Python Plotly for Scientific Visualization

In this Python Plotly tutorial we want to learn about Python Plotly for Scientific Visualization, so Data visualization is an important part of scientific research and analysis, because it enables researchers to explore complex data sets, identify patterns and communicate findings effectively. and also Python is one of the best programming language for this data visualization tasks, because it has a lot of libraries for this purpose, one of the library is Plotly, so Plotly is an open source Python library that facilitates the creation of interactive and publication quality visualizations. It offers different chart types, including line plots, scatter plots, bar charts, histograms, 3D plots and many more. Plotly visualizations can be embedded in web applications, notebooks, or standalone HTML files.



First of all we need to install this library and we can use pip for that.



After that we need to import our required modules from Plotly.




Suppose you have collected data from an experiment and want to visualize the relationship between two variables. Plotly makes it simple to create a line plot. 



In many scientific scenarios, it is useful to represent data points with a color gradient, indicating a third variable. Let’s consider a situation where we have measurements of temperature at different locations. The following code snippet demonstrates how to create a scatter plot with color gradient using Plotly:




This is the complete code




These are the two outputs

Python Plotly for Scientific Visualization
Python Plotly for Scientific Visualization



Python Plotly for Scientific Visualization
Plotly for Scientific Visualization



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