craftbeerpi4-pione/venv/lib/python3.8/site-packages/pandas/io/formats/latex.py

825 lines
25 KiB
Python

"""
Module for formatting output data in Latex.
"""
from abc import ABC, abstractmethod
from typing import Iterator, List, Optional, Sequence, Tuple, Type, Union
import numpy as np
from pandas.core.dtypes.generic import ABCMultiIndex
from pandas.io.formats.format import DataFrameFormatter
def _split_into_full_short_caption(
caption: Optional[Union[str, Tuple[str, str]]]
) -> Tuple[str, str]:
"""Extract full and short captions from caption string/tuple.
Parameters
----------
caption : str or tuple, optional
Either table caption string or tuple (full_caption, short_caption).
If string is provided, then it is treated as table full caption,
while short_caption is considered an empty string.
Returns
-------
full_caption, short_caption : tuple
Tuple of full_caption, short_caption strings.
"""
if caption:
if isinstance(caption, str):
full_caption = caption
short_caption = ""
else:
try:
full_caption, short_caption = caption
except ValueError as err:
msg = "caption must be either a string or a tuple of two strings"
raise ValueError(msg) from err
else:
full_caption = ""
short_caption = ""
return full_caption, short_caption
class RowStringConverter(ABC):
r"""Converter for dataframe rows into LaTeX strings.
Parameters
----------
formatter : `DataFrameFormatter`
Instance of `DataFrameFormatter`.
multicolumn: bool, optional
Whether to use \multicolumn macro.
multicolumn_format: str, optional
Multicolumn format.
multirow: bool, optional
Whether to use \multirow macro.
"""
def __init__(
self,
formatter: DataFrameFormatter,
multicolumn: bool = False,
multicolumn_format: Optional[str] = None,
multirow: bool = False,
):
self.fmt = formatter
self.frame = self.fmt.frame
self.multicolumn = multicolumn
self.multicolumn_format = multicolumn_format
self.multirow = multirow
self.clinebuf: List[List[int]] = []
self.strcols = self._get_strcols()
self.strrows = list(zip(*self.strcols))
def get_strrow(self, row_num: int) -> str:
"""Get string representation of the row."""
row = self.strrows[row_num]
is_multicol = (
row_num < self.column_levels and self.fmt.header and self.multicolumn
)
is_multirow = (
row_num >= self.header_levels
and self.fmt.index
and self.multirow
and self.index_levels > 1
)
is_cline_maybe_required = is_multirow and row_num < len(self.strrows) - 1
crow = self._preprocess_row(row)
if is_multicol:
crow = self._format_multicolumn(crow)
if is_multirow:
crow = self._format_multirow(crow, row_num)
lst = []
lst.append(" & ".join(crow))
lst.append(" \\\\")
if is_cline_maybe_required:
cline = self._compose_cline(row_num, len(self.strcols))
lst.append(cline)
return "".join(lst)
@property
def _header_row_num(self) -> int:
"""Number of rows in header."""
return self.header_levels if self.fmt.header else 0
@property
def index_levels(self) -> int:
"""Integer number of levels in index."""
return self.frame.index.nlevels
@property
def column_levels(self) -> int:
return self.frame.columns.nlevels
@property
def header_levels(self) -> int:
nlevels = self.column_levels
if self.fmt.has_index_names and self.fmt.show_index_names:
nlevels += 1
return nlevels
def _get_strcols(self) -> List[List[str]]:
"""String representation of the columns."""
if self.fmt.frame.empty:
strcols = [[self._empty_info_line]]
else:
strcols = self.fmt.get_strcols()
# reestablish the MultiIndex that has been joined by get_strcols()
if self.fmt.index and isinstance(self.frame.index, ABCMultiIndex):
out = self.frame.index.format(
adjoin=False,
sparsify=self.fmt.sparsify,
names=self.fmt.has_index_names,
na_rep=self.fmt.na_rep,
)
# index.format will sparsify repeated entries with empty strings
# so pad these with some empty space
def pad_empties(x):
for pad in reversed(x):
if pad:
break
return [x[0]] + [i if i else " " * len(pad) for i in x[1:]]
gen = (pad_empties(i) for i in out)
# Add empty spaces for each column level
clevels = self.frame.columns.nlevels
out = [[" " * len(i[-1])] * clevels + i for i in gen]
# Add the column names to the last index column
cnames = self.frame.columns.names
if any(cnames):
new_names = [i if i else "{}" for i in cnames]
out[self.frame.index.nlevels - 1][:clevels] = new_names
# Get rid of old multiindex column and add new ones
strcols = out + strcols[1:]
return strcols
@property
def _empty_info_line(self):
return (
f"Empty {type(self.frame).__name__}\n"
f"Columns: {self.frame.columns}\n"
f"Index: {self.frame.index}"
)
def _preprocess_row(self, row: Sequence[str]) -> List[str]:
"""Preprocess elements of the row."""
