PhysicsNum
Physics Numerical methods applied and used during the bachlelor degree in Physics at Lund University. Most notbly is the numerical approximation methods and similar. The code regression works upon least square methods, and weighted least square methods and have been verified. If an issue occurs when using this package, contact via GitHub for a fast solution.
Code
xlist1 = np.array([1,2,3,4,5,6,7,8,9,10])
ylist1 = np.array([4,6,9,10,12,14,16,18,20,21])
Model = ForceLinearreg(xlist1, ylist1)
print(Model)
plt.plot(xlist1, ylist1, '.', label = "DATA")
plt.plot(xlist1, xlist1 * Model[0], '-', label = "Regression")
plt.legend()
plt.show()
This is a small indication of PhysicsNum.ForceLinearreg, where PhysicsNum.Linearreg is written in the same way.
Contribute
Feel free to contribute to this code, it is found on Github under the authors name.
Release files for PhysicsNum 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 | |
|---|---|---|---|
| PhysicsNum-0.1.1.tar.gz | 6.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PhysicsNum-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.1 kB
Release files / PhysicsNum-0.1.1.tar.gz
| Download URL | PhysicsNum-0.1.1.tar.gz |
|---|---|
| Size | 6.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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Release files / PhysicsNum-0.1.1-py3-none-any.whl
| Download URL | PhysicsNum-0.1.1-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
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