mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-12-01 11:14:15 +01:00
1772 lines
58 KiB
Python
1772 lines
58 KiB
Python
# -*- coding: utf-8 -*-
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"""Pretty-print tabular data."""
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from __future__ import print_function
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from __future__ import unicode_literals
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from collections import namedtuple
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from platform import python_version_tuple
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import re
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import math
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if python_version_tuple() >= ("3", "3", "0"):
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from collections.abc import Iterable
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else:
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from collections import Iterable
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if python_version_tuple()[0] < "3":
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from itertools import izip_longest
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from functools import partial
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_none_type = type(None)
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_bool_type = bool
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_int_type = int
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_long_type = long # noqa
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_float_type = float
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_text_type = unicode # noqa
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_binary_type = str
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def _is_file(f):
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return hasattr(f, "read")
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else:
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from itertools import zip_longest as izip_longest
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from functools import reduce, partial
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_none_type = type(None)
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_bool_type = bool
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_int_type = int
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_long_type = int
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_float_type = float
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_text_type = str
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_binary_type = bytes
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basestring = str
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import io
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def _is_file(f):
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return isinstance(f, io.IOBase)
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try:
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import wcwidth # optional wide-character (CJK) support
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except ImportError:
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wcwidth = None
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try:
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from html import escape as htmlescape
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except ImportError:
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from cgi import escape as htmlescape
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__all__ = ["tabulate", "tabulate_formats", "simple_separated_format"]
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__version__ = "0.8.7"
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# minimum extra space in headers
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MIN_PADDING = 2
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# Whether or not to preserve leading/trailing whitespace in data.
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PRESERVE_WHITESPACE = False
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_DEFAULT_FLOATFMT = "g"
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_DEFAULT_MISSINGVAL = ""
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# if True, enable wide-character (CJK) support
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WIDE_CHARS_MODE = wcwidth is not None
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Line = namedtuple("Line", ["begin", "hline", "sep", "end"])
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DataRow = namedtuple("DataRow", ["begin", "sep", "end"])
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# A table structure is suppposed to be:
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#
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# --- lineabove ---------
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# headerrow
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# --- linebelowheader ---
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# datarow
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# --- linebewteenrows ---
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# ... (more datarows) ...
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# --- linebewteenrows ---
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# last datarow
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# --- linebelow ---------
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#
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# TableFormat's line* elements can be
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#
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# - either None, if the element is not used,
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# - or a Line tuple,
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# - or a function: [col_widths], [col_alignments] -> string.
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#
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# TableFormat's *row elements can be
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#
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# - either None, if the element is not used,
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# - or a DataRow tuple,
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# - or a function: [cell_values], [col_widths], [col_alignments] -> string.
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#
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# padding (an integer) is the amount of white space around data values.
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#
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# with_header_hide:
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#
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# - either None, to display all table elements unconditionally,
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# - or a list of elements not to be displayed if the table has column headers.
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#
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TableFormat = namedtuple(
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"TableFormat",
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[
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"lineabove",
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"linebelowheader",
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"linebetweenrows",
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"linebelow",
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"headerrow",
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"datarow",
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"padding",
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"with_header_hide",
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],
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)
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def _pipe_segment_with_colons(align, colwidth):
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"""Return a segment of a horizontal line with optional colons which
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indicate column's alignment (as in `pipe` output format)."""
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w = colwidth
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if align in ["right", "decimal"]:
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return ("-" * (w - 1)) + ":"
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elif align == "center":
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return ":" + ("-" * (w - 2)) + ":"
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elif align == "left":
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return ":" + ("-" * (w - 1))
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else:
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return "-" * w
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def _pipe_line_with_colons(colwidths, colaligns):
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"""Return a horizontal line with optional colons to indicate column's
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alignment (as in `pipe` output format)."""
