make_table#
- make_table(header: list[str] | None = None, data: dict | None = None, row_order: list | None = None, digits: int = 4, space: int = 4, title: str = '', max_width: int = 10000000000000000159028911097599180468360808563945281389781327557747838772170381060813469985856815104, index_name: str | None = None, legend: str = '', missing_data: str = '', column_templates: dict | None = None, data_frame: DataFrame | None = None, format_name: str = 'simple', **kwargs) Table#
- Parameters:
- header
column headings
- data
a 2D dict, list or tuple. If a dict, it must have column headings as top level keys, and common row labels as keys in each column.
- row_order
the order in which rows will be pulled from the twoDdict
- digits
floating point resolution
- space
number of spaces between columns or a string
- title
as implied
- 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
- missing_data
replace missing data with this
- 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.
- data_frame
a pandas DataFrame, supersedes header/rows
- format_name
output format when using str(Table)