if self.fmt.escape:
crow = _escape_symbols(row)
else:
crow = [x if x else "{}" for x in row]
if self.fmt.bold_rows and self.fmt.index:
crow = _convert_to_bold(crow, self.index_levels)
return crow
def _format_multicolumn(self, row: List[str]) -> List[str]:
r"""
Combine columns belonging to a group to a single multicolumn entry
according to self.multicolumn_format
e.g.:
a & & & b & c &
will become
\multicolumn{3}{l}{a} & b & \multicolumn{2}{l}{c}
"""
row2 = row[: self.index_levels]
ncol = 1
coltext = ""
def append_col():
# write multicolumn if needed
if ncol > 1:
row2.append(
f"\\multicolumn{{{ncol:d}}}{{{self.multicolumn_format}}}"
f"{{{coltext.strip()}}}"
)
# don't modify where not needed
else:
row2.append(coltext)
for c in row[self.index_levels :]:
# if next col has text, write the previous
if c.strip():
if coltext:
append_col()
coltext = c
ncol = 1
# if not, add it to the previous multicolumn
else:
ncol += 1
# write last column name
if coltext:
append_col()
return row2
def _format_multirow(self, row: List[str], i: int) -> List[str]:
r"""
Check following rows, whether row should be a multirow
e.g.: becomes:
a & 0 & \multirow{2}{*}{a} & 0 &
& 1 & & 1 &
b & 0 & \cline{1-2}
b & 0 &
"""
for j in range(self.index_levels):
if row[j].strip():
nrow = 1
for r in self.strrows[i + 1 :]:
if not r[j].strip():
nrow += 1
else:
break
if nrow > 1:
# overwrite non-multirow entry
row[j] = f"\\multirow{{{nrow:d}}}{{*}}{{{row[j].strip()}}}"
# save when to end the current block with \cline
self.clinebuf.append([i + nrow - 1, j + 1])
return row
def _compose_cline(self, i: int, icol: int) -> str:
"""
Create clines after multirow-blocks are finished.
"""
lst = []
for cl in self.clinebuf:
if cl[0] == i:
lst.append(f"\n\\cline{{{cl[1]:d}-{icol:d}}}")
# remove entries that have been written to buffer
self.clinebuf = [x for x in self.clinebuf if x[0] != i]
return "".join(lst)
class RowStringIterator(RowStringConverter):
"""Iterator over rows of the header or the body of the table."""
@abstractmethod
def __iter__(self) -> Iterator[str]:
"""Iterate over LaTeX string representations of rows."""
class RowHeaderIterator(RowStringIterator):
"""Iterator for the table header rows."""
def __iter__(self) -> Iterator[str]:
for row_num in range(len(self.strrows)):
if row_num < self._header_row_num:
yield self.get_strrow(row_num)
class RowBodyIterator(RowStringIterator):
"""Iterator for the table body rows."""
def __iter__(self) -> Iterator[str]:
for row_num in range(len(self.strrows)):
if row_num >= self._header_row_num:
yield self.get_strrow(row_num)
class TableBuilderAbstract(ABC):
"""
Abstract table builder producing string representation of LaTeX table.
Parameters
----------
formatter : `DataFrameFormatter`
Instance of `DataFrameFormatter`.
column_format: str, optional
Column format, for example, 'rcl' for three columns.
multicolumn: bool, optional
Use multicolumn to enhance MultiIndex columns.
multicolumn_format: str, optional
The alignment for multicolumns, similar to column_format.
multirow: bool, optional
Use multirow to enhance MultiIndex rows.
caption: str, optional
Table caption.
short_caption: str, optional
Table short caption.
label: str, optional
LaTeX label.
position: str, optional
Float placement specifier, for example, 'htb'.
