Wordcloud

create a wordcloud in python using the words in the list filtered_words


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To create a wordcloud in Python using the words in the list filtered_words, you can use the wordcloud and matplotlib libraries. Here's an example code snippet that demonstrates how to do this:

python
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from wordcloud import WordCloud
import matplotlib.pyplot as plt

# List of words to be included in the wordcloud
filtered_words = ['example', 'wordcloud', 'python', 'list']

# Convert the list of words to a string
wordcloud_text = ' '.join(filtered_words)

# Generate the wordcloud
wordcloud = WordCloud(width = 800, height = 800,
                background_color ='white',
                stopwords = set(),
                min_font_size = 10).generate(wordcloud_text)

# Display the wordcloud using matplotlib
plt.figure(figsize = (8, 8), facecolor = None)
plt.imshow(wordcloud)
plt.axis("off")
plt.tight_layout(pad = 0)

plt.show()
In this code, we first import the necessary libraries. We then define our list of filtered words, and convert it to a string using the join() method. We then use the WordCloud() function to generate a wordcloud, passing in the necessary parameters such as the width and height of the wordcloud, the background color, and the minimum font size. Finally, we use matplotlib to display the wordcloud. The resulting wordcloud will display the most frequent words in the filtered_words list in a visually appealing way.


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Can I feed in weighted words instead?


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Yes, you can feed in weighted words instead of a simple list of words. In fact, the WordCloud() function has a generate_from_frequencies() method that allows you to generate a wordcloud from a dictionary where the keys are words and the values are their corresponding weights. Here's an example code snippet that demonstrates how to do this:

python
Copy code
from wordcloud import WordCloud
import matplotlib.pyplot as plt

# Dictionary of weighted words
weighted_words = {'example': 5, 'wordcloud': 10, 'python': 7, 'list': 3}

# Generate the wordcloud
wordcloud = WordCloud(width = 800, height = 800,
                background_color ='white',
                stopwords = set(),
                min_font_size = 10).generate_from_frequencies(weighted_words)

# Display the wordcloud using matplotlib
plt.figure(figsize = (8, 8), facecolor = None)
plt.imshow(wordcloud)
plt.axis("off")
plt.tight_layout(pad = 0)

plt.show()
In this code, we define a dictionary weighted_words where each key-value pair represents a word and its weight. We then use the generate_from_frequencies() method of the WordCloud() function to generate a wordcloud from the weighted words. The resulting wordcloud will display the words with higher weights in larger font sizes, and those with lower weights in smaller font sizes.