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8th day of python challenges 111-117

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This commit is contained in:
abd.shallal
2019-08-04 15:26:35 +03:00
parent b04c1b055f
commit 627802c383
3215 changed files with 760227 additions and 491 deletions
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0
venv/lib/python3.6/site-packages/pandas/io/formats/__init__.py Normal file
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venv/lib/python3.6/site-packages/pandas/io/formats/console.py Normal file
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"""
Internal module for console introspection
"""
from shutil import get_terminal_size
def get_console_size():
"""Return console size as tuple = (width, height).
Returns (None,None) in non-interactive session.
"""
from pandas import get_option
display_width = get_option("display.width")
# deprecated.
display_height = get_option("display.max_rows")
# Consider
# interactive shell terminal, can detect term size
# interactive non-shell terminal (ipnb/ipqtconsole), cannot detect term
# size non-interactive script, should disregard term size
# in addition
# width,height have default values, but setting to 'None' signals
# should use Auto-Detection, But only in interactive shell-terminal.
# Simple. yeah.
if in_interactive_session():
if in_ipython_frontend():
# sane defaults for interactive non-shell terminal
# match default for width,height in config_init
from pandas._config.config import get_default_val
terminal_width = get_default_val("display.width")
terminal_height = get_default_val("display.max_rows")
else:
# pure terminal
terminal_width, terminal_height = get_terminal_size()
else:
terminal_width, terminal_height = None, None
# Note if the User sets width/Height to None (auto-detection)
# and we're in a script (non-inter), this will return (None,None)
# caller needs to deal.
return (display_width or terminal_width, display_height or terminal_height)
# ----------------------------------------------------------------------
# Detect our environment
def in_interactive_session():
""" check if we're running in an interactive shell
returns True if running under python/ipython interactive shell
"""
from pandas import get_option
def check_main():
try:
import __main__ as main
except ModuleNotFoundError:
return get_option("mode.sim_interactive")
return not hasattr(main, "__file__") or get_option("mode.sim_interactive")
try:
return __IPYTHON__ or check_main() # noqa
except NameError:
return check_main()
def in_ipython_frontend():
"""
check if we're inside an an IPython zmq frontend
"""
try:
ip = get_ipython() # noqa
return "zmq" in str(type(ip)).lower()
except NameError:
pass
return False

257
venv/lib/python3.6/site-packages/pandas/io/formats/css.py Normal file
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"""Utilities for interpreting CSS from Stylers for formatting non-HTML outputs
"""
import re
import warnings
class CSSWarning(UserWarning):
"""This CSS syntax cannot currently be parsed"""
pass
class CSSResolver:
"""A callable for parsing and resolving CSS to atomic properties
"""
def __call__(self, declarations_str, inherited=None):
""" the given declarations to atomic properties
Parameters
----------
declarations_str : str
A list of CSS declarations
inherited : dict, optional
Atomic properties indicating the inherited style context in which
declarations_str is to be resolved. ``inherited`` should already
be resolved, i.e. valid output of this method.
Returns
-------
props : dict
Atomic CSS 2.2 properties
Examples
--------
>>> resolve = CSSResolver()
>>> inherited = {'font-family': 'serif', 'font-weight': 'bold'}
>>> out = resolve('''
... border-color: BLUE RED;
... font-size: 1em;
... font-size: 2em;
... font-weight: normal;
... font-weight: inherit;
... ''', inherited)
>>> sorted(out.items()) # doctest: +NORMALIZE_WHITESPACE
[('border-bottom-color', 'blue'),
('border-left-color', 'red'),
('border-right-color', 'red'),
('border-top-color', 'blue'),
('font-family', 'serif'),
('font-size', '24pt'),
('font-weight', 'bold')]
"""
props = dict(self.atomize(self.parse(declarations_str)))
if inherited is None:
inherited = {}
# 1. resolve inherited, initial
for prop, val in inherited.items():
if prop not in props:
props[prop] = val
for prop, val in list(props.items()):
