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  1. Prepare
  2. Python
  3. Numpy
  4. Arrays
  5. Discussions

Arrays

  • jeanpierrefouche
     + 0 comments

    Thanks @sheo_the_uncle

    To demonstrate your point, I have provided the code below:

    def arrays(arr):
    return numpy.array(numpy.flipud(arr), float) # using numpy.flipud ("flip up-down")

    # return numpy.array(arr[::-1], float) # using slicing

    # arr.reverse() # slow, cannot be used inline - needs two lines of code
    # return numpy.array(arr, float)