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csgoman.py
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csgoman.py
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from os import path
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import os
import random
import re
import string
from wordcloud import WordCloud, STOPWORDS
imageHeight = 0
slurs = [
"faggot",
"retard",
"retarded",
"gay",
] # There's definitely some more you will need to add, depending on how bad the language is in the demos
swears = ["fuck", "shit", "damn", "fucking", "shitting"]
colorDict = {
"green": (0, 255, 0),
"blue": (0, 0, 255),
"yellow": (255, 255, 0),
"purple": (128, 0, 128),
"orange": (255, 165, 0),
}
russianWords = ["беше", "моука"]
def grey_color_func(
word, font_size, position, orientation, random_state=None, **kwargs
):
orange = (235, 164, 52)
grey = (163, 163, 163)
noiseScale = 16
noise = (
random.randint(-noiseScale, noiseScale),
random.randint(-noiseScale, noiseScale),
random.randint(-noiseScale, noiseScale),
)
color = None
pPosition = position[0] / imageHeight
probability = None
if pPosition > 0.33:
probability = 0.5 + 0.5 * (position[0] - imageHeight / 3.0) / (
2.0 * imageHeight / 3.0
)
else:
probability = 0.5 - 0.5 * (
((imageHeight / 3.0) - position[0]) / (imageHeight / 3.0)
)
colorChoice = random.choices(
[orange, grey], weights=[probability, 1.0 - probability], k=1
)[0]
color = (
max(0, min(255, noise[0] + colorChoice[0])),
max(0, min(255, noise[1] + colorChoice[1])),
max(0, min(255, noise[2] + colorChoice[2])),
)
brightness = 0.5
if word in slurs:
color = (
max(0, min(255, int(brightness * color[0]))),
max(0, min(255, int(brightness * color[1]))),
max(0, min(255, int(brightness * color[2]))),
)
color = (255, 0, 0)
elif word in swears:
color = (
max(0, min(255, int(brightness * color[0]))),
max(0, min(255, int(brightness * color[1]))),
max(0, min(255, int(brightness * color[2]))),
)
elif word in colorDict:
color = colorDict[word]
return f"rgb({color[0]}, {color[1]}, {color[2]})"
# get data directory (using getcwd() is needed to support running example in generated IPython notebook)
d = path.dirname(__file__) if "__file__" in locals() else os.getcwd()
# Read the whole text.
text = open(path.join(d, "words.txt")).read()
filteredText = ""
if True:
for i in text:
if not re.findall("[^a-zA-Z\d\s:]", i):
filteredText += i
print(filteredText)
# following code adapted for word cloud repo
# read the mask image
alice_mask = np.array(Image.open(path.join(d, "csgo_mask.jpg")))
imageHeight = alice_mask.shape[0]
# These are the words I've personally needed to block
stopwords = set(STOPWORDS)
stopwords.add("said")
stopwords.add("ready")
stopwords.add("unpause")
stopwords.add("need")
stopwords.add("gaben")
stopwords.add("an")
stopwords.add("a")
stopwords.add("of")
stopwords.add("that")
stopwords.add("but")
stopwords.add("can")
stopwords.add("on")
stopwords.add("for")
stopwords.add("to")
stopwords.add("switch")
stopwords.add("stay")
stopwords.add("pause")
stopwords.add("krajliwtf")
stopwords.add("pitou")
stopwords.add("zycsell")
stopwords.add("co")
stopwords.add("apet")
for l in string.ascii_lowercase:
stopwords.add(l)
wc = WordCloud(
background_color="white",
max_words=200,
mask=alice_mask,
stopwords=stopwords,
contour_width=0,
margin=5,
contour_color="navy",
relative_scaling=0.46,
collocations=False,
prefer_horizontal=0.66,
)
# generate word cloud
wc.generate(filteredText)
wc.recolor(color_func=grey_color_func, random_state=3)
# store to file
wc.to_file(path.join(d, "word_cloud.png"))
# What are CS players saying? Here's a word cloud of the most common words in game chat.