cloudia
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vaaaaanquish
Tools to easily create a word cloud
Automatically decide whether to use multiprocessing
Allowing japanize parser to be specified, for example mecab, sudachi, ginza, ... , and more. I think we should use [konoha](https://pypi.org/project/konoha/).
slowly: https://github.com/vaaaaanquish/cloudia/blob/master/cloudia/main.py#L29 ``` wordcloud_list = [] wcsize = self._calc_wc_size(rate) for name, words in self.wd: wordcloud = WordCloud(font_path=japanize_matplotlib.get_font_ttf_path(), background_color=self._color(dark_theme), width=wcsize[0], height=wcsize[1]) wordcloud.fit_words(words) wordcloud_list.append((name, wordcloud)) return wordcloud_list ```
For example, ``` c1 = Cloudia(...) c2 = Cloudia(...) c = c1+c2 c.plot() ```