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Скачать или смотреть How to Create a DataFrame from Two Lists in Python Using Pandas

  • vlogize
  • 2025-10-04
  • 0
How to Create a DataFrame from Two Lists in Python Using Pandas
Create a function that takes in two lists named keys and values as arguments and return a dataframepythonpandasdataframe
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Описание к видео How to Create a DataFrame from Two Lists in Python Using Pandas

Learn how to create a DataFrame in Python using Pandas by passing two lists as arguments. This step-by-step guide will simplify the process for you!
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This video is based on the question https://stackoverflow.com/q/63499718/ asked by the user 'RAVI KUMAR' ( https://stackoverflow.com/u/12977250/ ) and on the answer https://stackoverflow.com/a/63499743/ provided by the user 'jezrael' ( https://stackoverflow.com/u/2901002/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Create a function that takes in two lists named keys and values as arguments and return a dataframe

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Creating a DataFrame from Two Lists in Python Using Pandas

Creating a DataFrame from two lists can be a common task in data manipulation. If you're learning Python and specifically using the Pandas library, you might run into issues when trying to create a DataFrame from these lists. In this post, we'll guide you through the process of doing so effectively and ensure you understand where things may go wrong.

The Problem at Hand

Let's consider an example where we have two lists:

keys: ["One", "Two"]

values: [["X", "Y"], ["A", "B"]]

The objective is to create a Pandas DataFrame that looks like this:

[[See Video to Reveal this Text or Code Snippet]]

However, some learners might encounter a problem when trying to implement this. For instance, you may write the following code:

[[See Video to Reveal this Text or Code Snippet]]

Here, the result is not what you were expecting. In fact, it may only show zeros or empty DataFrames. Let’s break down how to correctly create the DataFrame.

The Solution: Creating the DataFrame

To correctly create a DataFrame with the provided keys and values, follow these steps:

1. Function Definition

Define a function that takes two parameters: keys and values. Be mindful of the correct spelling of your parameters since errors can lead to confusion.

[[See Video to Reveal this Text or Code Snippet]]

2. Creating the DataFrame

You can use the pd.DataFrame constructor directly, passing in the values list and the index set to keys. The .T method transposes the DataFrame, switching rows with columns to achieve the desired layout.

3. Example Usage

Here’s how you would call the function with your lists:

[[See Video to Reveal this Text or Code Snippet]]

4. Output Explanation

The printed output will yield:

[[See Video to Reveal this Text or Code Snippet]]

This result is exactly what we wanted, with the keys on the columns and the values correctly aligned beneath them.

Conclusion

Creating a DataFrame from two lists in Python using the Pandas library is a straightforward process if approached correctly. By defining the function properly and understanding the use of pd.DataFrame, anyone can manage data efficiently in Pandas. If you've faced issues before, try revising your code according to the steps outlined above. Happy coding!

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