Metadata-Version: 2.1
Name: ttlab
Version: 0.44.47
Summary: Physics lab equipment analysis software
Home-page: UNKNOWN
Author: Christopher Tiburski and Johan Tenghamn
Author-email: info@ttlab.se
License: MIT
Description: ![](https://bytebucket.org/tt-lab/ttlab/raw/07af7e037611c6d2b47aef425bc7e078519c04ce/assets/header.png?token=9425964a76732a6a54d81fb58935ae6dc8acbfa4)
        #!/usr/bin/python
        
        # TT - lab
        ___
        Easy to use import scripts for the most common physics equipments such as XPS, mass spectrometer, light spectrometers.
        Functions for the most typical analysis procedures. 
        
        ## Installation
        ```
        pip install ttlab
        ```
        
        ## How to use
        For full explanation, see the documentation at 'link'.
        
        Example with mass spectrometer data:
        ```
        
        from ttlab import MassSpectrometer
        
        # Create a mass spec object
        filename = 'path/filename.asc'
        MS = MassSpectrometer(filename)
        
        # Check what gases are included in the data
        print(MS.get_gases())
        # Plot one of the gases, using matploltlib, returns the axes
        ax = MS.plot_gas('Ar')
        
        # Get the ion current and the relative time for the gas, returns np arrays with the data
        ion_current_argon = MS.get_ion_current('Ar')
        time_relative = MS.get_relative_time('Ar')
        ```
        ## Want to contibute?
        
        With money? Plz give it it to charity instead.
        
        With code?
        
        Contact us by mail: 
        
        Chalmers tekniska h�gskola AB 
        
         Chemical Physics
        
         TTLAB 
        
        412 96 G�teborg
        
        ## License 
        MIT license 
         Feel free to use ttlab in whatever way you want to.
Keywords: XPS Cary5000 MassSpec Mass spectrometer Light spectrometer Insplorion Physics Analysis Pfeiffer Multipak Plasmonics Activation energy X0Reactor Plasmons
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.6
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
