mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-09-20 06:17:29 +02:00
742 lines
25 KiB
Python
742 lines
25 KiB
Python
"""
|
|
Utilities for conversion to writer-agnostic Excel representation.
|
|
"""
|
|
|
|
from functools import reduce
|
|
import itertools
|
|
import re
|
|
from typing import Callable, Dict, Optional, Sequence, Union
|
|
import warnings
|
|
|
|
import numpy as np
|
|
|
|
from pandas._typing import Label
|
|
|
|
from pandas.core.dtypes import missing
|
|
from pandas.core.dtypes.common import is_float, is_scalar
|
|
from pandas.core.dtypes.generic import ABCIndex
|
|
|
|
from pandas import DataFrame, Index, MultiIndex, PeriodIndex
|
|
import pandas.core.common as com
|
|
|
|
from pandas.io.common import stringify_path
|
|
from pandas.io.formats.css import CSSResolver, CSSWarning
|
|
from pandas.io.formats.format import get_level_lengths
|
|
from pandas.io.formats.printing import pprint_thing
|
|
|
|
|
|
class ExcelCell:
|
|
__fields__ = ("row", "col", "val", "style", "mergestart", "mergeend")
|
|
__slots__ = __fields__
|
|
|
|
def __init__(
|
|
self, row: int, col: int, val, style=None, mergestart=None, mergeend=None
|
|
):
|
|
self.row = row
|
|
self.col = col
|
|
self.val = val
|
|
self.style = style
|
|
self.mergestart = mergestart
|
|
self.mergeend = mergeend
|
|
|
|
|
|
class CSSToExcelConverter:
|
|
"""
|
|
A callable for converting CSS declarations to ExcelWriter styles
|
|
|
|
Supports parts of CSS 2.2, with minimal CSS 3.0 support (e.g. text-shadow),
|
|
focusing on font styling, backgrounds, borders and alignment.
|
|
|
|
Operates by first computing CSS styles in a fairly generic
|
|
way (see :meth:`compute_css`) then determining Excel style
|
|
properties from CSS properties (see :meth:`build_xlstyle`).
|
|
|
|
Parameters
|
|
----------
|
|
inherited : str, optional
|
|
CSS declarations understood to be the containing scope for the
|
|
CSS processed by :meth:`__call__`.
|
|
"""
|
|
|
|
# NB: Most of the methods here could be classmethods, as only __init__
|
|
# and __call__ make use of instance attributes. We leave them as
|
|
# instancemethods so that users can easily experiment with extensions
|
|
# without monkey-patching.
|
|
|
|
def __init__(self, inherited: Optional[str] = None):
|
|
if inherited is not None:
|
|
inherited = self.compute_css(inherited)
|
|
|
|
self.inherited = inherited
|
|
|
|
compute_css = CSSResolver()
|
|
|
|
def __call__(self, declarations_str: str) -> Dict[str, Dict[str, str]]:
|
|
"""
|
|
Convert CSS declarations to ExcelWriter style.
|
|
|
|
Parameters
|
|
----------
|
|
declarations_str : str
|
|
List of CSS declarations.
|
|
e.g. "font-weight: bold; background: blue"
|
|
|
|
Returns
|
|
-------
|
|
xlstyle : dict
|
|
A style as interpreted by ExcelWriter when found in
|
|
ExcelCell.style.
