Testing floating point equality

by
  • For comparing numbers, there is math.isclose.
  • For comparing numbers or arrays, there is numpy.allclose.
  • For testing numbers or arrays, there is numpy.testing.assert_allclose

More Related Contents:

  1. How to test multiple variables for equality against a single value?
  2. Why does comparing strings using either ‘==’ or ‘is’ sometimes produce a different result?
  3. How are strings compared?
  4. How does tuple comparison work in Python?
  5. Is floating point arbitrary precision available?
  6. Python JSON serialize a Decimal object
  7. Python None comparison: should I use “is” or ==?
  8. Limiting floats to two decimal points
  9. Comparing two dictionaries and checking how many (key, value) pairs are equal
  10. How to get a random number between a float range?
  11. How to get numbers after decimal point?
  12. round() doesn’t seem to be rounding properly
  13. negative zero in python
  14. Easy pretty printing of floats?
  15. How do I use a decimal step value for range()?
  16. How to compare two JSON objects with the same elements in a different order equal?
  17. python floating number [duplicate]
  18. Add zeros to a float after the decimal point in Python
  19. Floating Point Limitations [duplicate]
  20. Should __ne__ be implemented as the negation of __eq__?
  21. Rounding a number in Python but keeping ending zeros
  22. How to find common elements in list of lists?
  23. Comparing floats in a pandas column
  24. double equals vs is in python [duplicate]
  25. Why does the floating-point value of 4*0.1 look nice in Python 3 but 3*0.1 doesn’t?
  26. Python float to int conversion
  27. Get the “bits” of a float in Python?
  28. Round a floating-point number down to the nearest integer?
  29. Why/When in Python does `x==y` call `y.__eq__(x)`?
  30. mean from pandas and numpy differ

Leave a Comment