https://github.com/dobraczka/colorizelatextables

Transform your csv files or pandas DataFrames to colorcoded LaTex tables
https://github.com/dobraczka/colorizelatextables

csv latex pandas

Last synced: about 2 months ago
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Transform your csv files or pandas DataFrames to colorcoded LaTex tables

• Host: GitHub
• URL: https://github.com/dobraczka/colorizelatextables
• Owner: dobraczka
• License: mit
• Created: 2017-07-08T11:05:00.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2021-01-20T13:15:18.000Z (almost 4 years ago)
• Last Synced: 2024-11-08T01:19:33.636Z (about 2 months ago)
• Topics: csv, latex, pandas
• Language: Python
• Homepage:
• Size: 577 KB
• Stars: 5
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## ColorizeLaTexTables: small script to get color coded latex tables from csv files or pandas DataFrames

![colorized table](images/bigtable.png)

Create latex tables that are colored based on rank.

# Installation

Install via pip:

```

pip install colorizelatextables

```

# Dependencies

Only necessary dependency is pandas, seaborn is recommended for color palettes:

```

pip install pandas

pip install seaborn

```

# Usage:

You can either use the script or use the module

## Script

```

colorize_table.py examples/BigTable.csv bigtable.tex

```

You can also use seaborn palette names if you have seaborn

```

colorize_table.py --palette "GnBu_r" examples/BigTable.csv bigtable.tex

```

### Options:

```

usage: colorize_table.py [-h] [-a] [--precision PRECISION] [-n NRANKS]

                         [--colors COLORS] [--palette PALETTE] [-f]

                         [--seperator SEPERATOR] [--columnwise]

                         inputpath [outputpath]

positional arguments:

  inputpath             the path to the .csv table

  outputpath            the path where you want the.tex file

optional arguments:

  -h, --help            show this help message and exit

  -a, --ascending       highlight from smallest to largest, default is

                        descending

  --precision PRECISION

                        decimal precision,default is 3

  -n NRANKS, --nranks NRANKS

                        number of ranks to highlight

  --colors COLORS       rgb_codes as list of float triples. if you have

                        seaborn it is recommended to use the --palette option

  --palette PALETTE     seaborn color palette name

  -f, --full            creates a complete .tex document, rather than only the

                        tabular statement

  --seperator SEPERATOR

                        seperator of csv, comma is default

  --columnwise          calculate columnwise rank rather than rowwise rank

```

## Module

```python

from colorizelatextables import to_colorized_latex

table_string, defined_colors = to_colorized_latex(df, sns.color_palette("GnBu_d",n_colors=3))

```

You can also provide additional keyword arguments that are passed to pandas [to_latex()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_latex.html) function, e.g.

```python

table_string, defined_colors = to_colorized_latex(df, sns.color_palette("GnBu_d",n_colors=3), column_format="|c|c|c|c|c|c|c|c|c|")

```