Density Plot with Pandas¶
- Contributor: Martin Diehl (https://martin-diehl.net)
- DAMASK version: 3.0.0-beta2
- Prerequisites (data): DADF5 file with 1. Piola-Kirchhoff stress ('P') and deformation gradient ('F')
In [1]:
%matplotlib inline
In [2]:
import damask
import pandas as pd
In [3]:
# adjust to your situation, file needs to exist
result_file = 'densityplot/20grains16x16x16_tensionX.hdf5'
In [4]:
result = damask.Result(result_file)
result = result.view(increments=-1) # only view last increment
result = result.view(homogenizations=False) # do not consider homogenization results
In [5]:
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'))
