def merge_constructed_data_test(self):
x1data = np.r_[0:4, 3:6] # [0, 1, 2, 3, 3, 4, 5]
x2data = np.r_[0:3, 2:6] + 0.5 # [0.5, 1.5, 2.5, 2.5, 3.5, 4.5, 5.5]
# We don't care what the y's or e's are, so make them the same as the x's
data1 = np.c_[x1data, x1data, x1data] # xye dataset 1
data2 = np.c_[x2data, x2data, x2data] # xye dataset 2
merged = processing.combine_by_merge(data1, data2)
self.assertTrue(merged.shape == (12, 3))
def merge_constructed_data_test(self):
x1data = np.r_[0:4, 3:6] # [0, 1, 2, 3, 3, 4, 5]
x2data = np.r_[0:3, 2:6] + 0.5 # [0.5, 1.5, 2.5, 2.5, 3.5, 4.5, 5.5]
# We don't care what the y's or e's are, so make them the same as the x's
data1 = np.c_[x1data,x1data,x1data] # xye dataset 1
data2 = np.c_[x2data,x2data,x2data] # xye dataset 2
merged = processing.combine_by_merge(data1, data2)
self.assertTrue(merged.shape==(12,3))
def merge_overlapping_ranges_test(self):
x1data = np.r_[0:3] # [0, 1, 2]
x2data = np.r_[1:4] + 0.5 # [1.5, 2.5, 3.5]
# We don't care what the y's or e's are, so make them the same as the x's
data1 = np.c_[x1data, x1data, x1data] # xye dataset 1
data2 = np.c_[x2data, x2data, x2data] # xye dataset 2
merged = processing.combine_by_merge(data1, data2)
self.assertTrue(merged.shape == (6, 3))
self.assertTrue(
np.allclose(merged[:, 0], np.r_[0., 1., 1.5, 2., 2.5, 3.5]))
def merge_overlapping_ranges_test(self):
x1data = np.r_[0:3] # [0, 1, 2]
x2data = np.r_[1:4] + 0.5 # [1.5, 2.5, 3.5]
# We don't care what the y's or e's are, so make them the same as the x's
data1 = np.c_[x1data,x1data,x1data] # xye dataset 1
data2 = np.c_[x2data,x2data,x2data] # xye dataset 2
merged = processing.combine_by_merge(data1, data2)
self.assertTrue(merged.shape==(6,3))
self.assertTrue(np.allclose(merged[:,0],
np.r_[0., 1., 1.5, 2., 2.5, 3.5]))