if val == "inherit":
val = inherited.get(prop, "initial")
if val == "initial":
val = None
if val is None:
# we do not define a complete initial stylesheet
del props[prop]
else:
props[prop] = val
# 2. resolve relative font size
if props.get("font-size"):
if "font-size" in inherited:
em_pt = inherited["font-size"]
assert em_pt[-2:] == "pt"
em_pt = float(em_pt[:-2])
else:
em_pt = None
props["font-size"] = self.size_to_pt(
props["font-size"], em_pt, conversions=self.FONT_SIZE_RATIOS
)
font_size = float(props["font-size"][:-2])
else:
font_size = None
# 3. TODO: resolve other font-relative units
for side in self.SIDES:
prop = "border-{side}-width".format(side=side)
if prop in props:
props[prop] = self.size_to_pt(
props[prop], em_pt=font_size, conversions=self.BORDER_WIDTH_RATIOS
)
for prop in [
"margin-{side}".format(side=side),
"padding-{side}".format(side=side),
]:
if prop in props:
# TODO: support %
props[prop] = self.size_to_pt(
props[prop], em_pt=font_size, conversions=self.MARGIN_RATIOS
)
return props
UNIT_RATIOS = {
"rem": ("pt", 12),
"ex": ("em", 0.5),
# 'ch':
"px": ("pt", 0.75),
"pc": ("pt", 12),
"in": ("pt", 72),
"cm": ("in", 1 / 2.54),
"mm": ("in", 1 / 25.4),
"q": ("mm", 0.25),
"!!default": ("em", 0),
}
FONT_SIZE_RATIOS = UNIT_RATIOS.copy()
FONT_SIZE_RATIOS.update(
{
"%": ("em", 0.01),
"xx-small": ("rem", 0.5),
"x-small": ("rem", 0.625),
"small": ("rem", 0.8),
"medium": ("rem", 1),
"large": ("rem", 1.125),
"x-large": ("rem", 1.5),
"xx-large": ("rem", 2),
"smaller": ("em", 1 / 1.2),
"larger": ("em", 1.2),
"!!default": ("em", 1),
}
)
MARGIN_RATIOS = UNIT_RATIOS.copy()
MARGIN_RATIOS.update({"none": ("pt", 0)})
BORDER_WIDTH_RATIOS = UNIT_RATIOS.copy()
BORDER_WIDTH_RATIOS.update(
{
"none": ("pt", 0),
"thick": ("px", 4),
"medium": ("px", 2),
"thin": ("px", 1),
# Default: medium only if solid
}
)
def size_to_pt(self, in_val, em_pt=None, conversions=UNIT_RATIOS):
def _error():
warnings.warn("Unhandled size: {val!r}".format(val=in_val), CSSWarning)
return self.size_to_pt("1!!default", conversions=conversions)
try:
val, unit = re.match(r"^(\S*?)([a-zA-Z%!].*)", in_val).groups()
except AttributeError:
return _error()
if val == "":
# hack for 'large' etc.
val = 1
else:
try:
val = float(val)
except ValueError:
return _error()
while unit != "pt":
if unit == "em":
if em_pt is None:
unit = "rem"
else:
val *= em_pt
unit = "pt"
continue
try:
unit, mul = conversions[unit]
except KeyError:
return _error()
val *= mul
val = round(val, 5)
if int(val) == val:
size_fmt = "{fmt:d}pt".format(fmt=int(val))
else:
size_fmt = "{fmt:f}pt".format(fmt=val)
return size_fmt
def atomize(self, declarations):
for prop, value in declarations:
attr = "expand_" + prop.replace("-", "_")
try:
expand = getattr(self, attr)
except AttributeError:
yield prop, value
else:
for prop, value in expand(prop, value):
yield prop, value
SIDE_SHORTHANDS = {
1: [0, 0, 0, 0],
2: [0, 1, 0, 1],
3: [0, 1, 2, 1],
4: [0, 1, 2, 3],
}
SIDES = ("top", "right", "bottom", "left")
def _side_expander(prop_fmt):
def expand(self, prop, value):
tokens = value.split()
try:
mapping = self.SIDE_SHORTHANDS[len(tokens)]
except KeyError:
warnings.warn(
'Could not expand "{prop}: {val}"'.format(prop=prop, val=value),
CSSWarning,
)
return
for key, idx in zip(self.SIDES, mapping):
yield prop_fmt.format(key), tokens[idx]
return expand
expand_border_color = _side_expander("border-{:s}-color")
expand_border_style = _side_expander("border-{:s}-style")
expand_border_width = _side_expander("border-{:s}-width")
expand_margin = _side_expander("margin-{:s}")
expand_padding = _side_expander("padding-{:s}")
def parse(self, declarations_str):
"""Generates (prop, value) pairs from declarations
In a future version may generate parsed tokens from tinycss/tinycss2
"""
for decl in declarations_str.split(";"):
if not decl.strip():
continue
prop, sep, val = decl.partition(":")
prop = prop.strip().lower()
# TODO: don't lowercase case sensitive parts of values (strings)
val = val.strip().lower()
if sep:
yield prop, val
else:
warnings.warn(
"Ill-formatted attribute: expected a colon "
"in {decl!r}".format(decl=decl),
CSSWarning,
)

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venv/lib/python3.6/site-packages/pandas/io/formats/csvs.py Normal file
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"""
Module for formatting output data into CSV files.
