semvec/pypi-packages huggingface dataset:
eplines 0.1
Heatmaps of empirical and exceedance probability of many (time-)series.
License: MIT
Requires Python: >=3.8

# eplines
[![pypi_shield](https://img.shields.io/pypi/v/eplines.svg)](https://pypi.org/project/eplines/)
[![pypi_license](https://badgen.net/pypi/license/eplines/)](https://pypi.org/project/eplines/)
![tests_workflow](https://github.com/rhkarls/eplines/actions/workflows/run_flake8_pytest.yml/badge.svg)

Heatmaps of empirical and exceedance probability of many (time-)series.

This package is at alpha stage and experimental.

## Requirements

    numpy
    matplotlib

## Installation

`pip install eplines`

## Examples

See \examples folder for example applications of `eplines`

Temperature time series ECDF `\examples\example_temperature_timeseries.py`

![example_ecdf_airtemp](https://github.com/rhkarls/eplines/blob/main/examples/temperature_ecdf_example.png)

Discharge time series exceedance probability (aka flow-duration curve) `\examples\example_usgs_discharge.py`

![example_exceedance_df](https://github.com/rhkarls/eplines/blob/main/examples/discharge_exceedance_example.png)




MIT License

Copyright (c) 2022 Reinert Huseby Karlsen

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
xxj-nameko-dependency 0.4
xxj nameko dependency
License: MIT
Keywords: xxj nameko

# 薪行家代付nameko dependency


## install

```shell
pip install xxj-nameko-dependency
```

## config

通过yaml文件方式配置nameko环境变量

```
XXJ:
  MCHNT_NUM: ${XXJ_MCHNT_NUM}
  API_BASE_URL: ${XXJ_API_BASE_URL}
  DES_KEY: ${XXJ_DES_KEY}
  PUBLIC_KEY: ${XXJ_PUBLIC_KEY}
  PRIVATE_KEY: ${XXJ_PRIVATE_KEY}
```

## How to use?

```python
from xxj import XXJ

class TestService(Base):
    xxj = XXJ()

    @rpc
    def create_package(self, data):
        return self.xxj.call("remit/createpackage", data)
```