pymatgen.io.lobster.future package

Modules for input and output to and from LOBSTER.

This package provides classes and utilities for reading and writing LOBSTER input and output files.

class BWDF(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for BWDF.lobster/BWDFCOHP.lobster files.

centers[source]

Bond length centers for the distribution.

Type:

NDArray

bwdf[source]

Bond weighted distribution function.

Type:

dict[Literal[1, -1], NDArray]

bin_width[source]

Bin width used for computing the distribution by LOBSTER.

Type:

float

Parameters:

filename (PathLike) – The BWDF file from LOBSTER, typically “BWDF.lobster” or “BWDFCOHP.lobster”.

classmethod from_dict(d: dict[str, Any]) Self[source]

Deserialize object from dictionary produced by as_dict.

Parameters:

d (dict[str, Any]) – Dictionary representation of the object.

Returns:

Deserialized BWDF object.

Return type:

Self

classmethod get_default_filename() str[source]

Get the default filename for the BWDF class.

Returns:

Default filename.

Return type:

str

is_cohp: ClassVar[bool] = False[source]
parse_file() None[source]

Parse BWDF.lobster/BWDFCOHP.lobster file.

Returns:

None

process_data_into_bwdf_centers() None[source]

Process data into bwdf and centers.

Returns:

None

version_processors = {('0.0', None): <function BWDF.parse_file>}[source]
class BandOverlaps(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for bandOverlaps.lobster files.

Parses band overlap information produced by LOBSTER and stores it in a structured dictionary keyed by spin. See the LobsterBandOverlaps type for details.

band_overlaps[source]

“k_points”, “max_deviations”, and “matrices” holding the corresponding data. - “k_points” (list[list[float]]): List of k-point coordinates. - “max_deviations” (list[float]): List of maximal deviations for each k-point. - “matrices” (list[np.ndarray]): List of overlap matrices for each k-point.

each holding data for each spin channel.

Type:

dict[Spin, dict]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod from_dict(d: dict[str, Any]) Self[source]

Reconstruct a BandOverlaps instance from a dictionary.

Parameters:

d (dict[str, Any]) – Dictionary representation of a BandOverlaps instance.

Returns:

Reconstructed instance.

Return type:

BandOverlaps

classmethod get_default_filename() str[source]

Get the default filename for the BandOverlaps class.

Returns:

Default filename.

Return type:

str

has_good_quality_check_occupied_bands(number_occ_bands_spin_up: int, number_occ_bands_spin_down: int | None = None, spin_polarized: bool = False, limit_deviation: float = 0.1) bool[source]

Check if deviation from the ideal overlap for occupied bands is acceptable.

Parameters:
  • number_occ_bands_spin_up (int) – Number of occupied bands for spin up.

  • number_occ_bands_spin_down (int | None) – Number of occupied bands for spin down. Required if spin_polarized is True.

  • spin_polarized (bool) – Whether the calculation is spin-polarized.

  • limit_deviation (float) – Acceptable absolute tolerance for deviations.

Raises:

ValueError – If number_occ_bands_spin_down is not specified for spin-polarized calculations.

Returns:

True if all occupied-band submatrices are close to identity within the tolerance.

Return type:

bool

has_good_quality_max_deviation(limit_max_deviation: float = 0.1) bool[source]

Check if the maxDeviation values are within a given limit.

Parameters:

limit_max_deviation (float) – Upper limit for acceptable max_deviation.

Returns:

True if all recorded max_deviation values are <= limit_max_deviation.

Return type:

bool

parse_file(spin_numbers: list[int]) None[source]

Read all lines of the file and populate self.band_overlaps.

Parameters:

spin_numbers (list[int]) – Two integers indicating the spin numbering used in the file (e.g., [0, 1] for legacy or [1, 2] for newer versions).

Raises:

ValueError – If no data is found for a key in the bandOverlaps file.

parse_file_v3_2_legacy() None[source]

Parse bandOverlaps.lobster file for LOBSTER versions ≤3.2.

Uses legacy spin numbering [0, 1] for parsing.

parse_file_v4_0() None[source]

Parse bandOverlaps.lobster file for LOBSTER versions ≥4.0.

Uses updated spin numbering [1, 2] for parsing.

version_processors = {('0.0', '3.2'): <function BandOverlaps.parse_file_v3_2_legacy>, ('4.0', None): <function BandOverlaps.parse_file_v4_0>}[source]
class CHARGE(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for CHARGE.lobster and CHARGE.LCFO.lobster files.

is_lcfo[source]

Whether the CHARGE file is from LCFO analysis.

Type:

bool

centers[source]

Atom labels with indices.

Type:

list[str]

mulliken[source]

Mulliken charges for each atom.

Type:

list[float]

loewdin[source]

Loewdin charges for each atom.

Type:

list[float]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

charge_regex: ClassVar[str] = '(\\d+)\\s+([a-zA-Z]+)\\s+(\\S+)\\s+(\\S+)'[source]
classmethod get_default_filename() str[source]

Get the default filename for CHARGE files.

Returns:

Default filename for the CHARGE file, depending on LCFO mode.

Return type:

str

is_lcfo: ClassVar[bool] = False[source]
parse_file() None[source]

Parse the CHARGE file and extract Mulliken and Loewdin charges.

Populates the centers, mulliken, and loewdin attributes with data extracted from the file.

Returns:

None

version_processors = {('0.0', None): <function CHARGE.parse_file>}[source]
class CHARGE_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: CHARGE

Parser for CHARGE.LCFO.lobster files.

is_lcfo[source]

Whether the CHARGE file is from LCFO analysis.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

charge_regex: ClassVar[str] = '(\\d+)\\s+([a-zA-Z]+)\\s+(\\S+)'[source]
is_lcfo: ClassVar[bool] = True[source]
version_processors = {('0.0', None): <function CHARGE.parse_file>}[source]
class COBICAR(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: COXXCAR

Reader for COBICAR.lobster files.

coxxcar_type[source]

Type of COXXCAR file (“COBICAR”).

Type:

str

is_lcfo[source]

Whether the file is in LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

coxxcar_type: ClassVar[str] = 'COBICAR'[source]
classmethod get_default_filename() str[source]

Return the default filename for COBICAR.

is_lcfo: ClassVar[bool] = False[source]
version_processors = {('5.1', None): <function COXXCAR.parse_file>}[source]
class COBICAR_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: COBICAR

Reader for COBICAR.LCFO.lobster files.

is_lcfo[source]

Always True for LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('5.1', None): <function COXXCAR.parse_file>}[source]
class COHPCAR(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: COXXCAR

Reader for COHPCAR.lobster files.

coxxcar_type[source]

Type of COXXCAR file (“COHPCAR”).

Type:

str

is_lcfo[source]

Whether the file is in LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

coxxcar_type: ClassVar[str] = 'COHPCAR'[source]
classmethod get_default_filename() str[source]

Return the default filename for COOPCAR.

is_lcfo: ClassVar[bool] = False[source]
version_processors = {('5.1', None): <function COXXCAR.parse_file>}[source]
class COHPCAR_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: COHPCAR

Reader for COHPCAR.LCFO.lobster files.

is_lcfo[source]

Always True for LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('5.1', None): <function COXXCAR.parse_file>}[source]
class COOPCAR(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: COXXCAR

Reader for COOPCAR.lobster files.

coxxcar_type[source]

Type of COXXCAR file (“COOPCAR”).

Type:

str

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

coxxcar_type: ClassVar[str] = 'COOPCAR'[source]
classmethod get_default_filename() str[source]

Return the default filename for COOPCAR.

version_processors = {('5.1', None): <function COXXCAR.parse_file>}[source]
class DOSCAR(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Represents LOBSTER’s projected DOS and local projected DOS.

This class parses and stores data from the DOSCAR file generated by LOBSTER, which contains information about the total and projected density of states (DOS) for a quantum-chemical calculation performed with VASP.

completedos[source]

Complete DOS data.

Type:

LobsterCompleteDos

pdos[source]

Projected DOS data. Access as pdos[atomindex][‘orbitalstring’][Spin.up/Spin.down].

Type:

list[dict[str, dict[Spin, np.ndarray]]]

tdos[source]

Total density of states.

Type:

Dos

energies[source]

Energies at which the DOS was calculated (in eV, relative to Efermi).

Type:

np.ndarray

tdensities[source]

Total density arrays for each spin channel.

Type:

dict[Spin, np.ndarray]

itdensities[source]

Integrated total density arrays for each spin channel.

Type:

dict[Spin, np.ndarray]

is_spin_polarized[source]

Whether the system is spin polarized.

Type:

bool

Initialize a DOSCAR object.

Parameters:
  • filename (PathLike | None) – Path to the DOSCAR file, typically “DOSCAR.lobster”.

  • process_immediately (bool) – Whether to process the file immediately upon initialization.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

Raises:

ValueError – If neither structure_file nor structure is provided.

property efermi: float[source]

Fermi energy in eV.

property energies: NDArray[floating][source]

Energies at which the DOS was calculated (in eV, relative to efermi).

classmethod get_default_filename() str[source]

Get the default filename for the DOSCAR.

Returns:

Default filename string. “DOSCAR.lobster” for regular DOSCAR, “DOSCAR.LCFO.lobster” for LCFO analysis.

Return type:

str

is_lcfo: ClassVar[bool] = False[source]
property is_spin_polarized: bool[source]

Whether the system is spin polarized.

