load_table

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

path to file containing a tabular data

sep

the delimiting character between columns

reader

a parser for reading filename. This approach assumes the first row returned by the reader will be the header row.

static_column_types

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.

digits

floating point resolution

space

number of spaces between columns or a string

title

as implied

missing_data

character assigned if a row has no entry for a column

max_width

maximum column width for printing

index_name

column name with values to be used as row identifiers and keys for slicing. All column values must be unique.

legend

table legend

column_templates

dict of column headings or a function that will handle the formatting.

limit

exits after this many lines. Only applied for non pickled data file types.

format

output format when using str(Table)

skip_inconsistent

skips rows that have different length to header row