semvec/pypi-packages huggingface dataset:
flask-openipa 0.0.4
Flask extension to create REST API documented from marshmallow schema or pydantic BaseModel.

# Flask OpenIPA

Flask OpenIPA is a flask extension that can be used to generate OpenAPI specifications from your existing flask code. It provides extension (or you can create yours) to automatically generate OpenAPI models from python objects.

for more information have a look at the [documentation](https://sylvanld.gitlab.io/open-source/flask-openipa/)

## Install

**Package installation**

You can install this package from PyPI using

```shell
pip install flask-openipa
```

**Extra dependencies**

To install with extras requirements use

```shell
pip install flask-openipa[marshmallow,swagger-ui]
```

| Extra requirements | Usage                                                                                             |
| ------------------ | ------------------------------------------------------------------------------------------------- |
| pydantic           | Used to generate openapi models from marshmallow schemas                                          |
| marshmallow        | Used to generate openapi models from pydantic BaseModels                                          |
| swagger-ui         | Needed only if you want to embed swagger ui for your openapi specifications directly in your app. |
pandasecharts 0.5
Visualize your pandas data with one-line code
Requires Python: >=3.6, <4
Keywords: pandas,echarts,data visualization

<h1 align="center"> PandasEcharts </h1>

<p align="center">
  <a href="https://badge.fury.io/py/pandasecharts">
      <img src="https://badge.fury.io/py/pandasecharts.svg">
  </a>

  <a href="https://opensource.org/licenses/MIT">
      <img src="https://img.shields.io/github/license/gamersover/pandasecharts">
  </a>
</p>

[English README](README_en.md)

## 简介
基于[pandas](https://github.com/pandas-dev/pandas)和[pyecharts](https://github.com/pyecharts/pyecharts)的可视化工具，该项目的旨在**用一行代码可视化您的pandas数据**。

## 安装
pip 安装

```sh
$ pip install pandasecharts
```

源码安装

```sh
$ git clone https://github.com/gamersover/pandasecharts
$ cd pandasecharts
$ pip install -r requirements.txt
$ python setup.py install
```

## 使用

#### notebook环境

* 基本直方图

![img](https://cdn.jsdelivr.net/gh/gamersover/hexo_blog_assets@main/pandasecharts示例/Kapture-2021-12-02-at-19.51.26.6hc6dq7atk40.gif)

* 带时间变化的直方图

![img](https://cdn.jsdelivr.net/gh/gamersover/hexo_blog_assets@main/pandasecharts示例/Kapture-2021-12-02-at-19.56.33.28ztwkmukni8.gif)

更多使用方法请访问
* [documentation](https://caoqinping.com/2021/12/17/pandasecharts使用示例/)
* [example](examples/)

## 后续计划

目前已支持图表类型

* [x] Pie
* [x] Bar
* [x] Bar3D
* [x] Line
* [x] Line3D
* [x] Scatter
* [x] Scatter3D
* [x] Boxplot
* [x] Geo
* [x] Map
* [x] Funnel
* [x] Calendar
* [x] WordCloud

### 0.5版本计划
* [x] 支持代码提示
* [x] 加入datazoom
* [x] 修复line图形当xtype为value时需要排序的问题



## License

MIT [©gamersover](https://github.com/gamersover)