选择数据框熊猫python的一列

Question

I am trying to select a column from a pandas data frame I am reading

tweets = pd.read_csv(r'C:\Users\PedroLuis\Documents\Manita\LASSO 20170219-20170402.csv', sep = " , ", engine='python')
tweets = pd.DataFrame(tweets)

When I list the columns what I see is

    list(tweets)
Out: ['"","text","favorited","favoriteCount","replyToSN","created","truncated","replyToSID","id","replyToUID","statusSource","screenName","retweetCount","isRetweet","retweeted","longitude","latitude"']

I try to select the second column by its name>

tweets['text']

And I get this error:

KeyError: 'text'

Answer 1

There is a space in your sep = " , " which causes all the column to combine.

Change it to

tweets = pd.read_csv(r'C:\Users\PedroLuis\Documents\Manita\LASSO 20170219-20170402.csv', sep = ",", engine='python')

You should be able to call tweet['text']

Answer 2

If you look carefully at the output of list(), you'll notice one entire string contained in single quotes, and each header surrounded in double-quotes, which means pandas hasn't interpreted the line as you are expecting.

Out: ['"","text","favorited","favoriteCount","replyToSN","created","truncated","replyToSID","id","replyToUID","statusSource","screenName","retweetCount","isRetweet","retweeted","longitude","latitude"']

Whereas it should look like

Out: ['','text','favorited','favoriteCount','replyToSN','created','truncated','replyToSID','id','replyToUID','statusSource','screenName','retweetCount','isRetweet','retweeted','longitude','latitude']

I don't know what your input looks like, but, as Niche.P says, cleaning up your separator parameter could be a solution. Otherwise it could be an encoding issue .