Source code for MDAnalysis.analysis.atomicdistances
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r"""
Simple atomic distance analysis --- :mod:`MDAnalysis.analysis.atomicdistances`
==============================================================================
:Author: Xu Hong Chen
:Year: 2023
:Copyright: Lesser GNU Public License v2.1+
This module provides a class to efficiently compute distances between
two groups of atoms with an equal number of atoms over a trajectory.
Specifically, for two atom groups ``ag1`` and ``ag2``, it will return
the distances
.. math::
|ag1[i] - ag2[i]|
for all :math:`i` from :math:`0` to `n_atoms` :math:`- 1`, where
`n_atoms` is the number of atoms in each atom group. By default,
this computation is done with periodic boundary conditions, but this
can be easily turned off. These distances are grouped by time step in
a NumPy array.
For more general functions on computing distances between atoms or
groups of atoms, please see :class:`MDAnalysis.analysis.distances`.
See Also
--------
:mod:`MDAnalysis.analysis.distances`
:mod:`MDAnalysis.lib.distances`
Basic usage
-----------
This example uses files from the MDAnalysis test suite
(:data:`~MDAnalysis.tests.datafiles.GRO` and
:data:`~MDAnalysis.tests.datafiles.XTC`). To get started, execute ::
>>> import MDAnalysis as mda
>>> from MDAnalysis.tests.datafiles import GRO, XTC
>>> import MDAnalysis.analysis.atomicdistances as ad
We will calculate the distances between an atom group of atoms 101-105
and an atom group of atoms 4001-4005 with periodic boundary conditions.
To select these atoms: ::
>>> u = mda.Universe(GRO, XTC)
>>> ag1 = u.atoms[100:105]
>>> ag2 = u.atoms[4000:4005]
We can run the calculations using any variable of choice such as
``my_dists`` and access our results using ``my_dists.results``: ::
>>> my_dists = ad.AtomicDistances(ag1, ag2).run()
>>> my_dists.results
array([[37.80813681, 33.2594864 , 34.93676414, 34.51183299, 34.96340209],
[27.11746625, 31.19878079, 31.69439435, 32.63446126, 33.10451345],
[23.27210749, 30.38714688, 32.48269361, 31.91444505, 31.84583838],
[18.40607922, 39.21993135, 39.33468192, 41.0133789 , 39.46885946],
[26.26006981, 37.9966713 , 39.14991106, 38.13423586, 38.95451427],
[26.83845081, 34.66255735, 35.59335027, 34.8926705 , 34.27175056],
[37.51994763, 38.12161091, 37.56481743, 36.8488121 , 35.75278065],
[37.27275501, 37.7831456 , 35.74359073, 34.54893794, 34.76495816],
[38.76272761, 41.31816555, 38.81588421, 39.82491432, 38.890219 ],
[39.20012515, 40.00563374, 40.83857688, 38.77886735, 41.45775864]])
To do the computation without periodic boundary conditions, we can enter
the keyword argument ``pbc=False`` after ``ag2``. The result is different
in this case: ::
>>> my_dists_nopbc = ad.AtomicDistances(ag1, ag2, pbc=False).run()
>>> my_dists_nopbc.results
array([[37.80813681, 33.2594864 , 34.93676414, 34.51183299, 34.96340209],
[27.11746625, 31.19878079, 31.69439435, 32.63446126, 33.10451345],
[23.27210749, 30.38714688, 32.482695 , 31.91444505, 31.84583838],
[18.40607922, 39.21992825, 39.33468192, 41.0133757 , 39.46885946],
[26.26006981, 37.99666906, 39.14990985, 38.13423708, 38.95451311],
[26.83845081, 34.66255625, 35.59335027, 34.8926705 , 34.27174827],
[51.86981409, 48.10347964, 48.39570072, 49.14423513, 50.44804292],
[37.27275501, 37.7831456 , 35.74359073, 34.54893794, 34.76495816],
[56.39657447, 41.31816555, 38.81588421, 39.82491432, 38.890219 ],
[39.20012515, 40.00563374, 40.83857688, 38.77886735, 41.45775864]])
"""
import numpy as np
from MDAnalysis.lib.distances import calc_bonds
import logging
from .base import AnalysisBase
logger = logging.getLogger("MDAnalysis.analysis.atomicdistances")
[docs]
class AtomicDistances(AnalysisBase):
r"""Class to calculate atomic distances between two AtomGroups over a
trajectory.
Parameters
----------
ag1, ag2 : AtomGroup
:class:`~MDAnalysis.core.groups.AtomGroup` with the
same number of atoms
pbc : bool, optional
If ``True``, calculates atomic distances with periodic boundary
conditions (PBCs). Setting `pbc` to ``False``, calculates atomic
distances without considering PBCs. Defaults to ``True``.
Attributes
----------
results : :class:`numpy.ndarray`
The distances :math:`|ag1[i] - ag2[i]|` for all :math:`i`
from :math:`0` to `n_atoms` :math:`- 1` for each frame over
the trajectory.
n_frames : int
Number of frames included in the analysis.
n_atoms : int
Number of atoms in each atom group.
.. versionadded:: 2.5.0
"""
def __init__(self, ag1, ag2, pbc=True, **kwargs):
# check ag1 and ag2 have the same number of atoms
if ag1.atoms.n_atoms != ag2.atoms.n_atoms:
raise ValueError("AtomGroups do not "
"have the same number of atoms")
# check ag1 and ag2 are from the same trajectory
elif ag1.universe.trajectory != ag2.universe.trajectory:
raise ValueError("AtomGroups are not "
"from the same trajectory")
super(AtomicDistances, self).__init__(ag1.universe.trajectory,
**kwargs)
self._ag1 = ag1
self._ag2 = ag2
self._pbc = pbc
def _prepare(self):
# initialize NumPy array of frames x distances for results
self.results = np.zeros((self.n_frames, self._ag1.atoms.n_atoms))
def _single_frame(self):
# if PBCs considered, get box size
box = self._ag1.dimensions if self._pbc else None
self.results[self._frame_index] = calc_bonds(self._ag1.positions,
self._ag2.positions,
box)