# 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