grouped_df = unicorn_df.groupby(['Continent','Industry']).count() grouped_df['Company']
the result is like this :
Continent Industry
Africa Consumer & retail 1
** Fintech 3**
Mobile & telecommunications 1
Asia Artificial Intelligence 25
Auto & transportation 19
Consumer & retail 12
Cybersecurity 8
Data management & analytics 4
** E-commerce & direct-to-consumer 57**
Edtech 20
Fintech 43
Hardware 20
Health 13
Internet software & services 36
Mobile & telecommunications 21
Other 14
Supply chain, logistics, & delivery 28
Travel 7
Europe Artificial Intelligence 7
Auto & transportation 8
Consumer & retail 3
Cybersecurity 2
Data management & analytics 6
E-commerce & direct-to-consumer 16
Edtech 2
** Fintech 53**
Hardware 5
Health 9
Internet software & services 19
Mobile & telecommunications 4
Other 14
Supply chain, logistics, & delivery 8
Travel 5
NorthAmerica Artificial Intelligence 56
Auto & transportation 10
Consumer & retail 14
Cybersecurity 48
Data management & analytics 35
E-commerce & direct-to-consumer 30
Edtech 10
Fintech 142
Hardware 15
Health 73
** Internet software & services 168**
Mobile & telecommunications 13
Other 36
Supply chain, logistics, & delivery 28
Travel 2
I only want to show the name of continent and industry that have the highest number of company, what should I do?
What code should I write to get only the continent and industry who has highest number of company?