|
|
"""
|
|
# TODO: memoize?
|
|
properties = self.compute_css(declarations_str, self.inherited)
|
|
return self.build_xlstyle(properties)
|
|
|
|
def build_xlstyle(self, props: Dict[str, str]) -> Dict[str, Dict[str, str]]:
|
|
out = {
|
|
"alignment": self.build_alignment(props),
|
|
"border": self.build_border(props),
|
|
"fill": self.build_fill(props),
|
|
"font": self.build_font(props),
|
|
"number_format": self.build_number_format(props),
|
|
}
|
|
|
|
# TODO: handle cell width and height: needs support in pandas.io.excel
|
|
|
|
def remove_none(d: Dict[str, str]) -> None:
|
|
"""Remove key where value is None, through nested dicts"""
|
|
for k, v in list(d.items()):
|
|
if v is None:
|
|
del d[k]
|
|
elif isinstance(v, dict):
|
|
remove_none(v)
|
|
if not v:
|
|
del d[k]
|
|
|
|
remove_none(out)
|
|
return out
|
|
|
|
VERTICAL_MAP = {
|
|
"top": "top",
|
|
"text-top": "top",
|
|
"middle": "center",
|
|
"baseline": "bottom",
|
|
"bottom": "bottom",
|
|
"text-bottom": "bottom",
|
|
# OpenXML also has 'justify', 'distributed'
|
|
}
|
|
|
|
def build_alignment(self, props) -> Dict[str, Optional[Union[bool, str]]]:
|
|
# TODO: text-indent, padding-left -> alignment.indent
|
|
return {
|
|
"horizontal": props.get("text-align"),
|
|
"vertical": self.VERTICAL_MAP.get(props.get("vertical-align")),
|
|
"wrap_text": (
|
|
None
|
|
if props.get("white-space") is None
|
|
else props["white-space"] not in ("nowrap", "pre", "pre-line")
|
|
),
|
|
}
|
|
|
|
def build_border(self, props: Dict) -> Dict[str, Dict[str, str]]:
|
|
return {
|
|
side: {
|
|
"style": self._border_style(
|
|
props.get(f"border-{side}-style"),
|
|
props.get(f"border-{side}-width"),
|
|
),
|
|
"color": self.color_to_excel(props.get(f"border-{side}-color")),
|
|
}
|
|
for side in ["top", "right", "bottom", "left"]
|
|
}
|
|
|
|
def _border_style(self, style: Optional[str], width):
|
|
# convert styles and widths to openxml, one of:
|
|
# 'dashDot'
|
|
# 'dashDotDot'
|
|
# 'dashed'
|
|
# 'dotted'
|
|
# 'double'
|
|
# 'hair'
|
|
# 'medium'
|
|
# 'mediumDashDot'
|
|
# 'mediumDashDotDot'
|
|
# 'mediumDashed'
|
|
# 'slantDashDot'
|
|
# 'thick'
|
|
# 'thin'
|
|
if width is None and style is None:
|
|
return None
|
|
if style == "none" or style == "hidden":
|
|
return None
|
|
|
|
if width is None:
|
|
width = "2pt"
|
|
width = float(width[:-2])
|
|
if width < 1e-5:
|
|
return None
|
|
elif width < 1.3:
|
|
width_name = "thin"
|
|
elif width < 2.8:
|
|
width_name = "medium"
|
|
else:
|
|
width_name = "thick"
|
|
|
|
if style in (None, "groove", "ridge", "inset", "outset"):
|
|
# not handled
|
|
style = "solid"
|
|
|
|
if style == "double":
|
|
return "double"
|
|
if style == "solid":
|
|
return width_name
|
|
if style == "dotted":
|
|
if width_name in ("hair", "thin"):
|
|
return "dotted"
|
|
return "mediumDashDotDot"
|
|
if style == "dashed":
|
|
if width_name in ("hair", "thin"):
|
|
return "dashed"
|
|
return "mediumDashed"
|
|
|
|
def build_fill(self, props: Dict[str, str]):
|
|
# TODO: perhaps allow for special properties
|
|
# -excel-pattern-bgcolor and -excel-pattern-type
|
|
fill_color = props.get("background-color")
|
|
if fill_color not in (None, "transparent", "none"):
|
|
return {"fgColor": self.color_to_excel(fill_color), "patternType": "solid"}
|
|
|
|
BOLD_MAP = {
|
|
"bold": True,