Returns:

True if the system is spin polarized, False otherwise.

Return type:

bool

process() None[source]

Process the DOSCAR file and extract DOS data.

Parses the DOSCAR file to extract total DOS, projected DOS, energies, and integrated densities. Sets the appropriate attributes based on whether the calculation is spin-polarized.

Raises:

ValueError – If the DOSCAR file format is invalid or spin polarization cannot be determined.

version_processors = {('0.0', None): <function DOSCAR.process>}[source]
class DOSCAR_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: DOSCAR

Represents LOBSTER’s projected DOS and local projected DOS for LCFO analysis.

This class handles DOSCAR files generated from LCFO analysis, which have a different format than regular DOSCAR files.

is_lcfo[source]

Class variable indicating this is for LCFO analysis. Always True.

Type:

bool

Initialize a DOSCAR object.

Parameters:
  • filename (PathLike | None) – Path to the DOSCAR file, typically “DOSCAR.lobster”.

  • process_immediately (bool) – Whether to process the file immediately upon initialization.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

Raises:

ValueError – If neither structure_file nor structure is provided.

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('0.0', None): <function DOSCAR.process>}[source]
class Fatband(filename: PathLike, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for a single FATBAND_*.lobster file.

Parses a single FATBAND file and stores:

center (str): Central atom/species label parsed from filename. orbital (str): Orbital descriptor parsed from filename. nbands (int): Number of bands in the FATBAND file. fatband (LobsterFatband): Parsed fatband data dictionary. Please see LobsterFatband for details.

The parsed data is available in the fatband attribute after parse_file().

Initialize a Fatband parser.

Parameters:
  • filename (PathLike) – Path to the FATBAND file to parse.

  • process_immediately (bool) – If True, parse the file during initialization.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

Raises:

ValueError – If the orbital name cannot be parsed from the filename.

convert_to_numpy_arrays() None[source]

Convert lists in band_overlaps to numpy arrays.

classmethod from_dict(d: dict[str, Any]) Self[source]

Reconstruct a Fatband instance from a dictionary.

Parameters:

d (dict[str, Any]) – Dictionary representation of a Fatband instance.

Returns:

Reconstructed instance.

Return type:

Fatband

classmethod get_default_filename() str[source]

Get the default filename for the Fatband class.

Returns:

Default filename pattern.

Return type:

str

parse_file() None[source]

Parse the FATBAND file and populate the fatband attribute.

version_processors = {('0.0', None): <function Fatband.parse_file>}[source]
class Fatbands(directory: PathLike = '.', structure: IStructure | None = None, kpoints_file: PathLike = 'KPOINTS', vasprun_file: PathLike = 'vasprun.xml', process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: MSONable

Reader for multiple FATBAND_*.lobster files in a directory.

Collects FATBAND files, reads VASP outputs for the Fermi level and kpoints, and aggregates per-file parsed data.

efermi[source]

Fermi level read from vasprun.xml.

Type:

float

spins[source]

Spins present in the FATBAND files.

Type:

list[Spin]

kpoints[source]

Parsed KPOINTS used for the lobster FatBand calculations.

Type:

Kpoints

filenames[source]

Sorted list of matched filenames.

Type:

list[Path]

structure[source]

Structure object used for projections.

Type:

Structure

reciprocal_lattice[source]

Reciprocal lattice of the structure.

Type:

Lattice

lobster_version[source]

LOBSTER version string used for parsing.

Type:

str

fatbands[source]

Aggregated parsed fatband data after process() is called.

Type:

list[dict]

Initialize the Fatbands reader.

Parameters:
  • directory (PathLike) – Path to directory containing FATBAND files.

  • structure (IStructure | None) – Structure object. If None, POSCAR.lobster is read from directory.

  • kpoints_file (PathLike) – Name of the KPOINTS file to be read in the directory.

  • vasprun_file (PathLike) – Name of the vasprun.xml file to be read in the directory.

  • process_immediately (bool) – If True, process FATBAND files immediately after initialization.

  • lobster_version (str | None) – Optional LOBSTER version string. If None, the default LOBSTER_VERSION is used.

Raises:
  • FileNotFoundError – If required files are missing in the directory.

  • ValueError – If no FATBAND files are found or KPOINTS file lacks weights.

as_dict() dict[str, Any][source]

Serializes the LobsterFile object to a dictionary. Spin keys in dictionaries are converted to strings for JSON compatibility.

Returns:

Dictionary with keys “@module”, “@class”, “@version”, and all attributes of the object.

Return type:

dict[str, Any]

fatbands: list[LobsterFatband][source]
property has_spin: bool[source]

Indicates whether the file could contain spin-polarized data.

Returns:

True if this file type supports spin, False otherwise.

Return type:

bool

property is_spin_polarized: bool[source]

Indicates whether the file contains spin-polarized data.

Returns:

True if multiple spins are present, False otherwise.

Return type:

bool

process() None[source]

Parse all FATBAND files and aggregate fatband data.

Raises:
  • ValueError – If the number of kpoints does not match or if there is a mix of spin-polarized and

  • non-spin-polarized files.

class GROSSPOP(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for GROSSPOP.lobster and GROSSPOP.LCFO.lobster files.

is_lcfo[source]

Whether the GROSSPOP file is from LCFO analysis.

Type:

bool

populations[source]

Population dictionaries for each atom.

Type:

LobsterPopulations

spins[source]

List of spins present in the file.

Type:

list[Spin]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Get the default filename for GROSSPOP files.

Returns:

Default filename for the GROSSPOP file, depending on LCFO mode.

Return type:

str

is_lcfo: ClassVar[bool] = False[source]
parse_file() None[source]

Parse the GROSSPOP file and extract gross population data.

Populates the populations attribute with a nested dictionary structure containing Mulliken and Loewdin populations for each atom and orbital.

version_processors = {('0.0', None): <function GROSSPOP.parse_file>}[source]
class GROSSPOP_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: GROSSPOP

Parser for GROSSPOP.LCFO.lobster files.

is_lcfo[source]

Whether the GROSSPOP file is in LCFO format.

Type:

bool

populations[source]

Population dictionaries for each atom.

Type:

LobsterPopulations

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('0.0', None): <function GROSSPOP.parse_file>}[source]
class ICOBILIST(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: ICOXXLIST

Reader for ICOBILIST.lobster files.

icoxxlist_type[source]

Type of ICOXXLIST file (“COBI”).

Type:

str

is_lcfo[source]

Whether the file is in LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Return the default filename for ICOBILIST.

icoxxlist_type: ClassVar[str] = 'COBI'[source]
is_lcfo: ClassVar[bool] = False[source]
version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class ICOBILIST_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: ICOBILIST

Reader for ICOBILIST.LCFO.lobster files.

is_lcfo[source]

Always True for LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class ICOHPLIST(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: ICOXXLIST

Reader for ICOHPLIST.lobster files.

icoxxlist_type[source]

Type of ICOXXLIST file (“COHP”).

Type:

str

is_lcfo[source]

Whether the file is in LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Return the default filename for ICOHPLIST.

icoxxlist_type: ClassVar[str] = 'COHP'[source]
is_lcfo: ClassVar[bool] = False[source]
version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class ICOHPLIST_LCFO(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: ICOHPLIST

Reader for ICOHPLIST.LCFO.lobster files.

is_lcfo[source]

Always True for LCFO format.

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

is_lcfo: ClassVar[bool] = True[source]
version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class ICOOPLIST(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: ICOXXLIST

Reader for ICOOPLIST.lobster files.

icoxxlist_type[source]

Type of ICOXXLIST file (“COOP”).

Type:

str

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Return the default filename for ICOOPLIST.

icoxxlist_type: ClassVar[str] = 'COOP'[source]
version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class ICOXXLIST(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterInteractionsHolder

Reader for ICOXX data files (ICOHPLIST, ICOOPLIST, ICOBILIST).

Parses interaction data from ICOXXLIST files, including spin-resolved values.

interactions[source]

List of parsed interactions.

Type:

list[LobsterInteractionData]

spins[source]

List of spins present in the file.

Type:

list[Spin]

data[source]

Array of ICOXX values for each interaction and spin.

Type:

NDArray[np.floating]

icoxxlist_type[source]

Type of ICOXXLIST file (“COHP”, “COOP”, “COBI”).

Type:

str

is_lcfo[source]

Whether the file is in LCFO format (if applicable).

Type:

bool

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

get_data_by_properties(indices: list[int] | None = None, centers: list[str] | None = None, cells: list[list[int]] | None = None, orbitals: list[str] | None = None, length: tuple[float, float] | None = None, spins: list[Literal[1, -1]] | None = None) NDArray[np.floating][source]

Get the data for bonds matching specified properties.

Parameters:
  • indices (list[int] | None) – Indices of bonds to retrieve.

  • centers (list[str] | None) – Centers of bonds to retrieve.

  • cells (list[list[int]] | None) – Cells of bonds to retrieve.

  • orbitals (list[str] | None) – Orbitals of bonds to retrieve.

  • length (tuple[float, float] | None) – Length range to filter.

  • spins (list[Spin] | None) – Spins to retrieve.

Returns:

Array of data for specified bonds.

