Matplotlib histogram showing wrong predictions

Question

I am making use of matplotlib to plot frequency of occurrences in a python list, but it is plotting for the values not present in the list

widthList:

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here we can clearly see that there's not even a single 7 but the histogram shows weird outputs:

code:

 width_frequency = Counter(','.join([str(i) for i in widthList])).most_common(6)
    print(width_frequency)
    width = [widths for widths, _ in width_frequency]
    freq = [counts for _, counts in width_frequency]
    #
    plt.bar(width, freq)
    plt.ylabel("Frequency")
    plt.xlabel("Width")
    plt.show()

Answer 1

You are using

width_frequency = Counter(','.join([str(i) for i in widthList])).most_common(6)

i.e you are converting the list to a , separated string and passing the whole string to counter which will just counter the number of occurrences of characters in your input:

Counter(','.join([str(i) for i in widthList]))

output:

Counter({',': 1789,
         '.': 1790,
         '0': 1792,
         '1': 1252,
         '2': 3492,
         '3': 1559,
         '4': 1904,
         '5': 403,
         '6': 1950,
         '7': 3636,
         '8': 587,
         '9': 3357})

Fix:

Pass the list of numbers

width_frequency = Counter(widthList).most_common(6)

Using histogram:

plt.hist(widthList, bins=10, rwidth = 0.8)
plt.ylabel("Frequency")
plt.xlabel("Width")
plt.show()

Output: