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Description:
beprof 0.1.4
beprof
Overview
docs
tests
package
Overv.io issue board: https://overv.io/DataMedSci/beprof/
Beam Profile Analysing Tools
Library provides methods to work with Beam Profiles which are sets of points
(2-D with optional metadata) sorted by one of coordinates.
cd
beprof is based on nparray class from numpy, and it provides
numerous tools for different computations and data analysis.
Installation
Current version available on testing PyPi server, although once a
stable version is ready it will be pushed to official PyPi repo.
For now, installation can be done from this GIT repository, using:
pip install setuptools versioneer
pip install git+https://github.com/DataMedSci/beprof.git
To unistall, simply use:
pip uninstall beprof
Documentation
https://beprof.readthedocs.io/
Features
Once you install beprof, you should be able to import is as a python module
Using ipython the code would be i.e.:
import beprof
from beprof import curve #imports curve module
from beprof import profile #imports profile module
Once you import necessary modules, you can use them to work with i.e. profiles:
from beprof import profile
dir(profile)
p = profile.Profile([[0, 1], [1, -1], [2, 3], [4, 0]])
print(p)
You can also use another modules as numpy or matplotlib to work with beprof:
#assuming you already defined p as above
import numpy as np
import matplotlib.pyplot as plt
foo = np.asarray(p)
print(foo.shape())
plt.plot(foo[:,0], foo[:,1])
plt.show()
Note that beprof is a library and end-users shouldn’t “run it”.
It is also strongly discouraged to use git clone to download code.
Git is only for developers, end-users should use pip installation.
If you are interested in development - have a look at CONTRIBUTING section.
Credits
This package was created with Cookiecutter and the grzanka/cookiecutter-pip-docker-versioneer project template.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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