Numpy image – rotate matrix 270 degrees
Question:
I’ve got a Numpy 2d array that represents a grey-scale image and I need to rotate it 270 degrees. Might be being a bit thick here but the two ways I can find to do this seem quite… circulous:
rotated = numpy.rot90(numpy.rot90(numpy.rot90(orignumpyarray)))
rotated = numpy.fliplr(numpy.flipud(numpy.rot90(orignumpyarray)))
I’m thinking there must be a better way to do this in one operation. Basically a rot270() function? Any ideas?
Answers:
You can tell rot90
to rotate several times, this should work:
rotated = numpy.rot90(orignumpyarray,3)
rotated_array =numpy.rot90(orignumpyarray,3)
Explanation of the function:
numpy.rot90(a,b)
a = Array which you want to rotate
b = How many times you want to rotate it by 90 degrees. For here you want 270° so
90° * 3 = 270° that is why b = 3 here.
I’ve got a Numpy 2d array that represents a grey-scale image and I need to rotate it 270 degrees. Might be being a bit thick here but the two ways I can find to do this seem quite… circulous:
rotated = numpy.rot90(numpy.rot90(numpy.rot90(orignumpyarray)))
rotated = numpy.fliplr(numpy.flipud(numpy.rot90(orignumpyarray)))
I’m thinking there must be a better way to do this in one operation. Basically a rot270() function? Any ideas?
You can tell rot90
to rotate several times, this should work:
rotated = numpy.rot90(orignumpyarray,3)
rotated_array =numpy.rot90(orignumpyarray,3)
Explanation of the function:
numpy.rot90(a,b)
a = Array which you want to rotate
b = How many times you want to rotate it by 90 degrees. For here you want 270° so
90° * 3 = 270° that is why b = 3 here.