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if not colaligns: # e.g. printing an empty data frame (github issue #15)
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colaligns = [""] * len(colwidths)
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segments = [_pipe_segment_with_colons(a, w) for a, w in zip(colaligns, colwidths)]
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return "|" + "|".join(segments) + "|"
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def _mediawiki_row_with_attrs(separator, cell_values, colwidths, colaligns):
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alignment = {
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"left": "",
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"right": 'align="right"| ',
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"center": 'align="center"| ',
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"decimal": 'align="right"| ',
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}
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# hard-coded padding _around_ align attribute and value together
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# rather than padding parameter which affects only the value
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values_with_attrs = [
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" " + alignment.get(a, "") + c + " " for c, a in zip(cell_values, colaligns)
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]
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colsep = separator * 2
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return (separator + colsep.join(values_with_attrs)).rstrip()
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def _textile_row_with_attrs(cell_values, colwidths, colaligns):
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cell_values[0] += " "
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alignment = {"left": "<.", "right": ">.", "center": "=.", "decimal": ">."}
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values = (alignment.get(a, "") + v for a, v in zip(colaligns, cell_values))
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return "|" + "|".join(values) + "|"
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def _html_begin_table_without_header(colwidths_ignore, colaligns_ignore):
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# this table header will be suppressed if there is a header row
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return "<table>\n<tbody>"
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def _html_row_with_attrs(celltag, cell_values, colwidths, colaligns):
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alignment = {
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"left": "",
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"right": ' style="text-align: right;"',
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"center": ' style="text-align: center;"',
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"decimal": ' style="text-align: right;"',
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}
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values_with_attrs = [
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"<{0}{1}>{2}</{0}>".format(celltag, alignment.get(a, ""), htmlescape(c))
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for c, a in zip(cell_values, colaligns)
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]
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rowhtml = "<tr>{}</tr>".format("".join(values_with_attrs).rstrip())
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if celltag == "th": # it's a header row, create a new table header
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rowhtml = "<table>\n<thead>\n{}\n</thead>\n<tbody>".format(rowhtml)
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return rowhtml
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def _moin_row_with_attrs(celltag, cell_values, colwidths, colaligns, header=""):
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alignment = {
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"left": "",
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"right": '<style="text-align: right;">',
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"center": '<style="text-align: center;">',
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"decimal": '<style="text-align: right;">',
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}
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values_with_attrs = [
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"{0}{1} {2} ".format(celltag, alignment.get(a, ""), header + c + header)
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for c, a in zip(cell_values, colaligns)
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]
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return "".join(values_with_attrs) + "||"
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def _latex_line_begin_tabular(colwidths, colaligns, booktabs=False):
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alignment = {"left": "l", "right": "r", "center": "c", "decimal": "r"}
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tabular_columns_fmt = "".join([alignment.get(a, "l") for a in colaligns])
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return "\n".join(
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[
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"\\begin{tabular}{" + tabular_columns_fmt + "}",
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"\\toprule" if booktabs else "\\hline",
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]
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)
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LATEX_ESCAPE_RULES = {
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r"&": r"\&",
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r"%": r"\%",
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r"$": r"\$",
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r"#": r"\#",
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r"_": r"\_",
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r"^": r"\^{}",
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r"{": r"\{",
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r"}": r"\}",
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r"~": r"\textasciitilde{}",
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"\\": r"\textbackslash{}",
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r"<": r"\ensuremath{<}",
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r">": r"\ensuremath{>}",
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}
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def _latex_row(cell_values, colwidths, colaligns, escrules=LATEX_ESCAPE_RULES):
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def escape_char(c):
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return escrules.get(c, c)
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escaped_values = ["".join(map(escape_char, cell)) for cell in cell_values]
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rowfmt = DataRow("", "&", "\\\\")
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return _build_simple_row(escaped_values, rowfmt)
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def _rst_escape_first_column(rows, headers):
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def escape_empty(val):
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if isinstance(val, (_text_type, _binary_type)) and not val.strip():
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return ".."