Return type:

NDArray[np.floating]

icoxxlist_type: ClassVar[str][source]
interactions_regex: ClassVar[str] = '(?i)\\s*(\\d+)\\s+(\\S+\\s+\\S+)\\s+(\\d+\\.\\d+)\\s+(\\-?\\d+\\s+\\-?\\d+\\s+\\-?\\d+)?\\s+(\\-?\\d+\\.\\d+)(?:\\s+(\\-?\\d+\\.\\d+))?'[source]
parse_file() None[source]

Parse ICOXXLIST file using modern format (versions ≥5.1).

Extracts interaction data, including spin-resolved values, and populates the interactions, spins, and data attributes.

Raises:

ValueError – If the file contains invalid spin values or cannot parse interaction lines.

parse_file_legacy() None[source]

Parse ICOXXLIST file using legacy format (versions ≤5.1).

Extracts interaction data, including spin-resolved values, and populates the interactions, spins, and data attributes.

Raises:

ValueError – If the file contains invalid spin values or cannot parse interaction lines.

process_data_into_interactions() None[source]

Populate each interaction dict with ‘coxx’ and ‘icoxx’ views.

Assigns numpy views into self.data for each spin channel.

version_processors = {('0.0', '5.1'): <function ICOXXLIST.parse_file_legacy>, ('5.1', None): <function ICOXXLIST.parse_file>}[source]
class LobsterIn(settingsdict: dict)[source]

Bases: UserDict, MSONable

Handles and generates lobsterin files for LOBSTER calculations.

This class provides methods to create, modify, and write lobsterin files, which are input files for the LOBSTER program. It also includes utilities for generating related files such as INCAR, KPOINTS, and POSCAR, and for comparing different lobsterin configurations.

Reminder: LOBSTER input keywords are not case-sensitive.

FLOAT_KEYWORDS[source]

Keywords requiring float values.

Type:

ClassVar[dict[str, str]]

STRING_KEYWORDS[source]

Keywords requiring string values.

Type:

ClassVar[dict[str, str]]

BOOLEAN_KEYWORDS[source]

Keywords that are boolean flags.

Type:

ClassVar[dict[str, str]]

LIST_KEYWORDS[source]

Keywords requiring lists of strings.

Type:

ClassVar[dict[str, str]]

AVAILABLE_KEYWORDS[source]

All known keywords mapped to their canonical forms.

Type:

ClassVar[dict[str, str]]

Initializes a LobsterIn object with the given settings.

Parameters:

settingsdict (dict) – Dictionary of settings to initialize the LobsterIn object.

Raises:

KeyError – If there are duplicate keywords (case-insensitive).

AVAILABLE_KEYWORDS: ClassVar[dict[str, str]] = {'autorotate': 'autoRotate', 'bandwisespilling': 'bandwiseSpilling', 'basisfunctions': 'basisfunctions', 'basisrotation': 'basisRotation', 'basisset': 'basisSet', 'bwdf': 'BWDF', 'bwdfcohp': 'BWDFCOHP', 'cobibetween': 'cobiBetween', 'cohpbetween': 'cohpbetween', 'cohpendenergy': 'COHPendEnergy', 'cohpgenerator': 'cohpGenerator', 'cohpstartenergy': 'COHPstartEnergy', 'cohpsteps': 'COHPSteps', 'createfatband': 'createFatband', 'customstoforatom': 'customSTOforAtom', 'densityofenergy': 'DensityOfEnergy', 'donotignoreexcessivebands': 'doNotIgnoreExcessiveBands', 'donotorthogonalizebasis': 'doNotOrthogonalizeBasis', 'donotuseabsolutespilling': 'doNotUseAbsoluteSpilling', 'ewaldsum': 'EwaldSum', 'forceenergyrange': 'forceEnergyRange', 'forcev1hmatrix': 'forceV1HMatrix', 'gaussiansmearingwidth': 'gaussianSmearingWidth', 'gridbufferforprinting': 'gridBufferForPrinting', 'griddensityforprinting': 'gridDensityForPrinting', 'kpointwisespilling': 'kpointwiseSpilling', 'kspacecohp': 'kSpaceCOHP', 'loadprojectionfromfile': 'loadProjectionFromFile', 'lsodos': 'LSODOS', 'nofftforvisualization': 'noFFTforVisualization', 'nomemorymappedfiles': 'noMemoryMappedFiles', 'onlyreadvasprun.xml': 'onlyReadVasprun.xml', 'printlcaorealspacewavefunction': 'printLCAORealSpaceWavefunction', 'printlmosonatoms': 'printLmosOnAtoms', 'printlmosonatomswriteatomicdensities': 'printLmosOnAtomswriteAtomicDensities', 'printmofeatomwise': 'printMofeAtomWise', 'printmofemoleculewise': 'printMofeMoleculeWise', 'printpawrealspacewavefunction': 'printPAWRealSpaceWavefunction', 'printtotalspilling': 'printTotalSpilling', 'realspacehamiltonian': 'realspaceHamiltonian', 'realspaceoverlap': 'realspaceOverlap', 'rmsp': 'RMSp', 'saveprojectiontofile': 'saveProjectionToFile', 'skipcar': 'skipCar', 'skipcobi': 'skipcobi', 'skipcohp': 'skipcohp', 'skipcoop': 'skipcoop', 'skipdos': 'skipdos', 'skipgrosspopulation': 'skipGrossPopulation', 'skipmadelungenergy': 'skipMadelungEnergy', 'skipmofe': 'skipMOFE', 'skipmolecularorbitals': 'skipMolecularOrbitals', 'skippaworthonormalitytest': 'skipPAWOrthonormalityTest', 'skippopulationanalysis': 'skipPopulationAnalysis', 'skipprojection': 'skipProjection', 'skipreorthonormalization': 'skipReOrthonormalization', 'usedecimalplaces': 'useDecimalPlaces', 'useoriginaltetrahedronmethod': 'useOriginalTetrahedronMethod', 'userecommendedbasisfunctions': 'userecommendedbasisfunctions', 'writeatomicorbitals': 'writeAtomicOrbitals', 'writebasisfunctions': 'writeBasisFunctions', 'writematricestofile': 'writeMatricesToFile'}[source]
BOOLEAN_KEYWORDS: ClassVar[dict[str, str]] = {'autorotate': 'autoRotate', 'bandwisespilling': 'bandwiseSpilling', 'bwdf': 'BWDF', 'bwdfcohp': 'BWDFCOHP', 'densityofenergy': 'DensityOfEnergy', 'donotignoreexcessivebands': 'doNotIgnoreExcessiveBands', 'donotorthogonalizebasis': 'doNotOrthogonalizeBasis', 'donotuseabsolutespilling': 'doNotUseAbsoluteSpilling', 'forceenergyrange': 'forceEnergyRange', 'forcev1hmatrix': 'forceV1HMatrix', 'kpointwisespilling': 'kpointwiseSpilling', 'loadprojectionfromfile': 'loadProjectionFromFile', 'lsodos': 'LSODOS', 'nofftforvisualization': 'noFFTforVisualization', 'nomemorymappedfiles': 'noMemoryMappedFiles', 'onlyreadvasprun.xml': 'onlyReadVasprun.xml', 'printlmosonatoms': 'printLmosOnAtoms', 'printmofeatomwise': 'printMofeAtomWise', 'printmofemoleculewise': 'printMofeMoleculeWise', 'printtotalspilling': 'printTotalSpilling', 'rmsp': 'RMSp', 'saveprojectiontofile': 'saveProjectionToFile', 'skipcar': 'skipCar', 'skipcobi': 'skipcobi', 'skipcohp': 'skipcohp', 'skipcoop': 'skipcoop', 'skipdos': 'skipdos', 'skipgrosspopulation': 'skipGrossPopulation', 'skipmadelungenergy': 'skipMadelungEnergy', 'skipmofe': 'skipMOFE', 'skipmolecularorbitals': 'skipMolecularOrbitals', 'skippaworthonormalitytest': 'skipPAWOrthonormalityTest', 'skippopulationanalysis': 'skipPopulationAnalysis', 'skipprojection': 'skipProjection', 'skipreorthonormalization': 'skipReOrthonormalization', 'useoriginaltetrahedronmethod': 'useOriginalTetrahedronMethod', 'userecommendedbasisfunctions': 'userecommendedbasisfunctions', 'writeatomicorbitals': 'writeAtomicOrbitals', 'writebasisfunctions': 'writeBasisFunctions', 'writematricestofile': 'writeMatricesToFile'}[source]
FLOAT_KEYWORDS: ClassVar[dict[str, str]] = {'basisrotation': 'basisRotation', 'cohpendenergy': 'COHPendEnergy', 'cohpstartenergy': 'COHPstartEnergy', 'cohpsteps': 'COHPSteps', 'gaussiansmearingwidth': 'gaussianSmearingWidth', 'gridbufferforprinting': 'gridBufferForPrinting', 'griddensityforprinting': 'gridDensityForPrinting', 'usedecimalplaces': 'useDecimalPlaces'}[source]
LIST_KEYWORDS: ClassVar[dict[str, str]] = {'basisfunctions': 'basisfunctions', 'cobibetween': 'cobiBetween', 'cohpbetween': 'cohpbetween', 'createfatband': 'createFatband', 'customstoforatom': 'customSTOforAtom', 'printlmosonatomswriteatomicdensities': 'printLmosOnAtomswriteAtomicDensities'}[source]
STRING_KEYWORDS: ClassVar[dict[str, str]] = {'basisset': 'basisSet', 'cohpgenerator': 'cohpGenerator', 'ewaldsum': 'EwaldSum', 'kspacecohp': 'kSpaceCOHP', 'printlcaorealspacewavefunction': 'printLCAORealSpaceWavefunction', 'printpawrealspacewavefunction': 'printPAWRealSpaceWavefunction', 'realspacehamiltonian': 'realspaceHamiltonian', 'realspaceoverlap': 'realspaceOverlap'}[source]
as_dict() dict[source]

Converts the LobsterIn object to a dictionary.

