semvec/pypi-packages huggingface dataset:
well-plate 0.0.5
Work with well plates!
License: BSD
Requires Python: >=3.9

# Well Plate (well_plate)

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![PyPI](https://img.shields.io/pypi/v/well_plate)
![downloads](https://static.pepy.tech/badge/well_plate)
![license](https://img.shields.io/github/license/dylanwal/well_plate)

Makes nice visualizations of well plates!


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## Installation

```
pip install well_plate
```

## Dependencies

[numpy](https://github.com/numpy/numpy)

[pandas](https://github.com/pandas-dev/pandas)

[plotly](https://github.com/plotly/plotly.py)

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## Options

* Well numbers
  * 6
  * 12
  * 24
  * 96
  * 384
  * To add more see [well_plate/config.py](https://github.com/dylanwal/well_plate/blob/master/well_plate/config.py)

* Well shape
  * 'circle'
  * 'rect' (square)

* Add data
  * use `wp.add_data()`; pass in a pd.Series with the index corresponding to well plate index (eg. "A1", "E4", ...)

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## Example
### Basic example
```python
    import well_plate

    wp = well_plate.WellPlate(24)
    wp.plot()
```
![well_plate](https://raw.githubusercontent.com/dylanwal/well_plate/master/examples/well_plate_24.svg)

### Change well size
```python
    import well_plate

    wp = well_plate.WellPlate(96, "rect")
    wp.plot()
```
![well_plate](https://raw.githubusercontent.com/dylanwal/well_plate/master/examples/well_plate_96r.svg)

# Add data

```python
    import pandas as pd    
    import well_plate

    wp = well_plate.WellPlate(384, "rect")
    
    df = pd.read_csv("example1_data.csv", index_col=0)
    wp.add_data(df["mw_n"])
    
    wp.plot(key="mw_n")
    wp.heatmap(key="mw_n")
```
![well_plate](https://raw.githubusercontent.com/dylanwal/well_plate/master/examples/well_plate_with_data.svg)
![well_plate](https://raw.githubusercontent.com/dylanwal/well_plate/master/examples/heatmap.svg)