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else:
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return val
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new_headers = list(headers)
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new_rows = []
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if headers:
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new_headers[0] = escape_empty(headers[0])
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for row in rows:
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new_row = list(row)
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if new_row:
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new_row[0] = escape_empty(row[0])
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new_rows.append(new_row)
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return new_rows, new_headers
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_table_formats = {
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"simple": TableFormat(
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lineabove=Line("", "-", " ", ""),
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linebelowheader=Line("", "-", " ", ""),
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linebetweenrows=None,
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linebelow=Line("", "-", " ", ""),
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headerrow=DataRow("", " ", ""),
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datarow=DataRow("", " ", ""),
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padding=0,
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with_header_hide=["lineabove", "linebelow"],
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),
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"plain": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("", " ", ""),
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datarow=DataRow("", " ", ""),
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padding=0,
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with_header_hide=None,
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),
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"grid": TableFormat(
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lineabove=Line("+", "-", "+", "+"),
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linebelowheader=Line("+", "=", "+", "+"),
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linebetweenrows=Line("+", "-", "+", "+"),
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linebelow=Line("+", "-", "+", "+"),
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=None,
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),
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"fancy_grid": TableFormat(
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lineabove=Line("╒", "═", "╤", "╕"),
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linebelowheader=Line("╞", "═", "╪", "╡"),
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linebetweenrows=Line("├", "─", "┼", "┤"),
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linebelow=Line("╘", "═", "╧", "╛"),
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headerrow=DataRow("│", "│", "│"),
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datarow=DataRow("│", "│", "│"),
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padding=1,
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with_header_hide=None,
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),
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"github": TableFormat(
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lineabove=Line("|", "-", "|", "|"),
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linebelowheader=Line("|", "-", "|", "|"),
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=["lineabove"],
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),
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"pipe": TableFormat(
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lineabove=_pipe_line_with_colons,
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linebelowheader=_pipe_line_with_colons,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=["lineabove"],
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),
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"orgtbl": TableFormat(
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lineabove=None,
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linebelowheader=Line("|", "-", "+", "|"),
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=None,
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),
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"jira": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("||", "||", "||"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=None,
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),
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"presto": TableFormat(
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lineabove=None,
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linebelowheader=Line("", "-", "+", ""),
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("", "|", ""),
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datarow=DataRow("", "|", ""),
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padding=1,
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with_header_hide=None,
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),
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"pretty": TableFormat(
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lineabove=Line("+", "-", "+", "+"),
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linebelowheader=Line("+", "-", "+", "+"),
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linebetweenrows=None,
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linebelow=Line("+", "-", "+", "+"),
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=None,
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),
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"psql": TableFormat(
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lineabove=Line("+", "-", "+", "+"),
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linebelowheader=Line("|", "-", "+", "|"),
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linebetweenrows=None,
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linebelow=Line("+", "-", "+", "+"),
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headerrow=DataRow("|", "|", "|"),
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datarow=DataRow("|", "|", "|"),
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padding=1,
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with_header_hide=None,
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),
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"rst": TableFormat(
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lineabove=Line("", "=", " ", ""),
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linebelowheader=Line("", "=", " ", ""),
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linebetweenrows=None,
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linebelow=Line("", "=", " ", ""),
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headerrow=DataRow("", " ", ""),
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datarow=DataRow("", " ", ""),
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padding=0,
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with_header_hide=None,
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),
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"mediawiki": TableFormat(
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lineabove=Line(
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'{| class="wikitable" style="text-align: left;"',
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"",
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"",
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"\n|+ <!-- caption -->\n|-",
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),
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linebelowheader=Line("|-", "", "", ""),
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linebetweenrows=Line("|-", "", "", ""),
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linebelow=Line("|}", "", "", ""),
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headerrow=partial(_mediawiki_row_with_attrs, "!"),
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datarow=partial(_mediawiki_row_with_attrs, "|"),
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padding=0,
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with_header_hide=None,
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),
