dataio.loadopts

class SimLoadOpts(file_ext='.csv', delimiter=',', workers=None, coord_header=0, time_header=0, connect_header=None, glob_header=0, node_field_header=0, elem_field_header=0)

Bases: object

Dataclass of options for loading simulation data from plain delimited text files.

file_ext

File extension for reading simulation data files.

delimiter

Delimiter used to separate values in the plain text files to read.

workers

Number of workers (i.e. multi-processing processes) to use when reading data files. Useful for reading many large data files in parallel. Defaults to None which does not use multi-processing.

coord_header

Row indices to skip reading when loading plain text for the coordinate data file. Defaults to 0 which skips the first row as a header.

time_header

Row indices to skip reading when loading plain text for the time data file. Defaults to 0 which skips the first row as a header.

connect_header

Row indices to skip reading when loading plain text for the connectivity data files. Defaults to 0 which skips the first row as a header.

glob_header

Row indices to skip reading when loading plain text for the global variable data file. Defaults to 0 which skips the first row as a header.

__init__(file_ext='.csv', delimiter=',', workers=None, coord_header=0, time_header=0, connect_header=None, glob_header=0, node_field_header=0, elem_field_header=0)

node_field_header

Row indices to skip reading when loading plain text for the nodal variables data files. Defaults to 0 which skips the first row as a header.

elem_field_header

Row indices to skip reading when loading plain text for the element variables data files. Defaults to 0 which skips the first row as a header.

class ExpLoadOpts(header_rows=0, file_ext='.csv', delimiter=',', workers=None)

Bases: object

TODO

__init__(header_rows=0, file_ext='.csv', delimiter=',', workers=None)

header_rows

file_ext

delimiter

Delimiter used to separate values in the plain text files to read.

workers

Number of workers (i.e. multi-processing processes) to use when reading data files. Useful for reading many large data files in parallel. Defaults to None which does not use multi-processing.