# PFund-Plot
[](https://x.com/pfund_ai)
[](https://jupyter.org)
[](https://marimo.io)
[](https://pypi.org/project/pfund-plot)
## Problem
Traders often need to quickly visualize their data without investing time in learning new tools.
For example, plotting an orderbook should be as simple as writing a single line of code.
## Solution
We created a high-level plotting library that combines the best features from existing plotting and dashboarding libraries into an easy-to-use interface.
---
<img src="docs/assets/candlestick.gif" alt="pfund-plot candlestick streaming example" width="450">
<!-- <div style="display: flex; justify-content: space-around; align-items: center;">
<img src="docs/assets/candlestick.gif" alt="pfund-plot streaming example" width="450">
<img src="docs/assets/orderbook.gif" alt="pfund-plot streaming example" width="450">
</div> -->
---
PFund-Plot is a super high-level, out-of-the-box, domain-specific plotting library designed for traders that supports **financial data visualization**, **dashboard creation**, and **template sharing**.
> This library is not ready, please wait for version 0.0.1 release.
## Core Features
- [x] Multi-Display Mode: support displaying plots in a *Jupyter notebook*, *Marimo notebook*, *browser* and *desktop window*
- [x] Streaming Data: support streaming data in real-time by just setting `streaming=True`
- [x] DataFrame Agnostic: support pandas, polars, and dask
- [x] Big Data Plotting: support plotting large datasets
- [x] Financial Plots: plot financial data by just one function call, e.g. candlestick, orderbook, trades etc.
- [x] Combine multiple plots into a dashboard quickly for visualization
## Installation
```bash
pip install pfund-plot
```
## Usage
```python
import pfund_plot as plt
# TODO: get some sample data using pfeed
data = ...
fig = plt.ohlc(data)
```
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