How to replace text in a column of a Pandas dataframe?

Question

I have a column in my dataframe like this:

range
"(2,30)"
"(50,290)"
"(400,1000)"
... 

and I want to replace the , comma with - dash. I'm currently using this method but nothing is changed.

org_info_exc['range'].replace(',', '-', inplace=True)

Can anybody help?

Answer 1

Use the vectorised str method replace:

In [30]:

df['range'] = df['range'].str.replace(',','-')
df
Out[30]:
      range
0    (2-30)
1  (50-290)

EDIT

So if we look at what you tried and why it didn't work:

df['range'].replace(',','-',inplace=True)

from the docs we see this desc:

str or regex: str: string exactly matching to_replace will be replaced with value

So because the str values do not match, no replacement occurs, compare with the following:

In [43]:

df = pd.DataFrame({'range':['(2,30)',',']})
df['range'].replace(',','-', inplace=True)
df['range']
Out[43]:
0    (2,30)
1         -
Name: range, dtype: object

here we get an exact match on the second row and the replacement occurs.