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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. FTNkeysrQ__call__r)ralwaysTrcSsg|] }t|qSr rr6rr r rr8Qr9z+_normalize_tabular_data..z7tabular data doesn't appear to be a dict or a DataFramedtypenames_fieldsfirstrowr/csg|]}||qSr rCr6k)rr rr8r9csg|]}||qSr rCr) firstdictr rr8r9z6headers for a list of dicts is not a dict or a keywordcsg|]fddDqS)csg|]}|qSr rCrrr rr8r9z6_normalize_tabular_data...r r6)r rrr8r9 descriptionZfetchoneZrowcountcSsg|] }|dqS)rr )r6columnr r rr8r9rr neverr)rrrr rQr rrnamerrvr{getattrrrr;tuplersetextendupdateradddictrrangerr|r rr ) tabular_datar showindexZis_headers2bool_brokenrrZvalsZ uniq_keysrrZshowindex_is_a_strZnhsZncolsr )rrr r_normalize_tabular_datas            .                r&r c sV|dur g}t|||d\} }|dkr4t| |\} }t|dkrjdd}tkrTdntkrddnn tkrvdntkrd nd d tt|gd d | D} tt | stt | t duot t |ts |tvr t| r t||}dnd ttt| } t|t| } dd t| | D}t |trdt| |g}n6t|}t|t| kr|t| t|tgt |trt| |g}n6t|}t|t| kr|t| t|tgfdd t| |||D} fdd |D}| durRt | ts6Jt| D]\}}|||<q>|rlfdd |Dn dgt| }fdd t| ||D} |r | pdggt|}|pƈgt|}fdd t||D}fdd t|||D}tt| }nfdd | D}tt| }t |tsDt|td}t|||||S)u,(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', '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 | +------+----------+ "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;" |+ |- ! 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. N)r%rrrTr1r-r2rcSsg|]}dtt|qS)r)r=rvr{rr r rr8r9ztabulate..FcSsg|]\}}t||dqS))r)r)r6colZnpr r rr8(r9cs,g|]$\}fdd|DqS)csg|]}t|qSr )r)r6rN)ctfl_fmtrmiss_vr rr88r9z'tabulate...r r6rF)r)r(r)r*rr87s cs g|]}|ttfvrnqSr )rr)r6r()numalignstralignr rr8=r9csg|]}|qSr r r) min_paddingrr rr8Cr9c s$g|]\}}}t|||qSr )r)r6rFr7minw)rrrr rr8Esrcs,g|]$\}}t|tfdd|DqS)c3s|]}|VqdSrr r6clrr rrOOr9&tabulate...r)r6r/rFr2r rr8Nsc s(g|] \}}}t||||qSr r)r6rr7r/)rrr rr8Rscs"g|]}tfdd|DqS)c3s|]}|VqdSrr r0r2r rrOXr9r3r4r+r2r rr8Xr9r) r&r MIN_PADDING_DEFAULT_ALIGNr=rvr{rrrrrrrr#multiline_formatsrrDrrr_expand_numparser;r< basestringr_DEFAULT_FLOATFMT_DEFAULT_MISSINGVALr enumerate_table_formats _format_table)r$rtablefmtrr,r-rr%disable_numparsecolalignZ list_of_listsZ plain_textZcols numparsesZcoltypesZ float_formatsZ missing_valsZalignsidxr3Z minwidthsZt_colsZt_alignsrr )rrrr.r,r-rrrs8              &      rcCs:t|tr*dg|}|D] }d||<q|S| g|SdS)aB 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. TFN)rr)r@Z column_countrBrr r rr8as    r8cs*|r"d|fdd|D}|S|SdS)NrBcsg|]}|qSr r rwpadr rr8ur9z_pad_row..r )cellsr* padded_cellsr rDr_pad_rowrs rHcCs |\}}}||||S)z7Format row according to DataRow format without padding.)r=rI)rGryrr r!r r rrx{s rxcCs,|sdSt|dr||||St||SdS)z5Return a string which represents a row of data cells.Nr r rx)rGr>r?ryr r r _build_rows   rJcCs|t|||||Sr)rrJ)linesrGr>r?ryr r r_append_basic_rowsrLc