def testTwos(self): # make new datasets with twos
print("test twos")
dds = np.full(3, 2.)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(1, dds.ndim)
self.assertEqual(3, dds.shape[0])
self.assertEqual(2., dds[0])
dds = np.full((2, 3), 2.)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(2, dds.ndim)
self.assertEqual(2, dds.shape[0])
self.assertEqual(3, dds.shape[1])
self.assertEqual(2., dds[0, 0])
dds = np.full_like(dds, 2.)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(2, dds.ndim)
self.assertEqual(2, dds.shape[0])
self.assertEqual(3, dds.shape[1])
self.assertEqual(2., dds[0, 0])
dds = np.full(3, 2, dtype=np.float)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(1, dds.ndim)
self.assertEqual(3, dds.shape[0])
self.assertEqual(2., dds[0])
dds = np.full((2, 3), 2, dtype=np.float)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(2, dds.ndim)
self.assertEqual(2, dds.shape[0])
self.assertEqual(3, dds.shape[1])
self.assertEqual(2., dds[0, 0])
dds = np.full_like(dds, 2, dtype=np.float)
if isjava:
self.assertEqual(1, dds.dtype.elements)
self.assertEqual(np.float64, dds.dtype)
self.assertEqual(2, dds.ndim)
self.assertEqual(2, dds.shape[0])
self.assertEqual(3, dds.shape[1])
self.assertEqual(2., dds[0, 0])
dds = np.full(np.array([1, 2]), 2, dtype=np.float)
self.assertEqual((1, 2), dds.shape)
self.assertEqual(2, dds[0, 0])
dds = np.full_like(np.array([1, 2]), 2, dtype=np.float)
self.assertEqual((2, ), dds.shape)
self.assertEqual(2, dds[0])
def testTwos(self): # make new datasets with twos
print("test twos")
dds = np.full(3, 2.)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(1, dds.ndim)
self.assertEquals(3, dds.shape[0])
self.assertEquals(2., dds[0])
dds = np.full((2,3), 2.)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(2, dds.ndim)
self.assertEquals(2, dds.shape[0])
self.assertEquals(3, dds.shape[1])
self.assertEquals(2., dds[0,0])
dds = np.full_like(dds, 2.)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(2, dds.ndim)
self.assertEquals(2, dds.shape[0])
self.assertEquals(3, dds.shape[1])
self.assertEquals(2., dds[0,0])
dds = np.full(3, 2, dtype=np.float)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(1, dds.ndim)
self.assertEquals(3, dds.shape[0])
self.assertEquals(2., dds[0])
dds = np.full((2,3), 2, dtype=np.float)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(2, dds.ndim)
self.assertEquals(2, dds.shape[0])
self.assertEquals(3, dds.shape[1])
self.assertEquals(2., dds[0,0])
dds = np.full_like(dds, 2, dtype=np.float)
if isjava:
self.assertEquals(1, dds.dtype.elements)
self.assertEquals(np.float64, dds.dtype)
self.assertEquals(2, dds.ndim)
self.assertEquals(2, dds.shape[0])
self.assertEquals(3, dds.shape[1])
self.assertEquals(2., dds[0,0])
dds = np.full(np.array([1,2]), 2, dtype=np.float)
self.assertEqual((1,2), dds.shape)
self.assertEquals(2, dds[0,0])
dds = np.full_like(np.array([1,2]), 2, dtype=np.float)
self.assertEquals((2,), dds.shape)
self.assertEquals(2, dds[0])
def testHistogramdd(self):
print('Histogramdd testing')
h, (v, w) = np.histogramdd(np.column_stack(
(np.array([1, 2, 1, 0]), np.array([2, 3, 1, 3]))),
bins=[[0, 1, 2], [2, 3, 4]])
self.checkitems([[0, 1], [1, 1]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([2, 3, 4], w)
h, (v, w) = np.histogramdd(np.array([[0, 1, 2, 1], [2, 3, 1, 3]]).T,
bins=2)
self.checkitems([[0, 1], [1, 2]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([1, 2, 3], w)
h, (v, w) = np.histogramdd(np.array([[0, 1, 2, 1], [2, 3, 1, 3]]).T,
bins=2,
weights=np.full(4, 0.25))
self.checkitems([[0, 0.25], [0.25, 0.5]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([1, 2, 3], w)
h, (v, w) = np.histogramdd(np.column_stack(
(np.arange(4), np.arange(1, 5))),
bins=4,
range=[[0, 4], [1, 5]])
self.checkitems([1, 1, 1, 1],
np.array([h[i, i] for i in range(len(h))]))
self.checkitems([0, 1, 2, 3, 4], v)
self.checkitems([1, 2, 3, 4, 5], w)
def testHistogram(self):
print('Histogram testing')
h, v = np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
self.checkitems([0, 2, 1], h)
self.checkitems([0, 1, 2, 3], v)
h, v = np.histogram([0, 1, 2, 1], bins=2)
self.checkitems([1, 3], h)
self.checkitems([0, 1, 2], v)
h, v = np.histogram(np.arange(4), bins=4, range=[0,4])
self.checkitems([1, 1, 1, 1], h)
self.checkitems([0, 1, 2, 3, 4], v)
h, v = np.histogram(np.arange(4), bins=4, range=[0,4], weights=np.full(4, 0.25))
self.checkitems([0.25, 0.25, 0.25, 0.25], h)
self.checkitems([0, 1, 2, 3, 4], v)
def testHistogram(self):
print('Histogram testing')
h, v = np.histogram([1, 2, 1], bins=[0, 1, 2, 3])
self.checkitems([0, 2, 1], h)
self.checkitems([0, 1, 2, 3], v)
h, v = np.histogram([0, 1, 2, 1], bins=2)
self.checkitems([1, 3], h)
self.checkitems([0, 1, 2], v)
h, v = np.histogram(np.arange(4), bins=4, range=[0, 4])
self.checkitems([1, 1, 1, 1], h)
self.checkitems([0, 1, 2, 3, 4], v)
h, v = np.histogram(np.arange(4),
bins=4,
range=[0, 4],
weights=np.full(4, 0.25))
self.checkitems([0.25, 0.25, 0.25, 0.25], h)
self.checkitems([0, 1, 2, 3, 4], v)
def testHistogram2d(self):
print('Histogram2d testing')
h, v, w = np.histogram2d([1, 2, 1, 0], [2, 3, 1, 3], bins=[[0, 1, 2], [2, 3, 4]])
self.checkitems([[0, 1], [1, 1]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([2, 3, 4], w)
h, v, w = np.histogram2d([0, 1, 2, 1], [2, 3, 1, 3], bins=2)
self.checkitems([[0, 1], [1, 2]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([1, 2, 3], w)
h, v, w = np.histogram2d([0, 1, 2, 1], [2, 3, 1, 3], bins=2, weights=np.full(4, 0.25))
self.checkitems([[0, 0.25], [0.25, 0.5]], h)
self.checkitems([0, 1, 2], v)
self.checkitems([1, 2, 3], w)
h, v, w = np.histogram2d(np.arange(4), np.arange(1,5), bins=4, range=[[0,4], [1,5]])
self.checkitems([1, 1, 1, 1], np.array([h[i,i] for i in range(len(h))]))
self.checkitems([0, 1, 2, 3, 4], v)
self.checkitems([1, 2, 3, 4, 5], w)