"""
def __init__(
self,
formatter: DataFrameFormatter,
column_format: Optional[str] = None,
multicolumn: bool = False,
multicolumn_format: Optional[str] = None,
multirow: bool = False,
caption: Optional[str] = None,
short_caption: Optional[str] = None,
label: Optional[str] = None,
position: Optional[str] = None,
):
self.fmt = formatter
self.column_format = column_format
self.multicolumn = multicolumn
self.multicolumn_format = multicolumn_format
self.multirow = multirow
self.caption = caption
self.short_caption = short_caption
self.label = label
self.position = position
def get_result(self) -> str:
"""String representation of LaTeX table."""
elements = [
self.env_begin,
self.top_separator,
self.header,
self.middle_separator,
self.env_body,
self.bottom_separator,
self.env_end,
]
result = "\n".join([item for item in elements if item])
trailing_newline = "\n"
result += trailing_newline
return result
@property
@abstractmethod
def env_begin(self) -> str:
"""Beginning of the environment."""
@property
@abstractmethod
def top_separator(self) -> str:
"""Top level separator."""
@property
@abstractmethod
def header(self) -> str:
"""Header lines."""
@property
@abstractmethod
def middle_separator(self) -> str:
"""Middle level separator."""
@property
@abstractmethod
def env_body(self) -> str:
"""Environment body."""
@property
@abstractmethod
def bottom_separator(self) -> str:
"""Bottom level separator."""
@property
@abstractmethod
def env_end(self) -> str:
"""End of the environment."""
class GenericTableBuilder(TableBuilderAbstract):
"""Table builder producing string representation of LaTeX table."""
@property
def header(self) -> str:
iterator = self._create_row_iterator(over="header")
return "\n".join(list(iterator))
@property
def top_separator(self) -> str:
return "\\toprule"
@property
def middle_separator(self) -> str:
return "\\midrule" if self._is_separator_required() else ""
@property
def env_body(self) -> str:
iterator = self._create_row_iterator(over="body")
return "\n".join(list(iterator))
def _is_separator_required(self) -> bool:
return bool(self.header and self.env_body)
@property
def _position_macro(self) -> str:
r"""Position macro, extracted from self.position, like [h]."""
return f"[{self.position}]" if self.position else ""
@property
def _caption_macro(self) -> str:
r"""Caption macro, extracted from self.caption.
With short caption:
\caption[short_caption]{caption_string}.
Without short caption:
\caption{caption_string}.
"""
if self.caption:
return "".join(
[
r"\caption",
f"[{self.short_caption}]" if self.short_caption else "",
f"{{{self.caption}}}",
]
)
return ""
@property
def _label_macro(self) -> str:
r"""Label macro, extracted from self.label, like \label{ref}."""
return f"\\label{{{self.label}}}" if self.label else ""
def _create_row_iterator(self, over: str) -> RowStringIterator:
"""Create iterator over header or body of the table.
Parameters
----------
over : {'body', 'header'}
Over what to iterate.
Returns
-------
RowStringIterator
Iterator over body or header.
"""
iterator_kind = self._select_iterator(over)
return iterator_kind(
formatter=self.fmt,
multicolumn=self.multicolumn,
multicolumn_format=self.multicolumn_format,
multirow=self.multirow,
)
def _select_iterator(self, over: str) -> Type[RowStringIterator]:
"""Select proper iterator over table rows."""
if over == "header":
return RowHeaderIterator
elif over == "body":
return RowBodyIterator
else:
msg = f"'over' must be either 'header' or 'body', but {over} was provided"
raise ValueError(msg)
class LongTableBuilder(GenericTableBuilder):
"""Concrete table builder for longtable.
