Pandas Data Frame get the values only not the definition

Asked Jun 30 '20 at 12:22

Active Jun 30 '20 at 12:35

Viewed 26 times

I am trying to assign a variable into a pandas data frame but when I am printing it's giving me an output like this. its with index and definition.

    2    ['segment', 'deviceCategory', 'userType']
Name: Dimensions, dtype: object

is there a way to only get output like this in type list.

['segment', 'deviceCategory', 'userType']

I am just reading and storing into variables.

my_dim = df['Dimensions']
print(my_dim)
2    ['segment', 'deviceCategory', 'userType']
    Name: Dimensions, dtype: object

Expected Output:

['segment', 'deviceCategory', 'userType']

there must be a way to do that but not able to find.

edited Jun 30 '20 at 12:35

asked Jun 30 '20 at 12:22

DKM

`my_dim = df['Dimensions'].iat[0]` – jezrael Jun 30 '20 at 12:24
whats that iat? – DKM Jun 30 '20 at 12:26
do I need to import something? – DKM Jun 30 '20 at 12:26
it is function for seelct first value of series – jezrael Jun 30 '20 at 12:27
it works but the type is str. how can I convert into the list? – DKM Jun 30 '20 at 12:29
1

then use `import ast` and `my_dim = ast.literal_eval(my_dim)` – jezrael Jun 30 '20 at 12:58

0 Answers0