Returns:

A dictionary representation of the LobsterIn object.

Return type:

dict

diff(other: Self) dict[str, dict[str, Any]][source]

Compares two LobsterIn objects and identifies differences.

Parameters:

other (LobsterIn) – The other LobsterIn object to compare.

Returns:

A dictionary with keys “Same” and “Different”,

containing the same and differing parameters, respectively.

Return type:

dict[str, dict[str, Any]]

classmethod from_dict(dct: dict) Self[source]

Creates a LobsterIn object from a dictionary.

Parameters:

dct (dict) – A dictionary representation of a LobsterIn object.

Returns:

The created LobsterIn object.

Return type:

LobsterIn

classmethod from_file(lobsterin: PathLike) Self[source]

Creates a LobsterIn object from a lobsterin file.

Parameters:

lobsterin (PathLike) – Path to the lobsterin file.

Returns:

The created LobsterIn object.

Return type:

LobsterIn

Raises:
  • RuntimeError – If the lobsterin file contains no data.

  • ValueError – If invalid keywords are found or if there are duplicate keywords.

static get_all_possible_basis_functions(structure: Structure | IStructure, potcar_symbols: list[str], address_basis_file_min: PathLike | None = None, address_basis_file_max: PathLike | None = None) list[dict][source]
Parameters:
  • structure – Structure object

  • potcar_symbols – list of the potcar symbols

  • address_basis_file_min – path to file with the minimum required basis by the POTCAR

  • address_basis_file_max – path to file with the largest possible basis of the POTCAR.

Returns:

Can be used to create new Lobsterin objects in

standard_calculations_from_vasp_files as dict_for_basis

Return type:

list[dict]

static get_basis(structure: Structure | IStructure, potcar_symbols: list[str], address_basis_file: PathLike | None = None) list[str][source]

Retrieves basis functions for the given structure and POTCAR symbols.

Parameters:
  • structure (Structure | IStructure) – The structure object.

  • potcar_symbols (list[str]) – List of POTCAR symbols.

  • address_basis_file (PathLike | None) – Path to the basis file. Defaults to None.

Returns:

List of basis functions.

Return type:

list[str]

Raises:

ValueError – If the POSCAR does not match the POTCAR or if basis information is missing.

classmethod standard_calculations_from_vasp_files(POSCAR_input: PathLike = 'POSCAR', INCAR_input: PathLike = 'INCAR', POTCAR_input: PathLike | None = None, Vasprun_output: PathLike = 'vasprun.xml', dict_for_basis: dict | None = None, option: str = 'standard') Self[source]

Generate lobsterin with standard settings.

Parameters:
  • POSCAR_input (PathLike) – path to POSCAR

  • INCAR_input (PathLike) – path to INCAR

  • POTCAR_input (PathLike) – path to POTCAR

  • Vasprun_output (PathLike) – path to vasprun.xml

  • dict_for_basis (dict) – can be provided: it should look the following: dict_for_basis={“Fe”:’3p 3d 4s 4f’, “C”: ‘2s 2p’} and will overwrite all settings from POTCAR_input

  • option (str) – ‘standard’ will start a normal LOBSTER run where COHPs, COOPs, DOS, CHARGE etc. will be calculated ‘standard_with_energy_range_from_vasprun’ will start a normal LOBSTER run for entire energy range of VASP static run. vasprun.xml file needs to be in current directory. ‘standard_from_projection’ will start a normal LOBSTER run from a projection ‘standard_with_fatband’ will do a fatband calculation, run over all orbitals ‘onlyprojection’ will only do a projection ‘onlydos’ will only calculate a projected dos ‘onlycohp’ will only calculate cohp ‘onlycoop’ will only calculate coop ‘onlycohpcoop’ will only calculate cohp and coop

Returns:

Lobsterin with standard settings

write_INCAR(incar_input: PathLike = 'INCAR', incar_output: PathLike = 'INCAR.lobster', poscar_input: PathLike = 'POSCAR', isym: Literal[-1, 0] = 0, further_settings: dict | None = None) None[source]

Writes a modified INCAR file for LOBSTER calculations.

Parameters:
  • incar_input (PathLike) – Path to the input INCAR file.

  • incar_output (PathLike) – Path to the output INCAR file.

  • poscar_input (PathLike) – Path to the input POSCAR file.

  • isym (Literal[-1, 0]) – ISYM value to set. Defaults to 0.

  • further_settings (dict | None) – Additional settings to include in the INCAR file.

Raises:

ValueError – If isym is not -1 or 0.

static write_KPOINTS(POSCAR_input: PathLike = 'POSCAR', KPOINTS_output: PathLike = 'KPOINTS.lobster', reciprocal_density: int = 100, isym: Literal[-1, 0] = 0, from_grid: bool = False, input_grid: tuple[int, int, int] = (5, 5, 5), line_mode: bool = True, kpoints_line_density: int = 20, symprec: float = 0.01) None[source]

Write a gamma-centered KPOINTS file for LOBSTER.

Parameters:
  • POSCAR_input (PathLike) – path to POSCAR

  • KPOINTS_output (PathLike) – path to output KPOINTS

  • reciprocal_density (int) – Grid density

  • isym (-1 | 0) – ISYM value.

  • from_grid (bool) – If True KPOINTS will be generated with the help of a grid given in input_grid. Otherwise, they will be generated from the reciprocal_density

  • input_grid (tuple) – grid to generate the KPOINTS file

  • line_mode (bool) – If True, band structure will be generated

  • kpoints_line_density (int) – density of the lines in the band structure

  • symprec (float) – precision to determine symmetry

static write_POSCAR_with_standard_primitive(POSCAR_input: PathLike = 'POSCAR', POSCAR_output: PathLike = 'POSCAR.lobster', symprec: float = 0.01) None[source]

Writes a POSCAR file with the standard primitive cell.

Parameters:
  • POSCAR_input (PathLike) – Path to the input POSCAR file.

  • POSCAR_output (PathLike) – Path to the output POSCAR file.

  • symprec (float) – Precision for symmetry determination. Defaults to 0.01.

write_lobsterin(path: PathLike = 'lobsterin', overwritedict: dict | None = None) None[source]

Writes the LobsterIn object to a lobsterin file.

Parameters:
  • path (PathLike) – The output file path. Defaults to “lobsterin”.

  • overwritedict (dict | None) – A dictionary of settings to overwrite before writing.

class LobsterMatrices(filename: PathLike | None = None, matrix_type: str | None = None, efermi: float | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for LOBSTER matrix files.

matrix_type[source]

Type of matrix (hamilton, coefficient, transfer, overlap).

Type:

str

centers[source]

Atom centers.

Type:

list[str]

orbitals[source]

Orbitals.

Type:

list[str]

matrices[source]

Matrix data for each k-point and spin.

Type:

LobsterMatrixData

efermi[source]

Fermi energy (for Hamilton matrices).

Type:

float

Initialize LOBSTER matrices parser.

Parameters:
  • filename – Path to the matrix file

  • matrix_type – Type of matrix. If None, inferred from filename

  • efermi – Fermi level in eV (required for Hamilton matrices)

  • process_immediately – Whether to parse the file immediately

as_dict() dict[str, Any][source]

Serialize object to a dictionary.

Returns:

Dictionary representation of the object.

Return type:

dict[str, Any]

centers: list[str][source]
classmethod from_dict(d: dict[str, Any]) Self[source]

Deserialize from dictionary.

classmethod get_default_filename() str[source]

Get the default filename for the LobsterMatrices class.

Returns:

Default filename.

Return type:

str

get_matrix_type() str[source]

Infer matrix type from filename.

Returns:

Matrix type.

Return type:

str

get_onsite_values(center: str | None = None, orbital: str | None = None) dict | float | floating[source]

Get onsite values for specific centers/orbitals.

Parameters:
  • center (str | None) – Specific center or None for all.

  • orbital (str | None) – Specific orbital or None for all.

Returns:

Dict of values or single value if both specified.

Return type:

dict | float | floating

matrices: LobsterMatrixData[source]
matrix_types: ClassVar[set[str]] = {'coefficient', 'hamilton', 'overlap', 'transfer'}[source]
orbitals: list[str][source]
parse_file() None[source]

Parse matrix data and set instance attributes.

Returns:

None

version_processors = {('0.0', None): <function LobsterMatrices.parse_file>}[source]
class LobsterOut(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for lobsterout file from LOBSTER.

This class reads the lobsterout file and extracts information about basis functions, spillings, warnings, timing, and file presence. It supports parsing for different LOBSTER versions and provides attributes to access the parsed data.

basis_functions[source]

Basis functions used in the LOBSTER run.

Type:

list[str]

basis_type[source]

Basis types used in the LOBSTER run.

Type:

list[str]

charge_spilling[source]

Charge spilling for each spin channel.

Type:

list[float]

dft_program[source]

DFT program used for the calculation.

Type:

str

elements[source]

Elements present in the calculation.

Type:

list[str]

has_charge[source]

Whether CHARGE.lobster is present.

Type:

bool

has_cohpcar[source]

Whether COHPCAR.lobster and ICOHPLIST.lobster are present.

Type:

bool

has_madelung[source]

Whether SitePotentials.lobster and MadelungEnergies.lobster are present.

Type:

bool

has_coopcar[source]

Whether COOPCAR.lobster and ICOOPLIST.lobster are present.

Type:

bool

has_cobicar[source]

Whether COBICAR.lobster and ICOBILIST.lobster are present.

Type:

bool

has_doscar[source]

Whether DOSCAR.lobster is present.

Type:

bool

has_doscar_lso[source]

Whether DOSCAR.LSO.lobster is present.

Type:

bool

has_projection[source]

Whether projectionData.lobster is present.

Type:

bool

has_bandoverlaps[source]

Whether bandOverlaps.lobster is present.

Type:

bool

has_density_of_energies[source]

Whether DensityOfEnergy.lobster is present.

Type:

bool

has_fatbands[source]

Whether fatband calculation was performed.

Type:

bool

has_grosspopulation[source]

Whether GROSSPOP.lobster is present.

Type:

bool

has_polarization[source]

Whether POLARIZATION.lobster is present.

Type:

bool

info_lines[source]

Additional information on the run.

Type:

list[str]

info_orthonormalization[source]

Information on orthonormalization.

Type:

list[str]

is_restart_from_projection[source]

Whether calculation was restarted from a projection file.

Type:

bool

lobster_version[source]

The LOBSTER version.

Type:

str

number_of_spins[source]

Number of spins.

Type:

int

number_of_threads[source]

Number of threads used.

Type:

int

timing[source]

Timing information.

Type:

dict[str, float]

total_spilling[source]

Total spilling for each spin channel.

Type:

list[float]

warning_lines[source]

All warning messages.

Type:

list[str]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Get the default filename for LobsterOut.

Returns:

The default filename.

Return type:

str

static get_lobster_version(lines: list[str]) str[source]

Get the LOBSTER version from the lobsterout lines.

Parameters:

lines (list[str]) – Lines of the lobsterout file.

Returns:

The LOBSTER version.

Return type:

str

Raises:

RuntimeError – If the version line is not found.

process() None[source]

Parse the lobsterout file and populate attributes.

This method determines the LOBSTER version and invokes the appropriate version-specific processing method.

Raises:

RuntimeError – If the LOBSTER version cannot be determined.

version_processors = {('0.0', '5.0'): <function LobsterOut._process_legacy>, ('5.1', None): <function LobsterOut._process_v5_1>}[source]
class MadelungEnergies(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for MadelungEnergies.lobster files.

madelung_energies_mulliken[source]

Madelung energy (Mulliken).

Type:

float

madelung_energies_loewdin[source]

Madelung energy (Loewdin).

Type:

float

ewald_splitting[source]

Ewald splitting parameter.

Type:

float

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Get the default filename for MadelungEnergies.

Returns:

Default filename.

Return type:

str

parse_file() None[source]

Parse MadelungEnergies.lobster file.

Extracts the Ewald splitting parameter and Madelung energies.

Returns:

None

version_processors = {('0.0', None): <function MadelungEnergies.parse_file>}[source]
class NcICOBILIST(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterInteractionsHolder

Reader for NcICOBILIST.lobster files.

Parses non-conventional ICOBI interaction data.

interactions[source]

List of parsed interactions.

Type:

list

spins[source]

List of spins present in the file.

Type:

list[Spin]

data[source]

Array of ICOXX values for each interaction and spin.

Type:

NDArray[np.floating]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

get_data_by_properties(indices: list[int] | None = None, centers: list[str] | None = None, cells: list[list[int]] | None = None, orbitals: list[str] | None = None, length: tuple[float, float] | None = None, spins: list[Literal[1, -1]] | None = None) NDArray[np.floating][source]

Get the data for bonds matching specified properties.

Parameters:
  • indices (list[int] | None) – Indices of bonds to retrieve.

  • centers (list[str] | None) – Centers of bonds to retrieve.

  • cells (list[list[int]] | None) – Cells of bonds to retrieve.

  • orbitals (list[str] | None) – Orbitals of bonds to retrieve.

  • length (tuple[float, float] | None) – Length range to filter.

  • spins (list[Spin] | None) – Spins to retrieve.

Returns:

Array of data for specified bonds.

Return type:

NDArray[np.floating]

classmethod get_default_filename() str[source]

Return the default filename for NcICOBILIST.

interactions_regex: ClassVar[str] = '(?i)([a-z]+\\d*(?:\\_\\d+)?)(?:\\[(\\-?\\d+\\s+\\-?\\d+\\s+\\-?\\d+)\\])?(?:\\[([^]\\s]*)\\])?(?:\\(([^)]*)\\))?'[source]
parse_file() None[source]

Parse the NcICOBILIST file.

Extracts interaction data, including spin-resolved values, and populates the interactions, spins, and data attributes.

Raises:

ValueError – If the file contains invalid spin values or cannot parse interaction lines.

process_data_into_interactions() None[source]

Populate each interaction dict with ‘coxx’ and ‘icoxx’ views.

Assigns numpy views into self.data for each spin channel.

version_processors = {('5.1', None): <function NcICOBILIST.parse_file>}[source]
class POLARIZATION(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for POLARIZATION.lobster file.

rel_mulliken_pol_vector[source]

Relative Mulliken polarization vector.

Type:

dict[str, float]

rel_loewdin_pol_vector[source]

Relative Loewdin polarization vector.

Type:

dict[str, float]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Get the default filename for the Polarization class.

Returns:

Default filename.

Return type:

str

parse_file() None[source]

Parse POLARIZATION.lobster file.

Returns:

None

version_processors = {('0.0', None): <function POLARIZATION.parse_file>}[source]
class SitePotentials(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for SitePotentials.lobster files.

centers[source]

Atom centers.

Type:

list[str]

site_potentials_mulliken[source]

Mulliken site potentials.

Type:

list[float]

site_potentials_loewdin[source]

Loewdin site potentials.

Type:

list[float]

madelung_energies_mulliken[source]

Madelung energy (Mulliken).

Type:

float

madelung_energies_loewdin[source]

Madelung energy (Loewdin).

Type:

float

ewald_splitting[source]

Ewald splitting parameter.

Type:

float

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

classmethod get_default_filename() str[source]

Get the default filename for SitePotentials.

Returns:

Default filename.

Return type:

str

parse_file() None[source]

Parse SitePotentials.lobster file.

Extracts site potentials, Madelung energies, and Ewald splitting parameter.

Returns:

None

version_processors = {('0.0', None): <function SitePotentials.parse_file>}[source]
class Wavefunction(filename: PathLike, structure: Structure, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Parser for wave function files from LOBSTER.

Reads wave function files and creates VolumetricData objects.

grid[source]

Grid for the wave function [Nx+1, Ny+1, Nz+1].

Type:

tuple[int, int, int]

points[source]

Points in real space.

Type:

list[tuple[float, float, float]]

reals[source]

Real parts of the wave function.

Type:

list[float]

imaginaries[source]

Imaginary parts of the wave function.

Type:

list[float]

distances[source]

Distances to the first point in the wave function file.

Type:

list[float]

structure[source]

Structure object associated with the calculation.

Type:

Structure

Initialize the Wavefunction parser.

Parameters:
  • filename (PathLike) – The wavecar file from LOBSTER.

  • structure (Structure) – The Structure object.

  • process_immediately (bool) – Whether to parse the file immediately. Defaults to True.

classmethod from_dict(d: dict[str, Any]) Self[source]
get_volumetricdata_density() VolumetricData[source]

Get VolumetricData object for the density part of the wave function.

Returns:

Density volumetric data.

Return type:

VolumetricData

get_volumetricdata_imaginary() VolumetricData[source]

Get VolumetricData object for the imaginary part of the wave function.

Returns:

Imaginary part volumetric data.

Return type:

VolumetricData

get_volumetricdata_real() VolumetricData[source]

Get VolumetricData object for the real part of the wave function.

Returns:

Real part volumetric data.

Return type:

VolumetricData

parse_file() None[source]

Parse wave function file.

Reads the wave function file and extracts grid, points, real and imaginary parts, and distances.

Raises:

ValueError – If the number of real or imaginary parts does not match the expected grid size.

set_volumetric_data(grid: tuple[int, int, int], structure: Structure) None[source]

Create VolumetricData instances for real, imaginary, and density parts.

Parameters:
  • grid (tuple[int, int, int]) – Grid on which wavefunction was calculated.

  • structure (Structure) – Structure object.

Raises:

ValueError – If the wavefunction file does not contain all relevant points.

version_processors = {('0.0', None): <function Wavefunction.parse_file>}[source]
write_file(filename: PathLike = 'WAVECAR.vasp', part: Literal['real', 'imaginary', 'density'] = 'real') None[source]

Save the wave function in a file readable by VESTA.

Parameters:
  • filename (PathLike) – Output file name. Defaults to “WAVECAR.vasp”.

  • part (Literal["real", "imaginary", "density"]) – Which part to save. Defaults to “real”.

Raises:

ValueError – If the specified part is not “real”, “imaginary”, or “density”.

Subpackages

Submodules

pymatgen.io.lobster.future.constants module

Constants for LOBSTER input and output parsing.

