Plotly is a versatile Python library for creating interactive data visualizations. One of the most commonly used visualization types is the scatter plot, which allows you to visualize the relationship between two numerical variables. We’ll explore how to create interactive scatter plots using Plotly in Python, enabling you to explore and analyze your data with ease.
Plotly is a powerful Python library for creating interactive data visualizations. One of the fundamental visualization types is the histogram, which is used to represent the distribution of a dataset. We’ll explore how to create histograms using Plotly in Python, allowing you to visualize data distributions with ease.
Bar charts are a common type of visualization used to represent categorical data and compare values across different categories. We’ll explore how to create interactive bar charts using Plotly in Python, allowing you to visualize and analyze your data with ease.
When working with Plotly, a “trace” is a fundamental component that represents a set of data points and how they should be displayed on a chart. We’ll explore how to add traces to Plotly charts in Python, enabling you to create complex and interactive visualizations.
One of the features that Plotly offers is the ability to customize the appearance of your plots, including the title font size. I will show you how to change the title font size in Plotly using two different methods: using the `layout` argument and using the `update_layout` method.
One of the features of Plotly is that it allows you to customize the appearance of your charts, including the title. We will show you how to create a title with multiple lines in Plotly, using different methods and options.
In Plotly, you can center the title of a plot by setting the title.x attribute to 0.5 and the title.xref attribute to “paper”.
Here’s an example of how you can center the title of a plot in Plotly:
In Plotly, you can add a vertical line to a plot by using the “shape” attribute in the layout. Here’s a simple example in Python:
Let’s see how Exploding out slices of a Pie Chart in Plotly works.