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| author | Andrew <andrewgsavage@gmail.com> | 2022-10-15 02:05:25 +0100 |
|---|---|---|
| committer | Andrew <andrewgsavage@gmail.com> | 2022-10-15 02:05:25 +0100 |
| commit | 93958b932bb85be440582e66150964c05b2dd460 (patch) | |
| tree | 02653d968f12fe6dfdb06fa6b6cd8334582340fb /pint | |
| parent | 208d36a5bb051465296dad846296bb19628e2307 (diff) | |
| download | pint-93958b932bb85be440582e66150964c05b2dd460.tar.gz | |
broadcast_arrays
Diffstat (limited to 'pint')
| -rw-r--r-- | pint/facets/numpy/numpy_func.py | 9 | ||||
| -rw-r--r-- | pint/testsuite/test_numpy.py | 15 |
2 files changed, 22 insertions, 2 deletions
diff --git a/pint/facets/numpy/numpy_func.py b/pint/facets/numpy/numpy_func.py index 7143143..cb80914 100644 --- a/pint/facets/numpy/numpy_func.py +++ b/pint/facets/numpy/numpy_func.py @@ -877,7 +877,14 @@ for func_str in ["cumprod", "cumproduct", "nancumprod"]: implement_single_dimensionless_argument_func(func_str) # Handle single-argument consistent unit functions -for func_str in ["block", "hstack", "vstack", "dstack", "column_stack"]: +for func_str in [ + "block", + "hstack", + "vstack", + "dstack", + "column_stack", + "broadcast_arrays", +]: implement_func( "function", func_str, input_units="all_consistent", output_unit="match_input" ) diff --git a/pint/testsuite/test_numpy.py b/pint/testsuite/test_numpy.py index f2ddaf0..a6b47f4 100644 --- a/pint/testsuite/test_numpy.py +++ b/pint/testsuite/test_numpy.py @@ -82,7 +82,7 @@ class TestNumpyArrayManipulation(TestNumpyMethods): # TODO # https://www.numpy.org/devdocs/reference/routines.array-manipulation.html # copyto - # broadcast , broadcast_arrays + # broadcast # asarray asanyarray asmatrix asfarray asfortranarray ascontiguousarray asarray_chkfinite asscalar require # Changing array shape @@ -271,6 +271,19 @@ class TestNumpyArrayManipulation(TestNumpyMethods): def test_item(self): helpers.assert_quantity_equal(self.Q_([[0]], "m").item(), 0 * self.ureg.m) + def test_broadcast_arrays(self): + x = self.Q_(np.array([[1, 2, 3]]), "m") + y = self.Q_(np.array([[4], [5]]), "nm") + result = np.broadcast_arrays(x, y) + expected = self.Q_( + [ + [[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]], + [[4e-09, 4e-09, 4e-09], [5e-09, 5e-09, 5e-09]], + ], + "m", + ) + helpers.assert_quantity_equal(result, expected) + class TestNumpyMathematicalFunctions(TestNumpyMethods): # https://www.numpy.org/devdocs/reference/routines.math.html |