[Python] Why Python ignores the sign in the column name?

I have a dataframe of text that looks like this

RepID, Txt
1, +83 -193 -380 +55 +901
2, -94 +44 +2892 -60
3, +7010 -3840 +3993


Although the Txt field have +282 and -829 but these are string values not numeric

The problem is that when I use Bag of words function

def BOW(df):
CountVec = CountVectorizer() # to use only bigrams ngram_range=(2,2)
Count_data = CountVec.fit_transform(df)
Count_data = Count_data.astype(np.uint8)
cv_dataframe=pd.DataFrame(Count_data.toarray(), columns=CountVec.get_feature_names_out(), index=df.index) # <- HERE
return cv_dataframe.astype(np.uint8)


I get the result columns without any sign + or -

the outcome is

RepID 83 193 380 55 ...
1 1 1 1 1
2 0 0 0 0


it should be

RepID +83 -193 -380 +55 ...
1 1 1 1 1
2 0 0 0 0


Why is that and how to fix it?

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