Data Analysis with Python Projects - Medical Data Visualizer-Heatmap-values

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Hello, I created my script in jupiter using collab, and tested it over and over but when I run it on replit the heatmap does not show the annot values , even when the test module retrieves those values, the output just shows [‘–’ , ‘–’]. the actual correlation values are working but it is not showing in the heatmap.
Appreciate any help

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here is the link to the code

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Challenge: Data Analysis with Python Projects - Medical Data Visualizer

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Still looking into this, but I think all of the code in your heatmap function is ok. If I replace the whole function with my function that works (and is almost exactly the same anyways) I get the same error.

The problem might be before this function starts.

How did you create the replit? Did you import it normally from github as it shows on the project page?

I think there’s something wrong with your replit. I would fork it from the boilerplate again and copy your code back in. Here it is:

I did this and I was able to get it to generate a heatmap with values and get rid of that strange [‘–’ , ‘–’] behaviour.

Thank you for the reply!
I did import it from github at first but with the poetry and other pyproject file that comes with it , does not let me run pandas , the console keeps telling me there is no module called pandas even though replit says they are installed, so I deleted them and reinstalled all the packages

Thank you! I was able to solve the issue and pass the test!

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So, i’m having the same problem, and tried to fork it from the link you provided ( fcc-medical-data-visualizer - Replit)

And after checking to run my code with the forked file, i noticed there’s a difference on the test module file heatmap that caused an error. There’s an extra ‘blank’ element that doesn’t exists if you directly import from the project

This is the result from the fork (fcc-medical-data-visualizer - Replit)

This is from the import directly from the project

Should i just delete these extra elements to fix the error ?

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Good find! :clap: :metal:

That is very strange. In my own working fork, it doesn’t have those extra ''s, so good idea to go ahead and remove them.

Reported this here:

Thanks! I’ll just delete the extra ''s.

That is strange that not everyone having this issue.
I guess there 's some error during the forking process on my end or issues on my browser ?
I’ve tried to fork it multiple times, and there’s always the extras ''s.

When you’re facing an issue where the annotation values in your seaborn heatmap are not showing up as expected in Replit compared to your Jupyter notebook, there are a few potential reasons for this behavior. Here are some steps you can take to troubleshoot and address the issue:

Check Dependencies:
Confirm that you have all the necessary libraries installed in your Replit environment. If you are using any external libraries that are not part of the default Replit environment, you might need to install them. You can include the installations at the beginning of your script.
!pip install seaborn

Version Compatibility
Ensure that the versions of the libraries you are using in Replit are compatible with the code you wrote in Jupyter. Sometimes, differences in library versions can lead to unexpected behavior.

Rendering in Replit
Replit has its way of rendering graphics and visualizations. If you are using a feature in your Jupyter Notebook that relies on a specific rendering environment, it might not work the same way in Replit. Consider checking the documentation or forums for Replit to see if there are any specific guidelines for visualizations.

Explicitly Displaying the Plot
In Jupyter notebooks, plots are often automatically displayed. In other environments, you may need to explicitly use or a similar function to display the plot.

import matplotlib.pyplot as plt
import seaborn as sns
Your heatmap code here # Add this line to explicitly display the plot

Interactive Plots
If you are using any interactive features in your Jupyter notebook, they might not work the same way in other environments. Ensure that your code does not rely on specific Jupyter-specific interactive features.

Add crm data enrichment tools, including print statements or use Replit’s debugging features to inspect the values and properties of the heatmap. This can help identify any differences between the behavior in Jupyter and Replit.

By addressing these points, you should be able to troubleshoot and resolve the issue with the annotation values not showing up in your heatmap on Replit. If the problem persists, providing more details about your code and any error messages you encounter would help in providing more specific assistance.

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