"""
import csv as csvlib
from io import StringIO
import os
import warnings
from zipfile import ZipFile
import numpy as np
from pandas._libs import writers as libwriters
from pandas.core.dtypes.generic import (
ABCDatetimeIndex,
ABCIndexClass,
ABCMultiIndex,
ABCPeriodIndex,
)
from pandas.core.dtypes.missing import notna
from pandas.io.common import (
UnicodeWriter,
_get_handle,
_infer_compression,
get_filepath_or_buffer,
)
class CSVFormatter:
def __init__(
self,
obj,
path_or_buf=None,
sep=",",
na_rep="",
float_format=None,
cols=None,
header=True,
index=True,
index_label=None,
mode="w",
encoding=None,
compression="infer",
quoting=None,
line_terminator="\n",
chunksize=None,
quotechar='"',
date_format=None,
doublequote=True,
escapechar=None,
decimal=".",
):
self.obj = obj
if path_or_buf is None:
path_or_buf = StringIO()
self.path_or_buf, _, _, _ = get_filepath_or_buffer(
path_or_buf, encoding=encoding, compression=compression, mode=mode
)
self.sep = sep
self.na_rep = na_rep
self.float_format = float_format
self.decimal = decimal
self.header = header
self.index = index
self.index_label = index_label
self.mode = mode
if encoding is None:
encoding = "utf-8"
self.encoding = encoding
self.compression = _infer_compression(self.path_or_buf, compression)
if quoting is None:
quoting = csvlib.QUOTE_MINIMAL
self.quoting = quoting
if quoting == csvlib.QUOTE_NONE:
# prevents crash in _csv
quotechar = None
self.quotechar = quotechar
self.doublequote = doublequote
self.escapechar = escapechar
self.line_terminator = line_terminator or os.linesep
self.date_format = date_format
self.has_mi_columns = isinstance(obj.columns, ABCMultiIndex)
# validate mi options
if self.has_mi_columns:
if cols is not None:
raise TypeError(
"cannot specify cols with a MultiIndex on the " "columns"
)
if cols is not None:
if isinstance(cols, ABCIndexClass):
cols = cols.to_native_types(
na_rep=na_rep,
float_format=float_format,
date_format=date_format,
quoting=self.quoting,
)
else:
cols = list(cols)
self.obj = self.obj.loc[:, cols]
# update columns to include possible multiplicity of dupes
# and make sure sure cols is just a list of labels
cols = self.obj.columns
if isinstance(cols, ABCIndexClass):
cols = cols.to_native_types(
na_rep=na_rep,
float_format=float_format,
date_format=date_format,
quoting=self.quoting,
)
else:
cols = list(cols)
# save it
self.cols = cols
# preallocate data 2d list
self.blocks = self.obj._data.blocks
ncols = sum(b.shape[0] for b in self.blocks)
self.data = [None] * ncols
if chunksize is None:
chunksize = (100000 // (len(self.cols) or 1)) or 1
self.chunksize = int(chunksize)
self.data_index = obj.index
if (
isinstance(self.data_index, (ABCDatetimeIndex, ABCPeriodIndex))
and date_format is not None
):
from pandas import Index
self.data_index = Index(
[x.strftime(date_format) if notna(x) else "" for x in self.data_index]
)
self.nlevels = getattr(self.data_index, "nlevels", 1)
if not index:
self.nlevels = 0
def save(self):
"""
Create the writer & save
"""
# GH21227 internal compression is not used when file-like passed.
if self.compression and hasattr(self.path_or_buf, "write"):
msg = "compression has no effect when passing file-like " "object as input."
warnings.warn(msg, RuntimeWarning, stacklevel=2)
# when zip compression is called.
is_zip = isinstance(self.path_or_buf, ZipFile) or (
not hasattr(self.path_or_buf, "write") and self.compression == "zip"
)
if is_zip:
# zipfile doesn't support writing string to archive. uses string
# buffer to receive csv writing and dump into zip compression
# file handle. GH21241, GH21118
f = StringIO()
close = False
elif hasattr(self.path_or_buf, "write"):
f = self.path_or_buf
close = False
else:
f, handles = _get_handle(
self.path_or_buf,
self.mode,
encoding=self.encoding,
compression=self.compression,
)
close = True
try:
writer_kwargs = dict(
lineterminator=self.line_terminator,
delimiter=self.sep,
quoting=self.quoting,
doublequote=self.doublequote,
escapechar=self.escapechar,
quotechar=self.quotechar,
)
if self.encoding == "ascii":
self.writer = csvlib.writer(f, **writer_kwargs)
else:
writer_kwargs["encoding"] = self.encoding
self.writer = UnicodeWriter(f, **writer_kwargs)
self._save()
finally:
if is_zip:
# GH17778 handles zip compression separately.
buf = f.getvalue()
if hasattr(self.path_or_buf, "write"):
self.path_or_buf.write(buf)
else:
f, handles = _get_handle(
self.path_or_buf,
self.mode,
encoding=self.encoding,
compression=self.compression,
)
f.write(buf)
close = True
if close:
f.close()
for _fh in handles:
_fh.close()
def _save_header(self):
writer = self.writer
obj = self.obj
index_label = self.index_label
cols = self.cols
has_mi_columns = self.has_mi_columns
header = self.header
encoded_labels = []
has_aliases = isinstance(header, (tuple, list, np.ndarray, ABCIndexClass))
if not (has_aliases or self.header):
return
if has_aliases:
if len(header) != len(cols):
raise ValueError(
(
"Writing {ncols} cols but got {nalias} "
"aliases".format(ncols=len(cols), nalias=len(header))
)
)
else:
write_cols = header
else:
write_cols = cols
if self.index:
# should write something for index label
if index_label is not False:
if index_label is None:
if isinstance(obj.index, ABCMultiIndex):
index_label = []
for i, name in enumerate(obj.index.names):
if name is None:
name = ""
index_label.append(name)
else:
index_label = obj.index.name
if index_label is None:
index_label = [""]
else:
index_label = [index_label]
elif not isinstance(
index_label, (list, tuple, np.ndarray, ABCIndexClass)
):
# given a string for a DF with Index
index_label = [index_label]
encoded_labels = list(index_label)
else:
encoded_labels = []
if not has_mi_columns or has_aliases:
encoded_labels += list(write_cols)
writer.writerow(encoded_labels)
else:
# write out the mi
columns = obj.columns
# write out the names for each level, then ALL of the values for
# each level
for i in range(columns.nlevels):
# we need at least 1 index column to write our col names
col_line = []
if self.index:
# name is the first column
col_line.append(columns.names[i])
if isinstance(index_label, list) and len(index_label) > 1:
col_line.extend([""] * (len(index_label) - 1))
col_line.extend(columns._get_level_values(i))
writer.writerow(col_line)
