python - Numpy vectorized less than/greater than comparisons -

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I have some code that they meet the quadrangle of the circle which they fall. It currently gives me the results that I want, but I am trying to lose the loop to make full use of the numpy speed. The fourth part of each circle is the center of spawn_angles = np.array ([3, 10, 80, 100, 170, 190, 260, 280]). 

  np angle = np.array 0, 90, 180, 270]) segment_degrees = np.diff (spawn_angles) [0] lower_bounds = spawn_angles - (segment_degrees / 2) upper_bounds = spawn_angles + (segment_degrees / 2) max_upper = upper_bounds.max () # Wrap back negative Angle angle angle angle greater than the upper limit of angle & gt; Max_upper] = = 4th part of the 360-quad = np.zeros_like (angle, dtype = np.float64) # that fourth part that does not get calculated # Just want to ensure invalid numbers will be assigned, i.e. -1 quadrant.fill (-1) For segment_num (lane (spawn_angles)) in range: in_segment = (; lower_bounds [segment_num]) & amp; (Angle & lt; (angle & gt upper_bounds [segment_num])) quadrant [in_segment] = segment_num # required / current output quadrant out [16]: Array ([0, 0, 1. , 1., 2., 2., 3., 3.])

Actually, in which part I can not understand how to do samples, it is & gt; / & lt; than the angle lower_bounds [0] and upper_bounds [0] , handed circle the quadrant between the entry , then is 0, and similar to the quadrant 1, 2, 3. is there any way AIDS Array to LOWER_BOUND and / or Upri_bound as well as all entries To compare?

(If this code seems to have some of that, because overcomplicated spawn_angles / are not always quadrant centers circle [0, 90, 180, 270] , they may also be like [45, 135, 225, 315] )

You need to lift everything up to one dimension. You want a 2D array with each segment_num as a line and as a column for each angle (or you may want to make a transfer), but if so, you are able to remove it from here. Should be.)

If you just click a & gt; B where one and b are both 1D arrays, you are comparing 1 to 1 element.

But if a is a 2D array, then you are asking for a comparison of the Cartesian product.

In other words: 

  & gt; & Gt; & Gt; Array Fresh ((8,1)) & gt; Nicla_bound Array ([True, True, True], [true, false, false, false], [true, false, false] true, true, false, false, true, true

and you should be able to understand it from there.

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