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- numpy.sin
...NumPy reference Routines and objects by topic Mathematical functions numpy.sin...
- numpy.sinc
...NumPy reference Routines and objects by topic Mathematical functions numpy.sinc...
- numpy.sinh
...NumPy reference Routines and objects by topic Mathematical functions numpy.sinh...
- numpy.sin (Python data, in numpy.sin)
- Data type promotion in NumPy
...romotion or finding the common dtype. In typical cases, the user does not need to worry about the details of promotion, since the promotion step usually ensures that the result will either match or exceed the precision of the input. For exa...
- Interoperability with NumPy
...mong others that add additional functionality on top of the NumPy API. Yet, users still want to work with these arrays using the familiar NumPy API and reuse existing code with minimal (ideally zero) porting overhead. With this goal in mind...
- NumPy 1.22.0 Release Notes
...bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays. Expired deprecations Deprecated numeric style dtype strings have been removed Using the string...
- NumPy 1.24 Release Notes
...For negative values, it will also work to view the array: np.array(-1, dtype=np.int8).view(np.uint8). In some cases, using np.iinfo(np.uint8).max or val % 2**8 may also work well. In rare cases input data may mix both negative values and...
- NumPy 1.24.2 Release Notes
...ng test order. #22970: BUG: Fix fill violating read-only flag. (#22959) #22971: MAINT: Add additional information to missing scalar AttributeError #22972: MAINT: Move export for scipy arm64 helper into main module #22976: BUG, SIMD: Fix spu...
- NumPy 1.3.0 Release Notes
...mes. In the signature, we specify one core dimension “(i)” for each input and zero core dimensions “()” for the output, since it takes two 1-d arrays and returns a scalar. By using the same name “i”, we specify that the two corresponding di...
- NumPy quickstart
...nd can be manipulated. In particular, if you don’t know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this article might be...
- numpy.arcsin
...NumPy reference Routines and objects by topic Mathematical functions numpy.arcsin...
- numpy.asin
...NumPy reference Routines and objects by topic Mathematical functions numpy.asin...
- numpy.exp
...m, \(e^a\), is already known (it is the real argument, described above). The second term, \(e^{ib}\), is \(\cos b + i \sin b\), a function with magnitude 1 and a periodic phase. References [1] Wikipedia, “Exponential function”, https://e...
- numpy.f2py (Python module, in Using F2PY)
- numpy.fft.fft
...e input is padded with zeros. If n is not given, the length of the input along the axis specified by axis is used. axisint, optionalAxis over which to compute the FFT. If not given, the last axis is used. norm{“backward”, “ortho”, “forw...
- numpy.fft.fftn
...(no padding/trimming). If s is not given, the shape of the input along the axes specified by axes is used. Deprecated since version 2.0: If s is not None, axes must not be None either. Deprecated since version 2.0: s must contain only i...
- numpy.interp
...erp(x, xp, fp, left=None, right=None, period=None)[source] One-dimensional linear interpolation for monotonically increasing sample points. Returns the one-dimensional piecewise linear interpolant to a function with given discrete data poin...
- numpy.lib.npyio.NpzFile
...have a .npy extension, other files are ignored. The arrays and file strings are lazily loaded on either getitem access using obj['key'] or attribute lookup using obj.f.key. A list of all files (without .npy extensions) can be obtained with...
- numpy.linalg.eigvals
...ction in SciPy. Notes Broadcasting rules apply, see the numpy.linalg documentation for details. This is implemented using the _geev LAPACK routines which compute the eigenvalues and eigenvectors of general square arrays. Examples Illustr...
- numpy.savez
...numpy.savez numpy.savez(file, *args, allow_pickle=True, **kwds)[source] Save several arrays into a single file in uncompressed .npz format. Provide arrays as keyword arguments to store them under the corresponding name...
- numpy.sin
...NumPy reference Routines and objects by topic Mathematical functions numpy.sin...
- numpy.sinc
...NumPy reference Routines and objects by topic Mathematical functions numpy.sinc...
- numpy.sinh
...NumPy reference Routines and objects by topic Mathematical functions numpy.sinh...
- numpy.tan
...e_kind', order='K', dtype=None, subok=True[, signature]) = <ufunc 'tan'> Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise. Parameters: xarray_likeInput array. outndarray, None, or tuple of ndarray and None, op...
- numpy.testing.assert_allclose
...d in the Notes section, assert_allclose has special handling for scalars. Here, the test checks that the value of numpy.sin is nearly zero at integer multiples of π. >>> x = np.arange(3) * np.pi >>> np.testing.assert_allclose(np.sin(x), 0,...
- numpy.testing.assert_array_max_ulp
...0 and 0xffc00000 is zero). Examples >>> a = np.linspace(0., 1., 100) >>> res = np.testing.assert_array_max_ulp(a, np.arcsin(np.sin(a)))...
- numpy.trapezoid
- numpy.ufunc
- NumPy: the absolute basics for beginners
...we can improve speed, reduce memory consumption, and offer a high-level syntax for performing a variety of common processing tasks. NumPy shines when there are large quantities of “homogeneous” (same-type) data to be processed on the CPU....
- npy_half_isinf (C function, in NumPy core math library)
- npy_isinf (C macro, in NumPy core math library)
- numpy.arcsin (Python data, in numpy.arcsin)
- numpy.arcsinh (Python data, in numpy.arcsinh)
- numpy.asin (Python data, in numpy.asin)
- numpy.asinh (Python data, in numpy.asinh)
- numpy.csingle (Python class, in Scalars)
- numpy.emath.arcsin (Python function, in numpy.emath.arcsin)
- numpy.isin (Python function, in numpy.isin)
- numpy.isinf (Python data, in numpy.isinf)
- numpy.isposinf (Python function, in numpy.isposinf)
- numpy.lib.scimath.arcsin (Python function, in numpy.lib.scimath.arcsin)
- numpy.ma.isin (Python function, in numpy.ma.isin)
- numpy.sinc (Python function, in numpy.sinc)
- numpy.single (Python class, in Scalars)
- numpy.sinh (Python data, in numpy.sinh)
- npy_half_isinf.h (C function parameter, in NumPy core math library)
- numpy.f2py.get_include (Python function, in Using F2PY)
- numpy.f2py.run_main (Python function, in Using F2PY)
- Subclassing ndarray
- Using the convenience classes
- Writing custom array containers