semvec/pypi-packages huggingface dataset:
sameh-stirling 0.0.6
A library for creating Dash interactive charts
Requires Python: >=3.6

# sameh_stirling

The `sameh_stirling` module contains functions for creating interactive Dash charts.

## Installation

```
pip install sameh-stirling
```

## Usage

The module contains two chart functions:

### stacked_bar

Creates an interactive stacked bar chart using Plotly Dash.

```python
from sameh_stirling.stacked_bar import stacked_bar
import pandas as pd

data = pd.DataFrame({
    "name": ["Ashley", "Ashley", "Ashley", "Patricia", "Patricia", "Patricia", "Betty", "Betty", "Betty", "Helen", "Helen", "Helen"],
    "year": [1920, 1960, 2000, 1920, 1960, 2000, 1920, 1960, 2000, 1920, 1960, 2000],
    "n": [2089, 17503, 17997, 6199, 47952, 7453, 22877, 11378, 880, 70621, 40471, 6909]
})

stacked_bar(data, layout_kwargs={}, px_kwargs={})
```

- `data` (DataFrame): DataFrame containing the data
- `layout_kwargs` (dict): Keyword arguments passed to `plotly.layout` - optional
- `px_kwargs` (dict): Keyword arguments passed to `plotly.express` -optional

### bubble_chart 

Creates an interactive bubble chart using Plotly Dash.

```python 
from sameh_stirling.bubble_chart import bubble_chart 
import plotly.express as px
data = px.data.gapminder()

bubble_chart(data, layout_kwargs={}, px_kwargs={})
```

- `data` (DataFrame): DataFrame containing the data
- `layout_kwargs` (dict): Keyword arguments passed to `plotly.layout` - optional
- `px_kwargs` (dict): Keyword arguments passed to `plotly.express` -optional

Both functions return a Dash app that can be run with `app.run_server()`.

The charts allow selecting dimensions, customizing the font, and passing keyword arguments to `plotly.express` and `plotly.layout` to customize the appearance.

See the source code for more details on usage and customization options.

## Contributing

Contributions to add more charts are welcome! Please open an issue or PR.

## License

MIT
conservator-cli 2.15.1
A library for using the Teledyne FLIR Conservator API, with a nice command line interface.
Requires Python: >=3.6

# Conservator CLI

[![Build Status](https://jenkins.conservator.ai/buildStatus/icon?job=conservator_cli)](https://jenkins.conservator.ai/job/conservator_cli/)

This library provides a Python API to interface with
[Conservator](https://flirconservator.com/), as well as a CLI for
simple operations like searching, downloading, and uploading files.

Please visit the [Official Documentation](https://flir.github.io/conservator-cli/)
to get started.

Conservator CLI is licensed under the [MIT License](https://opensource.org/licenses/MIT).

# Test
remotesense-learn 0.0.4
A toolkit for remote sensing machine learning classification based on scikit-learn
Requires Python: >=3.7

# 遥感影像机器学习工具包



## 安装
可以使用pip进行安装：
~~~
pip install remotesense-learn
~~~
本程序依赖的包有`scikit-learn`、`numpy`、`rasterio`等。

## 使用
### 读取数据

~~~python
from rslearn import  ImageFrame
img=ImageFrame.read("example_data/bhtmref.img")
~~~

#### 保存栅格文件

### 聚类分析

### 监督分类

### 数据处理

#### 数据标准化

#### 图像滤波

### 可视化

#### 波段预览

#### 波段直方图
sampacks 1.6
In summary, Sampacks is a game-changing Python package that empowers developers to write code swiftly and efficiently. By providing shorthand functions, code snippets, intelligent code completion, and code generation capabilities, Sampacks streamlines the coding process, enabling developers to accelerate their productivity and deliver high-quality code with ease.

Sampacks is a dynamic Python package designed to enhance the coding experience and boost productivity for developers. With a range of efficient functions and utilities, Sampacks empowers users to write code rapidly and efficiently, reducing development time and increasing overall efficiency.

One of the key features of Sampacks is its extensive library of shorthand functions. These functions are carefully crafted to simplify common coding tasks, allowing users to write concise and expressive code with minimal effort. Whether it's performing complex mathematical calculations, manipulating strings, or working with data structures, Sampacks provides intuitive and streamlined functions that significantly speed up the development process.

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With its user-friendly interface and comprehensive documentation, Sampacks ensures a smooth learning curve and seamless integration into existing development workflows. By leveraging Sampacks' powerful functions, snippets, and code generation capabilities, developers can write high-quality code faster, optimize their workflow, and focus on building innovative and robust applications.