Python numpy.polydiv() Examples

The following are 30 code examples for showing how to use numpy.polydiv(). 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: recruit   Author: Frank-qlu   File: test_polynomial.py    License: Apache License 2.0 6 votes vote down vote up 
def test_poly1d_math(self):
        # here we use some simple coeffs to make calculations easier
        p = np.poly1d([1., 2, 4])
        q = np.poly1d([4., 2, 1])
        assert_equal(p/q, (np.poly1d([0.25]), np.poly1d([1.5, 3.75])))
        assert_equal(p.integ(), np.poly1d([1/3, 1., 4., 0.]))
        assert_equal(p.integ(1), np.poly1d([1/3, 1., 4., 0.]))

        p = np.poly1d([1., 2, 3])
        q = np.poly1d([3., 2, 1])
        assert_equal(p * q, np.poly1d([3., 8., 14., 8., 3.]))
        assert_equal(p + q, np.poly1d([4., 4., 4.]))
        assert_equal(p - q, np.poly1d([-2., 0., 2.]))
        assert_equal(p ** 4, np.poly1d([1., 8., 36., 104., 214., 312., 324., 216., 81.]))
        assert_equal(p(q), np.poly1d([9., 12., 16., 8., 6.]))
        assert_equal(q(p), np.poly1d([3., 12., 32., 40., 34.]))
        assert_equal(p.deriv(), np.poly1d([2., 2.]))
        assert_equal(p.deriv(2), np.poly1d([2.]))
        assert_equal(np.polydiv(np.poly1d([1, 0, -1]), np.poly1d([1, 1])),
                     (np.poly1d([1., -1.]), np.poly1d([0.])))
Example 2
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_polynomial.py    License: MIT License 6 votes vote down vote up 
def test_poly1d_math(self):
        # here we use some simple coeffs to make calculations easier
        p = np.poly1d([1., 2, 4])
        q = np.poly1d([4., 2, 1])
        assert_equal(p/q, (np.poly1d([0.25]), np.poly1d([1.5, 3.75])))
        assert_equal(p.integ(), np.poly1d([1/3, 1., 4., 0.]))
        assert_equal(p.integ(1), np.poly1d([1/3, 1., 4., 0.]))

        p = np.poly1d([1., 2, 3])
        q = np.poly1d([3., 2, 1])
        assert_equal(p * q, np.poly1d([3., 8., 14., 8., 3.]))
        assert_equal(p + q, np.poly1d([4., 4., 4.]))
        assert_equal(p - q, np.poly1d([-2., 0., 2.]))
        assert_equal(p ** 4, np.poly1d([1., 8., 36., 104., 214., 312., 324., 216., 81.]))
        assert_equal(p(q), np.poly1d([9., 12., 16., 8., 6.]))
        assert_equal(q(p), np.poly1d([3., 12., 32., 40., 34.]))
        assert_equal(p.deriv(), np.poly1d([2., 2.]))
        assert_equal(p.deriv(2), np.poly1d([2.]))
        assert_equal(np.polydiv(np.poly1d([1, 0, -1]), np.poly1d([1, 1])),
                     (np.poly1d([1., -1.]), np.poly1d([0.])))
Example 3
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_polynomial.py    License: Apache License 2.0 6 votes vote down vote up 
def test_poly1d_math(self):
        # here we use some simple coeffs to make calculations easier
        p = np.poly1d([1., 2, 4])
        q = np.poly1d([4., 2, 1])
        assert_equal(p/q, (np.poly1d([0.25]), np.poly1d([1.5, 3.75])))
        assert_equal(p.integ(), np.poly1d([1/3, 1., 4., 0.]))
        assert_equal(p.integ(1), np.poly1d([1/3, 1., 4., 0.]))

        p = np.poly1d([1., 2, 3])
        q = np.poly1d([3., 2, 1])
        assert_equal(p * q, np.poly1d([3., 8., 14., 8., 3.]))
        assert_equal(p + q, np.poly1d([4., 4., 4.]))
        assert_equal(p - q, np.poly1d([-2., 0., 2.]))
        assert_equal(p ** 4, np.poly1d([1., 8., 36., 104., 214., 312., 324., 216., 81.]))
        assert_equal(p(q), np.poly1d([9., 12., 16., 8., 6.]))
        assert_equal(q(p), np.poly1d([3., 12., 32., 40., 34.]))
        assert_equal(p.deriv(), np.poly1d([2., 2.]))
        assert_equal(p.deriv(2), np.poly1d([2.]))
        assert_equal(np.polydiv(np.poly1d([1, 0, -1]), np.poly1d([1, 1])),
                     (np.poly1d([1., -1.]), np.poly1d([0.])))
Example 4
Project: coffeegrindsize   Author: jgagneastro   File: test_polynomial.py    License: MIT License 6 votes vote down vote up 
def test_poly1d_math(self):
        # here we use some simple coeffs to make calculations easier
        p = np.poly1d([1., 2, 4])
        q = np.poly1d([4., 2, 1])
        assert_equal(p/q, (np.poly1d([0.25]), np.poly1d([1.5, 3.75])))
        assert_equal(p.integ(), np.poly1d([1/3, 1., 4., 0.]))
        assert_equal(p.integ(1), np.poly1d([1/3, 1., 4., 0.]))

