This content originally appeared on DEV Community and was authored by MrRobot
Plotly is a Python library for creating interactive, high-quality graphs and visualizations. It supports a wide range of chart types including line charts, bar charts, scatter plots, 3D plots, and dashboards. Plotly integrates seamlessly with Pandas and supports web-based visualization via Dash. It’s widely used for data analysis, reporting, and creating interactive dashboards for both business and scientific applications.
Installation:
pip install plotly
Example usage:
import plotly.express as px
df = px.data.iris()
fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species")
fig.show()
PyPI page: https://pypi.org/project/plotly/
GitHub page: https://github.com/plotly/plotly.py
3 Project Ideas:
- Build an interactive dashboard for sales or business analytics.
- Visualize scientific data with interactive 3D plots.
- Create a web-based data exploration tool for large datasets.
This content originally appeared on DEV Community and was authored by MrRobot
MrRobot | Sciencx (2025-10-08T18:32:33+00:00) Plotly – Interactive Graphing and Data Visualization. Retrieved from https://www.scien.cx/2025/10/08/plotly-interactive-graphing-and-data-visualization/
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