[Python] How to calculate the percentage of list of values in each row in python pandas

I want to calculate the percentage of list of values each row . My data like

pla_id vis_dm
83393
83394
83395
83393
83395
83423 [5, 6, 9, 12, 25, 28, 29, 30, 35, 40, 42, 64, ...
83423 [5, 8, 9, 12, 25, 28, 39, 30, 35, 40, 42, 64, ...
83426 [5, 7, 9, 12, 22, 28, 49, 30, 35, 40, 42, 64, ...
83423 [5, 2, 9, 12, 28, 28, 29, 30, 35, 40, 42, 64, ...


I need to calculate the percentage of each row values I need output like this :

pla_id visitor_dma percentage of vis_dm
83394
83396
83398
83393
83394
83395
83393
83395
83423 [4, 6, 9, 12, 25, 28, 29, 30, 35, 40, 42, 64, ... 60%
83423 [7, 8, 9, 12, 15, 28, 29, 30, 35, 40, 42, 64, ... 40 %
83426 [4, 6, 9, 12, 25, 18, 39, 40, 35, 40, 42, 64, ... 70%
83423 [5, 2, 9, 12, 45, 98, 29, 30, 35, 40, 42, 64, ... 80%


I tried this to code , I think still improve this code, can please anyone help me on this.

plac['vist_dm'] = plac['vist_dm'].apply(
lambda x: [' '] if isinstance(x, str) and x.strip() == '' else (
ast.literal_eval(x) if isinstance(x, str) else x
)
)
df_exploded1 = plac.explode('vist_dm')
df_exploded2 = df_exploded1.rename(columns={'vist': 'dm'})

dma_counts = df_exploded2['dm'].value_counts(normalize=True).round(4)
df_exploded2['dm_percentage'] = df_exploded2['dm'].map(dm_counts)

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