4.8.2. Linear Density — MDAnalysis.analysis.lineardensity
A tool to compute mass and charge density profiles along the three cartesian axes [xyz] of the simulation cell. Works only for orthorombic, fixed volume cells (thus for simulations in canonical NVT ensemble).
- class MDAnalysis.analysis.lineardensity.LinearDensity(select, grouping='atoms', binsize=0.25, **kwargs)[source]
Linear density profile
- Parameters:
select (AtomGroup) – any atomgroup
grouping (str {'atoms', 'residues', 'segments', 'fragments'}) – Density profiles will be computed either on the atom positions (in the case of ‘atoms’) or on the center of mass of the specified grouping unit (‘residues’, ‘segments’, or ‘fragments’).
binsize (float) – Bin width in Angstrom used to build linear density histograms. Defines the resolution of the resulting density profile (smaller –> higher resolution)
verbose (bool, optional) – Show detailed progress of the calculation if set to
True
- results.x.mass_density
mass density in \(g \cdot cm^{-3}\) in [xyz] direction
- Type:
- results.x.mass_density_stddev
standard deviation of the mass density in [xyz] direction
- Type:
- results.x.charge_density
charge density in \(\mathrm{e} \cdot mol \cdot cm^{-3}\) in [xyz] direction
- Type:
- results.x.charge_density_stddev
standard deviation of the charge density in [xyz] direction
- Type:
- results.x.pos
Alias to the
results.x.mass_density
attribute.Deprecated since version 2.2.0: Will be removed in MDAnalysis 3.0.0. Please use
results.x.mass_density
instead.- Type:
- results.x.pos_std
Alias to the
results.x.mass_density_stddev
attribute.Deprecated since version 2.2.0: Will be removed in MDAnalysis 3.0.0. Please use
results.x.mass_density_stddev
instead.- Type:
- results.x.char
Alias to the
results.x.charge_density
attribute.Deprecated since version 2.2.0: Will be removed in MDAnalysis 3.0.0. Please use
results.x.charge_density
instead.- Type:
- results.x.char_std
Alias to the
results.x.charge_density_stddev
attribute.Deprecated since version 2.2.0: Will be removed in MDAnalysis 3.0.0. Please use
results.x.charge_density_stddev
instead.- Type:
- results.x.hist_bin_edges
edges of histogram bins for mass/charge densities, useful for, e.g., plotting of histogram data.
- Type:
- Note
- Type:
These density units are likely to be changed in the future.
Example
First create a
LinearDensity
object by supplying a selection, then use therun()
method. Finally access the results stored in results, i.e. the mass density in the x direction.ldens = LinearDensity(selection) ldens.run() print(ldens.results.x.mass_density)
Alternatively, other types of grouping can be selected using the
grouping
keyword. For example to calculate the density based on a grouping of theResidueGroup
of the inputAtomGroup
.ldens = LinearDensity(selection, grouping='residues', binsize=1.0) ldens.run()
New in version 0.14.0.
Changed in version 1.0.0: Support for the
start
,stop
, andstep
keywords has been removed. These should instead be passed toLinearDensity.run()
. Thesave()
method was also removed, you can usenp.savetxt()
ornp.save()
on theLinearDensity.results
dictionary contents instead.Changed in version 1.0.0: Changed selection keyword to select
Changed in version 2.0.0: Results are now instances of
Results
allowing access via key and attribute.Changed in version 2.2.0:
Fixed a bug that caused LinearDensity to fail if grouping=”residues” or grouping=”segments” were set.
Residues, segments, and fragments will be analysed based on their centre of mass, not centre of geometry as previously stated.
LinearDensity now works with updating atom groups.
Added new result container
results.x.hist_bin_edges
. It contains the bin edges of the histrogram bins for calculated densities and can be used for easier plotting of histogram data.
Deprecated since version 2.2.0: The results dictionary has been changed and the attributes
results.x.pos
,results.x.pos_std
,results.x.char
andresults.x.char_std
are now deprecated. They will be removed in 3.0.0. Please useresults.x.mass_density
,results.x.mass_density_stddev
,results.x.charge_density
, andresults.x.charge_density_stddev
instead.