| Classes | |
| class | uncertainties.unumpy.core.CallableStdDevs | 
| Matrix class.  More... | |
| class | uncertainties.unumpy.core.matrix | 
| Namespaces | |
| uncertainties.unumpy.core | |
| Functions | |
| def | uncertainties.unumpy.core.unumpy_to_numpy_matrix | 
| def | uncertainties.unumpy.core.nominal_values | 
| Return the nominal values of the numbers in NumPy array arr.  More... | |
| def | uncertainties.unumpy.core.std_devs | 
| Return the standard deviations of the numbers in NumPy array arr.  More... | |
| def | uncertainties.unumpy.core.derivative | 
| def | uncertainties.unumpy.core.wrap_array_func | 
| def | uncertainties.unumpy.core.uarray | 
| Arrays.  More... | |
| def | uncertainties.unumpy.core.array_derivative | 
| def | uncertainties.unumpy.core.func_with_deriv_to_uncert_func | 
| def | uncertainties.unumpy.core.inv_with_derivatives | 
| Matrix inverse.  More... | |
| def | uncertainties.unumpy.core.pinv_with_derivatives | 
| Matrix pseudo-inverse.  More... | |
| def | uncertainties.unumpy.core.pinv | 
| def | uncertainties.unumpy.core.umatrix | 
| Constructs a matrix that contains numbers with uncertainties.  More... | |
| def | uncertainties.unumpy.core.define_vectorized_funcs | 
| Defines vectorized versions of functions from uncertainties.umath_core.  More... | |
| Variables | |
| list | uncertainties.unumpy.core.__all__ | 
| tuple | uncertainties.unumpy.core.to_nominal_values | 
| Utilities:  More... | |
| tuple | uncertainties.unumpy.core.to_std_devs | 
| tuple | uncertainties.unumpy.core.inv = func_with_deriv_to_uncert_func(inv_with_derivatives) | 
| list | uncertainties.unumpy.core.pinv_default = numpy.linalg.pinv.__defaults__[0] | 
| tuple | uncertainties.unumpy.core.pinv_with_uncert = func_with_deriv_to_uncert_func(pinv_with_derivatives) | 
| tuple | uncertainties.unumpy.core.pinv = uncert_core.set_doc(""" Version of numpy.linalg.pinv that works with array-like objects that contain numbers with uncertainties. The result is a unumpy.matrix if numpy.linalg.pinv would return a matrix for the array of nominal values. Analytical formulas are used. Original documentation: %s """ % numpy.linalg.pinv.__doc__) |