porespy.metrics.props_to_DataFrame#

porespy.metrics.props_to_DataFrame(regionprops)#

Create a pandas DataFrame containing all the scalar metrics for each region, such as volume, sphericity, and so on, calculated by regionprops_3D.

Parameters:: regionprops (list) – This is a list of properties for each region that is computed by regionprops_3D. Because regionprops_3D returns data in the same list format as the regionprops function in Skimage you can pass in either.
Returns:: DataFrame – A Pandas DataFrame with each region corresponding to a row and each column corresponding to a key metric. All the values for a given property (e.g. ‘sphericity’) can be obtained as val = df['sphericity']. Conversely, all the key metrics for a given region can be found with df.iloc[1].
Return type:: Pandas DataFrame