cancel
Showing results for 
Search instead for 
Did you mean: 

Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.

Reply
santiago_ortiz
Frequent Visitor

Differences in well-log plotting between Jupyter Notebook and Power BI

I'm using python visuals for plotting 2 columns (DEPTH and GR) of a Well-Log dataset in a "vertical line chart".

 

The target chart looks like this:

santiago_ortiz_0-1681943571674.png

 

The Python script in jupyter notebook is pretty simple:

 

import lasio
file_path = "Well-Logs-and-Petrophysics/Data/15-9-19_SR_COMP.LAS"
las = lasio.read(file_path)
df = las.df()
df.reset_index(drop=False, inplace=True)
df.rename(columns={'index': 'Index', 'DEPT':'DEPTH'}, inplace=True)
df.dropna(how='any', axis=0, inplace=True)

x = df['GR']
y = df['DEPTH']
plt.plot(x, y)

 

 

For loading the data into Power BI, I'm using the same firsts lines to read (and clean) the LAS file as a dataframe.

 

Finally, I'm using the using the following code for the python visual:

 

import matplotlib.pyplot as plt 

dataset.plot(kind='line', x='GR', y='DEPTH')
plt.show()

 

 

But the image plotted is the following:

santiago_ortiz_2-1681944116200.png

Summary:

The python script is the same as in jupyter notebook, than in power bi, but power BI is not plotting the same way.

 

Question:

What is happening, and how to achieve desired well-log visualization in Power BI using Python visuals

0 REPLIES 0

Helpful resources

Announcements
PBI November 2023 Update Carousel

Power BI Monthly Update - November 2023

Check out the November 2023 Power BI update to learn about new features.

Community News

Fabric Community News unified experience

Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.

Power BI Fabric Summit Carousel

The largest Power BI and Fabric virtual conference

130+ sessions, 130+ speakers, Product managers, MVPs, and experts. All about Power BI and Fabric. Attend online or watch the recordings.

Top Solution Authors
Top Kudoed Authors