def tabulate()

in otsstreamreader/tools/tabulate.py [0:0]


def tabulate(tabular_data, headers=(), tablefmt="simple",
             floatfmt="g", numalign="decimal", stralign="left",
             missingval="", showindex="default"):
    """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.

    `None` values are replaced with a `missingval` string:

    >>> 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', 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      |

    >>> 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:

    >>> 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_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}
    """
    if tabular_data is None:
        tabular_data = []
    list_of_lists, headers = _normalize_tabular_data(
            tabular_data, headers, showindex=showindex)

    # optimization: look for ANSI control codes once,
    # enable smart width functions only if a control code is found
    plain_text = '\n'.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 has_invisible:
        width_fn = _visible_width
    elif enable_widechars: # optional wide-character support if available
        width_fn = wcwidth.wcswidth
    else:
        width_fn = len

    # format rows and columns, convert numeric values to strings
    cols = list(zip(*list_of_lists))
    coltypes = list(map(_column_type, cols))
    cols = [[_format(v, ct, floatfmt, missingval, has_invisible) for v in c]
             for c,ct in zip(cols, coltypes)]

    # align columns
    aligns = [numalign if ct in [int,float] else stralign for ct in coltypes]
    minwidths = [width_fn(h) + MIN_PADDING for h in headers] if headers else [0]*len(cols)
    cols = [_align_column(c, a, minw, has_invisible)
            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, width_fn(c[0])) for minw, c in zip(minwidths, t_cols)]
        headers = [_align_header(h, a, minw, width_fn(h))
                   for h, a, minw in zip(headers, t_aligns, minwidths)]
        rows = list(zip(*cols))
    else:
        minwidths = [width_fn(c[0]) 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)