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The HIST.nc file¶
The HIST.nc file contains the history of structural relaxations or molecular dynamics calculations.
One can use the abiopen function provide by abilab to open the file and generate an instance of HistFile.
Alteratively, one can use the abiopen.py script to open the file inside the shell with the syntax:
abiopen.py out_HIST.nc
This command will start the ipython interpreter so that one can interact directly
with the HistFile object (named abifile inside ipython).
To generate a jupyter notebook use:
abiopen.py out_HIST.nc -nb
For a quick visualization of the data, usei the --expose option:
abiopen.py out_HIST.nc -e# Use this at the beginning of your script so that your code will be compatible with python3
from __future__ import print_function, division, unicode_literals
import warnings
warnings.filterwarnings("ignore") # Ignore warnings
from abipy import abilab
abilab.enable_notebook() # This line tells AbiPy we are running inside a notebook
import abipy.data as abidata
# This line configures matplotlib to show figures embedded in the notebook.
# Replace `inline` with `notebook` in classic notebook
%matplotlib inline
# Option available in jupyterlab. See https://github.com/matplotlib/jupyter-matplotlib
#%matplotlib widget
hist = abilab.abiopen(abidata.ref_file("sic_relax_HIST.nc"))
print("Number of iterations performed:", hist.num_steps)
hist.structures is the list of structure objects at the different iteration steps.
hist.etotals is a numpy array with the total energies in eV associated to the different steps.
for struct, etot in zip(hist.structures, hist.etotals):
print("Volume:", struct.volume,", Etotal:", etot)
To get the last structure stored in the HIST.nc file:
print(hist.final_structure)
To plot the evolution of the structural parameters with matplotlib:
hist.plot(tight_layout=True);
To plot the total energies at the different iterations steps:
hist.plot_energies();
Converting to other formats¶
Use to_xdatcar to get a XDATCAR pymatgen object (useful to interface AbiPy with other pymatgen tools)
# hist.write_xdatcar writes a XDATCAR file
xdatcar = hist.to_xdatcar()
print(xdatcar)
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