content: dropbox-files-word-cloud
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| author | category | content | published_date | slug | summary | title | url |
|---|---|---|---|---|---|---|---|
| ryan | technology | In one of my [previous posts](https://www.ryancheley.com/blog/2016/11/22/twitter-word-cloud) I walked through how I generated a wordcloud based on my most recent 20 tweets. I though it would be _neat_ to do this for my [Dropbox](https://www.dropbox.com) file names as well. just to see if I could. When I first tried to do it (as previously stated, the Twitter Word Cloud post was the first python script I wrote) I ran into some difficulties. I didn't really understand what I was doing (although I still don't **really** understand, I at least have a vague idea of what the heck I'm doing now). The script isn't much different than the [Twitter](https://www.twitter.com) word cloud. The only real differences are: 1. the way in which the `words` variable is being populated 2. the mask that I'm using to display the cloud In order to go get the information from the file system I use the `glob` library: import glob The next lines have not changed import matplotlib.pyplot as plt from wordcloud import WordCloud, STOPWORDS from scipy.misc import imread Instead of writing to a 'tweets' file I'm looping through the files, splitting them at the `/` character and getting the last item (i.e. the file name) and appending it to the list `f`: f = [] for filename in glob.glob('/Users/Ryan/Dropbox/Ryan/**/*', recursive=True): f.append(filename.split('/')[-1]) The rest of the script generates the image and saves it to my Dropbox Account. Again, instead of using a [Twitter](https://www.twitter.com) logo, I'm using a **Cloud** image I found [here](http://www.shapecollage.com/shapes/mask- cloud.png) words = ' ' for line in f: words= words + line stopwords = {'https'} logomask = imread('mask-cloud.png') wordcloud = WordCloud( font_path='/Users/Ryan/Library/Fonts/Inconsolata.otf', stopwords=STOPWORDS.union(stopwords), background_color='white', mask = logomask, max_words=1000, width=1800, height=1400 ).generate(words) plt.imshow(wordcloud.recolor(color_func=None, random_state=3)) plt.axis('off') plt.savefig('/Users/Ryan/Dropbox/Ryan/Post Images/dropbox_wordcloud.png', dpi=300) plt.show() And we get this:  | 2016-11-25 | dropbox-files-word-cloud | In one of my [previous posts](https://www.ryancheley.com/blog/2016/11/22/twitter-word-cloud) I walked through how I generated a wordcloud based on my most recent 20 tweets. I though it would be _neat_ to do this for my [Dropbox](https://www.dropbox.com) file names as well. just to see if I could. When I first tried to do it … | Dropbox Files Word Cloud | https://www.ryancheley.com/2016/11/25/dropbox-files-word-cloud/ |