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https://github.com/dylanwal/well_plate

well plates
https://github.com/dylanwal/well_plate

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well plates

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# Well Plate (well_plate)

---
---
![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!

---

## 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)

---
---

## 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", ...)

---
---

## 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)