|
|
"bolder": True,
|
|
"600": True,
|
|
"700": True,
|
|
"800": True,
|
|
"900": True,
|
|
"normal": False,
|
|
"lighter": False,
|
|
"100": False,
|
|
"200": False,
|
|
"300": False,
|
|
"400": False,
|
|
"500": False,
|
|
}
|
|
ITALIC_MAP = {"normal": False, "italic": True, "oblique": True}
|
|
|
|
def build_font(self, props) -> Dict[str, Optional[Union[bool, int, str]]]:
|
|
size = props.get("font-size")
|
|
if size is not None:
|
|
assert size.endswith("pt")
|
|
size = float(size[:-2])
|
|
|
|
font_names_tmp = re.findall(
|
|
r"""(?x)
|
|
(
|
|
"(?:[^"]|\\")+"
|
|
|
|
|
'(?:[^']|\\')+'
|
|
|
|
|
[^'",]+
|
|
)(?=,|\s*$)
|
|
""",
|
|
props.get("font-family", ""),
|
|
)
|
|
font_names = []
|
|
for name in font_names_tmp:
|
|
if name[:1] == '"':
|
|
name = name[1:-1].replace('\\"', '"')
|
|
elif name[:1] == "'":
|
|
name = name[1:-1].replace("\\'", "'")
|
|
else:
|
|
name = name.strip()
|
|
if name:
|
|
font_names.append(name)
|
|
|
|
family = None
|
|
for name in font_names:
|
|
if name == "serif":
|
|
family = 1 # roman
|
|
break
|
|
elif name == "sans-serif":
|
|
family = 2 # swiss
|
|
break
|
|
elif name == "cursive":
|
|
family = 4 # script
|
|
break
|
|
elif name == "fantasy":
|
|
family = 5 # decorative
|
|
break
|
|
|
|
decoration = props.get("text-decoration")
|
|
if decoration is not None:
|
|
decoration = decoration.split()
|
|
else:
|
|
decoration = ()
|
|
|
|
return {
|
|
"name": font_names[0] if font_names else None,
|
|
"family": family,
|
|
"size": size,
|
|
"bold": self.BOLD_MAP.get(props.get("font-weight")),
|
|
"italic": self.ITALIC_MAP.get(props.get("font-style")),
|
|
"underline": ("single" if "underline" in decoration else None),
|
|
"strike": ("line-through" in decoration) or None,
|
|
"color": self.color_to_excel(props.get("color")),
|
|
# shadow if nonzero digit before shadow color
|
|
"shadow": (
|
|
bool(re.search("^[^#(]*[1-9]", props["text-shadow"]))
|
|
if "text-shadow" in props
|
|
else None
|
|
),
|
|
# FIXME: dont leave commented-out
|
|
# 'vertAlign':,
|
|
# 'charset': ,
|
|
# 'scheme': ,
|
|
# 'outline': ,
|
|
# 'condense': ,
|
|
}
|
|
|
|
NAMED_COLORS = {
|
|
"maroon": "800000",
|
|
"brown": "A52A2A",
|
|
"red": "FF0000",
|
|
"pink": "FFC0CB",
|
|
"orange": "FFA500",
|
|
"yellow": "FFFF00",
|
|
"olive": "808000",
|
|
"green": "008000",
|
|
"purple": "800080",
|
|
"fuchsia": "FF00FF",
|
|
"lime": "00FF00",
|
|
"teal": "008080",
|
|
"aqua": "00FFFF",
|
|
"blue": "0000FF",
|
|
"navy": "000080",
|
|
"black": "000000",
|
|
"gray": "808080",
|
|
"grey": "808080",
|
|
"silver": "C0C0C0",
|
|
"white": "FFFFFF",
|
|
}
|
|
|
|
def color_to_excel(self, val: Optional[str]):
|
|
if val is None:
|
|
return None
|
|
if val.startswith("#") and len(val) == 7:
|
|
return val[1:].upper()
|
|
if val.startswith("#") and len(val) == 4:
|
|
return (val[1] * 2 + val[2] * 2 + val[3] * 2).upper()
|
|
try:
|
|
return self.NAMED_COLORS[val]
|
|
except KeyError:
|
|
warnings.warn(f"Unhandled color format: {repr(val)}", CSSWarning)
|
|
|
|
def build_number_format(self, props: Dict) -> Dict[str, Optional[str]]:
|
|
return {"format_code": props.get("number-format")}
|
|
|
|
|
|
class ExcelFormatter:
|
|
"""
|
|
Class for formatting a DataFrame to a list of ExcelCells,
|
|
|
|
Parameters
|
|
----------
|
|
df : DataFrame or Styler
|
|
