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- import numpy as np
- def create_k_steps(k_span, steps):
- """
- A function that returns a k_span gradient span with odd and even gradient steps
- """
- k_steps = np.array(range(steps+1))
-
- if (np.mod(steps,2) == 0):
- k_steps = ( k_steps - steps/2 ) / (steps/2)
- else:
- k_steps = ( k_steps - (steps+1)/2 ) / (steps/2)
-
- k_steps = np.flip(k_steps,0)
- k_steps = np.delete(k_steps,-1)
- return k_steps*k_span*0.5
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