Python Plotly Tutorial - Creating Well Log Plots - Plotly Graph Objects and Plotly Express

Data visualization is an import part of working with data and Python has many libraries that allow you to display a wide range of charts. In this video we go over the basics of the Plotly library to display well log data on a simple, but interactive log plot.
DOWNLOAD NOTEBOOK & DATA
Data and notebooks for my entire CZcams series can now be found here:
github.com/andymcdgeo/Andys_Y...
REFERENCES & LIBRARIES
Plotly Library: plotly.com/python/
NLOG Database: www.nlog.nl/
If you haven't already, make sure you subscribe to the channel: / @andymcdonald42
-----
Books I Recommend:
As an Amazon Associate I earn from qualifying purchases. By buying through any of the links below I will earn commission at no extra cost to you.
PYTHON FOR DATA ANALYSIS: Data Wrangling with Pandas, NumPy, and IPython
UK: amzn.to/3HNycJ9
US: amzn.to/3DL7qPv
FUNDAMENTALS OF PETROPHYSICS
UK: amzn.to/3l1PgSf
PETROPHYSICS: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties
UK: amzn.to/30UNWZS
US: amzn.to/3DNqBbd
WELL LOGGING FOR EARTH SCIENTISTS
UK: amzn.to/3FHsbfn
US: amzn.to/3CILAuE
GEOLOGICAL INTERPRETATION OF WELL LOGS
UK: amzn.to/3l2v2HV
US: amzn.to/30UOTkU
-----
Thanks for watching, if you want to connect you can find me at the links below:
/ andymcdonaldgeo
/ geoandymcd
/ andymcdonaldgeo
www.andymcdonald.scot/
Be sure to sign up for my newsletter to be kept updated when I post and share new content on CZcams and Medium.
www.getrevue.co/profile/andym...
#petrophysics #python #geoscience #plotly

[@mohammadkeshtkar9655]

This video is very fantastic .Thank you Andy

[@AndyMcDonald42]

You are very welcome

[@AndyBrickell]

very easy to understand and follow, thanks Andy

[@AndyMcDonald42]

Glad to hear that :)

[@heirofsam]

This is Awesome. Thanks man!

[@texasfossilguy]

this is a good start to making something with functionality. I think showing how to plot multiple curves on one chart would have been good also to make it look like standard charts.

[@AndyMcDonald42]

Just catching up with comments. Sorry for the late reply.
Yes it is possible, but it is a little bit tricky with Plotly compared to using matplotlib. It is something I am planning to look into.

[@josedavidbastoaguirre2099]

you are my hero!!!

[@AndyMcDonald42]

Thanks 👍

[@geraldmogi2937]

Hello Andy, thanks for the great tutorial. I have a question, do you know how to create/calculate the trend log such as DT Sonic trend line (Normal Compaction Trend)? And how to filter the spike log values (despike)?

[@MerekRoman]

fantastic video would love to see how I can add data to each point i.e. formation, mud viscosity etc

[@AndyMcDonald42]

Great suggestion!

[@igorsouza2333]

Very nice! Is it possible to select specific parts from df to handle with others pourposes? such as ML.

[@AndyMcDonald42]

Thanks Igor. Do you mean selecting columns from the dataframe or rows? If so, the answer is yes. :)
I would recommend having a look at this article on how to achieve that: datacarpentry.org/python-ecology-lesson/03-index-slice-subset/

[@serdarbayramov996]

Hi Andy, thanks for this video. Assuming if I have two depth columns, let's say, MD and TVD, how can I have them both shared among all columns. In your example, you showed how we can share only one column of depth, but I wonder if we can share the second y_axis (TVD) just alongside the MD and share among the columns. I attempted this by creating the secondary y_axis, but I couldn't; find a way to share it.

[@AndyMcDonald42]

Hi Serdar. This is not something I have tested out yet, but I would have thought adding a secondary axis as outlined in the plotly docs would do it: plotly.com/python/multiple-axes/
Have you tried this one?

[@porter3277]

Wowwwwww

[@ricardoperez2490]

what is your jupyter theme sir?

[@AndyMcDonald42]

Hi Ricardo, This is the default jupyter theme

[@ricardoperez2490]

@@AndyMcDonald42 Hello Mr. Interesting, I also use the default theme, but it seems you have coloured some features. Thank you for your reactivity

[@user-yh2er3cr9j]

Do you know how to set the x-axis range for the log plots to show a little padding? I used fig.update_xaxes(range=[min, max]) but it sets the x-axis range to the same values for all three plots even though I did this for all three subplots separately.

[@user-yh2er3cr9j]

No worries, I figured it out right after posting. It was standard "user error" on my part. range=[min, max] works as advertised when implemented properly.