Fitting and Weighted Average Functions for Physics 201/202
Project description
Functions for use in Physics 201/202 at Christopher Newport University
Required packages
Numpy, Matplotlib, Scipy, Sklearn
Functions
This module contains the following functions:
constant_fit_plot()
constant_fit_plot_errors()
linear_fit_plot()
linear_fit_plot_errors()
quadratic_fit_plot()
quadratic_fit_plot_errors()
weighted_average()
set_dark_mode()
More information on each of these functions are included in their function-specific docstrings, for example:
import P201_Functions as p201
print (p201.linear_fit_plot_errors.__doc__)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
P201_Functions-0.6.tar.gz
(4.1 kB
view details)
File details
Details for the file P201_Functions-0.6.tar.gz.
File metadata
- Download URL: P201_Functions-0.6.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
42d8b4a8c499853112b7ba836a40892f5f38a429a4cc4f65a5909a2a3487ff3f
|
|
| MD5 |
15f7904e8fee3b595b20a1ab3fce46d4
|
|
| BLAKE2b-256 |
7ef5ca5d4820136117546d36b5fde60a1dcc7000a270a281a252bf2862d6a5ca
|