>>> from pandas import DataFrame
>>> from pandas.io.formats import format as fmt
>>> df = DataFrame({"a": [1, 2], "b": ["b1", "b2"]})
>>> formatter = fmt.DataFrameFormatter(df)
>>> builder = LongTableBuilder(formatter, caption='a long table',
... label='tab:long', column_format='lrl')
>>> table = builder.get_result()
>>> print(table)
\\begin{longtable}{lrl}
\\caption{a long table}
\\label{tab:long}\\\\
\\toprule
{} & a & b \\\\
\\midrule
\\endfirsthead
\\caption[]{a long table} \\\\
\\toprule
{} & a & b \\\\
\\midrule
\\endhead
\\midrule
\\multicolumn{3}{r}{{Continued on next page}} \\\\
\\midrule
\\endfoot
<BLANKLINE>
\\bottomrule
\\endlastfoot
0 & 1 & b1 \\\\
1 & 2 & b2 \\\\
\\end{longtable}
<BLANKLINE>
"""
@property
def env_begin(self) -> str:
first_row = (
f"\\begin{{longtable}}{self._position_macro}{{{self.column_format}}}"
)
elements = [first_row, f"{self._caption_and_label()}"]
return "\n".join([item for item in elements if item])
def _caption_and_label(self) -> str:
if self.caption or self.label:
double_backslash = "\\\\"
elements = [f"{self._caption_macro}", f"{self._label_macro}"]
caption_and_label = "\n".join([item for item in elements if item])
caption_and_label += double_backslash
return caption_and_label
else:
return ""
@property
def middle_separator(self) -> str:
iterator = self._create_row_iterator(over="header")
# the content between \endfirsthead and \endhead commands
# mitigates repeated List of Tables entries in the final LaTeX
# document when dealing with longtable environments; GH #34360
elements = [
"\\midrule",
"\\endfirsthead",
f"\\caption[]{{{self.caption}}} \\\\" if self.caption else "",
self.top_separator,
self.header,
"\\midrule",
"\\endhead",
"\\midrule",
f"\\multicolumn{{{len(iterator.strcols)}}}{{r}}"
"{{Continued on next page}} \\\\",
"\\midrule",
"\\endfoot\n",
"\\bottomrule",
"\\endlastfoot",
]
if self._is_separator_required():
return "\n".join(elements)
return ""
@property
def bottom_separator(self) -> str:
return ""
@property
def env_end(self) -> str:
return "\\end{longtable}"
class RegularTableBuilder(GenericTableBuilder):
"""Concrete table builder for regular table.
>>> from pandas import DataFrame
>>> from pandas.io.formats import format as fmt
>>> df = DataFrame({"a": [1, 2], "b": ["b1", "b2"]})
>>> formatter = fmt.DataFrameFormatter(df)
>>> builder = RegularTableBuilder(formatter, caption='caption', label='lab',
... column_format='lrc')
>>> table = builder.get_result()
>>> print(table)
\\begin{table}
\\centering
\\caption{caption}
\\label{lab}
\\begin{tabular}{lrc}
\\toprule
{} & a & b \\\\
\\midrule
0 & 1 & b1 \\\\
1 & 2 & b2 \\\\
\\bottomrule
\\end{tabular}
\\end{table}
<BLANKLINE>
"""
@property
def env_begin(self) -> str:
elements = [
f"\\begin{{table}}{self._position_macro}",
"\\centering",
f"{self._caption_macro}",
f"{self._label_macro}",
f"\\begin{{tabular}}{{{self.column_format}}}",
]
return "\n".join([item for item in elements if item])
@property
def bottom_separator(self) -> str:
return "\\bottomrule"
@property
def env_end(self) -> str:
return "\n".join(["\\end{tabular}", "\\end{table}"])
class TabularBuilder(GenericTableBuilder):
"""Concrete table builder for tabular environment.
>>> from pandas import DataFrame
>>> from pandas.io.formats import format as fmt
>>> df = DataFrame({"a": [1, 2], "b": ["b1", "b2"]})
>>> formatter = fmt.DataFrameFormatter(df)
>>> builder = TabularBuilder(formatter, column_format='lrc')
>>> table = builder.get_result()
>>> print(table)
\\begin{tabular}{lrc}
\\toprule
{} & a & b \\\\
\\midrule
0 & 1 & b1 \\\\
1 & 2 & b2 \\\\
\\bottomrule
\\end{tabular}
<BLANKLINE>
"""
@property
def env_begin(self) -> str:
return f"\\begin{{tabular}}{{{self.column_format}}}"
@property
def bottom_separator(self) -> str:
return "\\bottomrule"
@property
def env_end(self) -> str:
return "\\end{tabular}"
class LatexFormatter:
r"""
Used to render a DataFrame to a LaTeX tabular/longtable environment output.