# Write out the index line if it's not empty.
# Otherwise, we will print out an extraneous
# blank line between the mi and the data rows.
if encoded_labels and set(encoded_labels) != {""}:
encoded_labels.extend([""] * len(columns))
writer.writerow(encoded_labels)
def _save(self):
self._save_header()
nrows = len(self.data_index)
# write in chunksize bites
chunksize = self.chunksize
chunks = int(nrows / chunksize) + 1
for i in range(chunks):
start_i = i * chunksize
end_i = min((i + 1) * chunksize, nrows)
if start_i >= end_i:
break
self._save_chunk(start_i, end_i)
def _save_chunk(self, start_i, end_i):
data_index = self.data_index
# create the data for a chunk
slicer = slice(start_i, end_i)
for i in range(len(self.blocks)):
b = self.blocks[i]
d = b.to_native_types(
slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting,
)
for col_loc, col in zip(b.mgr_locs, d):
# self.data is a preallocated list
self.data[col_loc] = col
ix = data_index.to_native_types(
slicer=slicer,
na_rep=self.na_rep,
float_format=self.float_format,
decimal=self.decimal,
date_format=self.date_format,
quoting=self.quoting,
)
libwriters.write_csv_rows(self.data, ix, self.nlevels, self.cols, self.writer)

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venv/lib/python3.6/site-packages/pandas/io/formats/excel.py Normal file
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"""Utilities for conversion to writer-agnostic Excel representation
"""
from functools import reduce
import itertools
import re
import warnings
import numpy as np
from pandas.core.dtypes import missing
from pandas.core.dtypes.common import is_float, is_scalar
from pandas.core.dtypes.generic import ABCMultiIndex, ABCPeriodIndex
from pandas import Index
import pandas.core.common as com
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, col, 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=None):
if inherited is not None:
inherited = self.compute_css(inherited)
self.inherited = inherited
compute_css = CSSResolver()
def __call__(self, declarations_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):
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):
"""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):
# 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):
return {
side: {
"style": self._border_style(
props.get("border-{side}-style".format(side=side)),
props.get("border-{side}-width".format(side=side)),
),
"color": self.color_to_excel(
props.get("border-{side}-color".format(side=side))
),
}
for side in ["top", "right", "bottom", "left"]
}
def _border_style(self, style, 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):
# 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):
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
),
# '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):
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("Unhandled color format: {val!r}".format(val=val), CSSWarning)
def build_number_format(self, props):
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="",
float_format=None,
cols=None,
header=True,
index=True,
index_label=None,
merge_cells=False,
inf_rep="inf",
style_converter=None,
):
self.rowcounter = 0
self.na_rep = na_rep
if hasattr(df, "render"):
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")
# deprecatedin gh-17295
# 1 missing is ok (for now)
if len(Index(cols) & df.columns) != len(cols):
warnings.warn(
"Not all names specified in 'columns' are found; "
"this will raise a KeyError in the future",
FutureWarning,
)
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 = "-{inf}".format(inf=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, Index))
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, ABCMultiIndex):
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, Index))
if has_aliases or self.header:
coloffset = 0
if self.index:
coloffset = 1
if isinstance(self.df.index, ABCMultiIndex):
coloffset = len(self.df.index[0])
colnames = self.columns
if has_aliases:
if len(self.header) != len(self.columns):
raise ValueError(
"Writing {cols} cols but got {alias} "
"aliases".format(cols=len(self.columns), alias=len(self.header))
)
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, ABCMultiIndex):
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, ABCMultiIndex):
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, Index))
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, ABCMultiIndex):
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, ABCPeriodIndex):
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, Index))
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, ABCMultiIndex) 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):
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
from pandas.io.common import _stringify_path
num_rows, num_cols = self.df.shape
if num_rows > self.max_rows or num_cols > self.max_cols:
raise ValueError(
"This sheet is too large! Your sheet size is: "
+ "{}, {} ".format(num_rows, num_cols)
+ "Max sheet size is: {}, {}".format(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()

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"""
Module for formatting output data in HTML.
"""
from collections import OrderedDict
from textwrap import dedent
from typing import Dict, List, Optional, Tuple, Union
from pandas._config import get_option
from pandas.core.dtypes.generic import ABCIndex, ABCMultiIndex
from pandas import option_context
from pandas.io.common import _is_url
from pandas.io.formats.format import (
DataFrameFormatter,
TableFormatter,
get_level_lengths,
)
from pandas.io.formats.printing import pprint_thing
class HTMLFormatter(TableFormatter):
"""
Internal class for formatting output data in html.
