# Poi: The Declarative Way to Excel at Excel in Python
![CI](https://github.com/ryanwang520/poi/actions/workflows/tests.yaml/badge.svg)
## Why Poi?
Creating Excel files programmatically has always been a chore. Current libraries offer limited flexibility, especially when you need more than a basic table. That's where Poi comes in, offering you a simple, intuitive, yet powerful DSL to make Excel files exactly the way you want them.
## Installation
```bash
pip install poi
```
## Quick start
### Create a sheet object and write to a file.
```python
from poi import Sheet, Cell
sheet = Sheet(
root=Cell("hello world")
)
sheet.write('hello.xlsx')
```
![hello](https://github.com/baoshishu/poi/raw/master/docs/assets/hello.png)
See, it's pretty simple and clear.
### Create a Dynamic Table with Conditional Formatting
```python
from typing import NamedTuple
from datetime import datetime
import random
from poi import Sheet, Table
class Product(NamedTuple):
name: str
desc: str
price: int
created_at: datetime
img: str
data = [
Product(
name=f"prod {i}",
desc=f"desc {i}",
price=random.randint(1, 100),
created_at=datetime.now(),
img="./docs/assets/product.jpg",
)
for i in range(5)
]
columns = [
{
"type": "image",
"attr": "img",
"title": "Product Image",
"options": {"x_scale": 0.27, "y_scale": 0.25},
},
("name", "Name"),
("desc", "Description"),
("price", "Price"),
("created_at", "Create Time"),
]
sheet = Sheet(
root=Table(
data=data,
columns=columns,
row_height=80,
cell_style={
"color: red": lambda record, col: col.attr == "price" and record.price > 50
},
date_format="yyyy-mm-dd",
align="center",
border=1,
)
)
sheet.write("table.xlsx")
```
![table](https://github.com/baoshishu/poi/raw/master/docs/assets/table.png)
See how simple it is to create complex tables? You just wrote a dynamic Excel table with conditional formatting a few lines of code!
### Features
* 🎉 Declarative: Create Excel files with a simple, intuitive DSL.
* 🔥 Fast: Export large Excel files in seconds.
* 🚀 Flexible Layouts: Create any layout you can imagine with our intuitive Row and Col primitives.
### Documentation
For more details, check our comprehensive [Documentation](https://ryanwang520.github.io/poi/)
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