Convert a columns of string to list in pandas

Question

I have a problem with the type of one of my column in a pandas dataframe. Basically the column is saved in a csv file as a string, and I wanna use it as a tuple to be able t

Answer 1

You can use ast.literal_eval, which will give you a tuple:

import ast
df.LABELS = df.LABELS.apply(ast.literal_eval)

If you do want a list, use:

df.LABELS.apply(lambda s: list(ast.literal_eval(s)))

Answer 2

Alternatively, you might consider regular expressions:

pattern = re.compile("[0-9]\.[0-9]")
df.LABELS.apply(pattern.findall)

Answer 3

You can try this (assuming your csv is called filename.csv):

df = pd.read_csv('filename.csv')

df['LABELS'] = df.LABELS.apply(lambda x: x.strip('()').split(','))

>>> df
   ID                               LABELS
0   1  [1.0, 2.0, 2.0, 3.0, 3.0, 1.0, 4.0]
1   2  [1.0, 2.0, 2.0, 3.0, 3.0, 1.0, 4.0]

Answer 4

Use str.strip and str.split:

df['LABELS'] = df['LABELS'].str.strip('()').str.split(',')

But if no NaNs here, list comprehension working nice too:

df['LABELS'] = [x.strip('()').split(',') for x in df['LABELS']]