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https://github.com/khuyentran1401/rich-dataframe

Create animated and pretty Pandas Dataframe
https://github.com/khuyentran1401/rich-dataframe

command-line pandas pandas-dataframe python rich-text

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Create animated and pretty Pandas Dataframe

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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
[![License: Apache-2.0](https://img.shields.io/badge/Apache-2.0%20v3-blue.svg)](https://github.com/khuyentran1401/rich-dataframe/blob/master/LICENSE)

# Rich DataFrame

Create animated and pretty Pandas Dataframe or Pandas Series, as shown below:

![image](https://github.com/khuyentran1401/rich-dataframe/blob/master/images/prettify_table.gif?raw=True)

# Installation
```bash
pip install rich-dataframe
```
# Usage
## Minimal example
```python
from sklearn.datasets import fetch_openml
from rich_dataframe import prettify

speed_dating = fetch_openml(name='SpeedDating', version=1)['frame']

table = prettify(speed_dating)

```

If you want to pass a non-dataframe object, `rich_dataframe` got it covered too!
```python
from rich_dataframe import prettify

var = {'a': 1, 'b': 3}
prettify(var)
```
![image](https://github.com/khuyentran1401/rich-dataframe/blob/master/images/non_dataframe.png?raw=True)
## Parameters
* **df: pd.DataFrame**
The data you want to prettify
* **row_limit : int, optional**
Number of rows to show, by default `20`
* **col_limit : int, optional**
Number of columns to show, by default `10`
* **first_rows : bool, optional**
Whether to show first n rows or last n rows, by default `True`. If this is set to `False`, show last n rows.
* **first_cols : bool, optional**
Whether to show first n columns or last n columns, by default `True`. If this is set to `False`, show last n rows.
* **delay_time : int, optional**
How fast is the animation, by default `5`. Increase this to have slower animation.
* **clear_console: bool, optional**
Clear the console before printing the table, by default True. If this is set to false the previous console input/output is maintained