Hope you are well,
I am fairly new in the python world and the coding world in general. I wanted to test python/panda’s powers and the usefulness of making lists.
I have a column called ‘Lines’ in my csv file which reads like this:
Lines |
---|
A,B,C |
A,D,C |
B,C,D,E |
A,B,C,D,E |
C |
C,D,E |
Which I converted to a 1D list (thanks to pandas):
lines = df['Lines'] print(lines): ['A,B,C', 'A,D,C', 'B,C,D,E', 'A,B,C,D,E', 'C', 'C,D,E']
Now I know there are a ton of tutorials out there but somehow none worked for me… The output I am searching for would be something like this:
print(lines[0][1]): B print(lines[2][2]): D
Is this something that is doable in python I wonder? Creating a 2D list based on multiple items in a specific CSV row? Thanks for any help/resource provided! Apologies in advance if the template provided is not useful/up-to-standards.
R.
Advertisement
Answer
You can do something like:
lines = pd.array([i.split(",") for i in df['Lines'])
lines is now a 2D array. You can access elements like you wanted to.
>>> lines[0][1] 'B' >>> lines[2][2] 'D'