dpdata is a python package for manipulating DeePMD-kit, VASP, LAMMPS data formats. dpdata only works with python 3.x.
One can download the source code of dpdata by
git clone https://github.com/deepmodeling/dpdata.git dpdata
then use setup.py
to install the module
cd dpdata
python setup.py install
dpdata
can also by install via pip
pip3 install dpdata
This section gives some examples on how dpdata works. Firstly one needs to import the module in a python 3.x compatible code.
import dpdata
The typicall workflow of dpdata
is
- Load data from vasp or lammps or deepmd-kit data files.
- Manipulate data
- Dump data to in a desired format
d_poscar = dpdata.System('POSCAR', fmt = 'vasp/poscar')
or let dpdata infer the format (vasp/poscar
) of the file from the file name extension
d_poscar = dpdata.System('my.POSCAR')
The number of atoms, atom types, coordinates are loaded from the POSCAR
and stored to a data System
called d_poscar
.
A data System
(a concept used by deepmd-kit) contains frames that has the same number of atoms of the same type. The order of the atoms should be consistent among the frames in one System
.
It is noted that POSCAR
only contains one frame.
If the multiple frames stored in, for example, a OUTCAR
is wanted,
d_outcar = dpdata.LabeledSystem('OUTCAR')
The labels provided in the OUTCAR
, i.e. energies, forces and virials (if any), are loaded by LabeledSystem
. It is noted that the forces of atoms are always assumed to exist. LabeledSystem
is a derived class of System
.
The System
or LabeledSystem
can be constructed from the following file formats with the format key
in the table passed to argument fmt
:
Software | format | multi frames | labeled | class | format key |
---|---|---|---|---|---|
vasp | poscar | False | False | System | 'vasp/poscar' |
vasp | outcar | True | True | LabeledSystem | 'vasp/outcar' |
vasp | xml | True | True | LabeledSystem | 'vasp/xml' |
lammps | lmp | False | False | System | 'lammps/lmp' |
lammps | dump | True | False | System | 'lammps/dump' |
deepmd | raw | True | False | System | 'deepmd/raw' |
deepmd | npy | True | False | System | 'deepmd/npy' |
deepmd | raw | True | True | LabeledSystem | 'deepmd/raw' |
deepmd | npy | True | True | LabeledSystem | 'deepmd/npy' |
gaussian | log | False | True | LabeledSystem | 'gaussian/log' |
gaussian | log | True | True | LabeledSystem | 'gaussian/md' |
siesta | output | False | True | LabeledSystem | 'siesta/output' |
siesta | aimd_output | True | True | LabeledSystem | 'siesta/aimd_output' |
cp2k | output | False | True | LabeledSystem | 'cp2k/output' |
cp2k | aimd_output | True | True | LabeledSystem | 'cp2k/aimd_output' |
QE | log | False | True | LabeledSystem | 'qe/pw/scf' |
QE | log | True | False | System | 'qe/cp/traj' |
QE | log | True | True | LabeledSystem | 'qe/cp/traj' |
Fhi-aims | output | True | True | LabeledSystem | 'fhi_aims/md' |
Fhi-aims | output | False | True | LabeledSystem | 'fhi_aims/scf' |
quip/gap | xyz | True | True | MultiSystems | 'quip/gap/xyz' |
PWmat | atom.config | False | False | System | 'pwmat/atom.config' |
PWmat | movement | True | True | LabeledSystem | 'pwmat/movement' |
PWmat | OUT.MLMD | True | True | LabeledSystem | 'pwmat/out.mlmd' |
Amber | multi | True | True | LabeledSystem | 'amber/md' |
Gromacs | gro | False | False | System | 'gromacs/gro' |
The Class dpdata.MultiSystems
can read data from a dir which may contains many files of different systems, or from single xyz file which contains different systems.
Use dpdata.MultiSystems.from_dir
to read from a directory, dpdata.MultiSystems
will walk in the directory
Recursively and find all file with specific file_name. Supports all the file formats that dpdata.LabeledSystem
supports.
Use dpdata.MultiSystems.from_file
to read from single file. Now only support quip/gap/xyz format file.
For example, for quip/gap xyz
files, single .xyz file may contain many different configurations with different atom numbers and atom type.
