Python numpy.nancumsum() Examples

The following are 30 code examples for showing how to use numpy.nancumsum(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

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Example 1
Project: mars   Author: mars-project   File: test_reduction_execute.py    License: Apache License 2.0 6 votes vote down vote up 
def testNanCumReduction(self):
        raw = np.random.randint(5, size=(8, 8, 8))
        raw[:2, 2:4, 4:6] = np.nan

        arr = tensor(raw, chunk_size=3)

        res1 = self.executor.execute_tensor(nancumsum(arr, axis=1), concat=True)
        res2 = self.executor.execute_tensor(nancumprod(arr, axis=1), concat=True)
        expected1 = np.nancumsum(raw, axis=1)
        expected2 = np.nancumprod(raw, axis=1)
        np.testing.assert_array_equal(res1[0], expected1)
        np.testing.assert_array_equal(res2[0], expected2)

        raw = sps.random(8, 8, density=.1, format='lil')
        raw[:2, 2:4] = np.nan

        arr = tensor(raw, chunk_size=3)

        res1 = self.executor.execute_tensor(nancumsum(arr, axis=1), concat=True)[0]
        res2 = self.executor.execute_tensor(nancumprod(arr, axis=1), concat=True)[0]
        expected1 = np.nancumsum(raw.A, axis=1)
        expected2 = np.nancumprod(raw.A, axis=1)
        self.assertTrue(np.allclose(res1, expected1))
        self.assertTrue(np.allclose(res2, expected2))
Example 2
Project: recruit   Author: Frank-qlu   File: test_interaction.py    License: Apache License 2.0 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 3
Project: recruit   Author: Frank-qlu   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 4
Project: recruit   Author: Frank-qlu   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 5
Project: lambda-packs   Author: ryfeus   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 6
Project: lambda-packs   Author: ryfeus   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 7
Project: vnpy_crypto   Author: birforce   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 8
Project: vnpy_crypto   Author: birforce   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 9
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_interaction.py    License: MIT License 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 10
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 11
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 12
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_interaction.py    License: MIT License 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 13
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 14
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 15
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_interaction.py    License: Apache License 2.0 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 16
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 17
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 18
Project: pySINDy   Author: luckystarufo   File: test_interaction.py    License: MIT License 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 19
Project: pySINDy   Author: luckystarufo   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 20
Project: pySINDy   Author: luckystarufo   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 21
Project: mxnet-lambda   Author: awslabs   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 22
Project: mxnet-lambda   Author: awslabs   File: test_nanfunctions.py    License: Apache License 2.0 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 23
Project: sdc   Author: IntelPython   File: test_sdc_numpy.py    License: BSD 2-Clause "Simplified" License 5 votes vote down vote up 
def test_nancumsum(self):
        def ref_impl(a):
            return np.nancumsum(a)

        def sdc_impl(a):
            return numpy_like.nancumsum(a)

        self.check_reduction_basic(ref_impl, sdc_impl)
Example 24
Project: elasticintel   Author: securityclippy   File: test_nanfunctions.py    License: GNU General Public License v3.0 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 25
Project: elasticintel   Author: securityclippy   File: test_nanfunctions.py    License: GNU General Public License v3.0 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 26
Project: coffeegrindsize   Author: jgagneastro   File: test_interaction.py    License: MIT License 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))
Example 27
Project: coffeegrindsize   Author: jgagneastro   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_nancumsum(self):
        tgt = np.cumsum(self.mat)
        for mat in self.integer_arrays():
            assert_equal(np.nancumsum(mat), tgt)
Example 28
Project: coffeegrindsize   Author: jgagneastro   File: test_nanfunctions.py    License: MIT License 5 votes vote down vote up 
def test_result_values(self):
        for axis in (-2, -1, 0, 1, None):
            tgt = np.cumprod(_ndat_ones, axis=axis)
            res = np.nancumprod(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
            tgt = np.cumsum(_ndat_zeros,axis=axis)
            res = np.nancumsum(_ndat, axis=axis)
            assert_almost_equal(res, tgt)
Example 29
Project: Carnets   Author: holzschu   File: test_quantity_non_ufuncs.py    License: BSD 3-Clause "New" or "Revised" License 5 votes vote down vote up 
def test_nancumsum(self):
        self.check(np.nancumsum)
Example 30
Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda   Author: PacktPublishing   File: test_interaction.py    License: MIT License 5 votes vote down vote up 
def test_nanfunctions_matrices_general():
    # Check that it works and that type and
    # shape are preserved
    # 2018-04-29: moved here from core.tests.test_nanfunctions
    mat = np.matrix(np.eye(3))
    for f in (np.nanargmin, np.nanargmax, np.nansum, np.nanprod,
              np.nanmean, np.nanvar, np.nanstd):
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 1))
        res = f(mat)
        assert_(np.isscalar(res))

    for f in np.nancumsum, np.nancumprod:
        res = f(mat, axis=0)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat, axis=1)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (3, 3))
        res = f(mat)
        assert_(isinstance(res, np.matrix))
        assert_(res.shape == (1, 3*3))