How to remove or mask values in a numpy array based on another array

Question

I have two numpy arrays xVal and yVal . I also have a range for xVal say (minVal,maxVal) . I can get the values of xVal in the range using

xVal[(xVal>=minVal)&(xVal<=maxVal)] 

or the index of values in xVal in range as

np.where((xVal>=minVal)&(xVal<=maxVal))

What is a pythonic approach to resize or mask yVal based on this range information of xVal , so I can plot xVal vs yVal

Answer 1

This is the most pythonic answer I could come up with

Get the index of values not in range as

indexRemove = np.where(np.logical_not((xVal>=minVal)&(xVal<=maxVal)))

and then use np.delete to remove the index values from xVal and yVal

xVal2 = np.delete(xVal, indexRemove)
yVal2 = np.delete(yVal, indexRemove)