Reputation:
I have a dataframe with messy data.
df:
1 2 3
-- ------- ------- -------
0 123/100 221/100 103/50
1 49/100 333/100 223/50
2 153/100 81/50 229/100
3 183/100 47/25 31/20
4 2.23 3.2 3.04
5 2.39 3.61 2.69
I want the fractional values to be converted to decimal with the conversion formula being
e.g:
The calculation is fractional value + 1
And of course leave the decimal values as is.
How can I do it in Pandas and Python?
Upvotes: 0
Views: 837
Reputation: 120479
If you trust the data in your dataset, the simplest way is to use eval
or better, suggested by @mozway, pd.eval
:
>>> df.replace(r'(\d+)/(\d+)', r'1+\1/\2', regex=True).applymap(pd.eval)
1 2 3
0 2.23 3.21 3.06
1 1.49 4.33 5.46
2 2.53 2.62 3.29
3 2.83 2.88 2.55
4 2.23 3.20 3.04
5 2.39 3.61 2.69
Upvotes: 1
Reputation: 232
A simple way to do this is to first define a conversion function that will be applied to each element in a column:
def convert(s):
if '/' in s: # is a fraction
num, den = s.split('/')
return 1+(int(num)/int(den))
else:
return float(s)
Then use the .apply
function to run all elements of a column through this function:
df['1'] = df['1'].apply(convert)
Result:
df['1']:
0 2.23
1 1.49
2 2.53
3 2.83
4 2.23
5 2.39
Then repeat on any other column as needed.
Upvotes: 1