I have a list of lists as follows.
import random
list_of_list=[]
for i in range(1000):
sub_list=[random.randint(0, 10) for iter in range(10)]
list_of_list.append(sub_list)
I am able to plot any single sublist of the above list of lists as follows with a hist plot.
plt.hist(list_of_list[10])
Is there anyway I can plot this whole list of list in histogram or any other similar?
Passing a list of lists will treat every sublist as a separate group, differentiated by color.
plt.hist(list_of_list)
Example for 3 sublists:
If you want, you can also flatten the sublists into a single list so they are all treated as the same batch:
import itertools
merged = list(itertools.chain(*list_of_list))
plt.hist(merged)
Output:
You can plot it as
plt.hist([elt for lst in list_of_list for elt in lst])
You'll note that the height of the last bin is the double of the rest. Unlike similar functions, random.randint(0, 10) generates values from 0 to 10 inclusive. Due to rounding, both 9 and 10 end up in the same bin. You can create 11 bins with plt.hist(..., bins=11).
Also note that when working with large lists of numerical data, it is always much easier and faster to employ the numpy library. It's syntax may look weird at first, but you quickly get used to it. For example to create a 1d list from your 2d list, the command would be np.array(list_of_list).ravel().
