Metadata-Version: 2.1
Name: tab2latex
Version: 0.1.4
Summary: A small Python package that puts your numpy arrays into latex files using the table/longtable environment
Home-page: https://github.com/Julian-Hochhaus/py_modules/tree/master/modules/tab2latex
Author: Julian Hochhaus
Author-email: julian.hochhaus@tu-dortmund.de
License: MIT
Description: 
        If you got a problem or suggestions to improve the scripts, please create an [issue in git](https://github.com/Julian-Hochhaus/py_modules/issues).
        
        Using **textable**:
        
            textable.latex_tab(data=[arr1,arr2],names=[r"title column 1",r"title column 2"], filename=r"example.tex",caption=r"Beautiful caption",label=r"important_label",dec_points=[2,0])
        
        
        Where data_array must be an array of arrays; names_array must be an array of strings, containing the column-names, filename has to be a string,too.
        
        dec_points sets precision for each column. dec_points is ignored, if uncertainty-arrays are used as input. Instead, the rounding rules by Particle Data Group are used (as in uncertainties-package implemented)
        
        
        
        For an example, have a look at example.py
        
        label must be a string.
        
        
        To write long tables, use
        
            textable.long_tab(data=[arr1,arr2],names=[r"title column 1",r"title column 2"], filename=r"example.tex",caption=r"Beautiful caption",label=r"important_label",dec_points=[2,0])
        
        
        
        **Btw: You do not need to add prefix "tab:".**
        
        
        If you want to see the results, compile the .tex-file.
        To do so, easiest way is to use the makefile.
        That will compile main.tex where the generated example.tex is included.
        
        Version:
        0.0.5: Fixed errors with uncertainties
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
