Numpy integer nan [duplicate]

by

No, you can’t, at least with current version of NumPy. A nan is a special value for float arrays only.

There are talks about introducing a special bit that would allow non-float arrays to store what in practice would correspond to a nan, but so far (2012/10), it’s only talks.

In the meantime, you may want to consider the numpy.ma package: instead of picking an invalid integer like -99999, you could use the special numpy.ma.masked value to represent an invalid value. 

a = np.ma.array([1,2,3,4,5], dtype=int)
a[1] = np.ma.masked
masked_array(data = [1 -- 3 4 5],
             mask = [False  True False False False],
       fill_value = 999999)

More Related Contents:

  1. What is the difference between size and count in pandas?
  2. What is the difference between NaN and None?
  3. Removing nan values from an array
  4. Why in numpy `nan == nan` is False while nan in [nan] is True?
  5. Interpolate NaN values in a numpy array
  6. How do I remove NaN values from a NumPy array?
  7. Comparing numpy arrays containing NaN
  8. NumPy: calculate averages with NaNs removed
  9. convert nan value to zero
  10. NaNs as key in dictionaries
  11. Numpy – Replace a number with NaN
  12. Python’s and Numpy’s nan and set
  13. What are some possible calculations with numpy or scipy that can return a NaN? [closed]
  14. How can I force division to be floating point? Division keeps rounding down to 0?
  15. How do you fix “runtimeError: package fails to pass a sanity check” for numpy and pandas?
  16. How to drop rows of Pandas DataFrame whose value in a certain column is NaN
  17. Maximum and Minimum values for ints
  18. How do I read CSV data into a record array in NumPy?
  19. How do I build a numpy array from a generator?
  20. Difference between numpy dot() and Python 3.5+ matrix multiplication @
  21. How to extend an array in-place in Numpy?
  22. NumPy/OpenCV 2: how do I crop non-rectangular region?
  23. Matplotlib runs out of memory when plotting in a loop
  24. ‘invalid value encountered in double_scalars’ warning, possibly numpy
  25. numpy.genfromtxt produces array of what looks like tuples, not a 2D array—why?
  26. Weird behaviour initializing a numpy array of string data
  27. How to convert an image from np.uint16 to np.uint8?
  28. Python import error: cannot import name ‘six’ from ‘sklearn.externals’
  29. Numpy Broadcast to perform euclidean distance vectorized
  30. ValueError: x and y must be the same size

Leave a Comment