# spark_data_modeling_tools
[](https://opensource.org/licenses/Apache-2.0)
[](pyup)
[](pyup)
[](codecov)
spark_data_modeling_tools is a Python library that implements styles in the Dataframe
## Installation
The code is packaged for PyPI, so that the installation consists in running:
```sh
pip install spark-data-modeling-tools --user --upgrade
```
## Usage
```sh
from spark_data_modeling_tools import dm_generated_table_refused
```
```sh
UPLOAD PATH_BUI
%%writefile tablitas.txt
t_pmol_finc_gl_ac_mthly_balances
t_pbtq_spectrum_gm_oper_ctpty
nro_sda = "39984"
project_name = "Golden Data"
sprint_name = "SP1"
nro_q = "Q4"
scrum_master = "jonathan quiza"
collaborator_dm = "Erika Salazar"
comment_resolution = "[JQP]: Se solicita el reuso de la fuente para el proyecto Golden Data, para agregar reglas expertas"
comment_history = "[JQP]: No se requiere historia"
add_dashboard_ingesta_procesamiento = "Si"
dm_generated_table_refused(path_bui=None,
path_tables=None,
nro_sda=None,
project_name=None,
sprint_name=None,
nro_q=None,
scrum_master=None,
collaborator_dm=None,
comment_resolution=None,
comment_history=None,
add_dashboard_ingesta_procesamiento=None)
```
```
## License
[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).
## New features v1.0
## BugFix
- choco install visualcpp-build-tools
## Reference
- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).
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