Find min and max in variable number of values in array

Question

I have a dataframe with multiple arrays in a column. I am trying to find the min and max of each column.

I can split an array with a single value and find the min and max from there ([9.75 x 8.00]) but it becomes more complicated when there are multiple values in an array ([10 x 14, 10 x 11, 1.5 x 1.75]).

Here is what I have:

df[['Length', 'Width']]=df['Array'].str.split("x",expand=True,)
df['Max'] = df[['Length', 'Width']].values.max(1)

Here Is what I am trying to get:

df = pd.DataFrame({"Array": ["[9.75 x 8.00]", "[10 x 14, 10 x 11, 1.5 x 1.75]", "[54 x 80, 39 x 75, 78 x 80, 39 x 80, 54 x 75, 60 x 80]"],"Max":["[9.75]", "[14,11,1.75]", "[80,75,80,80,75,80]"],"Min":["[8.00]", "[10,10,1.5]", "[54,39,78,39,54,60]"]})