pyIntensityFeatures.tests.test_utils_grids ========================================== .. py:module:: pyIntensityFeatures.tests.test_utils_grids .. autoapi-nested-parse:: Tests for functions in `utils.grids`. .. !! processed by numpydoc !! Classes ------- .. autoapisummary:: pyIntensityFeatures.tests.test_utils_grids.TestGridUniq pyIntensityFeatures.tests.test_utils_grids.TestGridIntensity Module Contents --------------- .. py:class:: TestGridUniq(methodName='runTest') Bases: :py:obj:`unittest.TestCase` Tests for local `unique` function. .. !! processed by numpydoc !! .. py:method:: setUp() Set up the test runs. .. !! processed by numpydoc !! .. py:method:: tearDown() Tear down the test environment. .. !! processed by numpydoc !! .. py:method:: test_unique_decimal() Test that `unique` yeilds the correct number of values. .. !! processed by numpydoc !! .. py:method:: test_unique_equal_nan() Test that `unique` allows use of `equal_nan` kwarg. .. !! processed by numpydoc !! .. py:method:: test_unique_axis() Test that `unique` allows use of `axis` kwarg. .. !! processed by numpydoc !! .. py:method:: test_unique_return_counts() Test that `unique` allows use of `return_counts` kwarg. .. !! processed by numpydoc !! .. py:method:: test_unique_return_index() Test that `unique` allows use of `return_index` kwarg. .. !! processed by numpydoc !! .. py:method:: test_unique_return_inverse() Test that `unique` allows use of `return_inverse` kwarg. .. !! processed by numpydoc !! .. py:class:: TestGridIntensity(methodName='runTest') Bases: :py:obj:`unittest.TestCase` Tests for `grid_intensity`. .. !! processed by numpydoc !! .. py:method:: setUp() Set up the test runs. .. !! processed by numpydoc !! .. py:method:: tearDown() Tear down the test environment. .. !! processed by numpydoc !! .. py:method:: eval_grid_output() Evaluate the grid output values. .. !! processed by numpydoc !! .. py:method:: test_grid_intensity_1d() Test success of gridding 1D intensity data. .. !! processed by numpydoc !! .. py:method:: test_grid_intensity_multi_dim() Test success of gridding multi-dimensional intensity data. .. !! processed by numpydoc !!