/usr/lib/rads/venv/lib/python3.13/site-packages/tabulate
Edit: /usr/lib/rads/venv/lib/python3.13/site-packages/tabulate/__init__.py (95290B)
"""Pretty-print tabular data."""
from collections import namedtuple
from collections.abc import Iterable, Sized
from html import escape as htmlescape
from itertools import chain, zip_longest as izip_longest
from functools import reduce, partial
import io
import re
import math
import textwrap
import dataclasses
try:
import wcwidth # optional wide-character (CJK) support
except ImportError:
wcwidth = None
def _is_file(f):
return isinstance(f, io.IOBase)
__all__ = ["tabulate", "tabulate_formats", "simple_separated_format"]
try:
from .version import version as __version__ # noqa: F401
except ImportError:
pass # running __init__.py as a script, AppVeyor pytests
# minimum extra space in headers
MIN_PADDING = 2
# Whether or not to preserve leading/trailing whitespace in data.
PRESERVE_WHITESPACE = False
_DEFAULT_FLOATFMT = "g"
_DEFAULT_INTFMT = ""
_DEFAULT_MISSINGVAL = ""
# default align will be overwritten by "left", "center" or "decimal"
# depending on the formatter
_DEFAULT_ALIGN = "default"
# if True, enable wide-character (CJK) support
WIDE_CHARS_MODE = wcwidth is not None
# Constant that can be used as part of passed rows to generate a separating line
# It is purposely an unprintable character, very unlikely to be used in a table
SEPARATING_LINE = "\001"
Line = namedtuple("Line", ["begin", "hline", "sep", "end"])
DataRow = namedtuple("DataRow", ["begin", "sep", "end"])
# A table structure is supposed to be:
#
# --- lineabove ---------
# headerrow
# --- linebelowheader ---
# datarow
# --- linebetweenrows ---
# ... (more datarows) ...
# --- linebetweenrows ---
# last datarow
# --- linebelow ---------
#
# TableFormat's line* elements can be
#
# - either None, if the element is not used,
# - or a Line tuple,
# - or a function: [col_widths], [col_alignments] -> string.
#
# TableFormat's *row elements can be
#
# - either None, if the element is not used,
# - or a DataRow tuple,
# - or a function: [cell_values], [col_widths], [col_alignments] -> string.
#
# padding (an integer) is the amount of white space around data values.
#
# with_header_hide:
#
# - either None, to display all table elements unconditionally,
# - or a list of elements not to be displayed if the table has column headers.
#
TableFormat = namedtuple(
"TableFormat",
[
"lineabove",
"linebelowheader",
"linebetweenrows",
"linebelow",
"headerrow",
"datarow",
"padding",
"with_header_hide",
],
)
def _is_separating_line(row):
row_type = type(row)
is_sl = (row_type == list or row_type == str) and (
(len(row) >= 1 and row[0] == SEPARATING_LINE)
or (len(row) >= 2 and row[1] == SEPARATING_LINE)
)
return is_sl
def _pipe_segment_with_colons(align, colwidth):
"""Return a segment of a horizontal line with optional colons which
indicate column's alignment (as in `pipe` output format)."""
w = colwidth
if align in ["right", "decimal"]:
return ("-" * (w - 1)) + ":"
elif align == "center":
return ":" + ("-" * (w - 2)) + ":"
elif align == "left":
return ":" + ("-" * (w - 1))
else:
return "-" * w
def _pipe_line_with_colons(colwidths, colaligns):
"""Return a horizontal line with optional colons to indicate column's
alignment (as in `pipe` output format)."""
if not colaligns: # e.g. printing an empty data frame (github issue #15)
colaligns = [""] * len(colwidths)
segments = [_pipe_segment_with_colons(a, w) for a, w in zip(colaligns, colwidths)]
return "|" + "|".join(segments) + "|"
def _mediawiki_row_with_attrs(separator, cell_values, colwidths, colaligns):
alignment = {
"left": "",
"right": 'align="right"| ',
"center": 'align="center"| ',
"decimal": 'align="right"| ',
}
# hard-coded padding _around_ align attribute and value together
# rather than padding parameter which affects only the value
values_with_attrs = [
" " + alignment.get(a, "") + c + " " for c, a in zip(cell_values, colaligns)
]
colsep = separator * 2
return (separator + colsep.join(values_with_attrs)).rstrip()
def _textile_row_with_attrs(cell_values, colwidths, colaligns):
cell_values[0] += " "
alignment = {"left": "<.", "right": ">.", "center": "=.", "decimal": ">."}
values = (alignment.get(a, "") + v for a, v in zip(colaligns, cell_values))
return "|" + "|".join(values) + "|"
def _html_begin_table_without_header(colwidths_ignore, colaligns_ignore):
# this table header will be suppressed if there is a header row
return "
\n"
def _html_row_with_attrs(celltag, unsafe, cell_values, colwidths, colaligns):
alignment = {
"left": "",
"right": ' style="text-align: right;"',
"center": ' style="text-align: center;"',
"decimal": ' style="text-align: right;"',
}
if unsafe:
values_with_attrs = [
"<{0}{1}>{2}".format(celltag, alignment.get(a, ""), c)
for c, a in zip(cell_values, colaligns)
]
else:
values_with_attrs = [
"<{0}{1}>{2}".format(celltag, alignment.get(a, ""), htmlescape(c))
for c, a in zip(cell_values, colaligns)
]
rowhtml = "{}
".format("".join(values_with_attrs).rstrip())
if celltag == "th": # it's a header row, create a new table header
rowhtml = f"\n\n{rowhtml}\n\n"
return rowhtml
def _moin_row_with_attrs(celltag, cell_values, colwidths, colaligns, header=""):
alignment = {
"left": "",
"right": '',
"center": '',
"decimal": '',
}
values_with_attrs = [
"{}{} {} ".format(celltag, alignment.get(a, ""), header + c + header)
for c, a in zip(cell_values, colaligns)
]
return "".join(values_with_attrs) + "||"
def _latex_line_begin_tabular(colwidths, colaligns, booktabs=False, longtable=False):
alignment = {"left": "l", "right": "r", "center": "c", "decimal": "r"}
tabular_columns_fmt = "".join([alignment.get(a, "l") for a in colaligns])
return "\n".join(
[
("\\begin{tabular}{" if not longtable else "\\begin{longtable}{")
+ tabular_columns_fmt
+ "}",
"\\toprule" if booktabs else "\\hline",
]
)
def _asciidoc_row(is_header, *args):
"""handle header and data rows for asciidoc format"""
def make_header_line(is_header, colwidths, colaligns):
# generate the column specifiers
alignment = {"left": "<", "right": ">", "center": "^", "decimal": ">"}
# use the column widths generated by tabulate for the asciidoc column width specifiers
asciidoc_alignments = zip(
colwidths, [alignment[colalign] for colalign in colaligns]
)
asciidoc_column_specifiers = [
"{:d}{}".format(width, align) for width, align in asciidoc_alignments
]
header_list = ['cols="' + (",".join(asciidoc_column_specifiers)) + '"']
# generate the list of options (currently only "header")
options_list = []
if is_header:
options_list.append("header")
if options_list:
header_list += ['options="' + ",".join(options_list) + '"']
# generate the list of entries in the table header field
return "[{}]\n|====".format(",".join(header_list))
if len(args) == 2:
# two arguments are passed if called in the context of aboveline
# print the table header with column widths and optional header tag
return make_header_line(False, *args)
elif len(args) == 3:
# three arguments are passed if called in the context of dataline or headerline
# print the table line and make the aboveline if it is a header
cell_values, colwidths, colaligns = args
data_line = "|" + "|".join(cell_values)
if is_header:
return make_header_line(True, colwidths, colaligns) + "\n" + data_line
else:
return data_line
else:
raise ValueError(
" _asciidoc_row() requires two (colwidths, colaligns) "
+ "or three (cell_values, colwidths, colaligns) arguments) "
)
LATEX_ESCAPE_RULES = {
r"&": r"\&",
r"%": r"\%",
r"$": r"\$",
r"#": r"\#",
r"_": r"\_",
r"^": r"\^{}",
r"{": r"\{",
r"}": r"\}",
r"~": r"\textasciitilde{}",
"\\": r"\textbackslash{}",
r"<": r"\ensuremath{<}",
r">": r"\ensuremath{>}",
}
def _latex_row(cell_values, colwidths, colaligns, escrules=LATEX_ESCAPE_RULES):
def escape_char(c):
return escrules.get(c, c)
escaped_values = ["".join(map(escape_char, cell)) for cell in cell_values]
rowfmt = DataRow("", "&", "\\\\")
return _build_simple_row(escaped_values, rowfmt)
def _rst_escape_first_column(rows, headers):
def escape_empty(val):
if isinstance(val, (str, bytes)) and not val.strip():
return ".."
