def test_range(self):
arr = np.arange(0, 1.00, 0.01)
hist = histogram(arr, 10, range=(0.5, 1.0))
assert hist.bin_count == 10
assert hist.bin_left_edges[0] == 0.5
assert hist.bin_right_edges[-1] == 1.0
assert hist.overflow == 0
assert hist.underflow == 50
assert hist.total == 50
hist = histogram(arr, bins=10, range=(0.5, 1.0), keep_missed=False)
assert hist.total == 50
assert np.isnan(hist.underflow)
assert np.isnan(hist.overflow)
def test_range(self):
arr = np.arange(0, 1.00, 0.01)
hist = histogram(arr, 10, range=(0.5, 1.0))
assert hist.bin_count == 10
assert hist.bin_left_edges[0] == 0.5
assert hist.bin_right_edges[-1] == 1.0
assert hist.overflow == 0
assert hist.underflow == 50
assert hist.total == 50
hist = histogram(arr, bins=10, range=(0.5, 1.0), keep_missed=False)
assert hist.total == 50
assert np.isnan(hist.underflow)
assert np.isnan(hist.overflow)
def test_edges(self):
arr = np.arange(0, 1, 0.01)
hist = histogram(arr, np.arange(0.1, 0.8001, 0.1))
assert np.allclose(hist.numpy_bins,
[0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])
assert hist.underflow == 10
assert hist.overflow == 19
def test_metadata(self):
arr = np.arange(0, 1.00, 0.01)
hist = histogram(arr,
name="name",
title="title",
axis_name="axis_name")
assert hist.name == "name"
assert hist.title == "title"
assert hist.axis_names == ("axis_name", )
def test_nbin(self):
arr = np.random.rand(100)
hist = histogram(arr, bins=15)
assert hist.bin_count == 15
assert np.isclose(hist.bin_right_edges[-1], arr.max())
assert np.isclose(hist.bin_left_edges[0], arr.min())
def make_hist(self):
self.hist = physt.histogram(self.vals, name=self.name, bins=self.bins)
self.hist.to_json(self.savedir + self.name + '.json')
def test_metadata(self):
arr = np.arange(0, 1.00, 0.01)
hist = histogram(arr, name="name", title="title", axis_name="axis_name")
assert hist.name == "name"
assert hist.title == "title"
assert hist.axis_names == ("axis_name",)
def test_edges(self):
arr = np.arange(0, 1, 0.01)
hist = histogram(arr, np.arange(0.1, 0.8001, 0.1))
assert np.allclose(hist.numpy_bins, [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])
assert hist.underflow == 10
assert hist.overflow == 19
def test_nbin(self):
arr = np.random.rand(100)
hist = histogram(arr, bins=15)
assert hist.bin_count == 15
assert np.isclose(hist.bin_right_edges[-1], arr.max())
assert np.isclose(hist.bin_left_edges[0], arr.min())