Parameters
----------
formatter : `DataFrameFormatter`
longtable : bool, default False
Use longtable environment.
column_format : str, default None
The columns format as specified in `LaTeX table format
<https://en.wikibooks.org/wiki/LaTeX/Tables>`__ e.g 'rcl' for 3 columns
multicolumn : bool, default False
Use \multicolumn to enhance MultiIndex columns.
multicolumn_format : str, default 'l'
The alignment for multicolumns, similar to `column_format`
multirow : bool, default False
Use \multirow to enhance MultiIndex rows.
caption : str or tuple, optional
Tuple (full_caption, short_caption),
which results in \caption[short_caption]{full_caption};
if a single string is passed, no short caption will be set.
label : str, optional
The LaTeX label to be placed inside ``\label{}`` in the output.
position : str, optional
The LaTeX positional argument for tables, to be placed after
``\begin{}`` in the output.
See Also
--------
HTMLFormatter
"""
def __init__(
self,
formatter: DataFrameFormatter,
longtable: bool = False,
column_format: Optional[str] = None,
multicolumn: bool = False,
multicolumn_format: Optional[str] = None,
multirow: bool = False,
caption: Optional[Union[str, Tuple[str, str]]] = None,
label: Optional[str] = None,
position: Optional[str] = None,
):
self.fmt = formatter
self.frame = self.fmt.frame
self.longtable = longtable
self.column_format = column_format
self.multicolumn = multicolumn
self.multicolumn_format = multicolumn_format
self.multirow = multirow
self.caption, self.short_caption = _split_into_full_short_caption(caption)
self.label = label
self.position = position
def to_string(self) -> str:
"""
Render a DataFrame to a LaTeX tabular, longtable, or table/tabular
environment output.
"""
return self.builder.get_result()
@property
def builder(self) -> TableBuilderAbstract:
"""Concrete table builder.
Returns
-------
TableBuilder
"""
builder = self._select_builder()
return builder(
formatter=self.fmt,
column_format=self.column_format,
multicolumn=self.multicolumn,
multicolumn_format=self.multicolumn_format,
multirow=self.multirow,
caption=self.caption,
short_caption=self.short_caption,
label=self.label,
position=self.position,
)
def _select_builder(self) -> Type[TableBuilderAbstract]:
"""Select proper table builder."""
if self.longtable:
return LongTableBuilder
if any([self.caption, self.label, self.position]):
return RegularTableBuilder
return TabularBuilder
@property
def column_format(self) -> Optional[str]:
"""Column format."""
return self._column_format
@column_format.setter
def column_format(self, input_column_format: Optional[str]) -> None:
"""Setter for column format."""
if input_column_format is None:
self._column_format = (
self._get_index_format() + self._get_column_format_based_on_dtypes()
)
elif not isinstance(input_column_format, str):
raise ValueError(
f"column_format must be str or unicode, "
f"not {type(input_column_format)}"
)
else:
self._column_format = input_column_format
def _get_column_format_based_on_dtypes(self) -> str:
"""Get column format based on data type.
Right alignment for numbers and left - for strings.
"""
def get_col_type(dtype):
if issubclass(dtype.type, np.number):
return "r"
return "l"
dtypes = self.frame.dtypes._values
return "".join(map(get_col_type, dtypes))
def _get_index_format(self) -> str:
"""Get index column format."""
return "l" * self.frame.index.nlevels if self.fmt.index else ""
def _escape_symbols(row: Sequence[str]) -> List[str]:
"""Carry out string replacements for special symbols.
Parameters
----------
row : list
List of string, that may contain special symbols.
Returns
-------
list
list of strings with the special symbols replaced.
"""
return [
(
x.replace("\\", "\\textbackslash ")
.replace("_", "\\_")
.replace("%", "\\%")
.replace("$", "\\$")
.replace("#", "\\#")
.replace("{", "\\{")
.replace("}", "\\}")
.replace("~", "\\textasciitilde ")
.replace("^", "\\textasciicircum ")
.replace("&", "\\&")
if (x and x != "{}")
else "{}"
)
for x in row
]
def _convert_to_bold(crow: Sequence[str], ilevels: int) -> List[str]:
"""Convert elements in ``crow`` to bold."""
return [
f"\\textbf{{{x}}}" if j < ilevels and x.strip() not in ["", "{}"] else x
for j, x in enumerate(crow)
]
if __name__ == "__main__":
import doctest
doctest.testmod()