The following commands relating to Class dpdata.MultiSystems
may be useful.
# load data
xyz_multi_systems = dpdata.MultiSystems.from_file(file_name='tests/xyz/xyz_unittest.xyz',fmt='quip/gap/xyz')
vasp_multi_systems = dpdata.MultiSystems.from_dir(dir_name='./mgal_outcar', file_name='OUTCAR', fmt='vasp/outcar')
# use wildcard
vasp_multi_systems = dpdata.MultiSystems.from_dir(dir_name='./mgal_outcar', file_name='*OUTCAR', fmt='vasp/outcar')
# print the multi_system infomation
print(xyz_multi_systems)
print(xyz_multi_systems.systems) # return a dictionaries
# print the system infomation
print(xyz_multi_systems.systems['B1C9'].data)
# dump a system's data to ./my_work_dir/B1C9_raw folder
xyz_multi_systems.systems['B1C9'].to_deepmd_raw('./my_work_dir/B1C9_raw')
# dump all systems
xyz_multi_systems.to_deepmd_raw('./my_deepmd_data/')
You may also use the following code to parse muti-system:
from dpdata import LabeledSystem,MultiSystems
from glob import glob
"""
process multi systems
"""
fs=glob('./*/OUTCAR') # remeber to change here !!!
ms=MultiSystems()
for f in fs:
try:
ls=LabeledSystem(f)
except:
print(f)
if len(ls)>0:
ms.append(ls)
ms.to_deepmd_raw('deepmd')
ms.to_deepmd_npy('deepmd')
These properties stored in System
and LabeledSystem
can be accessed by operator []
with the key of the property supplied, for example
coords = d_outcar['coords']
Available properties are (nframe: number of frames in the system, natoms: total number of atoms in the system)
key | type | dimension | are labels | description |
---|---|---|---|---|
'atom_names' | list of str | ntypes | False | The name of each atom type |
'atom_numbs' | list of int | ntypes | False | The number of atoms of each atom type |
'atom_types' | np.ndarray | natoms | False | Array assigning type to each atom |
'cells' | np.ndarray | nframes x 3 x 3 | False | The cell tensor of each frame |
'coords' | np.ndarray | nframes x natoms x 3 | False | The atom coordinates |
'energies' | np.ndarray | nframes | True | The frame energies |
'forces' | np.ndarray | nframes x natoms x 3 | True | The atom forces |
'virials' | np.ndarray | nframes x 3 x 3 | True | The virial tensor of each frame |
The data stored in System
or LabeledSystem
can be dumped in 'lammps/lmp' or 'vasp/poscar' format, for example:
d_outcar.to('lammps/lmp', 'conf.lmp', frame_idx=0)
The first frames of d_outcar
will be dumped to 'conf.lmp'
d_outcar.to('vasp/poscar', 'POSCAR', frame_idx=-1)
The last frames of d_outcar
will be dumped to 'POSCAR'.
The data stored in LabeledSystem
can be dumped to deepmd-kit raw format, for example
d_outcar.to('deepmd/raw', 'dpmd_raw')
Or a simpler command:
dpdata.LabeledSystem('OUTCAR').to('deepmd/raw', 'dpmd_raw')
Frame selection can be implemented by
dpdata.LabeledSystem('OUTCAR').sub_system([0,-1]).to('deepmd/raw', 'dpmd_raw')
by which only the first and last frames are dumped to dpmd_raw
.
dpdata will create a super cell of the current atom configuration.
dpdata.System('./POSCAR').replicate((1,2,3,) )
tuple(1,2,3) means don't copy atom configuration in x direction, make 2 copys in y direction, make 3 copys in z direction.
By the following example, each frame of the original system (dpdata.System('./POSCAR')
) is perturbed to generate three new frames. For each frame, the cell is perturbed by 5% and the atom positions are perturbed by 0.6 Angstrom. atom_pert_style
indicates that the perturbation to the atom positions is subject to normal distribution. Other available options to atom_pert_style
areuniform
(uniform in a ball), and const
(uniform on a sphere).
perturbed_system = dpdata.System('./POSCAR').perturb(pert_num=3,
cell_pert_fraction=0.05,
atom_pert_distance=0.6,
atom_pert_style='normal')
print(perturbed_system.data)