Thanks Tim. Interesting suggestion. Would you be suggesting appending the dataframes generated in the for loop to something like a pickle file?
Would there be any memory issues holding that file open while all las files are being read and appended?
Thanks Tim. Interesting suggestion. Would you be suggesting appending the dataframes generated in the for loop to something like a pickle file?
Would there be any memory issues holding that file open while all las files are being read and appended?
Creating Boxplots Using Matplotlib in Python Understand your data distribution and identify outliers in petrophysics and well log data using boxplots Multiple boxplots with different y-axis ranges generated using matplotlib in python. Image by author. Boxplots are a great tool for data visualisation, they can be used to understand the distribution of your data, whether it is skewed…
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Porosity-Permeability Relationships Using Linear Regression in Python A short guide on applying a linear regression in Python to semi-log data Photo by Ekaterina Novitskaya on Unsplash Core data analysis is a key component in the evaluation of a field or discovery, as it provides direct samples of the geological formations in the subsurface over the interval of interest….
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