semvec/pypi-packages huggingface dataset:
switch-inputs 0.7.0
Create input files for switch

<div align="center">
<h1>
  <img src="./static/img/logo-b.png" alt="SWITCH" width="200">
  <h3>A capacity expansion model for the electricity sector.</h4>
  <h4>Input file creation</h4>
  <br>
</h1>

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[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](http://forthebadge.com)
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[![GitHub last commit](https://img.shields.io/github/last-commit/google/skia.svg?style=flat-square)](https://github.com/Switch-Mexico/switch-inputs)
</div>

# SWITCH inputs for Mexico

Update: 05/01/2018

Repo for SWITCH-Mexico including code and data

Todo:
- [x] Implement git lfs,
- [x] Verify switch input files creation,
- [x] Clean folders,
- [x] Update switch input creation,
- [x] Create function that check if folders exists
- [ ] Create sanity check for default inputs 
- [ ] Create fuel cost inputs
- [ ] Update switch folder,
- [ ] Publish runs,
- [ ] Write Readme and documentation for the codes.


Collaborators:
Sergio, Pedro, Hector and others.

## How to use

### Installation

With pip:

```bash
pip install switch-inputs

With pipenv:

```bash
pipenv install switch-inputs
```

### How to run

First we need to download all the default data files:

```bash
inputs init
```

To create the switch inputs and create different scenarios run:

```bash
inputs create
```

The `data/switch\_inputs` will be copy for switch-model


### How to run Renewable Ninja:

Create a file in src/ called secrets.yml with your API\_KEY for using renewable
ninja API.

The file should look like this:

```yaml
API_KEY: "YOUR_API_KEY"
```
msiimport 0.1.0
Access analyze75 formatted mass spec images

# msiimport

## Description

A convenience package for accessing mass spec image data stored as analyze75 formated files (.hdr, .img, .t2m).

If there is interest in further functionality, please create an issue to ask for features or filetype compatibility (imzML, ...).

No filetype writing is planned at this time.

## Installation

Install msiimport with:

`pip install msiimport`

## Example

```python
# Get a 2D ndarray of data near an m/z peak

from msiimport import analyze75 as ana

#...

data = ana(path_to_dot_hdr)
image = data.getImage(peakmz=303.23, tolerance=0.4)

```