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
L.append(object) – 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. count
(value)extend
L.extend(iterable) – extend list by appending elements from the 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
L.remove(value) – remove first occurrence of value. reverse
L.reverse() – reverse IN PLACE sort
L.sort(cmp=None, key=None, reverse=False) – stable sort IN PLACE; cmp(x, y) -> -1, 0, 1 Attributes
data