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"moinmoin": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=partial(_moin_row_with_attrs, "||", header="'''"),
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datarow=partial(_moin_row_with_attrs, "||"),
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padding=1,
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with_header_hide=None,
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),
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"youtrack": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("|| ", " || ", " || "),
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datarow=DataRow("| ", " | ", " |"),
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padding=1,
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with_header_hide=None,
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),
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"html": TableFormat(
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lineabove=_html_begin_table_without_header,
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linebelowheader="",
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linebetweenrows=None,
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linebelow=Line("</tbody>\n</table>", "", "", ""),
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headerrow=partial(_html_row_with_attrs, "th"),
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datarow=partial(_html_row_with_attrs, "td"),
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padding=0,
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with_header_hide=["lineabove"],
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),
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"latex": TableFormat(
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lineabove=_latex_line_begin_tabular,
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linebelowheader=Line("\\hline", "", "", ""),
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linebetweenrows=None,
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linebelow=Line("\\hline\n\\end{tabular}", "", "", ""),
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headerrow=_latex_row,
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datarow=_latex_row,
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padding=1,
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with_header_hide=None,
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),
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"latex_raw": TableFormat(
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lineabove=_latex_line_begin_tabular,
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linebelowheader=Line("\\hline", "", "", ""),
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linebetweenrows=None,
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linebelow=Line("\\hline\n\\end{tabular}", "", "", ""),
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headerrow=partial(_latex_row, escrules={}),
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datarow=partial(_latex_row, escrules={}),
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padding=1,
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with_header_hide=None,
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),
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"latex_booktabs": TableFormat(
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lineabove=partial(_latex_line_begin_tabular, booktabs=True),
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linebelowheader=Line("\\midrule", "", "", ""),
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linebetweenrows=None,
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linebelow=Line("\\bottomrule\n\\end{tabular}", "", "", ""),
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headerrow=_latex_row,
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datarow=_latex_row,
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padding=1,
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with_header_hide=None,
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),
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"tsv": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("", "\t", ""),
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datarow=DataRow("", "\t", ""),
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padding=0,
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with_header_hide=None,
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),
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"textile": TableFormat(
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lineabove=None,
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linebelowheader=None,
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linebetweenrows=None,
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linebelow=None,
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headerrow=DataRow("|_. ", "|_.", "|"),
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datarow=_textile_row_with_attrs,
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padding=1,
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with_header_hide=None,
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),
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}
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tabulate_formats = list(sorted(_table_formats.keys()))
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|
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# The table formats for which multiline cells will be folded into subsequent
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# table rows. The key is the original format specified at the API. The value is
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# the format that will be used to represent the original format.
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multiline_formats = {
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"plain": "plain",
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"simple": "simple",
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"grid": "grid",
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"fancy_grid": "fancy_grid",
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"pipe": "pipe",
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"orgtbl": "orgtbl",
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"jira": "jira",
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"presto": "presto",
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"pretty": "pretty",
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"psql": "psql",
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"rst": "rst",
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}
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|
|
# TODO: Add multiline support for the remaining table formats:
|
|
# - mediawiki: Replace \n with <br>
|
|
# - moinmoin: TBD
|
|
# - youtrack: TBD
|
|
# - html: Replace \n with <br>
|
|
# - 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 <br/> (must be well-formed XML)
|
|
|
|
_multiline_codes = re.compile(r"\r|\n|\r\n")
|
|
_multiline_codes_bytes = re.compile(b"\r|\n|\r\n")
|
|
_invisible_codes = re.compile(
|
|
r"\x1b\[\d+[;\d]*m|\x1b\[\d*\;\d*\;\d*m"
|
|
) # ANSI color codes
|
|
_invisible_codes_bytes = re.compile(
|
|
b"\x1b\\[\\d+\\[;\\d]*m|\x1b\\[\\d*;\\d*;\\d*m"
|
|
) # ANSI color codes
|
|
|
|
|
|
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 _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, (_text_type, _binary_type)) 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, _binary_type) or isinstance(string, _text_type))
|
|
and _isconvertible(inttype, string)
|
|
)
|
|
|
|
|
|
def _isbool(string):
|
|
"""
|
|
>>> _isbool(True)
|
|
True
|
|
>>> _isbool("False")
|
|
True
|
|
>>> _isbool(1)
|
|
False
|
|
"""
|
|
return type(string) is _bool_type or (
|
|
isinstance(string, (_binary_type, _text_type)) 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, _text_type) or isinstance(string, _binary_type)
|
|
):
|
|
string = _strip_invisible(string)
|
|
|
|
if string is None:
|
|
return _none_type
|
|
elif hasattr(string, "isoformat"): # datetime.datetime, date, and time
|
|
return _text_type
|
|
elif _isbool(string):
|
|
return _bool_type
|
|
elif _isint(string) and numparse:
|
|
return int
|
|
elif _isint(string, _long_type) and numparse:
|
|
return int
|
|
elif _isnumber(string) and numparse:
|
|
return float
|
|
elif isinstance(string, _binary_type):
|
|
return _binary_type
|
|
else:
|
|
return _text_type
|
|
|
|
|
|
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
|
|
|
|
"""
|
|
if _isnumber(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_invisible(s):
|
|
"Remove invisible ANSI color codes."
