Bar plot based on list of string values

Question

I'm doing some clustering which results in a list of strings like this:

['5-3-2', '5-3-2', '4-3-2-1', ...]

I want to plot a bar chart based on the frequency of the strings. Is there an easy way to do this? I think I could identify the unique elements in the list and count them, but maybe there is a more comfortable solution?

EDIT: Further information

    import matplotlib.pyplot as plt
    import numpy as np
    import math as math
    import Utils as ut
    from sklearn.cluster import KMeans
    from itertools import cycle

...
    result = np.array(result)
    keys, counts = np.unique(result, return_counts=True)
    print('Keys: ', keys)
    print('Counts: ', counts)

    print(result)

    plt.bar(keys,counts)
    plt.show

Output:

Keys:  ['3-1-4-2' '3-2-3-2' '3-3-2-2' '4-2-2-2' '4-2-3-1' '4-4-2']
Counts:  [ 21 154  23   1  48   4]

EDIT 2: plot shows in debug mode with breakpoint on plt.show, when I step over it disappears. So its not visible in run mode. Any suggestions?

Answer 1

np.unique can return the counts of the unique elements of a list.

keys, counts = np.unique(x, return_counts=True)

You may then plot those as bar plot.

import matplotlib.pyplot as plt
import numpy as np

x = ['5-3-2', '5-3-2', '4-3-2', "2-3-2", '4-3-2', '4-3-2', "1-2-4"]
keys, counts = np.unique(x, return_counts=True)

plt.bar(keys, counts)
plt.show()