Creating Geospatial Heatmaps With Plotly Express MapBox and Folium in Python - Data Visualisation

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  • Опубліковано 19 вер 2024

КОМЕНТАРІ • 10

  • @gmostafaali
    @gmostafaali 10 місяців тому

    This is an excellent tutorial. Thank you Mr Andy!

  • @chipsoldan7825
    @chipsoldan7825 10 місяців тому

    Thanks! I learned something new today!

  • @thiagoaamorim3219
    @thiagoaamorim3219 8 місяців тому

    Very good tutorial!

  • @JuanCamilo-rn7vy
    @JuanCamilo-rn7vy 10 місяців тому

    Nice video, could you please upload more videos about IA and Machine Learning in geosciences?

    • @AndyMcDonald42
      @AndyMcDonald42  10 місяців тому

      I am planning to. 🙂 Any algorithms in particular or geoscience problems that you would like to see?

  • @smilefaxxe2557
    @smilefaxxe2557 7 місяців тому

    thanks! that was helpful!

  • @mdaneesau
    @mdaneesau 10 місяців тому

    Thank you Andy for sharing this. really useful. From this i assume you are taking some mean value of DT for each well to plot this on heatmap. I was wondering if we can just pass whole depth log curve data of each well into it and create the map on different tops and if possible we can get a slice of the distribution of particular property at any particular depth? If you could please give your feedback on this, please.

    • @AndyMcDonald42
      @AndyMcDonald42  10 місяців тому

      Yes, you are correct. I have essentially taken the average of the DT curve within a formation and then plotted it on the map. With a little bit of logic and extra code to calculate the means for the different formations, what you are suggesting should be possible. Especially if you combine it with Streamlit, which I have covered in my latest video. This will allow you to develop the front end and allow you/users to chose the data and the formation

  • @issahaddad7071
    @issahaddad7071 10 місяців тому

    Great video Andy, could you please share the csv file so I can follow along?

  • @petroali6412
    @petroali6412 10 місяців тому