Скачать или смотреть How to Plot Multiple Columns from a DataFrame in a Single Figure Using Loops in Pandas

Learn how to effectively plot multiple columns from a Pandas DataFrame in a single figure using loops, enhancing your data visualization skills.
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This video is based on the question https://stackoverflow.com/q/69438306/ asked by the user 'Jack' ( https://stackoverflow.com/u/15381822/ ) and on the answer https://stackoverflow.com/a/69438392/ provided by the user 'Odhian' ( https://stackoverflow.com/u/16253390/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Plotting Multiple Plots on a Single Figure in Pandas

When working with data in Python, visualizing it clearly can significantly enhance your understanding and presentation of the information. Many users of Pandas encounter situations where they need to plot multiple columns from a DataFrame on the same figure. If you’ve ever found yourself asking, "How can I plot multiple columns from the same DataFrame using a loop?", then you’re in the right place! Let's explore a straightforward way to achieve this.

Understanding the Problem

You have a DataFrame structured like this:

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Your goal is to plot the values from the Amount i=2, Amount i=3, and Amount i=4 columns on the same figure using a loop, rather than creating separate plots for each column. This consolidation makes it easier to compare the different columns visually.

The Solution

Here’s how you can achieve this with a few simple lines of code. Follow the steps below to create a unified plot of your DataFrame’s columns.

Step-by-Step Instructions

Import Libraries: Ensure you have the necessary libraries imported. You will primarily need Pandas and Matplotlib.

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Set Up Your DataFrame: Create your DataFrame if you haven’t already. This example uses the same structure as mentioned above.

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Loop Through Columns: Use a loop to plot the required columns on the same figure. The key here is referring to the columns dynamically using f-strings.

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Add Labels and Show Plot: It’s important to add a legend and labels for clarity. Finally, display the plot.

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Final Code Example

Here’s how the final condensed code will look:

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Conclusion

By following these steps, you can successfully plot multiple columns from a Pandas DataFrame on the same figure using a loop. This method not only simplifies your code but also enhances the visualization and comparison of multiple data trends in a single view. So the next time you need to visualize data, remember the power of loops in Python and Pandas!