32,
       35.28, 37.24, 39.2 , 41.16, 43.12, 45.08, 47.04, 49.  , 50.96,
       52.92, 54.88, 56.84, 58.8 , 60.76, 62.72, 64.68, 66.64, 68.6 ,
       70.56, 72.52, 74.48, 76.44, 78.4 , 80.36, 82.32, 84.28, 86.24,
       88.2 , 90.16, 92.12, 94.08, 96.04, 98.  ]), <BarContainer object of 50 artists>)

That is the return value of matplotlib.pyplot.hist(). I haven't used it, but I think Jupiter notebook typically echoes return values and you disable this by ending the line with a semicolon.

[Mark17]

Something like this?

Output:
(array([2., 1., 0., 0., 0., 1., 0., 1., 1., 0., 0., 2., 0., 0., 0., 1., 0.,
       1., 0., 0., 1., 0., 0., 1., 0., 0., 0., 0., 2., 0., 0., 0., 1., 0.,
       0., 0., 1., 0., 1., 2., 1., 1., 0., 0., 0., 0., 1., 0., 0., 1.]), array([ 0.  ,  1.96,  3.92,  5.88,  7.84,  9.8 , 11.76, 13.72, 15.68,
       17.64, 19.6 , 21.56, 23.52, 25.48, 27.44, 29.4 , 31.36, 33.32,
       35.28, 37.24, 39.2 , 41.16, 43.12, 45.08, 47.04, 49.  , 50.96,
       52.92, 54.88, 56.84, 58.8 , 60.76, 62.72, 64.68, 66.64, 68.6 ,
       70.56, 72.52, 74.48, 76.44, 78.4 , 80.36, 82.32, 84.28, 86.24,
       88.2 , 90.16, 92.12, 94.08, 96.04, 98.  ]), <BarContainer object of 50 artists>)

That is the return value of matplotlib.pyplot.hist(). I haven't used it, but I think Jupiter notebook typically echoes return values and you disable this by ending the line with a semicolon.

That gets rid of it. Thanks!