else:
return val
new_headers = list(headers)
new_rows = []
if headers:
new_headers[0] = escape_empty(headers[0])
for row in rows:
new_row = list(row)
if new_row:
new_row[0] = escape_empty(row[0])
new_rows.append(new_row)
return new_rows, new_headers
_table_formats = {
"simple": TableFormat(
lineabove=Line("", "-", " ", ""),
linebelowheader=Line("", "-", " ", ""),
linebetweenrows=None,
linebelow=Line("", "-", " ", ""),
headerrow=DataRow("", " ", ""),
datarow=DataRow("", " ", ""),
padding=0,
with_header_hide=["lineabove", "linebelow"],
),
"plain": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("", " ", ""),
datarow=DataRow("", " ", ""),
padding=0,
with_header_hide=None,
),
"grid": TableFormat(
lineabove=Line("+", "-", "+", "+"),
linebelowheader=Line("+", "=", "+", "+"),
linebetweenrows=Line("+", "-", "+", "+"),
linebelow=Line("+", "-", "+", "+"),
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"simple_grid": TableFormat(
lineabove=Line("┌", "─", "┬", "┐"),
linebelowheader=Line("├", "─", "┼", "┤"),
linebetweenrows=Line("├", "─", "┼", "┤"),
linebelow=Line("└", "─", "┴", "┘"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"rounded_grid": TableFormat(
lineabove=Line("╭", "─", "┬", "╮"),
linebelowheader=Line("├", "─", "┼", "┤"),
linebetweenrows=Line("├", "─", "┼", "┤"),
linebelow=Line("╰", "─", "┴", "╯"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"heavy_grid": TableFormat(
lineabove=Line("┏", "━", "┳", "┓"),
linebelowheader=Line("┣", "━", "╋", "┫"),
linebetweenrows=Line("┣", "━", "╋", "┫"),
linebelow=Line("┗", "━", "┻", "┛"),
headerrow=DataRow("┃", "┃", "┃"),
datarow=DataRow("┃", "┃", "┃"),
padding=1,
with_header_hide=None,
),
"mixed_grid": TableFormat(
lineabove=Line("┍", "━", "┯", "┑"),
linebelowheader=Line("┝", "━", "┿", "┥"),
linebetweenrows=Line("├", "─", "┼", "┤"),
linebelow=Line("┕", "━", "┷", "┙"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"double_grid": TableFormat(
lineabove=Line("╔", "═", "╦", "╗"),
linebelowheader=Line("╠", "═", "╬", "╣"),
linebetweenrows=Line("╠", "═", "╬", "╣"),
linebelow=Line("╚", "═", "╩", "╝"),
headerrow=DataRow("║", "║", "║"),
datarow=DataRow("║", "║", "║"),
padding=1,
with_header_hide=None,
),
"fancy_grid": TableFormat(
lineabove=Line("╒", "═", "╤", "╕"),
linebelowheader=Line("╞", "═", "╪", "╡"),
linebetweenrows=Line("├", "─", "┼", "┤"),
linebelow=Line("╘", "═", "╧", "╛"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"outline": TableFormat(
lineabove=Line("+", "-", "+", "+"),
linebelowheader=Line("+", "=", "+", "+"),
linebetweenrows=None,
linebelow=Line("+", "-", "+", "+"),
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"simple_outline": TableFormat(
lineabove=Line("┌", "─", "┬", "┐"),
linebelowheader=Line("├", "─", "┼", "┤"),
linebetweenrows=None,
linebelow=Line("└", "─", "┴", "┘"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"rounded_outline": TableFormat(
lineabove=Line("╭", "─", "┬", "╮"),
linebelowheader=Line("├", "─", "┼", "┤"),
linebetweenrows=None,
linebelow=Line("╰", "─", "┴", "╯"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"heavy_outline": TableFormat(
lineabove=Line("┏", "━", "┳", "┓"),
linebelowheader=Line("┣", "━", "╋", "┫"),
linebetweenrows=None,
linebelow=Line("┗", "━", "┻", "┛"),
headerrow=DataRow("┃", "┃", "┃"),
datarow=DataRow("┃", "┃", "┃"),
padding=1,
with_header_hide=None,
),
"mixed_outline": TableFormat(
lineabove=Line("┍", "━", "┯", "┑"),
linebelowheader=Line("┝", "━", "┿", "┥"),
linebetweenrows=None,
linebelow=Line("┕", "━", "┷", "┙"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"double_outline": TableFormat(
lineabove=Line("╔", "═", "╦", "╗"),
linebelowheader=Line("╠", "═", "╬", "╣"),
linebetweenrows=None,
linebelow=Line("╚", "═", "╩", "╝"),
headerrow=DataRow("║", "║", "║"),
datarow=DataRow("║", "║", "║"),
padding=1,
with_header_hide=None,
),
"fancy_outline": TableFormat(
lineabove=Line("╒", "═", "╤", "╕"),
linebelowheader=Line("╞", "═", "╪", "╡"),
linebetweenrows=None,
linebelow=Line("╘", "═", "╧", "╛"),
headerrow=DataRow("│", "│", "│"),
datarow=DataRow("│", "│", "│"),
padding=1,
with_header_hide=None,
),
"github": TableFormat(
lineabove=Line("|", "-", "|", "|"),
linebelowheader=Line("|", "-", "|", "|"),
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=["lineabove"],
),
"pipe": TableFormat(
lineabove=_pipe_line_with_colons,
linebelowheader=_pipe_line_with_colons,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=["lineabove"],
),
"orgtbl": TableFormat(
lineabove=None,
linebelowheader=Line("|", "-", "+", "|"),
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"jira": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("||", "||", "||"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"presto": TableFormat(
lineabove=None,
linebelowheader=Line("", "-", "+", ""),
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("", "|", ""),
datarow=DataRow("", "|", ""),
padding=1,
with_header_hide=None,
),
"pretty": TableFormat(
lineabove=Line("+", "-", "+", "+"),
linebelowheader=Line("+", "-", "+", "+"),
linebetweenrows=None,
linebelow=Line("+", "-", "+", "+"),
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"psql": TableFormat(
lineabove=Line("+", "-", "+", "+"),
linebelowheader=Line("|", "-", "+", "|"),
linebetweenrows=None,
linebelow=Line("+", "-", "+", "+"),
headerrow=DataRow("|", "|", "|"),
datarow=DataRow("|", "|", "|"),
padding=1,
with_header_hide=None,
),
"rst": TableFormat(
lineabove=Line("", "=", " ", ""),
linebelowheader=Line("", "=", " ", ""),
linebetweenrows=None,
linebelow=Line("", "=", " ", ""),
headerrow=DataRow("", " ", ""),
datarow=DataRow("", " ", ""),
padding=0,
with_header_hide=None,
),
"mediawiki": TableFormat(
lineabove=Line(
'{| class="wikitable" style="text-align: left;"',
"",
"",
"\n|+ \n|-",
),
linebelowheader=Line("|-", "", "", ""),
linebetweenrows=Line("|-", "", "", ""),
linebelow=Line("|}", "", "", ""),
headerrow=partial(_mediawiki_row_with_attrs, "!"),
datarow=partial(_mediawiki_row_with_attrs, "|"),
padding=0,
with_header_hide=None,
),
"moinmoin": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=partial(_moin_row_with_attrs, "||", header="'''"),
datarow=partial(_moin_row_with_attrs, "||"),
padding=1,
with_header_hide=None,
),
"youtrack": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("|| ", " || ", " || "),
datarow=DataRow("| ", " | ", " |"),
padding=1,
with_header_hide=None,
),
"html": TableFormat(
lineabove=_html_begin_table_without_header,
linebelowheader="",
linebetweenrows=None,
linebelow=Line("\n
", "", "", ""),
headerrow=partial(_html_row_with_attrs, "th", False),
datarow=partial(_html_row_with_attrs, "td", False),
padding=0,
with_header_hide=["lineabove"],
),
"unsafehtml": TableFormat(
lineabove=_html_begin_table_without_header,
linebelowheader="",
linebetweenrows=None,
linebelow=Line("\n
", "", "", ""),
headerrow=partial(_html_row_with_attrs, "th", True),
datarow=partial(_html_row_with_attrs, "td", True),
padding=0,
with_header_hide=["lineabove"],
),
"latex": TableFormat(
lineabove=_latex_line_begin_tabular,
linebelowheader=Line("\\hline", "", "", ""),
linebetweenrows=None,
linebelow=Line("\\hline\n\\end{tabular}", "", "", ""),
headerrow=_latex_row,
datarow=_latex_row,
padding=1,
with_header_hide=None,
),
"latex_raw": TableFormat(
lineabove=_latex_line_begin_tabular,
linebelowheader=Line("\\hline", "", "", ""),
linebetweenrows=None,
linebelow=Line("\\hline\n\\end{tabular}", "", "", ""),
headerrow=partial(_latex_row, escrules={}),
datarow=partial(_latex_row, escrules={}),
padding=1,
with_header_hide=None,
),
"latex_booktabs": TableFormat(
lineabove=partial(_latex_line_begin_tabular, booktabs=True),
linebelowheader=Line("\\midrule", "", "", ""),
linebetweenrows=None,
linebelow=Line("\\bottomrule\n\\end{tabular}", "", "", ""),
headerrow=_latex_row,
datarow=_latex_row,
padding=1,
with_header_hide=None,
),
"latex_longtable": TableFormat(
lineabove=partial(_latex_line_begin_tabular, longtable=True),
linebelowheader=Line("\\hline\n\\endhead", "", "", ""),
linebetweenrows=None,
linebelow=Line("\\hline\n\\end{longtable}", "", "", ""),
headerrow=_latex_row,
datarow=_latex_row,
padding=1,
with_header_hide=None,
),
"tsv": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("", "\t", ""),
datarow=DataRow("", "\t", ""),
padding=0,
with_header_hide=None,
),
"textile": TableFormat(
lineabove=None,
linebelowheader=None,
linebetweenrows=None,
linebelow=None,
headerrow=DataRow("|_. ", "|_.", "|"),
datarow=_textile_row_with_attrs,
padding=1,
with_header_hide=None,
),
"asciidoc": TableFormat(
lineabove=partial(_asciidoc_row, False),
linebelowheader=None,
linebetweenrows=None,
linebelow=Line("|====", "", "", ""),
headerrow=partial(_asciidoc_row, True),
datarow=partial(_asciidoc_row, False),
padding=1,
with_header_hide=["lineabove"],
),
}
tabulate_formats = list(sorted(_table_formats.keys()))
# The table formats for which multiline cells will be folded into subsequent
# table rows. The key is the original format specified at the API. The value is
# the format that will be used to represent the original format.
multiline_formats = {
"plain": "plain",
"simple": "simple",
"grid": "grid",
"simple_grid": "simple_grid",
"rounded_grid": "rounded_grid",
"heavy_grid": "heavy_grid",
"mixed_grid": "mixed_grid",
"double_grid": "double_grid",
"fancy_grid": "fancy_grid",
"pipe": "pipe",
"orgtbl": "orgtbl",
"jira": "jira",
"presto": "presto",
"pretty": "pretty",
"psql": "psql",
"rst": "rst",
}
# TODO: Add multiline support for the remaining table formats:
# - mediawiki: Replace \n with
# - moinmoin: TBD
# - youtrack: TBD
# - html: Replace \n with
# - latex*: Use "makecell" package: In header, replace X\nY with
# \thead{X\\Y} and in data row, replace X\nY with \makecell{X\\Y}
# - tsv: TBD
# - textile: Replace \n with
(must be well-formed XML)
_multiline_codes = re.compile(r"\r|\n|\r\n")
_multiline_codes_bytes = re.compile(b"\r|\n|\r\n")
# Handle ANSI escape sequences for both control sequence introducer (CSI) and
# operating system command (OSC). Both of these begin with 0x1b (or octal 033),
# which will be shown below as ESC.
#
# CSI ANSI escape codes have the following format, defined in section 5.4 of ECMA-48:
#
# CSI: ESC followed by the '[' character (0x5b)
# Parameter Bytes: 0..n bytes in the range 0x30-0x3f
# Intermediate Bytes: 0..n bytes in the range 0x20-0x2f
# Final Byte: a single byte in the range 0x40-0x7e
#
# Also include the terminal hyperlink sequences as described here:
# https://gist.github.com/egmontkob/eb114294efbcd5adb1944c9f3cb5feda
#
# OSC 8 ; params ; uri ST display_text OSC 8 ;; ST
#
# Example: \x1b]8;;https://example.com\x5ctext to show\x1b]8;;\x5c
#
# Where:
# OSC: ESC followed by the ']' character (0x5d)
# params: 0..n optional key value pairs separated by ':' (e.g. foo=bar:baz=qux:abc=123)
# URI: the actual URI with protocol scheme (e.g. https://, file://, ftp://)
# ST: ESC followed by the '\' character (0x5c)
_esc = r"\x1b"
_csi = rf"{_esc}\["
_osc = rf"{_esc}\]"
_st = rf"{_esc}\\"
_ansi_escape_pat = rf"""
(
# terminal colors, etc
{_csi} # CSI
[\x30-\x3f]* # parameter bytes
[\x20-\x2f]* # intermediate bytes
[\x40-\x7e] # final byte
|
# terminal hyperlinks
{_osc}8; # OSC opening
(\w+=\w+:?)* # key=value params list (submatch 2)
; # delimiter
([^{_esc}]+) # URI - anything but ESC (submatch 3)
{_st} # ST
([^{_esc}]+) # link text - anything but ESC (submatch 4)
{_osc}8;;{_st} # "closing" OSC sequence
)
"""
_ansi_codes = re.compile(_ansi_escape_pat, re.VERBOSE)
_ansi_codes_bytes = re.compile(_ansi_escape_pat.encode("utf8"), re.VERBOSE)
_ansi_color_reset_code = "\033[0m"
_float_with_thousands_separators = re.compile(
r"^(([+-]?[0-9]{1,3})(?:,([0-9]{3}))*)?(?(1)\.[0-9]*|\.[0-9]+)?$"
)
def simple_separated_format(separator):
"""Construct a simple TableFormat with columns separated by a separator.
>>> tsv = simple_separated_format("\\t") ; \
tabulate([["foo", 1], ["spam", 23]], tablefmt=tsv) == 'foo \\t 1\\nspam\\t23'
True
"""
return TableFormat(
None,
None,
None,
None,
headerrow=DataRow("", separator, ""),
datarow=DataRow("", separator, ""),
padding=0,
with_header_hide=None,
)
def _isnumber_with_thousands_separator(string):
"""
>>> _isnumber_with_thousands_separator(".")
False
>>> _isnumber_with_thousands_separator("1")
True
>>> _isnumber_with_thousands_separator("1.")
True
>>> _isnumber_with_thousands_separator(".1")
True
>>> _isnumber_with_thousands_separator("1000")
False
>>> _isnumber_with_thousands_separator("1,000")
True
>>> _isnumber_with_thousands_separator("1,0000")
False
>>> _isnumber_with_thousands_separator("1,000.1234")
True
>>> _isnumber_with_thousands_separator(b"1,000.1234")
True
>>> _isnumber_with_thousands_separator("+1,000.1234")
True
>>> _isnumber_with_thousands_separator("-1,000.1234")
True
"""
try:
string = string.decode()
except (UnicodeDecodeError, AttributeError):
pass
return bool(re.match(_float_with_thousands_separators, string))
def _isconvertible(conv, string):
try:
conv(string)
return True
except (ValueError, TypeError):
return False
def _isnumber(string):
"""
>>> _isnumber("123.45")
True
>>> _isnumber("123")
True
>>> _isnumber("spam")
False
>>> _isnumber("123e45678")
False
>>> _isnumber("inf")
True
"""
if not _isconvertible(float, string):
return False
elif isinstance(string, (str, bytes)) and (
math.isinf(float(string)) or math.isnan(float(string))
):
return string.lower() in ["inf", "-inf", "nan"]
return True
def _isint(string, inttype=int):
"""
>>> _isint("123")
True
>>> _isint("123.45")
False
"""
return (
type(string) is inttype
or isinstance(string, (bytes, str))
and _isconvertible(inttype, string)
)
def _isbool(string):
"""
>>> _isbool(True)
True
>>> _isbool("False")
True
>>> _isbool(1)
False
"""
return type(string) is bool or (
isinstance(string, (bytes, str)) and string in ("True", "False")
)
def _type(string, has_invisible=True, numparse=True):
"""The least generic type (type(None), int, float, str, unicode).
>>> _type(None) is type(None)
True
>>> _type("foo") is type("")
True
>>> _type("1") is type(1)
True
>>> _type('\x1b[31m42\x1b[0m') is type(42)
True
>>> _type('\x1b[31m42\x1b[0m') is type(42)
True
"""
if has_invisible and isinstance(string, (str, bytes)):
string = _strip_ansi(string)
if string is None:
return type(None)
elif hasattr(string, "isoformat"): # datetime.datetime, date, and time
return str
elif _isbool(string):
return bool
elif _isint(string) and numparse:
return int
elif _isnumber(string) and numparse:
return float
elif isinstance(string, bytes):
return bytes
else:
return str
def _afterpoint(string):
"""Symbols after a decimal point, -1 if the string lacks the decimal point.
>>> _afterpoint("123.45")
2
>>> _afterpoint("1001")
-1
>>> _afterpoint("eggs")
-1
>>> _afterpoint("123e45")
2
>>> _afterpoint("123,456.78")
2
"""
if _isnumber(string) or _isnumber_with_thousands_separator(string):
if _isint(string):
return -1
else:
pos = string.rfind(".")
pos = string.lower().rfind("e") if pos < 0 else pos
if pos >= 0:
return len(string) - pos - 1
else:
return -1 # no point
else:
return -1 # not a number
def _padleft(width, s):
"""Flush right.
>>> _padleft(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430'
True
"""
fmt = "{0:>%ds}" % width
return fmt.format(s)
def _padright(width, s):
"""Flush left.
>>> _padright(6, '\u044f\u0439\u0446\u0430') == '\u044f\u0439\u0446\u0430 '
True
"""
fmt = "{0:<%ds}" % width
return fmt.format(s)
def _padboth(width, s):
"""Center string.
>>> _padboth(6, '\u044f\u0439\u0446\u0430') == ' \u044f\u0439\u0446\u0430 '
True
"""
fmt = "{0:^%ds}" % width
return fmt.format(s)
def _padnone(ignore_width, s):
return s
def _strip_ansi(s):
r"""Remove ANSI escape sequences, both CSI (color codes, etc) and OSC hyperlinks.
CSI sequences are simply removed from the output, while OSC hyperlinks are replaced
with the link text. Note: it may be desirable to show the URI instead but this is not
supported.
>>> repr(_strip_ansi('\x1B]8;;https://example.com\x1B\\This is a link\x1B]8;;\x1B\\'))
"'This is a link'"
>>> repr(_strip_ansi('\x1b[31mred\x1b[0m text'))
"'red text'"
"""
if isinstance(s, str):
return _ansi_codes.sub(r"\4", s)
else: # a bytestring
return _ansi_codes_bytes.sub(r"\4", s)
def _visible_width(s):
"""Visible width of a printed string. ANSI color codes are removed.
>>> _visible_width('\x1b[31mhello\x1b[0m'), _visible_width("world")
(5, 5)
"""
# optional wide-character support
if wcwidth is not None and WIDE_CHARS_MODE:
len_fn = wcwidth.wcswidth
else:
len_fn = len
if isinstance(s, (str, bytes)):
return len_fn(_strip_ansi(s))
else:
return len_fn(str(s))
def _is_multiline(s):
if isinstance(s, str):
return bool(re.search(_multiline_codes, s))
else: # a bytestring
return bool(re.search(_multiline_codes_bytes, s))
def _multiline_width(multiline_s, line_width_fn=len):
"""Visible width of a potentially multiline content."""
return max(map(line_width_fn, re.split("[\r\n]", multiline_s)))
def _choose_width_fn(has_invisible, enable_widechars, is_multiline):
"""Return a function to calculate visible cell width."""
if has_invisible:
line_width_fn = _visible_width
elif enable_widechars: # optional wide-character support if available
line_width_fn = wcwidth.wcswidth
else:
line_width_fn = len
if is_multiline:
width_fn = lambda s: _multiline_width(s, line_width_fn) # noqa
else:
width_fn = line_width_fn
return width_fn
def _align_column_choose_padfn(strings, alignment, has_invisible):
if alignment == "right":
if not PRESERVE_WHITESPACE:
strings = [s.strip() for s in strings]
padfn = _padleft
elif alignment == "center":
if not PRESERVE_WHITESPACE:
strings = [s.strip() for s in strings]
padfn = _padboth
elif alignment == "decimal":
if has_invisible:
decimals = [_afterpoint(_strip_ansi(s)) for s in strings]
else:
decimals = [_afterpoint(s) for s in strings]
maxdecimals = max(decimals)
strings = [s + (maxdecimals - decs) * " " for s, decs in zip(strings, decimals)]
padfn = _padleft
elif not alignment:
padfn = _padnone
else:
if not PRESERVE_WHITESPACE:
strings = [s.strip() for s in strings]
padfn = _padright
return strings, padfn
def _align_column_choose_width_fn(has_invisible, enable_widechars, is_multiline):
if has_invisible:
line_width_fn = _visible_width
elif enable_widechars: # optional wide-character support if available
line_width_fn = wcwidth.wcswidth
else:
line_width_fn = len
if is_multiline:
width_fn = lambda s: _align_column_multiline_width(s, line_width_fn) # noqa
else:
width_fn = line_width_fn
return width_fn
def _align_column_multiline_width(multiline_s, line_width_fn=len):
"""Visible width of a potentially multiline content."""
return list(map(line_width_fn, re.split("[\r\n]", multiline_s)))
def _flat_list(nested_list):
ret = []
for item in nested_list:
if isinstance(item, list):
for subitem in item:
ret.append(subitem)
else:
ret.append(item)
return ret
def _align_column(
strings,
alignment,
minwidth=0,
has_invisible=True,
enable_widechars=False,
is_multiline=False,
):
"""[string] -> [padded_string]"""
strings, padfn = _align_column_choose_padfn(strings, alignment, has_invisible)
width_fn = _align_column_choose_width_fn(
has_invisible, enable_widechars, is_multiline
)
s_widths = list(map(width_fn, strings))
maxwidth = max(max(_flat_list(s_widths)), minwidth)
# TODO: refactor column alignment in single-line and multiline modes
if is_multiline:
if not enable_widechars and not has_invisible:
padded_strings = [
"\n".join([padfn(maxwidth, s) for s in ms.splitlines()])
for ms in strings
]
else:
# enable wide-character width corrections
s_lens = [[len(s) for s in re.split("[\r\n]", ms)] for ms in strings]
visible_widths = [
[maxwidth - (w - l) for w, l in zip(mw, ml)]
for mw, ml in zip(s_widths, s_lens)
]
# wcswidth and _visible_width don't count invisible characters;
# padfn doesn't need to apply another correction
padded_strings = [
"\n".join([padfn(w, s) for s, w in zip((ms.splitlines() or ms), mw)])
for ms, mw in zip(strings, visible_widths)
]
else: # single-line cell values
if not enable_widechars and not has_invisible:
padded_strings = [padfn(maxwidth, s) for s in strings]
else:
# enable wide-character width corrections
s_lens = list(map(len, strings))
visible_widths = [maxwidth - (w - l) for w, l in zip(s_widths, s_lens)]
# wcswidth and _visible_width don't count invisible characters;
# padfn doesn't need to apply another correction
padded_strings = [padfn(w, s) for s, w in zip(strings, visible_widths)]
return padded_strings
def _more_generic(type1, type2):
types = {
type(None): 0,
bool: 1,
int: 2,
float: 3,
bytes: 4,
str: 5,
}
invtypes = {
5: str,
4: bytes,
3: float,
2: int,
1: bool,
0: type(None),
}
moregeneric = max(types.get(type1, 5), types.get(type2, 5))
return invtypes[moregeneric]
def _column_type(strings, has_invisible=True, numparse=True):
"""The least generic type all column values are convertible to.
>>> _column_type([True, False]) is bool
True
>>> _column_type(["1", "2"]) is int
True
>>> _column_type(["1", "2.3"]) is float
True
>>> _column_type(["1", "2.3", "four"]) is str
True
>>> _column_type(["four", '\u043f\u044f\u0442\u044c']) is str
True
>>> _column_type([None, "brux"]) is str
True
>>> _column_type([1, 2, None]) is int
True
>>> import datetime as dt
>>> _column_type([dt.datetime(1991,2,19), dt.time(17,35)]) is str
True
"""
types = [_type(s, has_invisible, numparse) for s in strings]
return reduce(_more_generic, types, bool)
def _format(val, valtype, floatfmt, intfmt, missingval="", has_invisible=True):
"""Format a value according to its type.
Unicode is supported:
>>> hrow = ['\u0431\u0443\u043a\u0432\u0430', '\u0446\u0438\u0444\u0440\u0430'] ; \
tbl = [['\u0430\u0437', 2], ['\u0431\u0443\u043a\u0438', 4]] ; \
good_result = '\\u0431\\u0443\\u043a\\u0432\\u0430 \\u0446\\u0438\\u0444\\u0440\\u0430\\n------- -------\\n\\u0430\\u0437 2\\n\\u0431\\u0443\\u043a\\u0438 4' ; \
tabulate(tbl, headers=hrow) == good_result
True
""" # noqa
if val is None:
return missingval
if valtype is str:
return f"{val}"
elif valtype is int:
return format(val, intfmt)
elif valtype is bytes:
try:
return str(val, "ascii")
except (TypeError, UnicodeDecodeError):
return str(val)
elif valtype is float:
is_a_colored_number = has_invisible and isinstance(val, (str, bytes))
if is_a_colored_number:
raw_val = _strip_ansi(val)
formatted_val = format(float(raw_val), floatfmt)
return val.replace(raw_val, formatted_val)
else:
return format(float(val), floatfmt)
else:
return f"{val}"
def _align_header(
header, alignment, width, visible_width, is_multiline=False, width_fn=None
):
"Pad string header to width chars given known visible_width of the header."
if is_multiline:
header_lines = re.split(_multiline_codes, header)
padded_lines = [
_align_header(h, alignment, width, width_fn(h)) for h in header_lines
]
return "\n".join(padded_lines)
# else: not multiline
ninvisible = len(header) - visible_width
width += ninvisible
if alignment == "left":
return _padright(width, header)
elif alignment == "center":
return _padboth(width, header)
elif not alignment:
return f"{header}"
else:
return _padleft(width, header)
def _remove_separating_lines(rows):
if type(rows) == list:
separating_lines = []
sans_rows = []
for index, row in enumerate(rows):
if _is_separating_line(row):
separating_lines.append(index)
else:
sans_rows.append(row)
return sans_rows, separating_lines
else:
return rows, None
def _reinsert_separating_lines(rows, separating_lines):
if separating_lines:
for index in separating_lines:
rows.insert(index, SEPARATING_LINE)
def _prepend_row_index(rows, index):
"""Add a left-most index column."""
if index is None or index is False:
return rows
if isinstance(index, Sized) and len(index) != len(rows):
raise ValueError(
"index must be as long as the number of data rows: "
+ "len(index)={} len(rows)={}".format(len(index), len(rows))
)
sans_rows, separating_lines = _remove_separating_lines(rows)
new_rows = []
index_iter = iter(index)
for row in sans_rows:
index_v = next(index_iter)
new_rows.append([index_v] + list(row))
rows = new_rows
_reinsert_separating_lines(rows, separating_lines)
return rows
def _bool(val):
"A wrapper around standard bool() which doesn't throw on NumPy arrays"
try:
return bool(val)
except ValueError: # val is likely to be a numpy array with many elements
return False
def _normalize_tabular_data(tabular_data, headers, showindex="default"):
"""Transform a supported data type to a list of lists, and a list of headers.
Supported tabular data types:
* list-of-lists or another iterable of iterables
* list of named tuples (usually used with headers="keys")
* list of dicts (usually used with headers="keys")
* list of OrderedDicts (usually used with headers="keys")
* list of dataclasses (Python 3.7+ only, usually used with headers="keys")
* 2D NumPy arrays
* NumPy record arrays (usually used with headers="keys")
* dict of iterables (usually used with headers="keys")
* pandas.DataFrame (usually used with headers="keys")
The first row can be used as headers if headers="firstrow",
column indices can be used as headers if headers="keys".
If showindex="default", show row indices of the pandas.DataFrame.
If showindex="always", show row indices for all types of data.
If showindex="never", don't show row indices for all types of data.
If showindex is an iterable, show its values as row indices.
"""
try:
bool(headers)
is_headers2bool_broken = False # noqa
except ValueError: # numpy.ndarray, pandas.core.index.Index, ...
is_headers2bool_broken = True # noqa
headers = list(headers)
index = None
if hasattr(tabular_data, "keys") and hasattr(tabular_data, "values"):
# dict-like and pandas.DataFrame?
if hasattr(tabular_data.values, "__call__"):
# likely a conventional dict
keys = tabular_data.keys()
rows = list(
izip_longest(*tabular_data.values())
) # columns have to be transposed
elif hasattr(tabular_data, "index"):
# values is a property, has .index => it's likely a pandas.DataFrame (pandas 0.11.0)
keys = list(tabular_data)
if (
showindex in ["default", "always", True]
and tabular_data.index.name is not None
):
if isinstance(tabular_data.index.name, list):
keys[:0] = tabular_data.index.name
else:
keys[:0] = [tabular_data.index.name]
vals = tabular_data.values # values matrix doesn't need to be transposed
# for DataFrames add an index per default
index = list(tabular_data.index)
rows = [list(row) for row in vals]
else:
raise ValueError("tabular data doesn't appear to be a dict or a DataFrame")
if headers == "keys":
headers = list(map(str, keys)) # headers should be strings
else: # it's a usual iterable of iterables, or a NumPy array, or an iterable of dataclasses
rows = list(tabular_data)
if headers == "keys" and not rows:
# an empty table (issue #81)
headers = []
elif (
headers == "keys"
and hasattr(tabular_data, "dtype")
and getattr(tabular_data.dtype, "names")
):
# numpy record array
headers = tabular_data.dtype.names
elif (
headers == "keys"
and len(rows) > 0
and isinstance(rows[0], tuple)
and hasattr(rows[0], "_fields")
):
# namedtuple
headers = list(map(str, rows[0]._fields))
elif len(rows) > 0 and hasattr(rows[0], "keys") and hasattr(rows[0], "values"):
# dict-like object
uniq_keys = set() # implements hashed lookup
keys = [] # storage for set
if headers == "firstrow":
firstdict = rows[0] if len(rows) > 0 else {}
keys.extend(firstdict.keys())
uniq_keys.update(keys)
rows = rows[1:]
for row in rows:
for k in row.keys():
# Save unique items in input order
if k not in uniq_keys:
keys.append(k)
uniq_keys.add(k)
if headers == "keys":
headers = keys
elif isinstance(headers, dict):
# a dict of headers for a list of dicts
headers = [headers.get(k, k) for k in keys]
headers = list(map(str, headers))
elif headers == "firstrow":
if len(rows) > 0:
headers = [firstdict.get(k, k) for k in keys]
headers = list(map(str, headers))
else:
headers = []
elif headers:
raise ValueError(
"headers for a list of dicts is not a dict or a keyword"
)
rows = [[row.get(k) for k in keys] for row in rows]
elif (
headers == "keys"
and hasattr(tabular_data, "description")
and hasattr(tabular_data, "fetchone")
and hasattr(tabular_data, "rowcount")
):
# Python Database API cursor object (PEP 0249)
# print tabulate(cursor, headers='keys')
headers = [column[0] for column in tabular_data.description]
elif (
dataclasses is not None
and len(rows) > 0
and dataclasses.is_dataclass(rows[0])
):
# Python 3.7+'s dataclass
field_names = [field.name for field in dataclasses.fields(rows[0])]
if headers == "keys":
headers = field_names
rows = [[getattr(row, f) for f in field_names] for row in rows]
elif headers == "keys" and len(rows) > 0:
# keys are column indices
headers = list(map(str, range(len(rows[0]))))
# take headers from the first row if necessary
if headers == "firstrow" and len(rows) > 0:
if index is not None:
headers = [index[0]] + list(rows[0])
index = index[1:]
else:
headers = rows[0]
headers = list(map(str, headers)) # headers should be strings
rows = rows[1:]
elif headers == "firstrow":
headers = []
headers = list(map(str, headers))
# rows = list(map(list, rows))
rows = list(map(lambda r: r if _is_separating_line(r) else list(r), rows))
# add or remove an index column
showindex_is_a_str = type(showindex) in [str, bytes]
if showindex == "default" and index is not None:
rows = _prepend_row_index(rows, index)
elif isinstance(showindex, Sized) and not showindex_is_a_str:
rows = _prepend_row_index(rows, list(showindex))
elif isinstance(showindex, Iterable) and not showindex_is_a_str:
rows = _prepend_row_index(rows, showindex)
elif showindex == "always" or (_bool(showindex) and not showindex_is_a_str):
if index is None:
index = list(range(len(rows)))
rows = _prepend_row_index(rows, index)
elif showindex == "never" or (not _bool(showindex) and not showindex_is_a_str):
pass
# pad with empty headers for initial columns if necessary
if headers and len(rows) > 0:
nhs = len(headers)
ncols = len(rows[0])
if nhs < ncols:
headers = [""] * (ncols - nhs) + headers
return rows, headers
def _wrap_text_to_colwidths(list_of_lists, colwidths, numparses=True):
numparses = _expand_iterable(numparses, len(list_of_lists[0]), True)
result = []
for row in list_of_lists:
new_row = []
for cell, width, numparse in zip(row, colwidths, numparses):
if _isnumber(cell) and numparse:
new_row.append(cell)
continue
if width is not None:
wrapper = _CustomTextWrap(width=width)
# Cast based on our internal type handling
# Any future custom formatting of types (such as datetimes)
# may need to be more explicit than just `str` of the object
casted_cell = (
str(cell) if _isnumber(cell) else _type(cell, numparse)(cell)
)
wrapped = wrapper.wrap(casted_cell)
new_row.append("\n".join(wrapped))
else:
new_row.append(cell)
result.append(new_row)
return result
def _to_str(s, encoding="utf8", errors="ignore"):
"""
A type safe wrapper for converting a bytestring to str. This is essentially just
a wrapper around .decode() intended for use with things like map(), but with some
specific behavior:
1. if the given parameter is not a bytestring, it is returned unmodified
2. decode() is called for the given parameter and assumes utf8 encoding, but the
default error behavior is changed from 'strict' to 'ignore'
>>> repr(_to_str(b'foo'))
"'foo'"
>>> repr(_to_str('foo'))
"'foo'"
>>> repr(_to_str(42))
"'42'"
"""
if isinstance(s, bytes):
return s.decode(encoding=encoding, errors=errors)
return str(s)
def tabulate(
tabular_data,
headers=(),
tablefmt="simple",
floatfmt=_DEFAULT_FLOATFMT,
intfmt=_DEFAULT_INTFMT,
numalign=_DEFAULT_ALIGN,
stralign=_DEFAULT_ALIGN,
missingval=_DEFAULT_MISSINGVAL,
showindex="default",
disable_numparse=False,
colalign=None,
maxcolwidths=None,
rowalign=None,
maxheadercolwidths=None,
):
"""Format a fixed width table for pretty printing.
>>> print(tabulate([[1, 2.34], [-56, "8.999"], ["2", "10001"]]))
--- ---------
1 2.34
-56 8.999
2 10001
--- ---------
The first required argument (`tabular_data`) can be a
list-of-lists (or another iterable of iterables), a list of named
tuples, a dictionary of iterables, an iterable of dictionaries,
an iterable of dataclasses (Python 3.7+), a two-dimensional NumPy array,
NumPy record array, or a Pandas' dataframe.
Table headers
-------------
To print nice column headers, supply the second argument (`headers`):
- `headers` can be an explicit list of column headers
- if `headers="firstrow"`, then the first row of data is used
- if `headers="keys"`, then dictionary keys or column indices are used
Otherwise a headerless table is produced.
If the number of headers is less than the number of columns, they
are supposed to be names of the last columns. This is consistent
with the plain-text format of R and Pandas' dataframes.
>>> print(tabulate([["sex","age"],["Alice","F",24],["Bob","M",19]],
... headers="firstrow"))
sex age
----- ----- -----
Alice F 24
Bob M 19
By default, pandas.DataFrame data have an additional column called
row index. To add a similar column to all other types of data,
use `showindex="always"` or `showindex=True`. To suppress row indices
for all types of data, pass `showindex="never" or `showindex=False`.
To add a custom row index column, pass `showindex=some_iterable`.
>>> print(tabulate([["F",24],["M",19]], showindex="always"))
- - --
0 F 24
1 M 19
- - --
Column alignment
----------------
`tabulate` tries to detect column types automatically, and aligns
the values properly. By default it aligns decimal points of the
numbers (or flushes integer numbers to the right), and flushes
everything else to the left. Possible column alignments
(`numalign`, `stralign`) are: "right", "center", "left", "decimal"
(only for `numalign`), and None (to disable alignment).
Table formats
-------------
`intfmt` is a format specification used for columns which
contain numeric data without a decimal point. This can also be
a list or tuple of format strings, one per column.
`floatfmt` is a format specification used for columns which
contain numeric data with a decimal point. This can also be
a list or tuple of format strings, one per column.
`None` values are replaced with a `missingval` string (like
`floatfmt`, this can also be a list of values for different
columns):
>>> print(tabulate([["spam", 1, None],
... ["eggs", 42, 3.14],
... ["other", None, 2.7]], missingval="?"))
----- -- ----
spam 1 ?
eggs 42 3.14
other ? 2.7
----- -- ----
Various plain-text table formats (`tablefmt`) are supported:
'plain', 'simple', 'grid', 'pipe', 'orgtbl', 'rst', 'mediawiki',
'latex', 'latex_raw', 'latex_booktabs', 'latex_longtable' and tsv.
Variable `tabulate_formats`contains the list of currently supported formats.