LOBSTER_VERSION: str = '5.1.1'[source]

A tuple of possible orbitals that LOBSTER can handle and their string representations in LOBSTER output files.

pymatgen.io.lobster.future.core module

class LobsterFile(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: MSONable

Representation of a LOBSTER file.

This class provides a framework for parsing and processing LOBSTER output files. It supports version-specific processing through a registry of version processors.

filename[source]

Name or path of the file. Defaults to the class default.

Type:

PathLike

lobster_version[source]

Version string parsed from the file or the default LOBSTER_VERSION.

Type:

str

version_processors[source]

Registry of version processors.

Type:

ClassVar[dict[tuple[str, str | None], Callable]]

spins[source]

List of Spin objects if the file contains spin-polarized data, else None.

Type:

list[Spin] | None

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

as_dict() dict[str, Any][source]

Serializes the LobsterFile object to a dictionary. Spin keys in dictionaries are converted to strings for JSON compatibility.

Returns:

Dictionary with keys “@module”, “@class”, “@version”, and all attributes of the object.

Return type:

dict[str, Any]

static check_version(actual: str, minimum: str, maximum: str | None) bool[source]

Checks whether a version string falls within a min/max inclusive range.

Parameters:
  • actual (str) – Version string to check (e.g., “1.2.3”).

  • minimum (str) – Minimum acceptable version string (exclusive).

  • maximum (str | None) – Maximum acceptable version string (exclusive) or None for no upper bound.

Returns:

True if actual is > minimum and < maximum (if provided), otherwise False.

Return type:

bool

classmethod from_dict(d: dict[str, Any]) Self[source]

Deserializes a LobsterFile object from a dictionary. Spin keys in dictionaries are restored from strings.

Parameters:

d (dict[str, Any]) – Dictionary produced by as_dict or similar serialization.

Returns:

Instance of LobsterFile with attributes populated from the dictionary.

Return type:

LobsterFile

abstractmethod classmethod get_default_filename() str[source]

Returns the default filename for this LobsterFile subclass.

Returns:

The default filename.

Return type:

str

get_file_version() str | None[source]

Retrieves the file version. Override in subclasses to extract version from file content if possible.

Returns:

Version string (e.g., “1.2.3”) if found, else None.

Return type:

str | None

property has_spin: bool[source]

Indicates whether the file could contain spin-polarized data.

Returns:

True if this file type supports spin, False otherwise.

Return type:

bool

property is_spin_polarized: bool[source]

Indicates whether the file contains spin-polarized data.

Returns:

True if multiple spins are present, False otherwise.

Return type:

bool

iterate_lines() Generator[str][source]

Iterates over lines in the file, yielding each line as a string.

Yields:

str – Each line in the file, stripped of whitespace.

property lines: list[str][source]

Returns all lines from the file as a list of strings.

Returns:

Lines from the file.

Return type:

list[str]

Raises:

ValueError – If the file is empty.

process() None[source]

Processes the file using the appropriate version processor.

Selects the best matching version processor from the version_processors registry and invokes it.

Raises:
  • ValueError – If no processor matches the file version.

  • RuntimeError – If the selected processor raises an exception.

spins: list[Spin] | None = None[source]
version_processors: ClassVar[dict[tuple[str, str | None], Callable]][source]
class LobsterInteractionsHolder(filename: PathLike | None = None, process_immediately: bool = True, lobster_version: str | None = None)[source]

Bases: LobsterFile

Container for LOBSTER interaction data. This class holds interaction metadata. It provides methods for filtering and retrieving interaction data based on various criteria.

interactions[source]

List of interaction metadata dicts.

Type:

list[LobsterInteractionData]

Initialize a LobsterFile instance.

Parameters:
  • filename (PathLike | None) – Path to the file. If None, uses the default filename.

  • process_immediately (bool) – Whether to process the file immediately upon initialization. Defaults to True.

  • lobster_version (str | None) – LOBSTER version string to use for parsing. If None, attempts to detect

  • default. (from file or falls back to)

data: NDArray[np.float64][source]
classmethod from_dict(d: dict[str, Any]) Self[source]

Deserialize object from dictionary produced by as_dict.

Parameters:

d (dict) – Dictionary produced by as_dict.

Returns:

Reconstructed instance.

Return type:

COXXCAR

get_interaction_indices_by_properties(indices: list[int] | None = None, centers: list[str] | None = None, cells: list[list[int]] | None = None, orbitals: list[str] | None = None, length: tuple[float, float] | None = None) list[int][source]

Returns indices of interactions that match provided property filters.

Parameters:
  • indices (list[int] | None) – Optional sequence of interaction indices to match.

  • centers (list[str] | None) – Optional sequence of center name substrings; interaction must contain each

  • times. (orbital substring the required number of)

  • cells (list[list[int]] | None) – Optional sequence of cell vectors to match against interaction cells.

  • orbitals (list[str] | None) – Optional sequence of orbital name substrings; interaction must contain each

  • times.

  • length (tuple[float, float] | None) – Optional (min, max) tuple to filter interactions by length inclusive.

Returns:

Sorted list of interaction indices that match all supplied filters. If no filters are supplied, returns an empty list.

Return type:

list[int]

get_interactions_by_properties(indices: list[int] | None = None, centers: list[str] | None = None, cells: list[list[int]] | None = None, orbitals: list[str] | None = None, length: tuple[float, float] | None = None) list[LobsterInteractionData][source]

Return interaction metadata dicts that match the provided filters.

Parameters:
  • indices (list[int] | None) – Interaction indices to filter.

  • centers (list[str] | None) – Atom centers to filter.

  • cells (list[list[int]] | None) – Unit cell indices to filter.

  • orbitals (list[str] | None) – Orbitals to filter.

  • length (tuple[float, float] | None) – Length range to filter.

Returns:

List of interaction dictionaries matching the filters.

Return type:

list[dict]

static get_label_from_interaction(interaction: LobsterInteraction, include_centers: bool = True, include_orbitals: bool = True, include_cells: bool = False, include_length: bool = False) str[source]

Generates a label string for a given interaction.

Parameters:

interaction (LobsterInteraction) – Interaction metadata dictionary.

Returns:

Formatted label string representing the interaction.

Return type:

str

interactions: list[LobsterInteractionData][source]
abstractmethod process_data_into_interactions() None[source]

Abstract method to process raw data into structured interaction metadata. Must be implemented by subclasses. This method should populate the interactions attribute based on the raw data and any other relevant attributes. The exact processing logic will depend on the specific format and content of the data in the subclass.

version_processors = {}[source]

pymatgen.io.lobster.future.inputs module

Module for reading LOBSTER input files. For more information on LOBSTER see www.cohp.de.

If you use this module, please cite: J. George, G. Petretto, A. Naik, M. Esters, A. J. Jackson, R. Nelson, R. Dronskowski, G.-M. Rignanese, G. Hautier, “Automated Bonding Analysis with Crystal Orbital Hamilton Populations”, ChemPlusChem 2022, e202200123, DOI: 10.1002/cplu.202200123.

class LobsterIn(settingsdict: dict)[source]

Bases: UserDict, MSONable

Handles and generates lobsterin files for LOBSTER calculations.

This class provides methods to create, modify, and write lobsterin files, which are input files for the LOBSTER program. It also includes utilities for generating related files such as INCAR, KPOINTS, and POSCAR, and for comparing different lobsterin configurations.

Reminder: LOBSTER input keywords are not case-sensitive.

FLOAT_KEYWORDS[source]

Keywords requiring float values.

Type:

ClassVar[dict[str, str]]

STRING_KEYWORDS[source]

Keywords requiring string values.

Type:

ClassVar[dict[str, str]]

BOOLEAN_KEYWORDS[source]

Keywords that are boolean flags.

Type:

ClassVar[dict[str, str]]

LIST_KEYWORDS[source]

Keywords requiring lists of strings.

Type:

ClassVar[dict[str, str]]

AVAILABLE_KEYWORDS[source]

All known keywords mapped to their canonical forms.

Type:

ClassVar[dict[str, str]]

Initializes a LobsterIn object with the given settings.

Parameters:

settingsdict (dict) – Dictionary of settings to initialize the LobsterIn object.

Raises:

KeyError – If there are duplicate keywords (case-insensitive).

