Matplotlib scatter or bubble plotting by value duplication-CodePudding

I have a set of sequences of numbers that are kept in a 2D list. Each element in the list is a sublist of varying lengths, say numbers in the range 1-10. Like this:

Lst = [[1,3,4,4,4,5],[2,7,2,3],[6,5,4,2,4],[2,4,5,7,5,4,2],[4,9,4,1,4,5,4]…]

Is there a way to draw plot these datas in scatter or bubble plotting with value duplication by use matplotlib? Each element in the list occupies a position on the X-axis, and all the values in the element are distributed in the corresponding Y-axis position, and the more times the value is repeated, the larger the size or dark color of the drawn point.

I already know how to use matplotlib plot scatter plotting, but I don't know how to plot a 2D list item on one Y-axis one by one.

Thank you.

CodePudding user response：

You can just plot each sublist in a for loop:

import matplotlib.pyplot as plt
from collections import Counter
import numpy as np
Lst = [[1,3,4,4,4,5],[2,7,2,3],[6,5,4,2,4],[2,4,5,7,5,4,2],[4,9,4,1,4,5,4]]
plt.figure()
for i, j in enumerate(Lst):
    occurences, sizes = list(zip(*list(Counter(j).items())))
    plt.scatter(i*np.ones(len(occurences)) 1, occurences, s=np.array(sizes)*50)

Output:

Edit: Fulfilling request for points to also become darker. Using the answer from here: