statsmodels.iolib.table.SimpleTable

class statsmodels.iolib.table.SimpleTable(data, headers=None, stubs=None, title='', datatypes=None, csv_fmt=None, txt_fmt=None, ltx_fmt=None, html_fmt=None, celltype=None, rowtype=None, **fmt_dict)

Produce a simple ASCII, CSV, HTML, or LaTeX table from a rectangular (2d!) array of data, not necessarily numerical. Directly supports at most one header row, which should be the length of data[0]. Directly supports at most one stubs column, which must be the length of data. (But see insert_stubs method.) See globals default_txt_fmt, default_csv_fmt, default_html_fmt, and default_latex_fmt for formatting options.

Sample uses:

mydata = [[11,12],[21,22]]  # data MUST be 2-dimensional
myheaders = [ "Column 1", "Column 2" ]
mystubs = [ "Row 1", "Row 2" ]
tbl = text.SimpleTable(mydata, myheaders, mystubs, title="Title")
print( tbl )
print( tbl.as_html() )
# set column specific data formatting
tbl = text.SimpleTable(mydata, myheaders, mystubs,
    data_fmts=["%3.2f","%d"])
print( tbl.as_csv() )
with open('c:/temp/temp.tex','w') as fh:
    fh.write( tbl.as_latex_tabular() )

Methods

append((object) -> None – append object to end)
as_csv(**fmt_dict)	Return string, the table in CSV format.
as_html(**fmt_dict)	Return string.
as_latex_tabular([center])	Return string, the table as a LaTeX tabular environment.
as_text(**fmt_dict)	Return string, the table as text.
clear(() -> None – remove all items from L)
copy(() -> list – a shallow copy of L)
count(...)
extend(...)
extend_right(table)	Return None.
get_colwidths(output_format, **fmt_dict)	Return list, the widths of each column.
index((value, [start, ...)	Raises ValueError if the value is not present.
insert(idx, row[, datatype])	Return None.
insert_header_row(rownum, headers[, dec_below])	Return None.
insert_stubs(loc, stubs)	Return None.
label_cells(func)	Return None.
pad(s, width, align)	DEPRECATED: just use the pad function
pop(...)	Raises IndexError if list is empty or index is out of range.
remove(...)	Raises ValueError if the value is not present.
reverse	L.reverse() – reverse IN PLACE
sort((key=None[, reverse])

Attributes

data