semvec/pypi-packages huggingface dataset:
RainCheckPy 0.0.6
A package to check rainfall data
Requires Python: >=3.6

# RainCheckPy
> Python functions to check rainfall data for errors


These functions read in a dataframe of rainfall observation timeseries and checks each observation against a specific criteria. Each function then generates a time series of the result of the criteria test.

Details of each of the functions is provided in the [Documentation](https://raincheckpy.readthedocs.io/en/latest/index.html)


![](header.png)

## Installation

OS X & Linux:

```sh
python3 -m pip install RainCheckPy
```

Windows:

```sh
py -m pip install RainCheckPy
```

## Usage example

```sh
py
>>>import RainCheckPy
>>>RainCheckPy()
```

## Release History

* 0.0.1
    * The first release as a package

## Meta

Rainfall.NZ – info@rainfall.nz

Distributed under the MIT license. See ``LICENSE`` for more information.

[https://github.com/RainfallNZ/RainCheckPy](https://github.com/RainfallNZ/RainCheckPy)
gym-twolinkarm-env 0.1.10
This is the open-ai-gym environment for controlling two link arm
Requires Python: >=3.6

# gym-twolinkarm-env
![readme](https://user-images.githubusercontent.com/53563180/139202301-a0a82502-b09e-4ded-989f-44c0d75a1870.gif)
## Installation
```
pip install gym-twolinkarm-env
```

## Usage example
``` python
# coding: utf-8
import gym
import gym_twolinkarm_env

env = gym.make("TwoLinkArmEnv-v0")

for ep in range(10):
    env.reset()
    for step in range(200):
        action = env.action_space.sample()
        obs, rew, done, info = env.step(action)
        env.render()
```

## detail
# env
# state
# phisics
# reward
# action