วีดีโอ

honestly the best tutorial around for this stuff. Thanks!

I just realize norway looks like a woman giving a middle finger

Hello, Thank you for your Tutorial, I have an issue tryng to plot multiples curves, this is my function: tracks = [''LSPD', 'LTEN', 'GR', 'CCL', 'QP', 'TEMP', 'ILS', 'CFS'] well.plot(tracks=tracks) this is the error: C:\Users\lguevara\AppData\Local\anaconda3\Lib\site-packages\welly\curve.py:470: FutureWarning: Index.is_numeric is deprecated. Use pandas.api.types.is_any_real_numeric_dtype instead if self.df.index.is_numeric() and not self.df.index.empty: --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[42], line 2 1 tracks = ['LSPD', 'LTEN', 'GR', 'CCL', 'QP', 'TEMP', 'ILS', 'CFS'] ----> 2 well.plot(tracks=tracks) File ~\AppData\Local\anaconda3\Lib\site-packages\welly\well.py:701, in Well.plot(self, legend, tracks, track_titles, alias, basis, extents, **kwargs) 669 def plot(self, 670 legend=None, 671 tracks=None, (...) 675 extents='td', 676 **kwargs): 677 """ 678 Plot multiple tracks. Wrapping plot function from plot.py. 679 By default only show the plot, not return the figure object. (...) 699 None. The plot is a side-effect. 700 """ --> 701 return plot_well(well=self, 702 legend=legend, 703 tracks=tracks, 704 track_titles=track_titles, 705 alias=alias, 706 basis=basis, 707 extents=extents, 708 **kwargs) File ~\AppData\Local\anaconda3\Lib\site-packages\welly\plot.py:234, in plot_well(well, legend, tracks, track_titles, alias, basis, extents, **kwargs) 232 raise WellPlotError(m) 233 if not lower: --> 234 lower = basis[-1] 235 elif extents == 'all': 236 raise NotImplementedError("You cannot do that yet.") IndexError: index -1 is out of bounds for axis 0 with size 0

I would appreciate if you help me by sharing your ideas about implementing machine learning models in gas turbine power plants.do you know a resource especially gives me ideas in this regard.

Wow, that was great! just subscribed!

Awesome thanks you

Thanks

Holy bar_label! I’d never see that before! I’ve still been using for-loops to set the data labels all this time!

Thanks a lot Andy!

woww easily understood! gonna practice it`!

that was very helpful, keep it up 👍

can you share the data used in this tutorial?

Superb teaching

This video really saved my bacon when I had a short deadline and a .LAS file sent my way unexpectedly. Thanks for this valuable well-presented knowledge.

Thank you. I found this video insightful and very impressive.

What an amazing tutorial! Thank you!

Hi Andy, I am trying to install Lasio but I got an error. ModuleNotFoundError: No module named 'lasio'

Why are they useful? Do we know what qualities does these clusters have? Are they meaningful if we have lots of variables?

I'm using k-means for the first time. my dataset has more than 400,000 rows and 11 columns, I run the k-means for k= 3, 5, 7, 9, and 10. it took more than 3 hours and still no output. is that normal?

Where is the meaning the columns of Data?

Can I use anaconda to code this

Very nice explanation.

Is there any way for you to automate spike removal in log data?

Thank you!

You’re a star. Thank you. Subscribed… very well explained

criminally underrated channel! Your explanations are superb

Great video

Has anyone had an issue with In[9] when running from Jupyter Lab? Have fully checked for any spelling errors. The assignment and new columns seems to try to access. KeyError: "None of [Index(['RHOB_T', 'GR_T'. 'NPHI_T', 'PEF_T', 'DTC_T'], dtype='object')] are in the [columns]"

great tutorial, thank you.

I wonder if something has broken since this video has come out. I am trying PyGwalker for the first time When I go `pyg.walk(df)` The resulting sell hangs at "Loading Graphical Walker UI" and doesn't go anywhere This happens on Firefox and Chrome. Any ideas how to resolve?

Very nice work but I need to export the values of the predicted log to upload it on the system as a Las file

Hi, the st.session_state only worked to allow other pages have access to that file, but the main page refreshes and lose that data still. Any comments on this?

hi. thank you for this wonderful tutorial. where do you recommend choosing data sets from?

Great tutorial! This was verry helpful, thanks

I am a reservoir engineer interested in coding. I have just started my career with one of the biggest oil companies in the world. Trust me when I say this, I have just found your channel and it feels like I have found a treasure. I haven't watched any of your videos yet, but I am just thankful enough that you are paving the way for code integration in the oil and gas industry. Cheers.

nice!

The code and data for this video can be found as part of my Petrophysics & Python Series on Github: github.com/andymcdgeo/Petrophysics-Python-Series Direct Notebook Link: github.com/andymcdgeo/Petrophysics-Python-Series/blob/master/33%20-%20Auto%20Outlier%20Detection%20-%20Isolation%20Forest.ipynb Data Folder: github.com/andymcdgeo/Petrophysics-Python-Series/tree/master/Data

This guy talks way too fast and isn't clear. He may be brilliant, but i don't think he should be an educator.

My data tab is showing no values after writing pyg.walk(dataframe_name)... can someone help please?

Thank you! and appreciate your content.

Thank you for sharing.

Why is the pages directory not located inside the src directory?

Thanks!

helped a lot, thanks

Is there a way I can get this exact dataset?

Thanks for sharing sir Andy, i got an issue with the well.plot command = not showing the curve plot. The output is : Axes(0.125,0.11;0.775x0.77). Hope you can answer it while I'm finding the solution as well. 🙏🙏

I haven't found a single video that basically explains what lines 8, 9 and 10. Some videos talk about trees but are too generic and don't give real examples in the nodes. Videos like this shows the code but don't talk about how any of this is related to an actual tree or set of logic. How the heck are we getting there? Also, I don't think you showed an example row of data. Are all of the data numbers?

There is one issue with PyGwalker in Python and R you can't count of the city names in a chart meanwhile in Powerbi you can do it easily to see the count of each city. Is there any solution?

Here in 2024. This saved me a huge amount of time. Thank you so much.