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June 16, 2021 16:00
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Create word clouds with shape
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from wordcloud import WordCloud | |
import matplotlib.pyplot as plt | |
import numpy as np | |
from PIL import Image | |
import requests | |
import csv | |
file_ob = open(r"feedback.csv") | |
# read the feedback file | |
reader_ob = csv.reader(file_ob) | |
reader_contents = list(reader_ob) | |
words = "" | |
for row in reader_contents : | |
for feedback in row : | |
words = words + " " + feedback | |
# get the image from the internet | |
mask = np.array(Image.open(requests.get('https://image.shutterstock.com/image-vector/heart-vector-icon-600w-651132286.jpg', stream=True).raw)) | |
# build the WordCloud image | |
wordcloud = WordCloud(width = 800, height = 400,mask=mask, background_color ='white', max_words = 20, random_state = 1).generate(words) | |
# save the image | |
wordcloud.to_file("wordcloud.png") | |
# show the WordCloud image | |
plt.figure() | |
plt.imshow(wordcloud) | |
plt.axis("off") | |
plt.margins(x=0, y=0) | |
plt.tight_layout(pad = 0) | |
plt.show() |
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