na_rep: na representation
|
|
float_format : string, default None
|
|
Format string for floating point numbers
|
|
cols : sequence, optional
|
|
Columns to write
|
|
header : boolean or list of string, default True
|
|
Write out column names. If a list of string is given it is
|
|
assumed to be aliases for the column names
|
|
index : boolean, default True
|
|
output row names (index)
|
|
index_label : string or sequence, default None
|
|
Column label for index column(s) if desired. If None is given, and
|
|
`header` and `index` are True, then the index names are used. A
|
|
sequence should be given if the DataFrame uses MultiIndex.
|
|
merge_cells : boolean, default False
|
|
Format MultiIndex and Hierarchical Rows as merged cells.
|
|
inf_rep : string, default `'inf'`
|
|
representation for np.inf values (which aren't representable in Excel)
|
|
A `'-'` sign will be added in front of -inf.
|
|
style_converter : callable, optional
|
|
This translates Styler styles (CSS) into ExcelWriter styles.
|
|
Defaults to ``CSSToExcelConverter()``.
|
|
It should have signature css_declarations string -> excel style.
|
|
This is only called for body cells.
|
|
"""
|
|
|
|
max_rows = 2 ** 20
|
|
max_cols = 2 ** 14
|
|
|
|
def __init__(
|
|
self,
|
|
df,
|
|
na_rep: str = "",
|
|
float_format: Optional[str] = None,
|
|
cols: Optional[Sequence[Label]] = None,
|
|
header: Union[Sequence[Label], bool] = True,
|
|
index: bool = True,
|
|
index_label: Optional[Union[Label, Sequence[Label]]] = None,
|
|
merge_cells: bool = False,
|
|
inf_rep: str = "inf",
|
|
style_converter: Optional[Callable] = None,
|
|
):
|
|
self.rowcounter = 0
|
|
self.na_rep = na_rep
|
|
if not isinstance(df, DataFrame):
|
|
self.styler = df
|
|
df = df.data
|
|
if style_converter is None:
|
|
style_converter = CSSToExcelConverter()
|
|
self.style_converter = style_converter
|
|
else:
|
|
self.styler = None
|
|
self.df = df
|
|
if cols is not None:
|
|
|
|
# all missing, raise
|
|
if not len(Index(cols) & df.columns):
|
|
raise KeyError("passes columns are not ALL present dataframe")
|
|
|
|
if len(Index(cols) & df.columns) != len(cols):
|
|
# Deprecated in GH#17295, enforced in 1.0.0
|
|
raise KeyError("Not all names specified in 'columns' are found")
|
|
|
|
self.df = df.reindex(columns=cols)
|
|
|
|
self.columns = self.df.columns
|
|
self.float_format = float_format
|
|
self.index = index
|
|
self.index_label = index_label
|
|
self.header = header
|
|
self.merge_cells = merge_cells
|
|
self.inf_rep = inf_rep
|
|
|
|
@property
|
|
def header_style(self):
|
|
return {
|
|
"font": {"bold": True},
|
|
"borders": {
|
|
"top": "thin",
|
|
"right": "thin",
|
|
"bottom": "thin",
|
|
"left": "thin",
|
|
},
|
|
"alignment": {"horizontal": "center", "vertical": "top"},
|
|
}
|
|
|
|
def _format_value(self, val):
|
|
if is_scalar(val) and missing.isna(val):
|
|
val = self.na_rep
|
|
elif is_float(val):
|
|
if missing.isposinf_scalar(val):
|
|
val = self.inf_rep
|
|
elif missing.isneginf_scalar(val):
|
|
val = f"-{self.inf_rep}"
|
|
elif self.float_format is not None:
|
|
val = float(self.float_format % val)
|
|
if getattr(val, "tzinfo", None) is not None:
|
|
raise ValueError(
|
|
"Excel does not support datetimes with "
|
|
"timezones. Please ensure that datetimes "
|
|
"are timezone unaware before writing to Excel."