|
|
if isinstance(s, _text_type):
|
|
return re.sub(_invisible_codes, "", s)
|
|
else: # a bytestring
|
|
return re.sub(_invisible_codes_bytes, "", 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, _text_type) or isinstance(s, _binary_type):
|
|
return len_fn(_strip_invisible(s))
|
|
else:
|
|
return len_fn(_text_type(s))
|
|
|
|
|
|
def _is_multiline(s):
|
|
if isinstance(s, _text_type):
|
|
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_invisible(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(
|
|
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 = _choose_width_fn(has_invisible, enable_widechars, is_multiline)
|
|
|
|
s_widths = list(map(width_fn, strings))
|
|
maxwidth = max(max(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 = [max((len(s) for s in re.split("[\r\n]", ms))) for ms in 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 = [
|
|
"\n".join([padfn(w, s) for s in (ms.splitlines() or ms)])
|
|
for ms, w 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 = {
|
|
_none_type: 0,
|
|
_bool_type: 1,
|
|
int: 2,
|
|
float: 3,
|
|
_binary_type: 4,
|
|
_text_type: 5,
|
|
}
|
|
invtypes = {
|
|
5: _text_type,
|
|
4: _binary_type,
|
|
3: float,
|
|
2: int,
|
|
1: _bool_type,
|
|
0: _none_type,
|
|
}
|
|
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_type
|
|
True
|
|
>>> _column_type(["1", "2"]) is _int_type
|
|
True
|
|
>>> _column_type(["1", "2.3"]) is _float_type
|
|
True
|
|
>>> _column_type(["1", "2.3", "four"]) is _text_type
|
|
True
|
|
>>> _column_type(["four", '\u043f\u044f\u0442\u044c']) is _text_type
|
|
True
|
|
>>> _column_type([None, "brux"]) is _text_type
|
|
True
|
|
>>> _column_type([1, 2, None]) is _int_type
|
|
True
|
|
>>> import datetime as dt
|
|
>>> _column_type([dt.datetime(1991,2,19), dt.time(17,35)]) is _text_type
|
|
True
|
|
|
|
"""
|
|
types = [_type(s, has_invisible, numparse) for s in strings]
|
|
return reduce(_more_generic, types, _bool_type)
|
|
|
|
|
|
def _format(val, valtype, floatfmt, missingval="", has_invisible=True):
|
|
"""Format a value accoding 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 in [int, _text_type]:
|
|
return "{0}".format(val)
|
|
elif valtype is _binary_type:
|
|
try:
|
|
return _text_type(val, "ascii")
|
|
except TypeError:
|
|
return _text_type(val)
|
|
elif valtype is float:
|
|
is_a_colored_number = has_invisible and isinstance(
|
|
val, (_text_type, _binary_type)
|
|
)
|
|
if is_a_colored_number:
|
|
raw_val = _strip_invisible(val)
|
|
formatted_val = format(float(raw_val), floatfmt)
|
|
return val.replace(raw_val, formatted_val)
|
|
else:
|
|
return format(float(val), floatfmt)
|
|
else:
|
|
return "{0}".format(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 "{0}".format(header)
|
|
else:
|
|
return _padleft(width, header)
|
|
|
|
|
|
def _prepend_row_index(rows, index):
|
|
"""Add a left-most index column."""
