How to do multiple replace in dataframe?

Samulafish :

I have code as below:

s = pd.Series(['$2.75', np.nan, 4.150000, 25.00, '$4.50','k876','g67.3'])

strs =  s.astype(str).str.replace("$", "").replace("k", "").replace("g", "")
#strs = s.astype(str).str.replace({'\$': '', ',': ''}, regex=True)
res = pd.to_numeric(strs, errors='coerce').fillna(0)
print(res)

I suppose output should be:

0     2.75
1     0.00
2     4.15
3    25.00
4     4.50
5     876
6     67.3

But instead, row 5 and 6 actually result is zero.

Please help point out the mistake. I appreciate any suggestions.

moys :

Use regex=True in your replace codes, like below

s = pd.Series(['$2.75', np.nan, 4.150000, 25.00, '$4.50','k876','g67.3'])
strs =  s.astype(str).str.replace("$", "", regex=True).replace("k", "", regex=True).replace("g", "", regex=True)
res = pd.to_numeric(strs, errors='coerce').fillna(0)
print(res)

Output

0      2.75
1      0.00
2      4.15
3     25.00
4      4.50
5    876.00
6     67.30
dtype: float64