semvec/pypi-packages huggingface dataset:
asdf-sextant 0.1.2
GUI to explore ASDF files
Requires Python: >=3.6

# ASDF Sextant

Landing page for all things **ASDF**: https://seismic-data.org

> This is **A**daptable **S**eismic **D**ata **F**ormat - if you are looking
> for the **A**dvanced **S**cientific **D**ata **F**ormat, go here:
> https://asdf.readthedocs.io/en/latest/

This is an experimental graphical user interface intended to enable the
interactive exploration of ASDF files. It is best suited to deal with
earthquake data.

![Imgur](http://i.imgur.com/dR6T2XE.png)
![Imgur](http://i.imgur.com/Zk97r3K.png)
![Imgur](http://i.imgur.com/BRvdjoL.png)

## Installation

```bash
$ conda install pyasdf pyside2
$ pip install asdf-sextant
```

It is important to install `pyside2` via `conda` if you use `conda` -
otherwise it is easy to install some version of Qt with `conda` and another
via `pip` which just crashes.

## Usage

Start it with:

```bash
$ asdf-sextant
```

Alternatively you can directly open a file with it:

```bash
$ asdf-sextant filename.h5
```

## Dev

### Dependencies

The GUI has the following dependencies:

- `Python 3.7 or 3.8`
- `pyasdf`
- `pyside2`
- `pyqtgraph>=0.11.0rc0`
- `qdarkstyle`

### Misc

Rebuild the UI file in case its necessary with:

```
pyside2-uic -g python --output=asdf_sextant_window.py asdf_sextant_window.ui
```
tidals 0.0.7
Tidepool Data Analysis Tools

# tidals
This python package contains analysis tools and utility functions that
may be helpful when loading, cleaning, and analyzing Tidepool data. This
package is currently in development.


## Contribute to the tidals package
If you want to add to this package, please submit a pull request


## Testing
This project uses the testing framework named pyTest. https://docs.pytest.org/en/latest/

After following the project setup instructions, including creating and activating the
virtual environment, you can simply run your tests within Bash

``` bash
# Run tests via  
pytest 
```

## Running Tests with Test Coverage 
This project uses pytest-cov (https://pytest-cov.readthedocs.io/en/latest/) to run test and produce code 
test coverage. 

To execute a basic test coverage report, run the following from within the virtual environment created during project setup
. This will give the output directly in the Terminal.
``` bash
# Run tests via  
pytest --cov 
```

To execute a detailed test coverage report, run the following command from within the virtual environment created during 
the project setup. 
This will create an htmlcov directory containing an index.html page with coverage details.
``` bash
# Run tests via  
pytest --cov --cov-report html
```