---
title: Property Graph Index Visualization
 | Developer Documentation
---

Similar to the [property\_graph\_basic](property_graph_basic.ipynb) notebook, in this notebook, we demonstrate an alternative visualization approach for the default `SimplePropertyGraphStore`

While the focus of the other notebook is querying the graph, this notebook focuses on the visualization aspect of what was created.

```
%pip install llama-index
```

## Setup

```
import os
import urllib.request


os.environ["OPENAI_API_KEY"] = "sk-proj-..."
```

```
url = "https://raw.githubusercontent.com/run-llama/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt"
filename = "data/paul_graham/paul_graham_essay.txt"
os.makedirs(os.path.dirname(filename), exist_ok=True)
urllib.request.urlretrieve(url, filename)
```

```
import nest_asyncio


nest_asyncio.apply()
```

```
from llama_index.core import SimpleDirectoryReader
```

```
documents = SimpleDirectoryReader("./data/paul_graham/").load_data()
```

## Construction

```
from llama_index.core import PropertyGraphIndex
from llama_index.embeddings.openai import OpenAIEmbedding
from llama_index.llms.openai import OpenAI


index = PropertyGraphIndex.from_documents(
    documents,
    llm=OpenAI(model="gpt-3.5-turbo", temperature=0.3),
    embed_model=OpenAIEmbedding(model_name="text-embedding-3-small"),
    show_progress=True,
)
```

## Visualization

Let’s explore what we created. Using the `show_jupyter_graph()` method to create our graph directly in the Jupyter cell!

Note that this only works in Jupyter environments.

```
index.property_graph_store.show_jupyter_graph()
```

![example graph](/_astro/jupyter_screenshot.Dy0R-jwo_3llS.png)