        p = np.poly1d([1., 2, 3])
        q = np.poly1d([3., 2, 1])
        assert_equal(p * q, np.poly1d([3., 8., 14., 8., 3.]))
        assert_equal(p + q, np.poly1d([4., 4., 4.]))
        assert_equal(p - q, np.poly1d([-2., 0., 2.]))
        assert_equal(p ** 4, np.poly1d([1., 8., 36., 104., 214., 312., 324., 216., 81.]))
        assert_equal(p(q), np.poly1d([9., 12., 16., 8., 6.]))
        assert_equal(q(p), np.poly1d([3., 12., 32., 40., 34.]))
        assert_equal(p.deriv(), np.poly1d([2., 2.]))
        assert_equal(p.deriv(2), np.poly1d([2.]))
        assert_equal(np.polydiv(np.poly1d([1, 0, -1]), np.poly1d([1, 1])),
                     (np.poly1d([1., -1.]), np.poly1d([0.])))
Example 5
Project: recruit   Author: Frank-qlu   File: test_polynomial.py    License: Apache License 2.0 5 votes vote down vote up 
def test_polydiv(self):
        b = np.poly1d([2, 6, 6, 1])
        a = np.poly1d([-1j, (1+2j), -(2+1j), 1])
        q, r = np.polydiv(b, a)
        assert_equal(q.coeffs.dtype, np.complex128)
        assert_equal(r.coeffs.dtype, np.complex128)
        assert_equal(q*a + r, b)
Example 6
Project: recruit   Author: Frank-qlu   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 7
Project: recruit   Author: Frank-qlu   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 8
Project: lambda-packs   Author: ryfeus   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self, level=rlevel):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 9
Project: lambda-packs   Author: ryfeus   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=np.complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=np.int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.float, msg)
Example 10
Project: auto-alt-text-lambda-api   Author: abhisuri97   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self, level=rlevel):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 11
Project: auto-alt-text-lambda-api   Author: abhisuri97   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=np.complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=np.int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.float, msg)
Example 12
Project: vnpy_crypto   Author: birforce   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 13
Project: vnpy_crypto   Author: birforce   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 14
Project: Computable   Author: ktraunmueller   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self, level=rlevel):
        """Ticket #553"""
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 15
Project: Computable   Author: ktraunmueller   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self) :
        """Make polydiv work for complex types"""
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=np.complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=np.int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.float, msg)
Example 16
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_polynomial.py    License: MIT License 5 votes vote down vote up 
def test_polydiv(self):
        b = np.poly1d([2, 6, 6, 1])
        a = np.poly1d([-1j, (1+2j), -(2+1j), 1])
        q, r = np.polydiv(b, a)
        assert_equal(q.coeffs.dtype, np.complex128)
        assert_equal(r.coeffs.dtype, np.complex128)
        assert_equal(q*a + r, b)
Example 17
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 18
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 19
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_polynomial.py    License: MIT License 5 votes vote down vote up 
def test_polydiv(self):
        b = np.poly1d([2, 6, 6, 1])
        a = np.poly1d([-1j, (1+2j), -(2+1j), 1])
        q, r = np.polydiv(b, a)
        assert_equal(q.coeffs.dtype, np.complex128)
        assert_equal(r.coeffs.dtype, np.complex128)
        assert_equal(q*a + r, b)
Example 20
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 21
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 22
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_polynomial.py    License: Apache License 2.0 5 votes vote down vote up 
def test_polydiv(self):
        b = np.poly1d([2, 6, 6, 1])
        a = np.poly1d([-1j, (1+2j), -(2+1j), 1])
        q, r = np.polydiv(b, a)
        assert_equal(q.coeffs.dtype, np.complex128)
        assert_equal(r.coeffs.dtype, np.complex128)
        assert_equal(q*a + r, b)
Example 23
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 24
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 25
Project: pySINDy   Author: luckystarufo   File: test_polynomial.py    License: MIT License 5 votes vote down vote up 
def test_polydiv(self):
        b = np.poly1d([2, 6, 6, 1])
        a = np.poly1d([-1j, (1+2j), -(2+1j), 1])
        q, r = np.polydiv(b, a)
        assert_equal(q.coeffs.dtype, np.complex128)
        assert_equal(r.coeffs.dtype, np.complex128)
        assert_equal(q*a + r, b)
Example 26
Project: pySINDy   Author: luckystarufo   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 27
Project: pySINDy   Author: luckystarufo   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == float, msg)
Example 28
Project: mxnet-lambda   Author: awslabs   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_poly_div(self, level=rlevel):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)
Example 29
Project: mxnet-lambda   Author: awslabs   File: test_regression.py    License: Apache License 2.0 5 votes vote down vote up 
def test_polydiv_type(self):
        # Make polydiv work for complex types
        msg = "Wrong type, should be complex"
        x = np.ones(3, dtype=np.complex)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.complex, msg)
        msg = "Wrong type, should be float"
        x = np.ones(3, dtype=np.int)
        q, r = np.polydiv(x, x)
        assert_(q.dtype == np.float, msg)
Example 30
Project: ImageFusion   Author: pfchai   File: test_regression.py    License: MIT License 5 votes vote down vote up 
def test_poly_div(self, level=rlevel):
        # Ticket #553
        u = np.poly1d([1, 2, 3])
        v = np.poly1d([1, 2, 3, 4, 5])
        q, r = np.polydiv(u, v)
        assert_equal(q*v + r, u)