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March 19, 2016 19:32
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| import pandas as pd | |
| import nltk | |
| def count_words(text, words): | |
| count = -1 | |
| try: | |
| tokens = nltk.word_tokenize(text) | |
| count = 0 | |
| for t in tokens: | |
| norm_t = t.lower() | |
| if (norm_t in words): | |
| count = count + 1 | |
| except: | |
| print("error") | |
| return count | |
| def count_swears(text): | |
| return count_words(text, sw) | |
| tw = pd.read_csv('/Users/lestew/Downloads/7983102_29842bf08e6351e434c2774a693cb64f8167d531/tweets.csv') | |
| tw['datetime'] = pd.to_datetime(tw.timestamp) | |
| tw = tw.set_index('datetime') | |
| tw['day'] = tw.index.dayofweek | |
| tw['swears'] = tw.text.apply(count_swears) | |
| sw_days = tw[tw.swears > 0] | |
| d = sw_days[sw_days.retweeted_status_id.isnull()].day | |
| p = d.value_counts().sort_index().plot.bar() | |
| p.set_xticklabels(["mon", "tue", "wed", "thu", "fri", "sat", "sun"]) | |
| pylab.show() |
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