Need help formatting pandas data frame from json file

Hi I need help formatting a json file that I converted to a pandas dataframe.

Json looks like

{
  "test":
    { 
       "1":["test1_a", "test1_b", "test1_c"]
       "2":["test2_a", "test2_b", "test2_c"]
       "3":["test3_a", "test3_b", "test3_c"]
     }
}

And I need this json to be converted to a pandas dataframe and for it to be printed like this:

col1     col2     col3
test1_a  test1_b  test1_c
test2_a  test2_b  test2_c
test3_a  test3_b  test3_c

How would I do this? I need it to be a pandas dataframe and need to define the column rows.

So far I have tried:

json_file = open(json_file_path, 'r') 
data = json.load(json_file)
pandasDataframe = pd.Dataframe.from_dict(data)
print(pandasDataframe)

And it prints this, which I don’t want 🙁

1 ["test1_a", "test1_b", "test1_c"]
2 ["test2_a", "test2_b", "test2_c"]
3 ["test3_a", "test3_b", "test3_c"]

updated: when I do

pd.DataFrame(data['test'])

It looks like [not quite what I want, but it’s getting there]

     1        2        3
0 test1_a   test2_a  test3_a
1 test1_b   test2_b  test3_b
2 test1_c   test2_c  test3_c

Update #2: when I transpose it looks like this:

        0               2
1 test1_a test1_b test1_c
2 test2_a test2_b test2_c
3 test3_a test3_b test3_c

How would I get rid of the 0 and 2 at the top? And what does it mean?
Also how do I get rid of the 1,2,3 (aka the first column altogether)

desired output:
the col names (col1, col2, col3) need to be added, but don’t know how)

col1     col2     col3
test1_a  test1_b  test1_c
test2_a  test2_b  test2_c
test3_a  test3_b  test3_c

import pandas as pd

pd.DataFrame(data['test']).add_prefix('col')

      col1     col2     col3
0  test1_a  test2_a  test3_a
1  test1_b  test2_b  test3_b
2  test1_c  test2_c  test3_c

pd.DataFrame(data['test']).T.rename(columns={0:'col1',1:'col2',2:'col3'})

      col1     col2     col3
1  test1_a  test1_b  test1_c
2  test2_a  test2_b  test2_c
3  test3_a  test3_b  test3_c