semvec/pypi-packages huggingface dataset:
g80sxm 1.0.1
Analyse and create figures for Nanonis SPM data
License: MIT
Requires Python: <4.0,>=3.9
Keywords: stm, python, scanning tunnelling microscopy, sts, sxm, spm, figures, analyse, analysis, plot

[![DOI](https://zenodo.org/badge/486210971.svg)](https://zenodo.org/badge/latestdoi/486210971)
# G80SXM
G80SXM is a tool written in python to quickly analyse and create figures for Nanonis SPM data (STM/STS/nc-AFM).
I am actively developing this tool so if you have any suggestions or find any bugs, feel free to create an issue. The provided ./ExampleData used to create these figures was obtained in our lab at Monash University (see publications [here](https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.202106474) and [here](https://pubs.acs.org/doi/abs/10.1021/acsnano.9b05950)).

# Installation

Install with pip: ```pip install g80sxm```

# Usage
There are a number of panels in the gui, each with a specific function. See below figures for some examples. Hovering over buttons in the GUI will also provide help. Sessions can be saved and loaded via '.g80' files so you can pick up where you left off.

![nc-AFM_with_STS](./Documentation/nc-AFM_with_STS_and_molecules.png)
* Easily overlay atoms with correct scaling from custom .xyz files
* Automatically or manually locate markers on the main figure that correspond to spectrum locations
* Quickly fit spectra with
  * Reference curves/Other STS curves
  * Gaussian
  * Fermi-Dirac
  * More

![STM_with_Grid_and_STS](./Documentation/TOPO_with_Grid_and_AveragedSTS.png)
* Visualise grid data from .3ds files (middle panel)
* Easily pull out individual curves from a grid
* Ability to average curves from several pixels within a grid. In this example, each spectrum plotted is an average of three spectra from the middle panel as denoted by the blue, orange and green crosses

![TOPO_with_FitSteps](./Documentation/TOPO_with_FitSteps.png)
* Plot multiple 1D cuts through data
* Label and colour line cuts
* Fit profiles to accurately determine step edge heights
* Easily add, position, and style inset figures

![TOPO_with_FFT_and_FFTInset](./Documentation/TOPO_with_FFT_and_FFTInset.png)
* View FFT and label peaks

![TOPO_with_filter](./Documentation/TOPO_with_filter.png)
* Apply rolling and high-pass filters
* More filters being added soon
entyty 0.0.54
A Python library for creating and managing entities.
License: MIT
Requires Python: >=3.7
Keywords: entity game development grid

# entyty

**entyty** is a Python module that defines a framework for managing entities in a game or simulation environment. Entities are objects that can exist on a grid, occupy cells, and perform various actions within the system. The module provides base classes for creating and managing entities in a game or simulation. It also includes a set of subclasses that extend the framework to support grid-based entities. The module relies on the [pyglet](https://github.com/pyglet/pyglet) library for event dispatching/handling.

## Package Structure

The "entyty" package consists of the following classes:

- '_AbstractEntity'
- '_BaseEntity'

- 'Entity'
- 'LogicalEntity'
- 'VisualEntity'

- '_AbstractGridEntity'

- 'GridEntity'


## Entities

### Entity

- `Entity` is a subclass of `BaseEntity` representing general entities.

### LogicalEntity

- `LogicalEntity` is a subclass of `BaseEntity` representing logical entities.

### VisualEntity

- `VisualEntity` is a subclass of `BaseEntity` representing visual entities.
- It includes additional properties for managing an element and a position.

### GridEntity

- `GridEntity` is a concrete subclass of `AbstractGridEntity`.
- It represents grid-based entities and includes methods and properties for managing their movement and actions.
- Grid entities can occupy cells, move on a grid, and perform actions.

## Usage

To use the "entyty" package, you can create subclasses of the provided base classes to define specific entity types in your game or simulation. Customize the properties and methods to suit your needs.

Here's a simple example of how to create an entity:

```python
from entyty import LogicalEntity

class MyEntity(LogicalEntity):
    def __init__(self):
        super().__init__(name='MyEntity', **kwargs)

my_entity = MyEntity()
```
superset-iris 0.4.1b1
InterSystems IRIS Engine for Apache Superset
License: MIT
Keywords: "Superset InterSystems IRIS"

# InterSystems IRIS support for Apache Superset

<img
  src="https://github.com/apache/superset/raw/master/superset-frontend/src/assets/branding/superset-logo-horiz-apache.png"
  alt="Superset"
  width="500"
/>

[Apache Superset](https://superset.apache.org/) is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

## How to test with IRIS

* Clone this repository

```shell
git clone https://github.com/caretdev/superset-iris.git superset-iris
cd superset-iris
```

* Start Superset with Docker-Compose
```shell
docker-compose pull
docker-compose up -d
```

* During the start it imports example data to IRIS Database, it will take a while, to wait until it's done, run this command
```shell
docker-compose logs -f superset-init
```

> In addition there is `docker-compose-simple.yml` file, which contains only superset and IRIS, it loads examples too, but with no way to see the progress, but through Superset UI
> ```
> docker-compose -f docker-compose-simple.yml up -d --build 
> ```

When the command above will finish work, go to http://localhost:8088/dashboard/list/. Dashboards available without authorization. To access SQL Lab use admin/admin as login and password.

![Apache Superset](https://raw.githubusercontent.com/caretdev/superset-iris/main/imgs/superset.png)

With SQL Lab access to powerful SQL editor

![Apache Superset](https://raw.githubusercontent.com/caretdev/superset-iris/main/imgs/sqllab.png)

It is possible to upload CSV files to IRIS. Go to Settings, [Database Connections](http://localhost:8088/databaseview/list/). Edit action on database.

![Databases list](https://raw.githubusercontent.com/caretdev/superset-iris/main/imgs/databases.png)

In the modal dialog, go to Advanced, Security and check `Allow file uploads to database` and Finish

![Edit database](https://raw.githubusercontent.com/caretdev/superset-iris/main/imgs/edit-database.png)

And now [import CSV](http://localhost:8088/csvtodatabaseview/form) is available

![Import CSV](https://raw.githubusercontent.com/caretdev/superset-iris/main/imgs/import-csv.png)