This class is intended for shared functionality between
DataFrame.to_html() and DataFrame._repr_html_().
Any logic in common with other output formatting methods
should ideally be inherited from classes in format.py
and this class responsible for only producing html markup.
"""
indent_delta = 2
def __init__(
self,
formatter: DataFrameFormatter,
classes: Optional[Union[str, List, Tuple]] = None,
border: Optional[bool] = None,
) -> None:
self.fmt = formatter
self.classes = classes
self.frame = self.fmt.frame
self.columns = self.fmt.tr_frame.columns
self.elements = [] # type: List[str]
self.bold_rows = self.fmt.kwds.get("bold_rows", False)
self.escape = self.fmt.kwds.get("escape", True)
self.show_dimensions = self.fmt.show_dimensions
if border is None:
border = get_option("display.html.border")
self.border = border
self.table_id = self.fmt.table_id
self.render_links = self.fmt.render_links
if isinstance(self.fmt.col_space, int):
self.fmt.col_space = "{colspace}px".format(colspace=self.fmt.col_space)
@property
def show_row_idx_names(self) -> bool:
return self.fmt.show_row_idx_names
@property
def show_col_idx_names(self) -> bool:
return self.fmt.show_col_idx_names
@property
def row_levels(self) -> int:
if self.fmt.index:
# showing (row) index
return self.frame.index.nlevels
elif self.show_col_idx_names:
# see gh-22579
# Column misalignment also occurs for
# a standard index when the columns index is named.
# If the row index is not displayed a column of
# blank cells need to be included before the DataFrame values.
return 1
# not showing (row) index
return 0
def _get_columns_formatted_values(self) -> ABCIndex:
return self.columns
@property
def is_truncated(self) -> bool:
return self.fmt.is_truncated
@property
def ncols(self) -> int:
return len(self.fmt.tr_frame.columns)
def write(self, s: str, indent: int = 0) -> None:
rs = pprint_thing(s)
self.elements.append(" " * indent + rs)
def write_th(
self, s: str, header: bool = False, indent: int = 0, tags: Optional[str] = None
) -> None:
"""
Method for writting a formatted <th> cell.
If col_space is set on the formatter then that is used for
the value of min-width.
Parameters
----------
s : object
The data to be written inside the cell.
header : boolean, default False
Set to True if the <th> is for use inside <thead>. This will
cause min-width to be set if there is one.
indent : int, default 0
The indentation level of the cell.
tags : string, default None
Tags to include in the cell.
Returns
-------
A written <th> cell.
"""
if header and self.fmt.col_space is not None:
tags = tags or ""
tags += 'style="min-width: {colspace};"'.format(colspace=self.fmt.col_space)
self._write_cell(s, kind="th", indent=indent, tags=tags)
def write_td(self, s: str, indent: int = 0, tags: Optional[str] = None) -> None:
self._write_cell(s, kind="td", indent=indent, tags=tags)
def _write_cell(
self, s: str, kind: str = "td", indent: int = 0, tags: Optional[str] = None
) -> None:
if tags is not None:
start_tag = "<{kind} {tags}>".format(kind=kind, tags=tags)
else:
start_tag = "<{kind}>".format(kind=kind)
if self.escape:
# escape & first to prevent double escaping of &
esc = OrderedDict(
[("&", r"&amp;"), ("<", r"&lt;"), (">", r"&gt;")]
) # type: Union[OrderedDict[str, str], Dict]
else:
esc = {}
rs = pprint_thing(s, escape_chars=esc).strip()
if self.render_links and _is_url(rs):
rs_unescaped = pprint_thing(s, escape_chars={}).strip()
start_tag += '<a href="{url}" target="_blank">'.format(url=rs_unescaped)
end_a = "</a>"
else:
end_a = ""
self.write(
"{start}{rs}{end_a}</{kind}>".format(
start=start_tag, rs=rs, end_a=end_a, kind=kind
),
indent,
)
def write_tr(
self,
line: List[str],
indent: int = 0,
indent_delta: int = 0,
header: bool = False,
align: Optional[str] = None,
tags: Optional[Dict[int, str]] = None,
nindex_levels: int = 0,
) -> None:
if tags is None:
tags = {}
if align is None:
self.write("<tr>", indent)
else:
self.write('<tr style="text-align: {align};">'.format(align=align), indent)
indent += indent_delta
for i, s in enumerate(line):
val_tag = tags.get(i, None)
if header or (self.bold_rows and i < nindex_levels):
self.write_th(s, indent=indent, header=header, tags=val_tag)
else:
self.write_td(s, indent, tags=val_tag)
indent -= indent_delta
self.write("</tr>", indent)
def render(self) -> List[str]:
self._write_table()
if self.should_show_dimensions:
by = chr(215) # ×
self.write(
"<p>{rows} rows {by} {cols} columns</p>".format(
rows=len(self.frame), by=by, cols=len(self.frame.columns)
)
)
return self.elements
def _write_table(self, indent: int = 0) -> None:
_classes = ["dataframe"] # Default class.
