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- numpy.finfo
...NumPy reference Routines and objects by topic Data type routines numpy.finfo...
- numpy.finfo.tiny
...numpy.finfo.tiny...
- numpy.finfo (Python class, in numpy.finfo)
- Data types
...means Python integers may expand to accommodate any integer and will not overflow. NumPy provides numpy.iinfo and numpy.finfo to verify the minimum or maximum values of NumPy integer and floating point values respectively >>> np.iinfo(int)...
- NumPy 1.12.0 Release Notes
...can now take pathlib.Path objects as an argument instead of a filename or open file object. New bits attribute for np.finfo This makes np.finfo consistent with np.iinfo which already has that attribute. New signature argument to np.vect...
- NumPy 1.13.0 Release Notes
...tly faster for contiguous data. Fix for PPC long double floating point information In previous versions of NumPy, the finfo function returned invalid information about the double double format of the longdouble float type on Power PC (PPC...
- NumPy 1.22.0 Release Notes
...This behavior has now been deprecated. (gh-20000) The np.MachAr class has been deprecated The numpy.MachAr class and finfo.machar <numpy.finfo> attribute have been deprecated. Users are encouraged to access the property if interest direc...
- NumPy 1.25.0 Release Notes
...is deprecated. It is private API. In names defined in np.core should generally be considered private. (gh-22638) np.finfo(None) is deprecated. (gh-23011) np.round_ is deprecated. Use np.round instead. (gh-23302) np.product is deprecat...
- NumPy for MATLAB users
...) create an if-else statement to check if a is 4 or 5 and print result 1*i, 1*j, 1i, 1j 1j complex numbers eps np.finfo(float).eps or np.spacing(1) distance from 1 to the next larger representable real number in double precision load...
- numpy.finfo
...NumPy reference Routines and objects by topic Data type routines numpy.finfo...
- numpy.finfo.smallest_normal
...numpy.finfo.smallest_normal...
- numpy.finfo.tiny
...numpy.finfo.tiny...
- numpy.iinfo
...meters: int_typeinteger type, dtype, or instanceThe kind of integer data type to get information about. See also finfoThe equivalent for floating point data types. Examples With types: >>> import numpy as np >>> ii16 = np.iinfo(np...
- numpy.linalg.matrix_rank
...ble. For example, elsewhere in the 2007 edition of Numerical recipes there is an alternative threshold of S.max() * np.finfo(A.dtype).eps / 2. * np.sqrt(m + n + 1.). The authors describe this threshold as being based on “expected roundoff...
- numpy.nextafter
...n the direction of x2. This is a scalar if both x1 and x2 are scalars. Examples >>> import numpy as np >>> eps = np.finfo(np.float64).eps >>> np.nextafter(1, 2) == eps + 1 True >>> np.nextafter([1, 2], [2, 1]) == [eps + 1, 2 - eps] arra...
- numpy.real_if_close
...data types but Python floats on most platforms have a machine epsilon equal to 2.2204460492503131e-16. You can use ‘np.finfo(float).eps’ to print out the machine epsilon for floats. Examples >>> import numpy as np >>> np.finfo(float).eps 2...
- numpy.set_printoptions
...eshold=5) >>> np.arange(10) array([0, 1, 2, ..., 7, 8, 9], shape=(10,)) Small results can be suppressed: >>> eps = np.finfo(float).eps >>> x = np.arange(4.) >>> x**2 - (x + eps)**2 array([-4.9304e-32, -4.4409e-16, 0.0000e+00, 0.0000e+00...
- numpy.spacing
...s is a scalar if x is a scalar. Notes It can be considered as a generalization of EPS: spacing(np.float64(1)) == np.finfo(np.float64).eps, and there should not be any representable number between x + spacing(x) and x for any finite x. S...
- numpy.testing.assert_array_almost_equal_nulp
...met: abs(x - y) <= nulp * spacing(maximum(abs(x), abs(y))) Examples >>> x = np.array([1., 1e-10, 1e-20]) >>> eps = np.finfo(x.dtype).eps >>> np.testing.assert_array_almost_equal_nulp(x, x*eps/2 + x) >>> np.testing.assert_array_almost_eq...
- Testing guidelines
...)).astype(dtype) b = np.random.random(size=dimensionality).astype(dtype) x = np.linalg.solve(A, b) eps = np.finfo(dtype).eps assert_allclose(A @ x, b, rtol=eps*1e2, atol=0) assert x.dtype == np.dtype(dtype) Doctests...
- numpy.finfo.smallest_normal (Python property, in numpy.finfo.smallest_normal)
- numpy.finfo.tiny (Python property, in numpy.finfo.tiny)