core.table.load_table

core.table.load_table(
    filename,
    sep=None,
    reader=None,
    digits=4,
    space=4,
    title='',
    missing_data='',
    max_width=int(1e+100),
    index_name=None,
    legend='',
    column_templates=None,
    static_column_types=False,
    limit=None,
    format_name='simple',
    skip_inconsistent=False,
    **kwargs,
)

return a Table instance from a file containing tabular data.

Parameters

Name	Type	Description	Default
filename	str | pathlib.Path	path to file containing a tabular data	required
sep	str | None	the delimiting character between columns	None
reader	typing.Callable | None	a parser for reading filename. This approach assumes the first row returned by the reader will be the header row.	None
static_column_types	bool	if True, and reader is None, identifies columns with a numeric/bool data types from the first non-header row. This assumes all subsequent entries in that column are of the same type. Default is False.	False
digits	int	floating point resolution	4
space	int	number of spaces between columns or a string	4
title	str	as implied	''
missing_data	str	character assigned if a row has no entry for a column	''
max_width	int	maximum column width for printing	int(1e+100)
index_name	str | None	column name with values to be used as row identifiers and keys for slicing. All column values must be unique.	None
legend	str	table legend	''
column_templates	dict | None	dict of column headings or a function that will handle the formatting.	None
limit	int | None	exits after this many lines. Only applied for non pickled data file types.	None
format_name	str	output format when using str(Table)	'simple'
skip_inconsistent	bool	skips rows that have different length to header row	False