02b Spatial Data Analytics: Tabular Data in Python

Demonstration of the basics of working with tabular data (well data) in Pandas DataFrames in Python.

This will be essential for building subsurface modeling workflows in Python with NumPy, Pandas, MatPlotLib and GeostatsPy / GSLIB.

[mohammedmohammed-oxjn]

Thanks a lot.
Excellent explanation with details.

[luisandrade]

Now that 'set_value' Pandas command is no longer valid, we can use at[ ] instead:
df.at[1, 'porosity']=np.NaN replaces df.set_value(1, 'porosity', np.NaN)
df.at[2, 'porosity']=0.1000 replaces df.set_value(2, 'porosity', 0.1000)