Density Plot with Pandas

• Contributor: Martin Diehl (https://martin-diehl.net)

• DAMASK version: 3.0.2

• Prerequisites (data): DADF5 file with 1. Piola-Kirchhoff stress (‘P’) and deformation gradient (‘F’)

%matplotlib inline

import damask
import pandas as pd

# adjust to your situation, file needs to exist
result_file = 'densityplot/20grains16x16x16_tensionX.hdf5'

result = damask.Result(result_file)
result = result.view(increments=-1)            # only view last increment
result = result.view(homogenizations=False)    # do not consider homogenization results

df = pd.DataFrame({'F_11':result.get('F')[:,0,0],
                   'P_11':result.get('P')[:,0,0]})
_ = df.plot.hexbin(x='F_11',y='P_11',gridsize=20,
                   cmap=damask.Colormap.from_predefined('strain'))