Welcome to the Plotly documentation tutorial! Plotly is a powerful data visualization library that allows you to create interactive plots and dashboards. This guide will help you get started with Plotly and understand its basic functionalities.
Getting Started
Before you begin, make sure you have Plotly installed. You can install it using pip:
pip install plotly
Basic Plot Types
Plotly supports a wide range of plot types, including:
- Scatter plots
- Line plots
- Bar charts
- Heatmaps
- Histograms
- Box plots
- 3D plots
To create a basic scatter plot, you can use the following code:
import plotly.graph_objects as go
fig = go.Figure(data=[go.Scatter(x=[1, 2, 3], y=[4, 5, 6])])
fig.show()
Interactive Plots
One of the key features of Plotly is its interactivity. You can create interactive plots that allow users to zoom, pan, and hover over data points.
Here's an example of an interactive line plot:
import plotly.graph_objects as go
fig = go.Figure(data=[go.Scatter(x=[1, 2, 3], y=[4, 5, 6])])
fig.update_layout(title='Interactive Line Plot',
xaxis_title='X Axis',
yaxis_title='Y Axis')
fig.show()
Advanced Features
Plotly offers advanced features like subplots, annotations, and customizing the layout. You can explore these features in more detail by visiting the Plotly Documentation.
Conclusion
This tutorial provided a basic overview of Plotly and its capabilities. To learn more, we recommend visiting the Plotly Documentation and exploring the various examples and tutorials available.
Happy plotting! 🎉