I'm looking to remove dollar signs from an entire python pandas dataframe. It's similar to this post:
Remove Entire Character
However, I'm looking to remove the dollar sign which is not working. I believe it's because regex sees the dollar sign as the end of the string, but I'm not sure what to do about it. Here is what I have created so far:
dftest = pd.DataFrame({'A':[1,2,3],
                       'B':[4,5,6],
                       'C':['f;','$d:','sda%;sd$'],
                       'D':['s%','d;','d;p$'],
                       'E':[5,3,6],
                       'F':[7,4,3]})
Which gives the output:
In [155]: dftest
Out[155]:
   A  B         C     D  E  F
0  1  4        f;    s%  5  7
1  2  5       $d:    d;  3  4
2  3  6  sda%;sd$  d;p$  6  3
I then try to remove the dollar signs as follows:
colstocheck = dftest.columns
dftest[colstocheck] = dftest[colstocheck].replace({'$':''}, regex = True)
That does not remove the dollar signs but this code does remove the percent signs:
dftest[colstocheck] = dftest[colstocheck].replace({'%':''}, regex = True)
So I'm not sure how to replace the dollar signs.
First of all, create a data frame. Then, use gsub function along with lapply function to remove dollar sign.
Dollar signs can also be removed from a dataframe column or row, by using the gsub() method. All the instances of the $ sign are removed from the entries contained within the data frame.
Add df = df. astype(float) after the replace and you've got it. I'd skip inplace and just do df = df. replace('\*', '', regex=True).
You can use str. strip() to remove the whitespaces around the string, and str. replace() to replace the $ with a empty character.
You need escape $ by \:
dftest[colstocheck] = dftest[colstocheck].replace({'\$':''}, regex = True)
print (dftest)
   A  B        C    D  E  F
0  1  4       f;   s%  5  7
1  2  5       d:   d;  3  4
2  3  6  sda%;sd  d;p  6  3
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