pyqtgraph/pyqtgraph/tests/test_functions.py

81 lines
2.5 KiB
Python

import pyqtgraph as pg
import numpy as np
from numpy.testing import assert_array_almost_equal, assert_almost_equal
np.random.seed(12345)
def testSolve3D():
p1 = np.array([[0,0,0,1],
[1,0,0,1],
[0,1,0,1],
[0,0,1,1]], dtype=float)
# transform points through random matrix
tr = np.random.normal(size=(4, 4))
tr[3] = (0,0,0,1)
p2 = np.dot(tr, p1.T).T[:,:3]
# solve to see if we can recover the transformation matrix.
tr2 = pg.solve3DTransform(p1, p2)
assert_array_almost_equal(tr[:3], tr2[:3])
def test_interpolateArray():
data = np.array([[ 1., 2., 4. ],
[ 10., 20., 40. ],
[ 100., 200., 400.]])
x = np.array([[ 0.3, 0.6],
[ 1. , 1. ],
[ 0.5, 1. ],
[ 0.5, 2.5],
[ 10. , 10. ]])
result = pg.interpolateArray(data, x)
#import scipy.ndimage
#spresult = scipy.ndimage.map_coordinates(data, x.T, order=1)
spresult = np.array([ 5.92, 20. , 11. , 0. , 0. ]) # generated with the above line
assert_array_almost_equal(result, spresult)
# test mapping when x.shape[-1] < data.ndim
x = np.array([[ 0.3, 0],
[ 0.3, 1],
[ 0.3, 2]])
r1 = pg.interpolateArray(data, x)
r2 = pg.interpolateArray(data, x[0,:1])
assert_array_almost_equal(r1, r2)
# test mapping 2D array of locations
x = np.array([[[0.5, 0.5], [0.5, 1.0], [0.5, 1.5]],
[[1.5, 0.5], [1.5, 1.0], [1.5, 1.5]]])
r1 = pg.interpolateArray(data, x)
#r2 = scipy.ndimage.map_coordinates(data, x.transpose(2,0,1), order=1)
r2 = np.array([[ 8.25, 11. , 16.5 ], # generated with the above line
[ 82.5 , 110. , 165. ]])
assert_array_almost_equal(r1, r2)
def test_subArray():
a = np.array([0, 0, 111, 112, 113, 0, 121, 122, 123, 0, 0, 0, 211, 212, 213, 0, 221, 222, 223, 0, 0, 0, 0])
b = pg.subArray(a, offset=2, shape=(2,2,3), stride=(10,4,1))
c = np.array([[[111,112,113], [121,122,123]], [[211,212,213], [221,222,223]]])
assert np.all(b == c)
# operate over first axis; broadcast over the rest
aa = np.vstack([a, a/100.]).T
cc = np.empty(c.shape + (2,))
cc[..., 0] = c
cc[..., 1] = c / 100.
bb = pg.subArray(aa, offset=2, shape=(2,2,3), stride=(10,4,1))
assert np.all(bb == cc)
if __name__ == '__main__':
test_interpolateArray()