use_mathjax = get_option("display.html.use_mathjax")
if not use_mathjax:
_classes.append("tex2jax_ignore")
if self.classes is not None:
if isinstance(self.classes, str):
self.classes = self.classes.split()
if not isinstance(self.classes, (list, tuple)):
raise TypeError(
"classes must be a string, list, or tuple, "
"not {typ}".format(typ=type(self.classes))
)
_classes.extend(self.classes)
if self.table_id is None:
id_section = ""
else:
id_section = ' id="{table_id}"'.format(table_id=self.table_id)
self.write(
'<table border="{border}" class="{cls}"{id_section}>'.format(
border=self.border, cls=" ".join(_classes), id_section=id_section
),
indent,
)
if self.fmt.header or self.show_row_idx_names:
self._write_header(indent + self.indent_delta)
self._write_body(indent + self.indent_delta)
self.write("</table>", indent)
def _write_col_header(self, indent: int) -> None:
truncate_h = self.fmt.truncate_h
if isinstance(self.columns, ABCMultiIndex):
template = 'colspan="{span:d}" halign="left"'
if self.fmt.sparsify:
# GH3547
sentinel = object()
else:
sentinel = False
levels = self.columns.format(sparsify=sentinel, adjoin=False, names=False)
level_lengths = get_level_lengths(levels, sentinel)
inner_lvl = len(level_lengths) - 1
for lnum, (records, values) in enumerate(zip(level_lengths, levels)):
if truncate_h:
# modify the header lines
ins_col = self.fmt.tr_col_num
if self.fmt.sparsify:
recs_new = {}
# Increment tags after ... col.
for tag, span in list(records.items()):
if tag >= ins_col:
recs_new[tag + 1] = span
elif tag + span > ins_col:
recs_new[tag] = span + 1
if lnum == inner_lvl:
values = (
values[:ins_col] + ("...",) + values[ins_col:]
)
else:
# sparse col headers do not receive a ...
values = (
values[:ins_col]
+ (values[ins_col - 1],)
+ values[ins_col:]
)
else:
recs_new[tag] = span
# if ins_col lies between tags, all col headers
# get ...
if tag + span == ins_col:
recs_new[ins_col] = 1
values = values[:ins_col] + ("...",) + values[ins_col:]
records = recs_new
inner_lvl = len(level_lengths) - 1
if lnum == inner_lvl:
records[ins_col] = 1
else:
recs_new = {}
for tag, span in list(records.items()):
if tag >= ins_col:
recs_new[tag + 1] = span
else:
recs_new[tag] = span
recs_new[ins_col] = 1
records = recs_new
values = values[:ins_col] + ["..."] + values[ins_col:]
# see gh-22579
# Column Offset Bug with to_html(index=False) with
# MultiIndex Columns and Index.
# Initially fill row with blank cells before column names.
# TODO: Refactor to remove code duplication with code
# block below for standard columns index.
row = [""] * (self.row_levels - 1)
if self.fmt.index or self.show_col_idx_names:
# see gh-22747
# If to_html(index_names=False) do not show columns
# index names.
# TODO: Refactor to use _get_column_name_list from
# DataFrameFormatter class and create a
# _get_formatted_column_labels function for code
# parity with DataFrameFormatter class.
if self.fmt.show_index_names:
name = self.columns.names[lnum]
row.append(pprint_thing(name or ""))
else:
row.append("")
tags = {}
j = len(row)
for i, v in enumerate(values):
if i in records:
if records[i] > 1:
tags[j] = template.format(span=records[i])
else:
continue
j += 1
row.append(v)
self.write_tr(row, indent, self.indent_delta, tags=tags, header=True)
else:
# see gh-22579
# Column misalignment also occurs for
# a standard index when the columns index is named.
# Initially fill row with blank cells before column names.
# TODO: Refactor to remove code duplication with code block
# above for columns MultiIndex.
row = [""] * (self.row_levels - 1)
if self.fmt.index or self.show_col_idx_names:
# see gh-22747
# If to_html(index_names=False) do not show columns
# index names.
# TODO: Refactor to use _get_column_name_list from
# DataFrameFormatter class.
if self.fmt.show_index_names:
row.append(self.columns.name or "")
else:
row.append("")
row.extend(self._get_columns_formatted_values())
align = self.fmt.justify
if truncate_h:
ins_col = self.row_levels + self.fmt.tr_col_num
row.insert(ins_col, "...")
