Deconvoluted
Deconvoluted makes performing numerical integral transforms simple and pythonic!
Free software: MIT license
Documentation: https://deconvoluted.readthedocs.io.
Features
Fourier Transforms
As a first example, let’s perform a Fourier transform:
t = np.linspace(0, 10, 201)
f = np.sin(3 * 2 * np.pi * t)
F, nu = fourier_transform(f, t)By default, Fourier transforms use Fourier coefficients a=0, b=-2pi. Using another convention is simple:
F, omega = fourier_transform(f, t, convention=(-1, 1))As a physicist myself, I therefore switch the labelling of the output from nu for frequency, to omega for angular frequency.
Performing multidimensional transforms is just as easy. For example:
F_pq, p, q = fourier_transform(f_xy, x, y)transforms both x and y at the same time. Transforming only one of the two variables can be done simply by setting those that shouldn’t transform to None:
F_py, p = fourier_transform(f_xy, x, None)
F_xq, q = fourier_transform(f_xy, None, y)See the documentation for more examples!
History
0.1.1 (2019-06-05)
Implemented support for different FT conventions.
0.1.0 (2019-06-03)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for deconvoluted 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| deconvoluted-0.1.1.tar.gz | 11.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deconvoluted-0.1.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 17.0 kB
Release files / deconvoluted-0.1.1.tar.gz
| Download URL | deconvoluted-0.1.1.tar.gz |
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| Size | 11.5 kB |
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Release files / deconvoluted-0.1.1-py2.py3-none-any.whl
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| Size | 5.5 kB |
| Tags | Python 2 Python 3 |
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