Python numpy.random Module

This page shows the popular functions and classes defined in the numpy.random module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. randint()    
  Used in 258 projects
• 2. choice()    
  Used in 209 projects
• 3. uniform()    
  Used in 131 projects
• 4. random()    
  Used in 110 projects
• 5. rand()    
  Used in 103 projects
• 6. randn()    
  Used in 94 projects
• 7. RandomState()    
  Used in 88 projects
• 8. seed()    
  Used in 86 projects
• 9. normal()    
  Used in 72 projects
• 10. permutation()    
  Used in 58 projects
• 11. shuffle()    
  Used in 48 projects
• 12. multinomial()    
  Used in 26 projects
• 13. binomial()    
  Used in 26 projects
• 14. multivariate_normal()    
  Used in 19 projects
• 15. poisson()    
  Used in 13 projects
• 16. random_sample()    
  Used in 13 projects
• 17. get_state()    
  Used in 7 projects
• 18. exponential()    
  Used in 6 projects
• 19. random_integers()    
  Used in 6 projects
• 20. gamma()    
  Used in 6 projects
• 21. geometric()    
  Used in 6 projects
• 22. standard_normal()    
  Used in 5 projects
• 23. negative_binomial()    
  Used in 5 projects
• 24. beta()    
  Used in 5 projects
• 25. dirichlet()    
  Used in 5 projects
• 26. set_state()    
  Used in 5 projects