|
|
if index is None or index is False:
|
|
return rows
|
|
if len(index) != len(rows):
|
|
print("index=", index)
|
|
print("rows=", rows)
|
|
raise ValueError("index must be as long as the number of data rows")
|
|
rows = [[v] + list(row) for v, row in zip(index, rows)]
|
|
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")
|
|
|
|
* 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 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(_text_type, keys)) # headers should be strings
|
|
|
|
else: # it's a usual an iterable of iterables, or a NumPy array
|
|
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(_text_type, rows[0]._fields))
|
|
elif len(rows) > 0 and isinstance(rows[0], dict):
|
|
# dict or OrderedDict
|
|
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(_text_type, headers))
|
|
elif headers == "firstrow":
|
|
if len(rows) > 0:
|
|
headers = [firstdict.get(k, k) for k in keys]
|
|
headers = list(map(_text_type, 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 headers == "keys" and len(rows) > 0:
|
|
# keys are column indices
|
|
headers = list(map(_text_type, 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(_text_type, headers)) # headers should be strings
|
|
rows = rows[1:]
|
|
|
|
headers = list(map(_text_type, headers))
|
|
rows = list(map(list, rows))
|
|
|
|
# add or remove an index column
|
|
showindex_is_a_str = type(showindex) in [_text_type, _binary_type]
|
|
if showindex == "default" and index is not None:
|
|
rows = _prepend_row_index(rows, index)
|
|
elif isinstance(showindex, Iterable) and not showindex_is_a_str:
|
|
rows = _prepend_row_index(rows, list(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 tabulate(
|
|
tabular_data,
|
|
headers=(),
|
|
tablefmt="simple",
|
|
floatfmt=_DEFAULT_FLOATFMT,
|
|
numalign="decimal",
|
|
stralign="left",
|
|
missingval=_DEFAULT_MISSINGVAL,
|
|
showindex="default",
|
|
disable_numparse=False,
|
|
colalign=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,
|
|
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
|
|
-------------
|
|
|
|
`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' and 'latex_booktabs'. 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 |
|
|
+------+----------+
|
|
|
|
"fancy_grid" draws a grid using box-drawing characters:
|
|
|
|
>>> print(tabulate([["spam", 41.9999], ["eggs", "451.0"]],
|
|
... ["strings", "numbers"], "fancy_grid"))
|
|
╒═══════════╤═══════════╕
|
|
│ 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;"
|
|
|+ <!-- caption -->
|
|
|-
|
|
! 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:
|
|
|
|
>>> print(tabulate([["strings", "numbers"], ["spam", 41.9999], ["eggs", "451.0"]],
|
|
... headers="firstrow", tablefmt="html"))
|
|
<table>
|
|
<thead>
|
|
<tr><th>strings </th><th style="text-align: right;"> numbers</th></tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr><td>spam </td><td style="text-align: right;"> 41.9999</td></tr>
|
|
<tr><td>eggs </td><td style="text-align: right;"> 451 </td></tr>
|
|
</tbody>
|
|
</table>
|
|
|
|
"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}
|
|
|
|
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.
|
|
"""
|
|
if tabular_data is None:
|
|
tabular_data = []
|
|
list_of_lists, headers = _normalize_tabular_data(
|
|
tabular_data, headers, showindex=showindex
|
|
)
|
|
|
|
# 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"
|
|
stralign = "center"
|
|
|
|
# optimization: look for ANSI control codes once,
|
|
# enable smart width functions only if a control code is found
|
|
plain_text = "\t".join(
|
|
["\t".join(map(_text_type, headers))]
|
|
+ ["\t".join(map(_text_type, row)) for row in list_of_lists]
|
|
)
|
|
|
|
has_invisible = re.search(_invisible_codes, plain_text)
|
|
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, basestring): # 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(missingval, basestring):
|
|
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, miss_v, has_invisible) for v in c]
|
|
for c, ct, fl_fmt, miss_v in zip(cols, coltypes, float_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"])
|
|
|
|
return _format_table(tablefmt, headers, rows, minwidths, aligns, is_multiline)
|
|
|
|
|
|
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 _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):
|
|
lines.append(_build_row(padded_cells, colwidths, colaligns, rowfmt))
|
|
return lines
|
|
|
|
|
|
def _append_multiline_row(
|
|
lines, padded_multiline_cells, padded_widths, colaligns, rowfmt, pad
|
|
):
|
|
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)
|
|
]
|
|
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):
|
|
"""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 in padded_rows[:-1]:
|
|
append_row(lines, row, padded_widths, colaligns, fmt.datarow)
|
|
_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)
|
|
else:
|
|
for row in padded_rows:
|
|
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 ""
|
|
|
|
|
|
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)
|
|
-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, 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=", "align=", "format="],
|
|
)
|
|
except getopt.GetoptError as e:
|
|
print(e)
|
|
print(usage)
|
|
sys.exit(2)
|
|
headers = []
|
|
floatfmt = _DEFAULT_FLOATFMT
|
|
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 ["-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,
|
|
file=out,
|
|
colalign=colalign,
|
|
)
|
|
else:
|
|
with open(f) as fobj:
|
|
_pprint_file(
|
|
fobj,
|
|
headers=headers,
|
|
tablefmt=tablefmt,
|
|
sep=sep,
|
|
floatfmt=floatfmt,
|
|
file=out,
|
|
colalign=colalign,
|
|
)
|
|
|
|
|
|
def _pprint_file(fobject, headers, tablefmt, sep, floatfmt, 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, colalign=colalign),
|
|
file=file,
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
_main()
|