self.write_tr(row, indent, self.indent_delta, header=True, align=align)
def _write_row_header(self, indent: int) -> None:
truncate_h = self.fmt.truncate_h
row = [x if x is not None else "" for x in self.frame.index.names] + [""] * (
self.ncols + (1 if truncate_h else 0)
)
self.write_tr(row, indent, self.indent_delta, header=True)
def _write_header(self, indent: int) -> None:
self.write("<thead>", indent)
if self.fmt.header:
self._write_col_header(indent + self.indent_delta)
if self.show_row_idx_names:
self._write_row_header(indent + self.indent_delta)
self.write("</thead>", indent)
def _get_formatted_values(self) -> Dict[int, List[str]]:
with option_context("display.max_colwidth", 999999):
fmt_values = {i: self.fmt._format_col(i) for i in range(self.ncols)}
return fmt_values
def _write_body(self, indent: int) -> None:
self.write("<tbody>", indent)
fmt_values = self._get_formatted_values()
# write values
if self.fmt.index and isinstance(self.frame.index, ABCMultiIndex):
self._write_hierarchical_rows(fmt_values, indent + self.indent_delta)
else:
self._write_regular_rows(fmt_values, indent + self.indent_delta)
self.write("</tbody>", indent)
def _write_regular_rows(
self, fmt_values: Dict[int, List[str]], indent: int
) -> None:
truncate_h = self.fmt.truncate_h
truncate_v = self.fmt.truncate_v
nrows = len(self.fmt.tr_frame)
if self.fmt.index:
fmt = self.fmt._get_formatter("__index__")
if fmt is not None:
index_values = self.fmt.tr_frame.index.map(fmt)
else:
index_values = self.fmt.tr_frame.index.format()
row = [] # type: List[str]
for i in range(nrows):
if truncate_v and i == (self.fmt.tr_row_num):
str_sep_row = ["..."] * len(row)
self.write_tr(
str_sep_row,
indent,
self.indent_delta,
tags=None,
nindex_levels=self.row_levels,
)
row = []
if self.fmt.index:
row.append(index_values[i])
# see gh-22579
# Column misalignment also occurs for
# a standard index when the columns index is named.
# Add blank cell before data cells.
elif self.show_col_idx_names:
row.append("")
row.extend(fmt_values[j][i] for j in range(self.ncols))
if truncate_h:
dot_col_ix = self.fmt.tr_col_num + self.row_levels
row.insert(dot_col_ix, "...")
self.write_tr(
row, indent, self.indent_delta, tags=None, nindex_levels=self.row_levels
)
def _write_hierarchical_rows(
self, fmt_values: Dict[int, List[str]], indent: int
) -> None:
template = 'rowspan="{span}" valign="top"'
truncate_h = self.fmt.truncate_h
truncate_v = self.fmt.truncate_v
frame = self.fmt.tr_frame
nrows = len(frame)
idx_values = frame.index.format(sparsify=False, adjoin=False, names=False)
idx_values = list(zip(*idx_values))
if self.fmt.sparsify:
# GH3547
sentinel = object()
levels = frame.index.format(sparsify=sentinel, adjoin=False, names=False)
level_lengths = get_level_lengths(levels, sentinel)
inner_lvl = len(level_lengths) - 1
if truncate_v:
# Insert ... row and adjust idx_values and
# level_lengths to take this into account.
ins_row = self.fmt.tr_row_num
inserted = False
for lnum, records in enumerate(level_lengths):
rec_new = {}
for tag, span in list(records.items()):
if tag >= ins_row:
rec_new[tag + 1] = span
elif tag + span > ins_row:
rec_new[tag] = span + 1
# GH 14882 - Make sure insertion done once
if not inserted:
dot_row = list(idx_values[ins_row - 1])
dot_row[-1] = "..."
idx_values.insert(ins_row, tuple(dot_row))
inserted = True
else:
dot_row = list(idx_values[ins_row])
dot_row[inner_lvl - lnum] = "..."
idx_values[ins_row] = tuple(dot_row)
else:
rec_new[tag] = span
# If ins_row lies between tags, all cols idx cols
# receive ...
if tag + span == ins_row:
rec_new[ins_row] = 1
if lnum == 0:
idx_values.insert(
ins_row, tuple(["..."] * len(level_lengths))
)
# GH 14882 - Place ... in correct level
elif inserted:
dot_row = list(idx_values[ins_row])
dot_row[inner_lvl - lnum] = "..."
idx_values[ins_row] = tuple(dot_row)
level_lengths[lnum] = rec_new
level_lengths[inner_lvl][ins_row] = 1
for ix_col in range(len(fmt_values)):
fmt_values[ix_col].insert(ins_row, "...")
nrows += 1
for i in range(nrows):
row = []
tags = {}
sparse_offset = 0
j = 0
for records, v in zip(level_lengths, idx_values[i]):
if i in records:
if records[i] > 1:
tags[j] = template.format(span=records[i])
else:
sparse_offset += 1
continue
j += 1
row.append(v)
row.extend(fmt_values[j][i] for j in range(self.ncols))
if truncate_h:
row.insert(
self.row_levels - sparse_offset + self.fmt.tr_col_num, "..."
