I have a dataset like this (with many more columns):
FLAG__DC SEXECOND CRM_TAUX
0 N M 0,9
1 N M 0,9
2 N M 1,2
3 O M 1
4 N M 1
5 N M 0,9
6 O M 1
7 N M 0,9
I want to convert the column CRM_TAUX
to Float... Please help!
I have tried this but doesn't work:
df['CRM_TAUX'] = df.CRM_TAUX.replace(',','.')
df['CRM_TAUX'] = df.CRM_TAUX.apply(pd.to_numeric)
This is the error I get (and many more):
Unable to parse string "1,2" at position 0
Thanks in advance!
Use str.replace
df.CRM_TAUX.str.replace(',' , '.')
Out[2246]:
0 0.9
1 0.9
2 1.2
3 1
4 1
5 0.9
6 1
7 0.9
Name: CRM_TAUX, dtype: object
Next, call pd.to_numeric
on it should work
s = df.CRM_TAUX.str.replace(',' , '.')
df['CRM_TAUX'] = pd.to_numeric(s)
Out[2250]:
FLAG__DC SEXECOND CRM_TAUX
0 N M 0.9
1 N M 0.9
2 N M 1.2
3 O M 1.0
4 N M 1.0
5 N M 0.9
6 O M 1.0
7 N M 0.9
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