"plain" format doesn't use any pseudographics to draw tables,
it separates columns with a double space:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "plain"))
strings numbers
spam 41.9999
eggs 451
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="plain"))
spam 41.9999
eggs 451
"simple" format is like Pandoc simple_tables:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "simple"))
strings numbers
--------- ---------
spam 41.9999
eggs 451
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="simple"))
---- --------
spam 41.9999
eggs 451
---- --------
"grid" is similar to tables produced by Emacs table.el package or
Pandoc grid_tables:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "grid"))
+-----------+-----------+
| strings | numbers |
+===========+===========+
| spam | 41.9999 |
+-----------+-----------+
| eggs | 451 |
+-----------+-----------+
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="grid"))
+------+----------+
| spam | 41.9999 |
+------+----------+
| eggs | 451 |
+------+----------+
"simple_grid" draws a grid using single-line box-drawing
characters:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "simple_grid"))
┌───────────┬───────────┐
│ strings │ numbers │
├───────────┼───────────┤
│ spam │ 41.9999 │
├───────────┼───────────┤
│ eggs │ 451 │
└───────────┴───────────┘
"rounded_grid" draws a grid using single-line box-drawing
characters with rounded corners:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "rounded_grid"))
╭───────────┬───────────╮
│ strings │ numbers │
├───────────┼───────────┤
│ spam │ 41.9999 │
├───────────┼───────────┤
│ eggs │ 451 │
╰───────────┴───────────╯
"heavy_grid" draws a grid using bold (thick) single-line box-drawing
characters:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "heavy_grid"))
┏━━━━━━━━━━━┳━━━━━━━━━━━┓
┃ strings ┃ numbers ┃
┣━━━━━━━━━━━╋━━━━━━━━━━━┫
┃ spam ┃ 41.9999 ┃
┣━━━━━━━━━━━╋━━━━━━━━━━━┫
┃ eggs ┃ 451 ┃
┗━━━━━━━━━━━┻━━━━━━━━━━━┛
"mixed_grid" draws a grid using a mix of light (thin) and heavy (thick) lines
box-drawing characters:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "mixed_grid"))
┍━━━━━━━━━━━┯━━━━━━━━━━━┑
│ strings │ numbers │
┝━━━━━━━━━━━┿━━━━━━━━━━━┥
│ spam │ 41.9999 │
├───────────┼───────────┤
│ eggs │ 451 │
┕━━━━━━━━━━━┷━━━━━━━━━━━┙
"double_grid" draws a grid using double-line box-drawing
characters:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "double_grid"))
╔═══════════╦═══════════╗
║ strings ║ numbers ║
╠═══════════╬═══════════╣
║ spam ║ 41.9999 ║
╠═══════════╬═══════════╣
║ eggs ║ 451 ║
╚═══════════╩═══════════╝
"fancy_grid" draws a grid using a mix of single and
double-line box-drawing characters:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "fancy_grid"))
╒═══════════╤═══════════╕
│ strings │ numbers │
╞═══════════╪═══════════╡
│ spam │ 41.9999 │
├───────────┼───────────┤
│ eggs │ 451 │
╘═══════════╧═══════════╛
"outline" is the same as the "grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "outline"))
+-----------+-----------+
| strings | numbers |
+===========+===========+
| spam | 41.9999 |
| eggs | 451 |
+-----------+-----------+
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="outline"))
+------+----------+
| spam | 41.9999 |
| eggs | 451 |
+------+----------+
"simple_outline" is the same as the "simple_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "simple_outline"))
┌───────────┬───────────┐
│ strings │ numbers │
├───────────┼───────────┤
│ spam │ 41.9999 │
│ eggs │ 451 │
└───────────┴───────────┘
"rounded_outline" is the same as the "rounded_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "rounded_outline"))
╭───────────┬───────────╮
│ strings │ numbers │
├───────────┼───────────┤
│ spam │ 41.9999 │
│ eggs │ 451 │
╰───────────┴───────────╯
"heavy_outline" is the same as the "heavy_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "heavy_outline"))
┏━━━━━━━━━━━┳━━━━━━━━━━━┓
┃ strings ┃ numbers ┃
┣━━━━━━━━━━━╋━━━━━━━━━━━┫
┃ spam ┃ 41.9999 ┃
┃ eggs ┃ 451 ┃
┗━━━━━━━━━━━┻━━━━━━━━━━━┛
"mixed_outline" is the same as the "mixed_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "mixed_outline"))
┍━━━━━━━━━━━┯━━━━━━━━━━━┑
│ strings │ numbers │
┝━━━━━━━━━━━┿━━━━━━━━━━━┥
│ spam │ 41.9999 │
│ eggs │ 451 │
┕━━━━━━━━━━━┷━━━━━━━━━━━┙
"double_outline" is the same as the "double_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "double_outline"))
╔═══════════╦═══════════╗
║ strings ║ numbers ║
╠═══════════╬═══════════╣
║ spam ║ 41.9999 ║
║ eggs ║ 451 ║
╚═══════════╩═══════════╝
"fancy_outline" is the same as the "fancy_grid" format but doesn't draw lines between rows:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "fancy_outline"))
╒═══════════╤═══════════╕
│ strings │ numbers │
╞═══════════╪═══════════╡
│ spam │ 41.9999 │
│ eggs │ 451 │
╘═══════════╧═══════════╛
"pipe" is like tables in PHP Markdown Extra extension or Pandoc
pipe_tables:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "pipe"))
| strings | numbers |
|:----------|----------:|
| spam | 41.9999 |
| eggs | 451 |
"presto" is like tables produce by the Presto CLI:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "presto"))
strings | numbers
-----------+-----------
spam | 41.9999
eggs | 451
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="pipe"))
|:-----|---------:|
| spam | 41.9999 |
| eggs | 451 |
"orgtbl" is like tables in Emacs org-mode and orgtbl-mode. They
are slightly different from "pipe" format by not using colons to
define column alignment, and using a "+" sign to indicate line
intersections:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "orgtbl"))
| strings | numbers |
|-----------+-----------|
| spam | 41.9999 |
| eggs | 451 |
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="orgtbl"))
| spam | 41.9999 |
| eggs | 451 |
"rst" is like a simple table format from reStructuredText; please
note that reStructuredText accepts also "grid" tables:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
... ["strings", "numbers"], "rst"))
========= =========
strings numbers
========= =========
spam 41.9999
eggs 451
========= =========
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="rst"))
==== ========
spam 41.9999
eggs 451
==== ========
"mediawiki" produces a table markup used in Wikipedia and on other
MediaWiki-based sites:
>>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]],
... headers="firstrow", tablefmt="mediawiki"))
{| class="wikitable" style="text-align: left;"
|+
|-
! strings !! align="right"| numbers
|-
| spam || align="right"| 41.9999
|-
| eggs || align="right"| 451
|}
"html" produces HTML markup as an html.escape'd str
with a ._repr_html_ method so that Jupyter Lab and Notebook display the HTML
and a .str property so that the raw HTML remains accessible
the unsafehtml table format can be used if an unescaped HTML format is required:
>>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]],
... headers="firstrow", tablefmt="html"))
| strings | numbers |
|---|
| spam | 41.9999 |
| eggs | 451 |
"latex" produces a tabular environment of LaTeX document markup:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex"))
\\begin{tabular}{lr}
\\hline
spam & 41.9999 \\\\
eggs & 451 \\\\
\\hline
\\end{tabular}
"latex_raw" is similar to "latex", but doesn't escape special characters,
such as backslash and underscore, so LaTeX commands may embedded into
cells' values:
>>> print(tabulate([["spam$_9$", 41.9999], ["\\\\emph{eggs}", "451.0"]], tablefmt="latex_raw"))
\\begin{tabular}{lr}
\\hline
spam$_9$ & 41.9999 \\\\
\\emph{eggs} & 451 \\\\
\\hline
\\end{tabular}
"latex_booktabs" produces a tabular environment of LaTeX document markup
using the booktabs.sty package:
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_booktabs"))
\\begin{tabular}{lr}
\\toprule
spam & 41.9999 \\\\
eggs & 451 \\\\
\\bottomrule
\\end{tabular}
"latex_longtable" produces a tabular environment that can stretch along
multiple pages, using the longtable package for LaTeX.
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]], tablefmt="latex_longtable"))
\\begin{longtable}{lr}
\\hline
spam & 41.9999 \\\\
eggs & 451 \\\\
\\hline
\\end{longtable}
Number parsing
--------------
By default, anything which can be parsed as a number is a number.
This ensures numbers represented as strings are aligned properly.
This can lead to weird results for particular strings such as
specific git SHAs e.g. "42992e1" will be parsed into the number
429920 and aligned as such.
To completely disable number parsing (and alignment), use
`disable_numparse=True`. For more fine grained control, a list column
indices is used to disable number parsing only on those columns
e.g. `disable_numparse=[0, 2]` would disable number parsing only on the
first and third columns.
Column Widths and Auto Line Wrapping
------------------------------------
Tabulate will, by default, set the width of each column to the length of the
longest element in that column. However, in situations where fields are expected
to reasonably be too long to look good as a single line, tabulate can help automate
word wrapping long fields for you. Use the parameter `maxcolwidth` to provide a
list of maximal column widths
>>> print(tabulate( \
[('1', 'John Smith', \
'This is a rather long description that might look better if it is wrapped a bit')], \
headers=("Issue Id", "Author", "Description"), \
maxcolwidths=[None, None, 30], \
tablefmt="grid" \
))
+------------+------------+-------------------------------+
| Issue Id | Author | Description |
+============+============+===============================+
| 1 | John Smith | This is a rather long |
| | | description that might look |
| | | better if it is wrapped a bit |
+------------+------------+-------------------------------+
Header column width can be specified in a similar way using `maxheadercolwidth`
"""
if tabular_data is None:
tabular_data = []
list_of_lists, headers = _normalize_tabular_data(
tabular_data, headers, showindex=showindex
)
list_of_lists, separating_lines = _remove_separating_lines(list_of_lists)
if maxcolwidths is not None:
num_cols = len(list_of_lists[0])
if isinstance(maxcolwidths, int): # Expand scalar for all columns
maxcolwidths = _expand_iterable(maxcolwidths, num_cols, maxcolwidths)
else: # Ignore col width for any 'trailing' columns
maxcolwidths = _expand_iterable(maxcolwidths, num_cols, None)
numparses = _expand_numparse(disable_numparse, num_cols)
list_of_lists = _wrap_text_to_colwidths(
list_of_lists, maxcolwidths, numparses=numparses
)
if maxheadercolwidths is not None:
num_cols = len(list_of_lists[0])
if isinstance(maxheadercolwidths, int): # Expand scalar for all columns
maxheadercolwidths = _expand_iterable(
maxheadercolwidths, num_cols, maxheadercolwidths
)
else: # Ignore col width for any 'trailing' columns
maxheadercolwidths = _expand_iterable(maxheadercolwidths, num_cols, None)
numparses = _expand_numparse(disable_numparse, num_cols)
headers = _wrap_text_to_colwidths(
[headers], maxheadercolwidths, numparses=numparses
)[0]
# empty values in the first column of RST tables should be escaped (issue #82)
# "" should be escaped as "\\ " or ".."
if tablefmt == "rst":
list_of_lists, headers = _rst_escape_first_column(list_of_lists, headers)
# PrettyTable formatting does not use any extra padding.
# Numbers are not parsed and are treated the same as strings for alignment.
# Check if pretty is the format being used and override the defaults so it
# does not impact other formats.
min_padding = MIN_PADDING
if tablefmt == "pretty":
min_padding = 0
disable_numparse = True
numalign = "center" if numalign == _DEFAULT_ALIGN else numalign
stralign = "center" if stralign == _DEFAULT_ALIGN else stralign
else:
numalign = "decimal" if numalign == _DEFAULT_ALIGN else numalign
stralign = "left" if stralign == _DEFAULT_ALIGN else stralign
# optimization: look for ANSI control codes once,
# enable smart width functions only if a control code is found
#
# convert the headers and rows into a single, tab-delimited string ensuring
# that any bytestrings are decoded safely (i.e. errors ignored)
plain_text = "\t".join(
chain(
# headers
map(_to_str, headers),
# rows: chain the rows together into a single iterable after mapping
# the bytestring conversino to each cell value
chain.from_iterable(map(_to_str, row) for row in list_of_lists),
)
)
has_invisible = _ansi_codes.search(plain_text) is not None
enable_widechars = wcwidth is not None and WIDE_CHARS_MODE
if (
not isinstance(tablefmt, TableFormat)
and tablefmt in multiline_formats
and _is_multiline(plain_text)
):
tablefmt = multiline_formats.get(tablefmt, tablefmt)
is_multiline = True
else:
is_multiline = False
width_fn = _choose_width_fn(has_invisible, enable_widechars, is_multiline)
# format rows and columns, convert numeric values to strings
cols = list(izip_longest(*list_of_lists))
numparses = _expand_numparse(disable_numparse, len(cols))
coltypes = [_column_type(col, numparse=np) for col, np in zip(cols, numparses)]
if isinstance(floatfmt, str): # old version
float_formats = len(cols) * [
floatfmt
] # just duplicate the string to use in each column
else: # if floatfmt is list, tuple etc we have one per column
float_formats = list(floatfmt)
if len(float_formats) < len(cols):
float_formats.extend((len(cols) - len(float_formats)) * [_DEFAULT_FLOATFMT])
if isinstance(intfmt, str): # old version
int_formats = len(cols) * [
intfmt
] # just duplicate the string to use in each column
else: # if intfmt is list, tuple etc we have one per column
int_formats = list(intfmt)
if len(int_formats) < len(cols):
int_formats.extend((len(cols) - len(int_formats)) * [_DEFAULT_INTFMT])
if isinstance(missingval, str):
missing_vals = len(cols) * [missingval]
else:
missing_vals = list(missingval)
if len(missing_vals) < len(cols):
missing_vals.extend((len(cols) - len(missing_vals)) * [_DEFAULT_MISSINGVAL])
cols = [
[_format(v, ct, fl_fmt, int_fmt, miss_v, has_invisible) for v in c]
for c, ct, fl_fmt, int_fmt, miss_v in zip(
cols, coltypes, float_formats, int_formats, missing_vals
)
]
# align columns
aligns = [numalign if ct in [int, float] else stralign for ct in coltypes]
if colalign is not None:
assert isinstance(colalign, Iterable)
for idx, align in enumerate(colalign):
aligns[idx] = align
minwidths = (
[width_fn(h) + min_padding for h in headers] if headers else [0] * len(cols)
)
cols = [
_align_column(c, a, minw, has_invisible, enable_widechars, is_multiline)
for c, a, minw in zip(cols, aligns, minwidths)
]
if headers:
# align headers and add headers
t_cols = cols or [[""]] * len(headers)
t_aligns = aligns or [stralign] * len(headers)
minwidths = [
max(minw, max(width_fn(cl) for cl in c))
for minw, c in zip(minwidths, t_cols)
]
headers = [
_align_header(h, a, minw, width_fn(h), is_multiline, width_fn)
for h, a, minw in zip(headers, t_aligns, minwidths)
]
rows = list(zip(*cols))
else:
minwidths = [max(width_fn(cl) for cl in c) for c in cols]
rows = list(zip(*cols))
if not isinstance(tablefmt, TableFormat):
tablefmt = _table_formats.get(tablefmt, _table_formats["simple"])
ra_default = rowalign if isinstance(rowalign, str) else None
rowaligns = _expand_iterable(rowalign, len(rows), ra_default)
_reinsert_separating_lines(rows, separating_lines)
return _format_table(
tablefmt, headers, rows, minwidths, aligns, is_multiline, rowaligns=rowaligns
)
def _expand_numparse(disable_numparse, column_count):
"""
Return a list of bools of length `column_count` which indicates whether
number parsing should be used on each column.
If `disable_numparse` is a list of indices, each of those indices are False,
and everything else is True.
If `disable_numparse` is a bool, then the returned list is all the same.
"""
if isinstance(disable_numparse, Iterable):
numparses = [True] * column_count
for index in disable_numparse:
numparses[index] = False
return numparses
else:
return [not disable_numparse] * column_count
def _expand_iterable(original, num_desired, default):
"""
Expands the `original` argument to return a return a list of
length `num_desired`. If `original` is shorter than `num_desired`, it will
be padded with the value in `default`.
If `original` is not a list to begin with (i.e. scalar value) a list of
length `num_desired` completely populated with `default will be returned
"""
if isinstance(original, Iterable) and not isinstance(original, str):
return original + [default] * (num_desired - len(original))
else:
return [default] * num_desired
def _pad_row(cells, padding):
if cells:
pad = " " * padding
padded_cells = [pad + cell + pad for cell in cells]
return padded_cells
else:
return cells
def _build_simple_row(padded_cells, rowfmt):
"Format row according to DataRow format without padding."
begin, sep, end = rowfmt
return (begin + sep.join(padded_cells) + end).rstrip()
def _build_row(padded_cells, colwidths, colaligns, rowfmt):
"Return a string which represents a row of data cells."
if not rowfmt:
return None
if hasattr(rowfmt, "__call__"):
return rowfmt(padded_cells, colwidths, colaligns)
else:
return _build_simple_row(padded_cells, rowfmt)
def _append_basic_row(lines, padded_cells, colwidths, colaligns, rowfmt, rowalign=None):
# NOTE: rowalign is ignored and exists for api compatibility with _append_multiline_row
lines.append(_build_row(padded_cells, colwidths, colaligns, rowfmt))
return lines
def _align_cell_veritically(text_lines, num_lines, column_width, row_alignment):
delta_lines = num_lines - len(text_lines)
blank = [" " * column_width]
if row_alignment == "bottom":
return blank * delta_lines + text_lines
elif row_alignment == "center":
top_delta = delta_lines // 2
bottom_delta = delta_lines - top_delta
return top_delta * blank + text_lines + bottom_delta * blank
else:
return text_lines + blank * delta_lines
def _append_multiline_row(
lines, padded_multiline_cells, padded_widths, colaligns, rowfmt, pad, rowalign=None
):
colwidths = [w - 2 * pad for w in padded_widths]
cells_lines = [c.splitlines() for c in padded_multiline_cells]
nlines = max(map(len, cells_lines)) # number of lines in the row
# vertically pad cells where some lines are missing
# cells_lines = [
# (cl + [" " * w] * (nlines - len(cl))) for cl, w in zip(cells_lines, colwidths)
# ]
cells_lines = [
_align_cell_veritically(cl, nlines, w, rowalign)
for cl, w in zip(cells_lines, colwidths)
]
lines_cells = [[cl[i] for cl in cells_lines] for i in range(nlines)]
for ln in lines_cells:
padded_ln = _pad_row(ln, pad)
_append_basic_row(lines, padded_ln, colwidths, colaligns, rowfmt)
return lines
def _build_line(colwidths, colaligns, linefmt):
"Return a string which represents a horizontal line."
if not linefmt:
return None
if hasattr(linefmt, "__call__"):
return linefmt(colwidths, colaligns)
else:
begin, fill, sep, end = linefmt
cells = [fill * w for w in colwidths]
return _build_simple_row(cells, (begin, sep, end))
def _append_line(lines, colwidths, colaligns, linefmt):
lines.append(_build_line(colwidths, colaligns, linefmt))
return lines
class JupyterHTMLStr(str):
"""Wrap the string with a _repr_html_ method so that Jupyter
displays the HTML table"""
def _repr_html_(self):
return self
@property
def str(self):
"""add a .str property so that the raw string is still accessible"""
return self
def _format_table(fmt, headers, rows, colwidths, colaligns, is_multiline, rowaligns):
"""Produce a plain-text representation of the table."""
lines = []
hidden = fmt.with_header_hide if (headers and fmt.with_header_hide) else []
pad = fmt.padding
headerrow = fmt.headerrow
padded_widths = [(w + 2 * pad) for w in colwidths]
if is_multiline:
pad_row = lambda row, _: row # noqa do it later, in _append_multiline_row
append_row = partial(_append_multiline_row, pad=pad)
else:
pad_row = _pad_row
append_row = _append_basic_row
padded_headers = pad_row(headers, pad)
padded_rows = [pad_row(row, pad) for row in rows]
if fmt.lineabove and "lineabove" not in hidden:
_append_line(lines, padded_widths, colaligns, fmt.lineabove)
if padded_headers:
append_row(lines, padded_headers, padded_widths, colaligns, headerrow)
if fmt.linebelowheader and "linebelowheader" not in hidden:
_append_line(lines, padded_widths, colaligns, fmt.linebelowheader)
if padded_rows and fmt.linebetweenrows and "linebetweenrows" not in hidden:
# initial rows with a line below
for row, ralign in zip(padded_rows[:-1], rowaligns):
append_row(
lines, row, padded_widths, colaligns, fmt.datarow, rowalign=ralign
)
_append_line(lines, padded_widths, colaligns, fmt.linebetweenrows)
# the last row without a line below
append_row(
lines,
padded_rows[-1],
padded_widths,
colaligns,
fmt.datarow,
rowalign=rowaligns[-1],
)
else:
separating_line = (
fmt.linebetweenrows
or fmt.linebelowheader
or fmt.linebelow
or fmt.lineabove
or Line("", "", "", "")
)
for row in padded_rows:
# test to see if either the 1st column or the 2nd column (account for showindex) has
# the SEPARATING_LINE flag
if _is_separating_line(row):
_append_line(lines, padded_widths, colaligns, separating_line)
else:
append_row(lines, row, padded_widths, colaligns, fmt.datarow)
if fmt.linebelow and "linebelow" not in hidden:
_append_line(lines, padded_widths, colaligns, fmt.linebelow)
if headers or rows:
output = "\n".join(lines)
if fmt.lineabove == _html_begin_table_without_header:
return JupyterHTMLStr(output)
else:
return output
else: # a completely empty table
return ""
class _CustomTextWrap(textwrap.TextWrapper):
"""A custom implementation of CPython's textwrap.TextWrapper. This supports
both wide characters (Korea, Japanese, Chinese) - including mixed string.
