Introduction to Plotly

 an interactive open-source plotting library available in Python and JavaScript. Plotly supports over 40 unique chart types and is commonly used for creating web-based visualizations that can be displayed in Jupyter Notebooks, saved as standalone HTML files, or integrated into web applications using Dash.


There are two sub-modules of Plotly:


Plotly Graph Objects: This submodule provides a low-level interface to figures, traces, and layout. It consists of a hierarchy of classes representing figures, traces, and layouts, with the top-level class being Plotly.graph_objects.Figure. Plotly Graph Objects allow for fine-grained control over the appearance and layout of charts.


Plotly Express: Plotly Express is a high-level wrapper for Plotly that offers a simpler syntax for creating common chart types. It internally uses Plotly Graph Objects, making it a recommended starting point for creating basic visualizations. Plotly Express provides an easy-to-use interface for generating interactive charts with minimal code.


Here's a summary of the steps involved in creating a simple line chart using both Plotly Graph Objects and Plotly Express:


Using Plotly Graph Objects:


Import the required packages (plotly.graph_objects as go and numpy as np).

Generate sample data using NumPy.

Create an array of x-values and random y-values.

Define the figure using go.Figure() and add a trace (e.g., go.Scatter) with the x and y data.

Update the layout of the figure (e.g., title, axis labels) using fig.update_layout().

Display the plot using fig.show().

Using Plotly Express:


Import the required packages (plotly.express as px and numpy as np).

Generate sample data using NumPy.

Create the line chart using a single command (px.line()), specifying the x and y data, title, and axis labels.

Display the plot using fig.show().

Overall, Plotly provides a powerful and flexible toolset for creating interactive and customizable visualizations in Python. Whether using Plotly Graph Objects for fine-grained control or Plotly Express for simplicity, you can create a wide range of charts to effectively communicate your data insights.






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