'How to read a csv file with muplitiple delimiter in pandas
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
Solution 1:[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="[_\.]"
Solution 2:[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
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Matteo Zanoni |
| Solution 2 | Corralien |