AVAILABLE_KEYWORDS: ClassVar[dict[str, str]] = {'autorotate': 'autoRotate', 'bandwisespilling': 'bandwiseSpilling', 'basisfunctions': 'basisfunctions', 'basisrotation': 'basisRotation', 'basisset': 'basisSet', 'bwdf': 'BWDF', 'bwdfcohp': 'BWDFCOHP', 'cobibetween': 'cobiBetween', 'cohpbetween': 'cohpbetween', 'cohpendenergy': 'COHPendEnergy', 'cohpgenerator': 'cohpGenerator', 'cohpstartenergy': 'COHPstartEnergy', 'cohpsteps': 'COHPSteps', 'createfatband': 'createFatband', 'customstoforatom': 'customSTOforAtom', 'densityofenergy': 'DensityOfEnergy', 'donotignoreexcessivebands': 'doNotIgnoreExcessiveBands', 'donotorthogonalizebasis': 'doNotOrthogonalizeBasis', 'donotuseabsolutespilling': 'doNotUseAbsoluteSpilling', 'ewaldsum': 'EwaldSum', 'forceenergyrange': 'forceEnergyRange', 'forcev1hmatrix': 'forceV1HMatrix', 'gaussiansmearingwidth': 'gaussianSmearingWidth', 'gridbufferforprinting': 'gridBufferForPrinting', 'griddensityforprinting': 'gridDensityForPrinting', 'kpointwisespilling': 'kpointwiseSpilling', 'kspacecohp': 'kSpaceCOHP', 'loadprojectionfromfile': 'loadProjectionFromFile', 'lsodos': 'LSODOS', 'nofftforvisualization': 'noFFTforVisualization', 'nomemorymappedfiles': 'noMemoryMappedFiles', 'onlyreadvasprun.xml': 'onlyReadVasprun.xml', 'printlcaorealspacewavefunction': 'printLCAORealSpaceWavefunction', 'printlmosonatoms': 'printLmosOnAtoms', 'printlmosonatomswriteatomicdensities': 'printLmosOnAtomswriteAtomicDensities', 'printmofeatomwise': 'printMofeAtomWise', 'printmofemoleculewise': 'printMofeMoleculeWise', 'printpawrealspacewavefunction': 'printPAWRealSpaceWavefunction', 'printtotalspilling': 'printTotalSpilling', 'realspacehamiltonian': 'realspaceHamiltonian', 'realspaceoverlap': 'realspaceOverlap', 'rmsp': 'RMSp', 'saveprojectiontofile': 'saveProjectionToFile', 'skipcar': 'skipCar', 'skipcobi': 'skipcobi', 'skipcohp': 'skipcohp', 'skipcoop': 'skipcoop', 'skipdos': 'skipdos', 'skipgrosspopulation': 'skipGrossPopulation', 'skipmadelungenergy': 'skipMadelungEnergy', 'skipmofe': 'skipMOFE', 'skipmolecularorbitals': 'skipMolecularOrbitals', 'skippaworthonormalitytest': 'skipPAWOrthonormalityTest', 'skippopulationanalysis': 'skipPopulationAnalysis', 'skipprojection': 'skipProjection', 'skipreorthonormalization': 'skipReOrthonormalization', 'usedecimalplaces': 'useDecimalPlaces', 'useoriginaltetrahedronmethod': 'useOriginalTetrahedronMethod', 'userecommendedbasisfunctions': 'userecommendedbasisfunctions', 'writeatomicorbitals': 'writeAtomicOrbitals', 'writebasisfunctions': 'writeBasisFunctions', 'writematricestofile': 'writeMatricesToFile'}[source]
BOOLEAN_KEYWORDS: ClassVar[dict[str, str]] = {'autorotate': 'autoRotate', 'bandwisespilling': 'bandwiseSpilling', 'bwdf': 'BWDF', 'bwdfcohp': 'BWDFCOHP', 'densityofenergy': 'DensityOfEnergy', 'donotignoreexcessivebands': 'doNotIgnoreExcessiveBands', 'donotorthogonalizebasis': 'doNotOrthogonalizeBasis', 'donotuseabsolutespilling': 'doNotUseAbsoluteSpilling', 'forceenergyrange': 'forceEnergyRange', 'forcev1hmatrix': 'forceV1HMatrix', 'kpointwisespilling': 'kpointwiseSpilling', 'loadprojectionfromfile': 'loadProjectionFromFile', 'lsodos': 'LSODOS', 'nofftforvisualization': 'noFFTforVisualization', 'nomemorymappedfiles': 'noMemoryMappedFiles', 'onlyreadvasprun.xml': 'onlyReadVasprun.xml', 'printlmosonatoms': 'printLmosOnAtoms', 'printmofeatomwise': 'printMofeAtomWise', 'printmofemoleculewise': 'printMofeMoleculeWise', 'printtotalspilling': 'printTotalSpilling', 'rmsp': 'RMSp', 'saveprojectiontofile': 'saveProjectionToFile', 'skipcar': 'skipCar', 'skipcobi': 'skipcobi', 'skipcohp': 'skipcohp', 'skipcoop': 'skipcoop', 'skipdos': 'skipdos', 'skipgrosspopulation': 'skipGrossPopulation', 'skipmadelungenergy': 'skipMadelungEnergy', 'skipmofe': 'skipMOFE', 'skipmolecularorbitals': 'skipMolecularOrbitals', 'skippaworthonormalitytest': 'skipPAWOrthonormalityTest', 'skippopulationanalysis': 'skipPopulationAnalysis', 'skipprojection': 'skipProjection', 'skipreorthonormalization': 'skipReOrthonormalization', 'useoriginaltetrahedronmethod': 'useOriginalTetrahedronMethod', 'userecommendedbasisfunctions': 'userecommendedbasisfunctions', 'writeatomicorbitals': 'writeAtomicOrbitals', 'writebasisfunctions': 'writeBasisFunctions', 'writematricestofile': 'writeMatricesToFile'}[source]
FLOAT_KEYWORDS: ClassVar[dict[str, str]] = {'basisrotation': 'basisRotation', 'cohpendenergy': 'COHPendEnergy', 'cohpstartenergy': 'COHPstartEnergy', 'cohpsteps': 'COHPSteps', 'gaussiansmearingwidth': 'gaussianSmearingWidth', 'gridbufferforprinting': 'gridBufferForPrinting', 'griddensityforprinting': 'gridDensityForPrinting', 'usedecimalplaces': 'useDecimalPlaces'}[source]
LIST_KEYWORDS: ClassVar[dict[str, str]] = {'basisfunctions': 'basisfunctions', 'cobibetween': 'cobiBetween', 'cohpbetween': 'cohpbetween', 'createfatband': 'createFatband', 'customstoforatom': 'customSTOforAtom', 'printlmosonatomswriteatomicdensities': 'printLmosOnAtomswriteAtomicDensities'}[source]
STRING_KEYWORDS: ClassVar[dict[str, str]] = {'basisset': 'basisSet', 'cohpgenerator': 'cohpGenerator', 'ewaldsum': 'EwaldSum', 'kspacecohp': 'kSpaceCOHP', 'printlcaorealspacewavefunction': 'printLCAORealSpaceWavefunction', 'printpawrealspacewavefunction': 'printPAWRealSpaceWavefunction', 'realspacehamiltonian': 'realspaceHamiltonian', 'realspaceoverlap': 'realspaceOverlap'}[source]
as_dict() dict[source]

Converts the LobsterIn object to a dictionary.

Returns:

A dictionary representation of the LobsterIn object.

Return type:

dict

diff(other: Self) dict[str, dict[str, Any]][source]

Compares two LobsterIn objects and identifies differences.

Parameters:

other (LobsterIn) – The other LobsterIn object to compare.

Returns:

A dictionary with keys “Same” and “Different”,

containing the same and differing parameters, respectively.

Return type:

dict[str, dict[str, Any]]

classmethod from_dict(dct: dict) Self[source]

Creates a LobsterIn object from a dictionary.

Parameters:

dct (dict) – A dictionary representation of a LobsterIn object.

Returns:

The created LobsterIn object.

Return type:

LobsterIn

classmethod from_file(lobsterin: PathLike) Self[source]

Creates a LobsterIn object from a lobsterin file.

Parameters:

lobsterin (PathLike) – Path to the lobsterin file.

Returns:

The created LobsterIn object.

Return type:

LobsterIn

Raises:
  • RuntimeError – If the lobsterin file contains no data.

  • ValueError – If invalid keywords are found or if there are duplicate keywords.

static get_all_possible_basis_functions(structure: Structure | IStructure, potcar_symbols: list[str], address_basis_file_min: PathLike | None = None, address_basis_file_max: PathLike | None = None) list[dict][source]
Parameters:
  • structure – Structure object

  • potcar_symbols – list of the potcar symbols

  • address_basis_file_min – path to file with the minimum required basis by the POTCAR

  • address_basis_file_max – path to file with the largest possible basis of the POTCAR.

Returns:

Can be used to create new Lobsterin objects in

standard_calculations_from_vasp_files as dict_for_basis

Return type:

list[dict]

static get_basis(structure: Structure | IStructure, potcar_symbols: list[str], address_basis_file: PathLike | None = None) list[str][source]

Retrieves basis functions for the given structure and POTCAR symbols.

Parameters:
  • structure (Structure | IStructure) – The structure object.

  • potcar_symbols (list[str]) – List of POTCAR symbols.

  • address_basis_file (PathLike | None) – Path to the basis file. Defaults to None.

Returns:

List of basis functions.

Return type:

list[str]

Raises:

ValueError – If the POSCAR does not match the POTCAR or if basis information is missing.

classmethod standard_calculations_from_vasp_files(POSCAR_input: PathLike = 'POSCAR', INCAR_input: PathLike = 'INCAR', POTCAR_input: PathLike | None = None, Vasprun_output: PathLike = 'vasprun.xml', dict_for_basis: dict | None = None, option: str = 'standard') Self[source]

Generate lobsterin with standard settings.

