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)[source]

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)

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()

copy()

count(value)

extend(iterable)

extend_right(table)

Return None.

get_colwidths(output_format, **fmt_dict)

Return list, the widths of each column.

index(value, [start, [stop]])

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([index])

Raises IndexError if list is empty or index is out of range.

remove(value)

Raises ValueError if the value is not present.

reverse

L.reverse() – reverse IN PLACE

sort([key, reverse])

Attributes

data