semvec/pypi-packages huggingface dataset:
flyplotlib 0.5.1
Add flies to matplotlib plots.
Requires Python: >=3.10

# flyplotlib

[![PyPI version](https://badge.fury.io/py/flyplotlib.svg)](https://badge.fury.io/py/flyplotlib)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/tkclam/flyplotlib/blob/main/LICENSE)

flyplotlib is a Python library for adding vector graphics of fruit flies to matplotlib plots.

## Installation
To install flyplotlib, simply run the following command:

```sh
pip install flyplotlib
```

## Usage
Here's a basic example of how to use flyplotlib to add flies to a matplotlib plot:

```python
import matplotlib.pyplot as plt
from flyplotlib import add_fly

fig, ax = plt.subplots()
add_fly(xy=(0, 0), ax=ax)
add_fly(xy=(2, -0.5), rotation=30, length=2, alpha=0.3, ax=ax)
add_fly(xy=(3.5, 0), rotation=-45, grayscale=True, ax=ax)
ax.set_aspect(1)
```
GeoXCP 1.0.0
Geospatial eXplanation Conformal Prediction (GeoXCP)
Requires Python: >=3.8

# GeoXCP

> **Geo**spatial e**X**planation **C**onformal **P**rediction (GeoXCP) is a powerful framework to measure uncertainty of spatial explanations.


## Usage
```python
from GeoConformalizedExplainer import GeoConformalizedExplainer
from xgboost import XGBRegressor
from sklearn.model_selection import train_test_split
import pandas as pd

data = pd.read_csv('...')
X_geo = data[['X1', 'X2', 'X3', 'X4', 'X5']]
y = data['y']
loc = data[['lon', 'lat']]

X_train, X_temp, y_train, y_temp, _, loc_temp = train_test_split(X_geo, y, loc, train_size=0.8, random_state=42)
X_calib, X_test, y_calib, y_test, loc_calib, loc_test = train_test_split(X_geo, y, loc_temp, train_size=0.5, random_state=42)
feature_names = X_geo.columns

# Fit a XGBoost Regressor model
model = XGBRegressor().fit(X_train, y_train)

# Initialize a GeoXCP Explainer
explainer = GeoConformalizedExplainer(prediction_f=model.predict,
                                      x_train=X_train,
                                      x_calib=X_calib,
                                      coord_calib=loc_calib.values,
                                      miscoverage_level=0.1,
                                      band_width=0.3,
                                      feature_names=feature_names)

# Explain the data with uncertainty
results = explainer.uncertainty_aware_explain(x_test=X_test, coord_test=loc_test)

# Make an accuracy summary
results.accuracy_summary()

# Convert the results into GeoPandas GeoDataFrame format
pred_results = results.result_geo

# Plot the shap values with uncertainty for certain location
results.plot_shap_values_with_uncertainty(i=20)

# Plot the spatial distribution of uncertainty
results.plot_geo_uncertainty()
```
guitares 0.1.5
Guitares is a Python package for building configurable Graphical User Interfaces (GUIs) using the PyQt5 or PySide6 framework.
Requires Python: >=3.10

# Guitares
A package for building configurable GUIs with PyQt5

Check out the documentation here: https://guitares.readthedocs.io/en/latest/

To install: https://pypi.org/project/guitares/
brief-test 0.1.0
Add your description here
Requires Python: >=3.13

使用以下方式进行server 和测试 配置对应测试环境 
uv run pytest -s tests/test_main.py::test_get_id_from_name 
uv run python -m clientz.server 80 --prod

docker-compose build --no-cache

# C语言相关使用方式

## 文本内容
├── CMakeLists.txt
├── LICENSE
├── Readme.md
├── conanfile.txt
└── src
    ├── workspace
        ├── main.cpp
        ├── show.cpp
        └── show.h

## build
cd build
conan install .. -of . --build missing
### 构建Cmake
cmake .. -DCMAKE_TOOLCHAIN_FILE=conan_toolchain.cmake -DCMAKE_BUILD_TYPE=Release# or Debug
pynel 0.1.0
A Minimal clean basic UI for pygame
Keywords: python, pygame, python-ui, pygame-ui, minimal, clean, simple

# Pynel

[![Github Repository](https://img.shields.io/badge/Github%20Repository-db6038)](https://github.com/HussuBro010/pynel/)
[![PyPI](https://img.shields.io/badge/PyPi-dba738)](https://pypi.org/project/pynel/)

### A clean and minimal Python UI library for [Pygame](https://pypi.org/project/pygame/)

## Installation

#### Current Latest Version of the package:- 0.1.0

Run:-

```commandline
pip install pynel
```

or

Run for installing a specific version:-

```commandline
pip install pynel==VERSION
```

## Updating

Run:

```commandline
pip install pynel --upgrade
```