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Скачать или смотреть Display 2 Numbers in a DataFrame Cell: A Clear Guide to Merging DataFrames

  • vlogize
  • 2025-09-15
  • 1
Display 2 Numbers in a DataFrame Cell: A Clear Guide to Merging DataFrames
Display 2 Numbers in Dataframe celldataframecell
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Описание к видео Display 2 Numbers in a DataFrame Cell: A Clear Guide to Merging DataFrames

Learn how to display two numbers in a single DataFrame cell by merging two DataFrames and separating values with slashes or commas in R.
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This video is based on the question https://stackoverflow.com/q/62655781/ asked by the user 'DuesserBaest' ( https://stackoverflow.com/u/13840270/ ) and on the answer https://stackoverflow.com/a/62655846/ provided by the user 'GKi' ( https://stackoverflow.com/u/10488504/ ) 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: Display 2 Numbers in Dataframe cell

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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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How to Display Two Numbers in a DataFrame Cell: A Step-by-Step Guide

If you're working with data in R, you may encounter situations where you want to merge two DataFrames while retaining the original values from each. A common issue arises when you wish to display two numbers in a single cell, separated by specific characters like slashes (/) or commas (,). This guide will tackle this problem and provide an easy-to-follow approach to achieve the desired output.

The Problem

Let's say you have two DataFrames, df1 and df2, that have the same row and column names. Your goal is to merge these DataFrames so that each cell in the new DataFrame (df3) contains the values from both df1 and df2 separated by a chosen character. Here’s a brief example of what your input DataFrames might look like:

Input DataFrames

DataFrame 1 (df1):

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

DataFrame 2 (df2):

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

Expected Output

You would like to create a new DataFrame (df3) that looks like this:

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

The Solution

To achieve this output, you can use the mapply function along with paste in R. Here’s a detailed breakdown of how to do it step by step.

Step 1: Use mapply to Combine DataFrames

The mapply function allows you to apply a function to multiple vectors or lists in a parallel manner. In this case, we will use it to combine the corresponding elements of df1 and df2.

Here’s the code you can use:

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

In this line:

paste is the function that combines the values,

df2 and df1 are the DataFrames being merged,

sep="/" specifies that the values will be separated by a slash.

Step 2: Set Row Names

Since row names are not included in the output by default, you need to specify them manually. Use the following code to assign the row names from df1 to df3:

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

This ensures that your new DataFrame retains the appropriate row labels.

Final Code Example

Here’s the complete code that you would run in R:

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

Conclusion

By following these simple steps, you can efficiently merge two DataFrames in R while displaying their values in the desired format. Whether you're separating values with slashes, commas, or other characters, R offers flexible tools to manipulate your data effectively. Don't hesitate to adapt this method to suit your specific needs.

Now, go ahead and experiment with your own DataFrames and see how you can easily visualize combined data in a single cell!

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