I have following dataframe:
id feature
1 p.Asp25Asn
2 p.Gly25Asn
3 p.Ile20Tyr
I would like to replace a part of column 'feature'.
For example: Asp when matched should be replaed by 'D'. Asn when matched should be replace by 'N' and so on for other column values like Gly --> G, Ile -->I, Tyr -->Y
The expected output is:
id feature
1 p.D25N
2 p.G25N
3 p.I20Y
I am writing a function which matches a condition and perform such replacement globally. If there are better solution available, please suggest.
Thanks
you can use pandas.DataFrame.replace using a dictionary.
df=pd.DataFrame({'id':[1,2,3],'feature':['p.Asp25Asn','p.Gly25Asn','p.Ile20Tyr']})
>>>df
id feature
0 1 p.Asp25Asn
1 2 p.Gly25Asn
2 3 p.Ile20Tyr
mydict={'Asp':'D','Asn':'N','Gly':'G','Ile':'I','Tyr':'Y'}
df = df.replace({"feature": mydict},regex=True)
>>>df
id feature
0 1 p.D25N
1 2 p.G25N
2 3 p.I20Y
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