Reputation: 1233
I Know this question has a lot of answers, for example: How to sort pandas data frame using values from several columns?
I tried the solutions given by the users, but I cannot get a sorted column.
I built a DataFrame:
weekly = {'Tweet ID': Series(tweetID),
'Fecha de Publicación': Series(tweetDate),
'Tweet': Series(textStatus),
'Retweets': Series(retweetCount),
'Favoritos': Series(favoriteCount),
'Hashtags': Series(hashtags),
'Menciones': Series(mentions)}
weeklyAnalysis = DataFrame(weekly)
Then I call for specific tweets:
maxTweets = weeklyAnalysis[['Tweet', 'Retweets']]
[weeklyAnalysis['Retweets'] >= promedioRts]
This is what I tried, in order to sort retweets column:
maxTweets.sort_values(by=['Tweet', 'Retweets'], ascending=[False, True])
How can I actually sort that retweets column.
Any suggestions are appreciated! Thanks
Upvotes: 1
Views: 8414
Reputation: 4102
By default pandas does not sort in place, unlike Python's list
.
Change
maxTweets.sort_values(by=['Tweet', 'Retweets'], ascending=[False, True])
to
maxTweets = maxTweets.sort_values(by=['Tweet', 'Retweets'], ascending=[False, True])
or pass inplace=True
maxTweets.sort_values(by=['Tweet', 'Retweets'], ascending=[False, True], inplace=True)
Upvotes: 7
Reputation: 1031
If I'm understanding you correctly, you're trying to sort that df by 'retweets'? use:
maxTweets_sorted = maxTweets.sort_values(by='Retweets')
Upvotes: 4