Please share the video about the explanation reading the scatter plot and pairplot, because I still confuse how to read the plot, the correlation and relationships for each dot!
Thank you so much for makinf this videos available, Can't wait for the fourth Tutorial for displaying Core data, there's codes that i didn't understand much especially the polyfit code line, I think it's M.L.
I really appreciate what you are doing, i was thinking how to aproach oil engineering to data visualization and also ML models, you make it easier, and interesting. Thank you!!!
This should be possible, but it will require a little bit of manual work. I would recommend having a look at the documentation on building a LAS file from scratch at the link below. It may be possible to do it from a pandas dataframe, but you should be able to do it from a numpy array as per the example. I will add this onto my list of videos to make as this would be a good topic to cover. lasio.readthedocs.io/en/latest/building.html
Thanks for this video. It’s possible to built the Gamma Ray bar custom colours instead of picking the rainbow? For example make low GR values in yellow and high brown?
Hi Karen, you certainly can make your own colourmaps. I can cover that in a future video if it is of interest? But in the meantime, I would recommend using the existing "YlOrBr" colour map, which is one I have used numerous times for the GR shading. You can find a full list here: matplotlib.org/2.0.2/examples/color/colormaps_reference.html For a custom map, you could use: import matplotlib cmap = matplotlib.colors.LinearSegmentedColormap.from_list("", ["yellow","orange","brown"])
Symbols can be changed using the marker argument in plt.scatter If you want to change the marker based on a category, you could follow the suggestion here: stackoverflow.com/questions/44802561/python-plot-scatter-plot-with-category-and-markersize It involves a bit more code and looping through the categories after you have applied groupby to the dataframe.
