Metadata-Version: 2.1
Name: tab2latex
Version: 0.0.1
Summary: A small example package
Home-page: https://github.com/pypa/sampleproject
Author: Example Author
Author-email: author@example.com
License: MIT
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown

# py_modules
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).

Import via:

    from modules.table import textable



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)


tableformat was used in an older version. column-width is now detected automatically
~~tableformat sets global column-width with
    tableformat=a
where a defines the number of spaces before the decimal separator and b after the decimal separator~~

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. 


Using **axislabel**

Import via:

    from modules.plot import axislabel as axis

Calling the function:

    axis.labels()
Grabs the current axis ticks and uses the german decimal separator ',' instead of the '.'

For an example, have a look at example.py



**Needs to be called in every plt instance!**