|
|
)
|
|
return val
|
|
|
|
def _format_header_mi(self):
|
|
if self.columns.nlevels > 1:
|
|
if not self.index:
|
|
raise NotImplementedError(
|
|
"Writing to Excel with MultiIndex columns and no "
|
|
"index ('index'=False) is not yet implemented."
|
|
)
|
|
|
|
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, ABCIndex))
|
|
if not (has_aliases or self.header):
|
|
return
|
|
|
|
columns = self.columns
|
|
level_strs = columns.format(
|
|
sparsify=self.merge_cells, adjoin=False, names=False
|
|
)
|
|
level_lengths = get_level_lengths(level_strs)
|
|
coloffset = 0
|
|
lnum = 0
|
|
|
|
if self.index and isinstance(self.df.index, MultiIndex):
|
|
coloffset = len(self.df.index[0]) - 1
|
|
|
|
if self.merge_cells:
|
|
# Format multi-index as a merged cells.
|
|
for lnum in range(len(level_lengths)):
|
|
name = columns.names[lnum]
|
|
yield ExcelCell(lnum, coloffset, name, self.header_style)
|
|
|
|
for lnum, (spans, levels, level_codes) in enumerate(
|
|
zip(level_lengths, columns.levels, columns.codes)
|
|
):
|
|
values = levels.take(level_codes)
|
|
for i in spans:
|
|
if spans[i] > 1:
|
|
yield ExcelCell(
|
|
lnum,
|
|
coloffset + i + 1,
|
|
values[i],
|
|
self.header_style,
|
|
lnum,
|
|
coloffset + i + spans[i],
|
|
)
|
|
else:
|
|
yield ExcelCell(
|
|
lnum, coloffset + i + 1, values[i], self.header_style
|
|
)
|
|
else:
|
|
# Format in legacy format with dots to indicate levels.
|
|
for i, values in enumerate(zip(*level_strs)):
|
|
v = ".".join(map(pprint_thing, values))
|
|
yield ExcelCell(lnum, coloffset + i + 1, v, self.header_style)
|
|
|
|
self.rowcounter = lnum
|
|
|
|
def _format_header_regular(self):
|
|
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, ABCIndex))
|
|
if has_aliases or self.header:
|
|
coloffset = 0
|
|
|
|
if self.index:
|
|
coloffset = 1
|
|
if isinstance(self.df.index, MultiIndex):
|
|
coloffset = len(self.df.index[0])
|
|
|
|
colnames = self.columns
|
|
if has_aliases:
|
|
if len(self.header) != len(self.columns):
|
|
raise ValueError(
|
|
f"Writing {len(self.columns)} cols but got {len(self.header)} "
|
|
"aliases"
|
|
)
|
|
else:
|
|
colnames = self.header
|
|
|
|
for colindex, colname in enumerate(colnames):
|
|
yield ExcelCell(
|
|
self.rowcounter, colindex + coloffset, colname, self.header_style
|
|
)
|
|
|
|
def _format_header(self):
|
|
if isinstance(self.columns, MultiIndex):
|
|
gen = self._format_header_mi()
|
|
else:
|
|
gen = self._format_header_regular()
|
|
|
|
gen2 = ()
|
|
if self.df.index.names:
|
|
row = [x if x is not None else "" for x in self.df.index.names] + [
|
|
""
|
|
] * len(self.columns)
|
|
if reduce(lambda x, y: x and y, map(lambda x: x != "", row)):
|
|
gen2 = (
|
|
ExcelCell(self.rowcounter, colindex, val, self.header_style)
|
|
for colindex, val in enumerate(row)
|
|
)
|
|
self.rowcounter += 1
|
|
return itertools.chain(gen, gen2)
|
|
|
|
def _format_body(self):
|
|
if isinstance(self.df.index, MultiIndex):
|
|
return self._format_hierarchical_rows()
|
|
else:
|
|
return self._format_regular_rows()
|
|
|
|
def _format_regular_rows(self):
|
|
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, ABCIndex))
|
|
if has_aliases or self.header:
