Creating a list from another lists Pandas

Question

I have the following dataframe.

my_list= [(343, 4364), (221, 791), (221, 2847), (21, 1296)]

from this list I would like to pick the second value from the list values and get the following list.

new_list = [4364, 791, 2847, 1296]

Can any one help on this?

Is the criteria always to get the second element of the tuple for each element in the list? — etch_45
– etch_45, Commented Jan 5, 2022 at 13:18

Drecker · Accepted Answer · 2022-01-05 13:21:39Z

1

What you are describing are just lists not pandas DataFrames. In order to get the second element, the easiest solution is probably to use list comprehension:

my_list= [(343, 4364), (221, 791), (221, 2847), (21, 1296)]
new_list = [x for _, x in my_list]
# or
new_list = [x[1] for x in my_list]

If you are indeed working with pandas, you can use [] to get desired column:

df = pandas.DataFrame([(343, 4364), (221, 791), (221, 2847), (21, 1296)])
col = df[1]

answered Jan 5, 2022 at 13:21

Drecker

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user9613901 · Accepted Answer · 2022-01-05 13:20:50Z

1

use this snippets:

my_list= [(343, 4364), (221, 791), (221, 2847), (21, 1296)]
res=[]
for i,x in my_list:
    res.append(x)

print(res)

Output:

[4364, 791, 2847, 1296]

answered Jan 5, 2022 at 13:20

user9613901

Comments

justANewb stands with Ukraine · Accepted Answer · 2022-01-05 13:21:45Z

1

You can do it with list comprehension:

my_list= [(343, 4364), (221, 791), (221, 2847), (21, 1296)]
new_list = [i[1] for i in my_list]
print(new_list)

answered Jan 5, 2022 at 13:21

justANewb stands with Ukraine

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