Metadata-Version: 2.1
Name: MolBokeh
Version: 1.0.1
Summary: Simple package to display molecules images in bokeh interactive charts.
Home-page: https://github.com/jeffrichardchemistry/molbokeh
Author: Jefferson Richard
Author-email: jrichardquimica@gmail.com
License: MIT
Keywords: Cheminformatics,Chemistry,QSAR,QSPR,Molecular visualization,Molecular plot,bokeh plot
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Environment :: MacOS X
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: bokeh
Requires-Dist: rdkit

# MolBokeh
[![PyPI version](https://img.shields.io/pypi/v/molbokeh)](https://pypi.python.org/pypi/molbokeh) [![PyPI Downloads](https://static.pepy.tech/badge/molbokeh)](https://www.pepy.tech/projects/molbokeh) [![This project supports Python 3.8+](https://img.shields.io/badge/Python-3.8+-blue.svg)](https://python.org/downloads)


MolBokeh is a simple package for viewing the image of molecules in interactive graphics from the Bokeh package without the need to run a web application such as flask or dash in the backend, thus facilitating integration with other tools and codes.

<img src="https://github.com/jeffrichardchemistry/molbokeh/blob/dev/example/content/molbokehview1.gif" width="400"/> <img src="https://github.com/jeffrichardchemistry/molbokeh/blob/dev/example/content/molbokehview2.gif" width="400"/>

# Installation

```
pip3 install molbokeh
```


# Simple usage

For more detailed usage examples, look the notebook at `example/how_to_use.ipynb` or open in [Google Colab (Opt1)](https://colab.research.google.com/drive/1SJPolSM_ZgjTMkra5LqQpk0mC5Jomqv8#scrollTo=dBJ3u_ivn-z-), [Colab (Opt2)](https://drive.google.com/file/d/1SJPolSM_ZgjTMkra5LqQpk0mC5Jomqv8/view?usp=sharing)

```python
import pandas as pd
from MolBokeh import MolBokeh
from bokeh.plotting import figure,show
from bokeh.models import ColumnDataSource

path = 'data.csv'
df = pd.read_csv(path)

source = ColumnDataSource(df)
fig = figure(width=600, height=500,tools="pan,box_zoom,wheel_zoom,zoom_in,zoom_out,reset,save,hover")
fig.scatter(x='MolWt', y='MolLogP', source=source, size=12,alpha=0.6)

## Adding molecules
fig = MolBokeh().add_molecule(fig=fig,
                              source=source,
                              smilesColName='Smiles_canon',
                              hoverAdditionalInfo=['MolWt','MolLogP','nRing','qed','TPSA'],
                              molSize=(100,100))
show(fig)

```



### Parameters info

|     **Parameter**     |                **Type**                 | **Default** | **Description**                                              |
| :-------------------: | :-------------------------------------: | :---------: | :----------------------------------------------------------- |
|         `fig`         |     `bokeh.plotting._figure.figure`     |  required   | Bokeh plot object created from `source(df)`                  |
|       `source`        | `bokeh.models.sources.ColumnDataSource` |  required   | Bokeh data type used to plot initial chart.                  |
|    `smilesColName`    |                  `str`                  |  required   | Smiles column name in dataframe used to create source object |
| `hoverAdditionalInfo` |             `None or list`              |   `None`    | List of column names (variables) to be shown within the graphs hover. |
|       `molSize`       |                 `tuple`                 | `(150,150)` | Size of the image of the molecule to be shown within the hover, also changes the size of the hover frame |







