def test_histogram_range(bin_type, N=1000, rseed=0):
# Regression test for #8010
rng = np.random.RandomState(rseed)
x = rng.randn(N)
range = (0.1, 0.8)
bins = calculate_bin_edges(x, bin_type, range=range)
assert bins.max() == range[1]
assert bins.min() == range[0]
def test_histogram_range_with_bins_list(N=1000, rseed=0):
# The expected result when the input bins is a list is
# the same list on output.
rng = np.random.RandomState(rseed)
x = rng.randn(N)
range = (0.1, 0.8)
input_bins = np.linspace(-5, 5, 31)
bins = calculate_bin_edges(x, input_bins, range=range)
assert all(bins == input_bins)
def test_histogram_range(bin_type, N=1000, rseed=0):
# Regression test for #8010
rng = np.random.RandomState(rseed)
x = rng.randn(N)
range = (0.1, 0.8)
# Warning is emitted for blocks
with warnings.catch_warnings():
warnings.filterwarnings('ignore',
message=r'.*p0 does not seem to accurate.*',
category=AstropyUserWarning)
bins = calculate_bin_edges(x, bin_type, range=range)
assert bins.max() == range[1]
assert bins.min() == range[0]