sfdd|D}dd|Dtttfddt|DfddtD}|D]}t|} t|| |||q`|S)Ncsg|]}|dqSrr r6r4rDr rr8r9z)_append_multiline_row..cSsg|] }|qSr )rr+r r rr8r9cs*g|]"\}}|d|gt|qSrr)r6r1r4)nlinesr rr8scsg|]fddDqS)csg|] }|qSr r r0ir rr8r9z4_append_multiline_row...r r) cells_linesrPrr8r9)rrvr;r<r#rHrL) rKZpadded_multiline_cells padded_widthsr?ryrEr>Z lines_cellsZlnZ padded_lnr )rRrOrEr_append_multiline_rows  rTcsN|sdSt|dr|||S|\}}}fdd|D}t||||fSdS)z3Return a string which represents a horizontal line.Nr csg|] }|qSr r rNZfillr rr8r9z_build_line..rI)r>r?linefmtrr r!rFr rUr _build_lines   rWcCs|t||||Sr)rrW)rKr>r?rVr r r _append_linesrXc@s$eZdZdZddZeddZdS)JupyterHTMLStrzUWrap the string with a _repr_html_ method so that Jupyter displays the HTML tablecCs|Srr selfr r r _repr_html_szJupyterHTMLStr._repr_html_cCs|S)z>add a .str property so that the raw string is still accessibler rZr r rstrszJupyterHTMLStr.strN)__name__ __module__ __qualname____doc__r\propertyr]r r r rrYsrYcsg}|r|jr|jng}|j|j}fdd|D} |rPddttd} ntt} |} fdd|D} |jrd|vrt|| ||j| r| || | |||j rd|vrt|| ||j | r*|j r*d |vr*| d d D]&} | || | ||j t|| ||j q| || d | ||j n| D]} | || | ||j q.|j rjd |vrjt|| ||j |sv|rd |}|jtkrt|S|SndSd S)z1Produce a plain-text representation of the table.csg|]}|dqSrMr rNrDr rr8r9z!_format_table..cSs|Srr )rrlr r rrr9z_format_table..rDcsg|]}|qSr r rrEZpad_rowr rr8r9r$r%r&Nrr'rbr)r+r*r(rrTrHrLr$rXr%r&r)r'r=rSrY)rrrr>r?rrKZhiddenr(rSZ append_rowZpadded_headersZ padded_rowsroutputr rcrr>sB    r>c Csddl}ddl}ddl}|tj}z$||jdddgd\}}Wn@|jy}z&t|t|| dWYd}~n d}~00g}t }d} d} d} d } |D]\} }| d vrd }q| d vr|} q| d vr|}q| dvr| } q| dvr"|t vrtd|t|| d|} q| dvr2|} q| dvrt|| dq|s\|j gn|}| d krp|jnt| d}|D]x}|d kr|j }t|rt||| | ||| dn@t|&}t||| | ||| dWdn1s0YqWdn1s0YdS)a 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, latex_longtable, tsv (default: simple) rNr/z h1o:s:F:A:f:)helpr]rdzsep=zfloat=zalign=zformat=rrz\s+r.)z-1z--headerr)z-oz--output)z-Fz--float)z-Cz --colalign)z-fz--formatz"%s is not a supported table formatr)z-sz--sep)z-hz--helpr4)rr?r rfilerA)getoptsystextwrapdedent_mainraargvZ GetoptErrorrexitr:rrstdinstdoutopenr _pprint_file)rgrhriZusageZoptsargsrrrrAr?r ZoutfileZoptvaluefilesoutr Zfobjr r rrks               rkc s8|}fdd|D}tt|||||d|ddS)Ncs$g|]}|rt|qSr )r}rrrI)r6rar r rr8Or9z _pprint_file..)rrA)rf) readlinesrr) Zfobjectrr?r rrfrArtabler rvrrqMs rq__main__)r)FF)TT)rTFF)TT)rT)FN)r)wraZ __future__rr collectionsrrhrr version_infocollections.abcr itertoolsr functoolsrrrrrrZ _int_typeZlongrrZ _float_typeZunicoder{r]r|rrrbytesr9rr ImportErrorrrrYZcgi__all__ __version__r5rr:r;r6rrr"r#r5r@rMrRrSr[r_rgZLATEX_ESCAPE_RULESrzrr=rsortedr rr7compilerrrrrrrrrrrrrrrrrrrr;rrrrrrrrrrrr r r&rr8rHrxrJrLrTrWrXrYr>rkrqr^r r r rs4           "                                                                                                          z    '      1  %   / $    2\