semvec/pypi-packages huggingface dataset:
pyqt-titlebar-buttons-widget 0.0.21
PyQt buttons (e.g. min/max/close) widget for title bar or menu bar
License: MIT


# pyqt-titlebar-buttons-widget
PyQt buttons (e.g. min/max/close) widget for title bar or menu bar 

## Requirements
* PyQt5 >= 5.8

## Setup
`python -m pip install pyqt-titlebar-buttons-widget`

## Included Packages
* <a href="https://github.com/yjg30737/pyqt-svg-button.git">pyqt-svg-button</a>

## Package Inherited by This
* <a href="https://github.com/yjg30737/pyqt-windows-buttons-widget.git">pyqt-windows-buttons-widget</a>
* <a href="https://github.com/yjg30737/pyqt-mac-buttons-widget.git">pyqt-mac-buttons-widget</a>

## Class, Methods Overview
* `TitlebarButtonsWidget(base_widget=None, hint=['min, 'max', 'close'])` - Constructor.
* `getMinimizedBtn()`, `getMaximizedBtn()`, `getCloseBtn()`. I belive these three methods are quite self-explanatory.
* `setButtonSize(w, h)`. Set the overall width/height, text/icon size of button.

## Note
This package was actually made for those two packages i mentioned. Reducing redundancy.

<b>=== 2022/5/20 ===</b>

I'm working on other features such as help/tack buttons.

I could be working on adding another widgets(e.g. search bar) beside the buttons. So far i'm only working on the button because that seems to be the most generic feature.
fasteda 1.0.1
A module to get a quick overview of a DataFrame
License: MIT
Keywords: python,data,dataframe,data analysis,eda,pandas,numpy

A module to get a quick overview of a DataFrame.

Change Log
==========

1.0.0 (12/04/2022)
-------------------
- First Release

1.0.1 (1/23/2023)
-------------------
- Updated, added features
image-tiles 0.1.2
Serve a webpage with images from a folder.
License: MIT
Requires Python: >=3.7
Keywords: image,tiles,visualize

# Image Tiles

*A Moonshine Labs tool*

## Overview
A simple but flexible tool to view a folder full of images on your web browser. Features:

* Run one command and serve a folder of images in any format PIL supports.
* Easily view images on another computer, such as when working via SSH or remotely.
* Support for AWS (and eventually GCS/Azure) buckets.
* Normalization and rendering options for a variety of multispectral images, especially satellites.
* Support for multichannel TIFF, JP2, and other less common file formats.

## Installation
```
# Install default installation
$ pip install image_tiles

# Install with S3 support
$ pip install image_tiles[aws]
```

## Usage
```
$ image_tiles ./path_to_folder
```

### Serving a folder of JPEGs (images from instagram.com/dustinlefevre)

![example_page](docs_images/image_tiles_demo.png)

### Serving a folder of multispectral TIFFs:

![example_sat](docs_images/image_tiles_sat.png)

### Rendering options
* `rgb`: Standard RGB image rendering (default).
* `bgr`: BGR image rendering.
* `bw`: Grayscale image rendering from the first 3 channels.
* `sentinel`: Render using channels[1:4] for sentinel satellite data.

### Normalization options
* `standard`: If the image is a standard 1/3 channel image, leave it alone. Otherwise apply `scaling` (default)
* `scaling`: Scale to 0-255, clipping negative numbers and scaling positive numbers.
* `sigmoid`: Sigmoid normalization, as described in [xarray true color](https://xarray-spatial.org/reference/_autosummary/xrspatial.multispectral.true_color.html)
* `sentinel`: Sentinel-2 specific normalization, as described at the Sentinel 2 [user guide](https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/definitions)

## Current Limitations

* Only a subset of useful normalization and rendering options supported. Help contribute!
* Eventually we'd like to more easily support user code and functions.
* Must restart the server to change some options.