How to get stacked bars in python plotly

Published: 30 October 2023
on channel: CodeMore

In this tutorial, we will learn how to create stacked bar charts in Python using Plotly, a powerful data visualization library. Stacked bar charts are useful for visualizing the composition of data where individual categories are stacked on top of one another to show the total and relative proportions of each category within a group.
We will walk through the process step by step and provide a code example to create a stacked bar chart using Plotly.
Before getting started, ensure you have the following installed:
We will use Plotly Express to simplify the creation of our stacked bar chart.
For this tutorial, let's assume you have a dataset with categories and values. You'll need a Pandas DataFrame or similar data structure to work with your data. For example:
In this example, 'Category' represents the categories, and 'Value' represents the corresponding values.
Now, use Plotly Express to create a stacked bar chart:
In this code:
You can customize your chart further by adding labels, titles, adjusting colors, and more. For example:
Here, we've added a title to the chart, labeled the axes, and hidden the legend (since the colors already indicate the categories).
You can choose to display the chart in a Jupyter Notebook or save it to an HTML file:
That's it! You've created a stacked bar chart using Plotly in Python.
Here's the complete code example:
This will generate a stacked bar chart displaying the 'Category' values on the x-axis and the 'Value' on the y-axis, with each category stacked in a different color.
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