|
|
self.rowcounter += 1
|
|
|
|
# output index and index_label?
|
|
if self.index:
|
|
# check aliases
|
|
# if list only take first as this is not a MultiIndex
|
|
if self.index_label and isinstance(
|
|
self.index_label, (list, tuple, np.ndarray, Index)
|
|
):
|
|
index_label = self.index_label[0]
|
|
# if string good to go
|
|
elif self.index_label and isinstance(self.index_label, str):
|
|
index_label = self.index_label
|
|
else:
|
|
index_label = self.df.index.names[0]
|
|
|
|
if isinstance(self.columns, MultiIndex):
|
|
self.rowcounter += 1
|
|
|
|
if index_label and self.header is not False:
|
|
yield ExcelCell(self.rowcounter - 1, 0, index_label, self.header_style)
|
|
|
|
# write index_values
|
|
index_values = self.df.index
|
|
if isinstance(self.df.index, PeriodIndex):
|
|
index_values = self.df.index.to_timestamp()
|
|
|
|
for idx, idxval in enumerate(index_values):
|
|
yield ExcelCell(self.rowcounter + idx, 0, idxval, self.header_style)
|
|
|
|
coloffset = 1
|
|
else:
|
|
coloffset = 0
|
|
|
|
for cell in self._generate_body(coloffset):
|
|
yield cell
|
|
|
|
def _format_hierarchical_rows(self):
|
|
has_aliases = isinstance(self.header, (tuple, list, np.ndarray, ABCIndex))
|
|
if has_aliases or self.header:
|
|
self.rowcounter += 1
|
|
|
|
gcolidx = 0
|
|
|
|
if self.index:
|
|
index_labels = self.df.index.names
|
|
# check for aliases
|
|
if self.index_label and isinstance(
|
|
self.index_label, (list, tuple, np.ndarray, Index)
|
|
):
|
|
index_labels = self.index_label
|
|
|
|
# MultiIndex columns require an extra row
|
|
# with index names (blank if None) for
|
|
# unambiguous round-trip, unless not merging,
|
|
# in which case the names all go on one row Issue #11328
|
|
if isinstance(self.columns, MultiIndex) and self.merge_cells:
|
|
self.rowcounter += 1
|
|
|
|
# if index labels are not empty go ahead and dump
|
|
if com.any_not_none(*index_labels) and self.header is not False:
|
|
|
|
for cidx, name in enumerate(index_labels):
|
|
yield ExcelCell(self.rowcounter - 1, cidx, name, self.header_style)
|
|
|
|
if self.merge_cells:
|
|
# Format hierarchical rows as merged cells.
|
|
level_strs = self.df.index.format(
|
|
sparsify=True, adjoin=False, names=False
|
|
)
|
|
level_lengths = get_level_lengths(level_strs)
|
|
|
|
for spans, levels, level_codes in zip(
|
|
level_lengths, self.df.index.levels, self.df.index.codes
|
|
):
|
|
|
|
values = levels.take(
|
|
level_codes, allow_fill=levels._can_hold_na, fill_value=True
|
|
)
|
|
|
|
for i in spans:
|
|
if spans[i] > 1:
|
|
yield ExcelCell(
|
|
self.rowcounter + i,
|
|
gcolidx,
|
|
values[i],
|
|
self.header_style,
|
|
self.rowcounter + i + spans[i] - 1,
|
|
gcolidx,
|
|
)
|
|
else:
|
|
yield ExcelCell(
|
|
self.rowcounter + i,
|
|
gcolidx,
|
|
values[i],
|
|
self.header_style,
|
|
)
|
|
gcolidx += 1
|
|
|
|
else:
|
|
# Format hierarchical rows with non-merged values.
|
|
for indexcolvals in zip(*self.df.index):
|
|
for idx, indexcolval in enumerate(indexcolvals):
|
|
yield ExcelCell(
|
|
self.rowcounter + idx,
|
|
gcolidx,
|
|
indexcolval,
|
|
self.header_style,
|
|
)
|
|
gcolidx += 1
|
|
|
|
for cell in self._generate_body(gcolidx):
|
|
yield cell
|
|
|
|
def _generate_body(self, coloffset: int):
|
|
if self.styler is None:
|
|
styles = None
|
|
else:
|
|
styles = self.styler._compute().ctx
|
|
if not styles:
|
|
styles = None
|
|
xlstyle = None
|
|
|
|
# Write the body of the frame data series by series.
|
|
for colidx in range(len(self.columns)):
|
|
series = self.df.iloc[:, colidx]
|
|
for i, val in enumerate(series):
|
|
if styles is not None:
|
|
xlstyle = self.style_converter(";".join(styles[i, colidx]))
|
|
yield ExcelCell(self.rowcounter + i, colidx + coloffset, val, xlstyle)
|
|
|
|
def get_formatted_cells(self):
|
|
for cell in itertools.chain(self._format_header(), self._format_body()):
|
|
cell.val = self._format_value(cell.val)
|
|
yield cell
|
|
|
|
def write(
|
|
self,
|
|
writer,
|
|
sheet_name="Sheet1",
|
|
startrow=0,
|
|
startcol=0,
|
|
freeze_panes=None,
|
|
engine=None,
|
|
):
|
|
"""
|
|
writer : string or ExcelWriter object
|
|
File path or existing ExcelWriter
|
|
sheet_name : string, default 'Sheet1'
|
|
Name of sheet which will contain DataFrame
|
|
startrow :
|
|
upper left cell row to dump data frame
|
|
startcol :
|
|
upper left cell column to dump data frame
|
|
freeze_panes : tuple of integer (length 2), default None
|
|
Specifies the one-based bottommost row and rightmost column that
|
|
is to be frozen
|
|
engine : string, default None
|
|
write engine to use if writer is a path - you can also set this
|
|
via the options ``io.excel.xlsx.writer``, ``io.excel.xls.writer``,
|
|
and ``io.excel.xlsm.writer``.
|
|
"""
|
|
from pandas.io.excel import ExcelWriter
|
|
|
|
num_rows, num_cols = self.df.shape
|
|
if num_rows > self.max_rows or num_cols > self.max_cols:
|
|
raise ValueError(
|
|
f"This sheet is too large! Your sheet size is: {num_rows}, {num_cols} "
|
|
f"Max sheet size is: {self.max_rows}, {self.max_cols}"
|
|
)
|
|
|
|
if isinstance(writer, ExcelWriter):
|
|
need_save = False
|
|
else:
|
|
writer = ExcelWriter(stringify_path(writer), engine=engine)
|
|
need_save = True
|
|
|
|
formatted_cells = self.get_formatted_cells()
|
|
writer.write_cells(
|
|
formatted_cells,
|
|
sheet_name,
|
|
startrow=startrow,
|
|
startcol=startcol,
|
|
freeze_panes=freeze_panes,
|
|
)
|
|
if need_save:
|
|
writer.save()
|