For the most part, the `_handle_long_word` and `_wrap_chunks` functions were
copy pasted out of the CPython baseline, and updated with our custom length
and line appending logic.
"""
def __init__(self, *args, **kwargs):
self._active_codes = []
self.max_lines = None # For python2 compatibility
textwrap.TextWrapper.__init__(self, *args, **kwargs)
@staticmethod
def _len(item):
"""Custom len that gets console column width for wide
and non-wide characters as well as ignores color codes"""
stripped = _strip_ansi(item)
if wcwidth:
return wcwidth.wcswidth(stripped)
else:
return len(stripped)
def _update_lines(self, lines, new_line):
"""Adds a new line to the list of lines the text is being wrapped into
This function will also track any ANSI color codes in this string as well
as add any colors from previous lines order to preserve the same formatting
as a single unwrapped string.
"""
code_matches = [x for x in _ansi_codes.finditer(new_line)]
color_codes = [
code.string[code.span()[0] : code.span()[1]] for code in code_matches
]
# Add color codes from earlier in the unwrapped line, and then track any new ones we add.
new_line = "".join(self._active_codes) + new_line
for code in color_codes:
if code != _ansi_color_reset_code:
self._active_codes.append(code)
else: # A single reset code resets everything
self._active_codes = []
# Always ensure each line is color terminted if any colors are
# still active, otherwise colors will bleed into other cells on the console
if len(self._active_codes) > 0:
new_line = new_line + _ansi_color_reset_code
lines.append(new_line)
def _handle_long_word(self, reversed_chunks, cur_line, cur_len, width):
"""_handle_long_word(chunks : [string],
cur_line : [string],
cur_len : int, width : int)
Handle a chunk of text (most likely a word, not whitespace) that
is too long to fit in any line.
"""
# Figure out when indent is larger than the specified width, and make
# sure at least one character is stripped off on every pass
if width < 1:
space_left = 1
else:
space_left = width - cur_len
# If we're allowed to break long words, then do so: put as much
# of the next chunk onto the current line as will fit.
if self.break_long_words:
# Tabulate Custom: Build the string up piece-by-piece in order to
# take each charcter's width into account
chunk = reversed_chunks[-1]
i = 1
while self._len(chunk[:i]) <= space_left:
i = i + 1
cur_line.append(chunk[: i - 1])
reversed_chunks[-1] = chunk[i - 1 :]
# Otherwise, we have to preserve the long word intact. Only add
# it to the current line if there's nothing already there --
# that minimizes how much we violate the width constraint.
elif not cur_line:
cur_line.append(reversed_chunks.pop())
# If we're not allowed to break long words, and there's already
# text on the current line, do nothing. Next time through the
# main loop of _wrap_chunks(), we'll wind up here again, but
# cur_len will be zero, so the next line will be entirely
# devoted to the long word that we can't handle right now.
def _wrap_chunks(self, chunks):
"""_wrap_chunks(chunks : [string]) -> [string]
Wrap a sequence of text chunks and return a list of lines of
length 'self.width' or less. (If 'break_long_words' is false,
some lines may be longer than this.) Chunks correspond roughly
to words and the whitespace between them: each chunk is
indivisible (modulo 'break_long_words'), but a line break can
come between any two chunks. Chunks should not have internal
whitespace; ie. a chunk is either all whitespace or a "word".
Whitespace chunks will be removed from the beginning and end of
lines, but apart from that whitespace is preserved.
"""
lines = []
if self.width <= 0:
raise ValueError("invalid width %r (must be > 0)" % self.width)
if self.max_lines is not None:
if self.max_lines > 1:
indent = self.subsequent_indent
else:
indent = self.initial_indent
if self._len(indent) + self._len(self.placeholder.lstrip()) > self.width:
raise ValueError("placeholder too large for max width")
# Arrange in reverse order so items can be efficiently popped
# from a stack of chucks.
chunks.reverse()
while chunks:
# Start the list of chunks that will make up the current line.
# cur_len is just the length of all the chunks in cur_line.
cur_line = []
cur_len = 0
# Figure out which static string will prefix this line.
if lines:
indent = self.subsequent_indent
else:
indent = self.initial_indent
# Maximum width for this line.
width = self.width - self._len(indent)
# First chunk on line is whitespace -- drop it, unless this
# is the very beginning of the text (ie. no lines started yet).
if self.drop_whitespace and chunks[-1].strip() == "" and lines:
del chunks[-1]
while chunks:
chunk_len = self._len(chunks[-1])
# Can at least squeeze this chunk onto the current line.
if cur_len + chunk_len <= width:
cur_line.append(chunks.pop())
cur_len += chunk_len
# Nope, this line is full.
else:
break
# The current line is full, and the next chunk is too big to
# fit on *any* line (not just this one).
if chunks and self._len(chunks[-1]) > width:
self._handle_long_word(chunks, cur_line, cur_len, width)
cur_len = sum(map(self._len, cur_line))
# If the last chunk on this line is all whitespace, drop it.
if self.drop_whitespace and cur_line and cur_line[-1].strip() == "":
cur_len -= self._len(cur_line[-1])
del cur_line[-1]
if cur_line:
if (
self.max_lines is None
or len(lines) + 1 < self.max_lines
or (
not chunks
or self.drop_whitespace
and len(chunks) == 1
and not chunks[0].strip()
)
and cur_len <= width
):
# Convert current line back to a string and store it in
# list of all lines (return value).
self._update_lines(lines, indent + "".join(cur_line))
else:
while cur_line:
if (
cur_line[-1].strip()
and cur_len + self._len(self.placeholder) <= width
):
cur_line.append(self.placeholder)
self._update_lines(lines, indent + "".join(cur_line))
break
cur_len -= self._len(cur_line[-1])
del cur_line[-1]
else:
if lines:
prev_line = lines[-1].rstrip()
if (
self._len(prev_line) + self._len(self.placeholder)
<= self.width
):
lines[-1] = prev_line + self.placeholder
break
self._update_lines(lines, indent + self.placeholder.lstrip())
break
return lines
def _main():
"""\
Usage: tabulate [options] [FILE ...]
Pretty-print tabular data.
See also https://github.com/astanin/python-tabulate
FILE a filename of the file with tabular data;
if "-" or missing, read data from stdin.
Options:
-h, --help show this message
-1, --header use the first row of data as a table header
-o FILE, --output FILE print table to FILE (default: stdout)
-s REGEXP, --sep REGEXP use a custom column separator (default: whitespace)
-F FPFMT, --float FPFMT floating point number format (default: g)
-I INTFMT, --int INTFMT integer point number format (default: "")
-f FMT, --format FMT set output table format; supported formats:
plain, simple, grid, fancy_grid, pipe, orgtbl,
rst, mediawiki, html, latex, latex_raw,
latex_booktabs, latex_longtable, tsv
(default: simple)
"""
import getopt
import sys
import textwrap
usage = textwrap.dedent(_main.__doc__)
try:
opts, args = getopt.getopt(
sys.argv[1:],
"h1o:s:F:A:f:",
["help", "header", "output", "sep=", "float=", "int=", "align=", "format="],
)
except getopt.GetoptError as e:
print(e)
print(usage)
sys.exit(2)
headers = []
floatfmt = _DEFAULT_FLOATFMT
intfmt = _DEFAULT_INTFMT
colalign = None
tablefmt = "simple"
sep = r"\s+"
outfile = "-"
for opt, value in opts:
if opt in ["-1", "--header"]:
headers = "firstrow"
elif opt in ["-o", "--output"]:
outfile = value
elif opt in ["-F", "--float"]:
floatfmt = value
elif opt in ["-I", "--int"]:
intfmt = value
elif opt in ["-C", "--colalign"]:
colalign = value.split()
elif opt in ["-f", "--format"]:
if value not in tabulate_formats:
print("%s is not a supported table format" % value)
print(usage)
sys.exit(3)
tablefmt = value
elif opt in ["-s", "--sep"]:
sep = value
elif opt in ["-h", "--help"]:
print(usage)
sys.exit(0)
files = [sys.stdin] if not args else args
with (sys.stdout if outfile == "-" else open(outfile, "w")) as out:
for f in files:
if f == "-":
f = sys.stdin
if _is_file(f):
_pprint_file(
f,
headers=headers,
tablefmt=tablefmt,
sep=sep,
floatfmt=floatfmt,
intfmt=intfmt,
file=out,
colalign=colalign,
)
else:
with open(f) as fobj:
_pprint_file(
fobj,
headers=headers,
tablefmt=tablefmt,
sep=sep,
floatfmt=floatfmt,
intfmt=intfmt,
file=out,
colalign=colalign,
)
def _pprint_file(fobject, headers, tablefmt, sep, floatfmt, intfmt, file, colalign):
rows = fobject.readlines()
table = [re.split(sep, r.rstrip()) for r in rows if r.strip()]
print(
tabulate(
table,
headers,
tablefmt,
floatfmt=floatfmt,
intfmt=intfmt,
colalign=colalign,
),
file=file,
)
if __name__ == "__main__":
_main()