def test_bin_sizes(self):
data1 = np.random.rand(100)
data2 = np.random.rand(100)
data3 = np.random.rand(100)
data = np.array([data1, data2, data3]).T
h = physt.histogramdd(data, [10, 11, 12])
assert h.bin_sizes.shape == (10, 11, 12)
def test_creation(self):
data1 = np.random.rand(100)
data2 = np.random.rand(100)
data3 = np.random.rand(100)
data = np.array([data1, data2, data3]).T
h = physt.histogramdd(data)
assert h.ndim == 3
def test_3_to_2(self):
data = np.random.rand(100, 3)
h = physt.histogramdd(data, (4, 5, 6), axis_names=["1", "2", "3"])
h2 = h.projection(1, 2)
assert isinstance(h2, Histogram2D)
assert h2.total == h.total
assert h2.axis_names == ("2", "3")
assert h2.shape == h2.frequencies.shape
assert h2.shape == (5, 6)
def test_copy(self):
data1 = np.random.rand(100)
data2 = np.random.rand(100)
data3 = np.random.rand(100)
data = np.array([data1, data2, data3]).T
h = physt.histogramdd(data)
print(h._binnings)
h2 = h.copy()
assert h == h2
assert np.array_equal(h.bins, h2.bins)
def test_projection_by_name(self):
data = np.random.rand(100, 4)
h = physt.histogramdd(data, (4, 5, 6, 7),
axis_names=["1", "2", "3", "4"])
h3 = h.projection("2", "3", "4")
assert h3.ndim == 3
assert isinstance(h3, HistogramND)
assert h3.total == h.total
assert h3.axis_names == ("2", "3", "4")
assert h3.frequencies.shape == (5, 6, 7)
assert h3.shape == (5, 6, 7)
def test_invalid(self):
data = np.random.rand(100, 4)
h = physt.histogramdd(data, (4, 5, 6, 7),
axis_names=["1", "2", "3", "4"])
with pytest.raises(RuntimeError):
h.projection("1", "1")
with pytest.raises(RuntimeError):
h.projection("0", "1")
with pytest.raises(RuntimeError):
h.projection("1", "2", "3", "4", "5")
with pytest.raises(RuntimeError):
h.projection()
def test_create_empty(self):
h = histogramdd(None, "fixed_width", 10, dim=7, adaptive=True)
assert h.ndim == 7
assert h.is_adaptive()
def test_create_empty(self):
h = histogramdd(None, "fixed_width", 10, dim=7, adaptive=True)
assert h.ndim == 7
assert h.is_adaptive()