Unable to call the function in python

Question

j=pd.read_excel('train1.xls', 'sheet1', na_values=['NA', '?'],header=None)
j.columns=['News','Sentiment']
train = [(j.News,j.Sentiment)]
cl = DecisionTreeClassifier(train)

Getting TypeError: basic_extractor() takes exactly 2 arguments (1 given) But while using the following code I am not getting any error:-

train = [('I love this sandwich.', 'pos'),
    ('This is an amazing place!', 'pos'),
    ('I feel very good about these beers.', 'pos'),
    ('I do not like this restaurant', 'neg'),
    ('I am tired of this stuff.', 'neg'),
    ("I can't deal with this", 'neg'),
    ("My boss is horrible.", "neg")
 ]
cl = DecisionTreeClassifier(train)

This time it is working. Do you know the what's the problem in the first case?

Please make some minimal effort to debug the issue yourself. — Mad Physicist
– Mad Physicist, Commented Jun 28, 2017 at 12:51
You should print the train and inspect very closely whats the difference between the two. — Vivek Kumar
– Vivek Kumar, Commented Jun 28, 2017 at 16:24

jezrael · Accepted Answer · 2017-06-28 12:51:09Z

2

I think you need zip:

#for python 2 omit list
train = list(zip(j.News,j.Sentiment))

Sample:

a = train = [('I love this sandwich.', 'pos'),
    ('This is an amazing place!', 'pos'),
    ('I feel very good about these beers.', 'pos'),
    ('I do not like this restaurant', 'neg'),
    ('I am tired of this stuff.', 'neg'),
    ("I can't deal with this", 'neg'),
    ("My boss is horrible.", "neg")
 ]
j = pd.DataFrame(a, columns=['News','Sentiment'])
print (j)
                                  News Sentiment
0                I love this sandwich.       pos
1            This is an amazing place!       pos
2  I feel very good about these beers.       pos
3        I do not like this restaurant       neg
4            I am tired of this stuff.       neg
5               I can't deal with this       neg
6                 My boss is horrible.       neg

train = list(zip(j.News,j.Sentiment))
print (train)
[('I love this sandwich.', 'pos'), ('This is an amazing place!', 'pos'), ('I feel very good about these beers.', 'pos'), ('I do not like this restaurant', 'neg'), ('I am tired of this stuff.', 'neg'), ("I can't deal with this", 'neg'), ('My boss is horrible.', 'neg')]

answered Jun 28, 2017 at 12:51

jezrael

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8 Comments

Vic13 Over a year ago

While using your code, I am getting a tuple type list and when I am calling this I am getting TypeError: basic_extractor() takes exactly 2 arguments (1 given). I don't think their is any problem with my data.

jezrael Over a year ago

I dont understand, in your question last paragraph works?

train = [('I love this sandwich.', 'pos'),     ('This is an amazing place!', 'pos'),     ('I feel very good about these beers.', 'pos'),     ('I do not like this restaurant', 'neg'),     ('I am tired of this stuff.', 'neg'),     ("I can't deal with this", 'neg'),     ("My boss is horrible.", "neg")  ] cl = DecisionTreeClassifier(train)

?

jezrael Over a year ago

Or do you need cl = DecisionTreeClassifier(j[["News","Sentiment"]]) ?

Vic13 Over a year ago

Yes, even I don't know what's wrong with it. I am trying to use this api with my training data.

jezrael Over a year ago

OK, give me some time, I try test it.

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