docs/tutorial/jupyter-notebook.zh.md

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# Python Jupyter Notebook 示例

Sedona Python 提供了一系列 [Jupyter Notebook 示例](https://github.com/apache/sedona/blob/master/docs/usecases/)。

请按以下步骤使用 Pipenv 在本机运行 Jupyter Notebook：

1. 克隆 Sedona GitHub 仓库或下载源代码
2. 从 PyPI 或 GitHub 源码安装 Sedona Python：参考 [安装 Sedona Python](../setup/install-python.md#install-sedona)。
3. 准备 spark-shaded jar：参考 [安装 Sedona Python](../setup/install-python.md#prepare-sedona-spark-jar)。
4. 设置 Pipenv 的 Python 版本（请使用您所需的 Python 版本）：

```bash
cd docs/usecases
pipenv --python 3.8
```

5. 安装依赖：

```bash
cd docs/usecases
pipenv install
```

6. 在 Pipenv 中安装 Jupyter Notebook 内核：

```bash
pipenv install ipykernel
pipenv shell
```

7. 在 Pipenv shell 中执行：

```bash
python -m ipykernel install --user --name=apache-sedona
```

8. 如果之前未配置过，请设置环境变量 `SPARK_HOME` 与 `PYTHONPATH`，参考 [安装 Sedona Python](../setup/install-python.md/#setup-environment-variables)。
9. 启动 Jupyter Notebook：`jupyter notebook`
10. 选择 Sedona notebook，在 notebook 中依次选择 Kernel -> Change Kernel，选择刚才注册的内核。