How to read a csv file with muplitiple delimiter in pandas

Question

I have a csv file with delimiter (dot and underscore) and I am using sep='_.' in read_csv but it is not taking dot as sep while reading.

input jks_12034.45_89.12

output jks 12034 45 89 12

Answer 1

As stated in the documentation

separators longer than 1 character and different from '\s+' will be interpreted as regular expressions

If you use sep="_\." it will only match a point where youhave both an underscore AND a dot.

If you want to split on unserscore OR dot use sep="\.|_" or sep="[_\.]"

Answer 2

Use engine='python' and sep=r'[_.]' as parameters of pd.read_csv :

df = pd.read_csv('data.csv', sep=r'[_.]', engine='python', header=None)
print(df)

# Output
     0      1   2   3   4
0  jks  12034  45  89  12