Python NLTK text dispersion plot has y vertical axis is in backwards / reversed order

Since last month NLTK dispersion_plot seems to have y (vertical) axis in reversed order on my machine. This is likely something about my versions of software (I am on a school virtual machine).

versions: nltk 3.8.1 matplotlib 3.7.2 Python 3.9.13

code:

from nltk.draw.dispersion import dispersion_plot
words=['aa','aa','aa','bbb','cccc','aa','bbb','aa','aa','aa','cccc','cccc','cccc','cccc']
targets=['aa','bbb', 'f', 'cccc']
dispersion_plot(words, targets)

expected: aaa is present at the beginning, and cccc at the end. actual: it's backwards! also notice f should be completely absent - instead bbb is absent.

conclusion: Y axis is backwards.

I found source code for nltk.draw.dispersion and it seems there is mistake.

def dispersion_plot(text, words, ignore_case=False, title="Lexical Dispersion Plot"):
    """
    Generate a lexical dispersion plot.

    :param text: The source text
    :type text: list(str) or iter(str)
    :param words: The target words
    :type words: list of str
    :param ignore_case: flag to set if case should be ignored when searching text
    :type ignore_case: bool
    :return: a matplotlib Axes object that may still be modified before plotting
    :rtype: Axes
    """

    try:
        import matplotlib.pyplot as plt
    except ImportError as e:
        raise ImportError(
            "The plot function requires matplotlib to be installed. "
            "See https://matplotlib.org/"
        ) from e

    word2y = {
        word.casefold() if ignore_case else word: y
        for y, word in enumerate(reversed(words))  # <--- HERE
    }
    xs, ys = [], []
    for x, token in enumerate(text):
        token = token.casefold() if ignore_case else token
        y = word2y.get(token)
        if y is not None:
            xs.append(x)
            ys.append(y)

    _, ax = plt.subplots()
    ax.plot(xs, ys, "|")
    ax.set_yticks(list(range(len(words))), words, color="C0")  # <--- HERE
    ax.set_ylim(-1, len(words))
    ax.set_title(title)
    ax.set_xlabel("Word Offset")
    return ax



if __name__ == "__main__":
    import matplotlib.pyplot as plt

    from nltk.corpus import gutenberg

    words = ["Elinor", "Marianne", "Edward", "Willoughby"]
    dispersion_plot(gutenberg.words("austen-sense.txt"), words)
    plt.show()

It calculates word2y using reversed(words)

for y, word in enumerate(reversed(words))

but later it uses ax.set_yticks() using words but it should use reversed(words)

ax.set_yticks(list(range(len(words))), words, color="C0")

(or it should calculate word2y without using reversed()).

I added # <--- HERE in code above to show these places.

It may need to report it as a issue.

At this moment you can get ax and use set_yticks with reversed to correct it.
In your code it will be targets instead of words

ax = dispersion_plot(words, targets)

ax.set_yticks(list(range(len(targets))), reversed(targets), color="C0")

---

Full working code

import matplotlib.pyplot as plt
from nltk.draw.dispersion import dispersion_plot

words = ['aa','aa','aa','bbb','cccc','aa','bbb','aa','aa','aa','cccc','cccc','cccc','cccc']
targets = ['aa','bbb', 'f', 'cccc']

ax = dispersion_plot(words, targets)
ax.set_yticks(list(range(len(targets))), reversed(targets), color="C0")

plt.show()

---

EDIT: I seems this problem was reported few months ago and they add reversed() in code on GitHub - and probably it will work in next version

dispersion plot not working properly · Issue #3133 · nltk/nltk

dispersion plot not working properly by Apros7 · Pull Request #3134 · nltk/nltk