Parameters:
  • POSCAR_input (PathLike) – path to POSCAR

  • INCAR_input (PathLike) – path to INCAR

  • POTCAR_input (PathLike) – path to POTCAR

  • Vasprun_output (PathLike) – path to vasprun.xml

  • dict_for_basis (dict) – can be provided: it should look the following: dict_for_basis={“Fe”:’3p 3d 4s 4f’, “C”: ‘2s 2p’} and will overwrite all settings from POTCAR_input

  • option (str) – ‘standard’ will start a normal LOBSTER run where COHPs, COOPs, DOS, CHARGE etc. will be calculated ‘standard_with_energy_range_from_vasprun’ will start a normal LOBSTER run for entire energy range of VASP static run. vasprun.xml file needs to be in current directory. ‘standard_from_projection’ will start a normal LOBSTER run from a projection ‘standard_with_fatband’ will do a fatband calculation, run over all orbitals ‘onlyprojection’ will only do a projection ‘onlydos’ will only calculate a projected dos ‘onlycohp’ will only calculate cohp ‘onlycoop’ will only calculate coop ‘onlycohpcoop’ will only calculate cohp and coop

Returns:

Lobsterin with standard settings

write_INCAR(incar_input: PathLike = 'INCAR', incar_output: PathLike = 'INCAR.lobster', poscar_input: PathLike = 'POSCAR', isym: Literal[-1, 0] = 0, further_settings: dict | None = None) None[source]

Writes a modified INCAR file for LOBSTER calculations.

Parameters:
  • incar_input (PathLike) – Path to the input INCAR file.

  • incar_output (PathLike) – Path to the output INCAR file.

  • poscar_input (PathLike) – Path to the input POSCAR file.

  • isym (Literal[-1, 0]) – ISYM value to set. Defaults to 0.

  • further_settings (dict | None) – Additional settings to include in the INCAR file.

Raises:

ValueError – If isym is not -1 or 0.

static write_KPOINTS(POSCAR_input: PathLike = 'POSCAR', KPOINTS_output: PathLike = 'KPOINTS.lobster', reciprocal_density: int = 100, isym: Literal[-1, 0] = 0, from_grid: bool = False, input_grid: tuple[int, int, int] = (5, 5, 5), line_mode: bool = True, kpoints_line_density: int = 20, symprec: float = 0.01) None[source]

Write a gamma-centered KPOINTS file for LOBSTER.

Parameters:
  • POSCAR_input (PathLike) – path to POSCAR

  • KPOINTS_output (PathLike) – path to output KPOINTS

  • reciprocal_density (int) – Grid density

  • isym (-1 | 0) – ISYM value.

  • from_grid (bool) – If True KPOINTS will be generated with the help of a grid given in input_grid. Otherwise, they will be generated from the reciprocal_density

  • input_grid (tuple) – grid to generate the KPOINTS file

  • line_mode (bool) – If True, band structure will be generated

  • kpoints_line_density (int) – density of the lines in the band structure

  • symprec (float) – precision to determine symmetry

static write_POSCAR_with_standard_primitive(POSCAR_input: PathLike = 'POSCAR', POSCAR_output: PathLike = 'POSCAR.lobster', symprec: float = 0.01) None[source]

Writes a POSCAR file with the standard primitive cell.

Parameters:
  • POSCAR_input (PathLike) – Path to the input POSCAR file.

  • POSCAR_output (PathLike) – Path to the output POSCAR file.

  • symprec (float) – Precision for symmetry determination. Defaults to 0.01.

write_lobsterin(path: PathLike = 'lobsterin', overwritedict: dict | None = None) None[source]

Writes the LobsterIn object to a lobsterin file.

Parameters:
  • path (PathLike) – The output file path. Defaults to “lobsterin”.

  • overwritedict (dict | None) – A dictionary of settings to overwrite before writing.

get_all_possible_basis_combinations(min_basis: list, max_basis: list) list[list[str]][source]

Get all possible basis combinations.

Parameters:
  • min_basis – list of basis entries: e.g., [“Si 3p 3s”]

  • max_basis – list of basis entries: e.g., [“Si 3p 3s”].

Returns:

all possible combinations of basis functions, e.g. [[“Si 3p 3s”]]

Return type:

list[list[str]]

pymatgen.io.lobster.future.lobsterenv module

Deprecated class for analyzing NearNeighbors using ICOHPs/ICOOPs/ICOBIs.

class LobsterNeighbors(*args, **kwargs)[source]

Bases: object

Deprecated LobsterNeighbors class for analyzing NearNeighbor interactions using ICOHPs/ICOOPs/ICOBIs.

pymatgen.io.lobster.future.types module

class LobsterBandOverlaps[source]

Bases: TypedDict

Dictionary representing band overlaps in LOBSTER.

k_points[source]

List of k-points for each spin.

Type:

dict[Spin, list[list[float]]]

matrices[source]

List of matrices for each spin.

Type:

dict[Spin, list[NDArray[floating]]]

max_deviations[source]

List of maximal deviations for each spin.

Type:

dict[Spin, list[float]]

k_points: dict[Spin, list[list[float]]][source]
matrices: dict[Spin, list[NDArray[floating]]][source]
max_deviations: dict[Spin, list[float]][source]
class LobsterFatband[source]

Bases: TypedDict

Dictionary representing fatband data in LOBSTER.

center[source]

Atom associated with the fatband.

Type:

str

orbital[source]

Orbital associated with the fatband.

Type:

str

energies[source]

Energies at each k-point for each spin.

Type:

dict[Spin, NDArray[floating]]

projections[source]

Weights/projections at each k-point for each spin.

Type:

dict[Spin, NDArray[floating]]

center: str[source]
energies: dict[Spin, NDArray[floating]][source]
orbital: str[source]
projections: dict[Spin, NDArray[floating]][source]
class LobsterFatbands[source]

Bases: TypedDict

Dictionary representing multiple fatbands in LOBSTER.

k_points[source]

List of k-points.

Type:

list[list[float]]

bands[source]

List of fatband dictionaries.

Type:

list[LobsterFatband]

bands: list[LobsterFatband][source]
k_points: list[list[float]][source]
class LobsterInteraction[source]

Bases: TypedDict

Dictionary representing a chemical interaction in LOBSTER.

This dictionary stores information about a specific interaction between atoms in a structure.

index[source]

The index of the interaction.

Type:

int

centers[source]

List of strings representing the centers of the interaction (e.g., “Fe1”, “O2”).

Type:

list[str]

cells[source]

List of lists of integers representing the cells of the interaction

Type:

list[list[int]] | NDArray[integer]

(e.g., [0, 0, 0]).
orbitals[source]

List of strings representing the orbitals involved in the interaction

Type:

list[str | None]

(e.g., "2s", "2p_x").
length[source]

The length of the interaction, representing the distance between the centers.

Type:

float | None

cells: list[list[int]] | NDArray[integer][source]
centers: list[str][source]
index: int[source]
length: float | None[source]
orbitals: list[str | None][source]
class LobsterInteractionData[source]

Bases: dict

Dictionary representing a chemical interaction in LOBSTER with additional COXX/ICOXX data.

Extends LobsterInteraction by adding COXX and ICOXX values for each spin.

coxx[source]

COXX values for each spin.

Type:

dict[Spin, NDArray[floating] | float]

icoxx[source]

ICOXX values for each spin.

Type:

dict[Spin, NDArray[floating] | float]

cells: list[list[int]] | NDArray[integer][source]
centers: list[str][source]
coxx: dict[Spin, NDArray[floating] | float][source]
icoxx: dict[Spin, NDArray[floating] | float][source]
index: int[source]
length: float | None[source]
orbitals: list[str | None][source]

pymatgen.io.lobster.future.utils module

convert_spin_keys(obj: Any) Any[source]

Convert an object to a JSON-compatible format recursively.

This function ensures that the input object is converted into a format that can be serialized into JSON. It handles lists, tuples, dictionaries, and enums.

Parameters:

obj (Any) – Input object to convert.

Returns:

JSON-compatible representation of the input object.

Return type:

Any

Example

>>> make_json_compatible({"key": Enum("Example", "value")})
{'key': 'value'}
natural_sort(list_to_sort: str) list[Any][source]

Sort a list of strings in human order.

This function sorts strings in a way that humans would expect, taking into account numerical values within the strings.

Parameters:

list_to_sort (str) – List of strings to sort.

Returns:

Sorted list of strings in human order.

Return type:

list[Any]

Example

>>> natural_sort(["file10", "file2", "file1"])
['file1', 'file2', 'file10']
parse_orbital_from_text(text: str) str | None[source]

Parse the orbital from a text string of an ICOXXLIST file.

This function extracts the orbital information from a given text string. It checks for valid orbital patterns and returns the matched orbital.

Parameters:

text (str) – Text string to parse the orbital from.

Returns:

Parsed orbital string if a valid orbital is found, otherwise None.

Return type:

str | None

Example

>>> parse_orbital_from_text("1s_2p_x")
'2p_x'
restore_spin_keys(obj: Any) Any[source]

Restore Spin enum keys from JSON-serialized format.

This function recursively processes an object and converts string keys “1” and “-1” back to Spin.up and Spin.down enum values. It handles nested lists, tuples, and dictionaries.

Parameters:

obj (Any) – Input object with potential Spin keys as strings.

Returns:

Object with Spin enum keys restored.

Return type:

Any

Example

>>> restore_spin_keys({"1": [1, 2], "-1": [3, 4]})
{<Spin.up: 1>: [1, 2], <Spin.down: -1>: [3, 4]}

pymatgen.io.lobster.future.versioning module

version_processor(min_version: str = '0.0', max_version: str | None = None) Callable[[F], F][source]

Decorator to mark a method as a version processor.

Parameters:
  • min_version (str) – Minimum version for which the processor is valid.

  • max_version (str | None) – Maximum version for which the processor is valid.

Returns:

Decorator for versioned processor methods.

Return type:

Callable[[F], F]