semvec/pypi-packages huggingface dataset:
hydrohyeto-matplotlib 0.1.2
Generate a hydrograph and a hyetograph.
License: MIT
Keywords: matplotlib

[![PyPI version](https://badge.fury.io/py/hydrohyeto-matplotlib.svg)](https://badge.fury.io/py/hydrohyeto-matplotlib.svg)
# hydrohyeto_matplotlib
ハイドロ、ハイエトグラフをmatplotlibで表示します。

![demo](https://github.com/yakitoritabetai/hydrohyeto-matplotlib/blob/master/demo.png?raw=true "demo")

## 利用方法
- hydrohyeto_matplotlibをimportした後、hydrohyetoを実行します。
- グラフのラベルや凡例等のパラメータはコードの「default_kwargs」を参照してください。

```python
import hydrohyeto_matplotlib
import pandas as pd

df_o = pd.read_csv(f'demo.csv', parse_dates=['date'], index_col=0)

zz = {
    'label_real': '実測値',
    'title': 'デモ用',
}
fig = hydrohyeto_matplotlib.hydrohyeto(
    df_o,
    **zz
)
fig.savefig('demo.png')
```

### 設定値
```python
default_kwargs = {
    'name_rain': '時間雨量', # DataFrameのカラム名を指定（雨量）
    'name_pred': '時刻水位', # DataFrameのカラム名を指定（予測値）
    'name_real': '時刻水位', # DataFrameのカラム名を指定（実測値）
    'label_rain': 'Rainfall',
    'label_pred': 'Proposed',
    'label_real': 'Obs',
    'x_interval_hour': 1,
    'title': '',
    'rain_ylim': (0, 60),
    'lable_y1': 'Inflow$(m^{3}/s)$',
    'lable_y2': 'Rainfall(mm/h)'
}
```


## インストール
```sh
# pip
pip install hydrohyeto-matplotlib
```

## 利用フォント
IPAフォントのIPAexゴシック(Ver.003.01)を利用しています。
利用にあたっては[IPAフォントライセンスv1.0](https://github.com/uehara1414/japanize-matplotlib/blob/master/japanize_matplotlib/fonts/IPA_Font_License_Agreement_v1.0.txt)に同意してください。
erpbrasil.edoc.pdf 1.2.1
Impressão de documentos fiscais a partir do XML: NF-E, NFC-E, CT-E, MDF-E, GNRE e etc.
License: MIT
Requires Python: !=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=3.5

========
Overview
========



Impressão de documentos fiscais a partir do XML: NF-E, NFC-E, CT-E, MDF-E, GNRE e etc.

* Free software: MIT license

Installation
============

::

    pip install erpbrasil.edoc.pdf

You can also install the in-development version with::

    pip install https://github.com/erpbrasil/erpbrasil.edoc.pdf/archive/master.zip


Documentation
=============

https://erpbrasil.github.io/docs/

Development
===========

To run the all tests run::

    tox

Note, to combine the coverage data from all the tox environments run:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - Windows
      - ::

            set PYTEST_ADDOPTS=--cov-append
            tox

    - - Other
      - ::

            PYTEST_ADDOPTS=--cov-append tox


Changelog
=========

0.0.0 (2020-02-20)
------------------

* First release on PyPI.


1.0.0 (2021-05-05)
------------------

* Correção dos imports da biblioteca;
* NF-e Danfe c/ Volumes;
zoe-utils 0.1.2
A Zeo utility library for working with Prefect
License: MIT
Requires Python: >=3.11

## Overview

This library provides a utility class `ShellTask` to execute shell commands in a subprocess. It captures the output and errors, logs the output line by line, and raises an exception if the command fails.

## Installation

To use this utility, you need to have Python installed on your system. And install it via Pip.

## Usage

### ShellTask Class

The [`ShellTask`](utilities/shell_utils.py) class is designed to run shell commands and handle their output and errors.

#### Initialization

To create an instance of [`ShellTask`](utilities/shell_utils.py), you need to pass the shell command as a string to the constructor and execute method 'run()'

```python
from shell_utils import ShellTask

command = "ls -la"
task = ShellTask(command).run()
```

## License

This project is licensed under the MIT License. See the LICENSE file for more details.

## Contributing

Contributions are welcome! Please open an issue or submit a pull request with your changes.

## Contact

For any questions or suggestions, please open an issue on the GitHub repository.