)
self.write_tr(
row,
indent,
self.indent_delta,
tags=tags,
nindex_levels=len(levels) - sparse_offset,
)
else:
row = []
for i in range(len(frame)):
if truncate_v and i == (self.fmt.tr_row_num):
str_sep_row = ["..."] * len(row)
self.write_tr(
str_sep_row,
indent,
self.indent_delta,
tags=None,
nindex_levels=self.row_levels,
)
idx_values = list(
zip(*frame.index.format(sparsify=False, adjoin=False, names=False))
)
row = []
row.extend(idx_values[i])
row.extend(fmt_values[j][i] for j in range(self.ncols))
if truncate_h:
row.insert(self.row_levels + self.fmt.tr_col_num, "...")
self.write_tr(
row,
indent,
self.indent_delta,
tags=None,
nindex_levels=frame.index.nlevels,
)
class NotebookFormatter(HTMLFormatter):
"""
Internal class for formatting output data in html for display in Jupyter
Notebooks. This class is intended for functionality specific to
DataFrame._repr_html_() and DataFrame.to_html(notebook=True)
"""
def _get_formatted_values(self) -> Dict[int, List[str]]:
return {i: self.fmt._format_col(i) for i in range(self.ncols)}
def _get_columns_formatted_values(self) -> List[str]:
return self.columns.format()
def write_style(self) -> None:
# We use the "scoped" attribute here so that the desired
# style properties for the data frame are not then applied
# throughout the entire notebook.
template_first = """\
<style scoped>"""
template_last = """\
</style>"""
template_select = """\
.dataframe %s {
%s: %s;
}"""
element_props = [
("tbody tr th:only-of-type", "vertical-align", "middle"),
("tbody tr th", "vertical-align", "top"),
]
if isinstance(self.columns, ABCMultiIndex):
element_props.append(("thead tr th", "text-align", "left"))
if self.show_row_idx_names:
element_props.append(
("thead tr:last-of-type th", "text-align", "right")
)
else:
element_props.append(("thead th", "text-align", "right"))
template_mid = "\n\n".join(map(lambda t: template_select % t, element_props))
template = dedent("\n".join((template_first, template_mid, template_last)))
self.write(template)
def render(self) -> List[str]:
self.write("<div>")
self.write_style()
super().render()
self.write("</div>")
return self.elements

265
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"""
Module for formatting output data in Latex.
"""
import numpy as np
from pandas.core.dtypes.generic import ABCMultiIndex
from pandas.io.formats.format import TableFormatter
class LatexFormatter(TableFormatter):
""" Used to render a DataFrame to a LaTeX tabular/longtable environment
output.
Parameters
----------
formatter : `DataFrameFormatter`
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
longtable : boolean, default False
Use a longtable environment instead of tabular.
See Also
--------
HTMLFormatter
"""
def __init__(
self,
formatter,
column_format=None,
longtable=False,
multicolumn=False,
multicolumn_format=None,
multirow=False,
):
self.fmt = formatter
self.frame = self.fmt.frame
self.bold_rows = self.fmt.kwds.get("bold_rows", False)
self.column_format = column_format
self.longtable = longtable
self.multicolumn = multicolumn
self.multicolumn_format = multicolumn_format
self.multirow = multirow
def write_result(self, buf):
"""
Render a DataFrame to a LaTeX tabular/longtable environment output.
"""
# string representation of the columns
if len(self.frame.columns) == 0 or len(self.frame.index) == 0:
info_line = "Empty {name}\nColumns: {col}\nIndex: {idx}".format(
name=type(self.frame).__name__,
col=self.frame.columns,
idx=self.frame.index,
)
strcols = [[info_line]]
else:
strcols = self.fmt._to_str_columns()
def get_col_type(dtype):
if issubclass(dtype.type, np.number):
return "r"
else:
return "l"
# reestablish the MultiIndex that has been joined by _to_str_column
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:]]
out = (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 out]
# 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:]
column_format = self.column_format
if column_format is None:
dtypes = self.frame.dtypes._values
column_format = "".join(map(get_col_type, dtypes))
if self.fmt.index:
index_format = "l" * self.frame.index.nlevels
column_format = index_format + column_format
elif not isinstance(column_format, str): # pragma: no cover
raise AssertionError(
"column_format must be str or unicode, "
"not {typ}".format(typ=type(column_format))
)
if not self.longtable:
buf.write("\\begin{{tabular}}{{{fmt}}}\n".format(fmt=column_format))
buf.write("\\toprule\n")
else:
buf.write("\\begin{{longtable}}{{{fmt}}}\n".format(fmt=column_format))
buf.write("\\toprule\n")
ilevels = self.frame.index.nlevels
clevels = self.frame.columns.nlevels
nlevels = clevels
if self.fmt.has_index_names and self.fmt.show_index_names:
nlevels += 1
strrows = list(zip(*strcols))
self.clinebuf = []
for i, row in enumerate(strrows):
if i == nlevels and self.fmt.header:
buf.write("\\midrule\n") # End of header
if self.longtable:
buf.write("\\endhead\n")
buf.write("\\midrule\n")
buf.write(
"\\multicolumn{{{n}}}{{r}}{{{{Continued on next "
"page}}}} \\\\\n".format(n=len(row))
)
buf.write("\\midrule\n")
buf.write("\\endfoot\n\n")
buf.write("\\bottomrule\n")
buf.write("\\endlastfoot\n")
if self.fmt.kwds.get("escape", True):
# escape backslashes first
crow = [
(
x.replace("\\", "\\textbackslash ")
.replace("_", "\\_")
.replace("%", "\\%")
.replace("$", "\\$")
.replace("#", "\\#")
.replace("{", "\\{")
.replace("}", "\\}")
.replace("~", "\\textasciitilde ")
.replace("^", "\\textasciicircum ")
.replace("&", "\\&")
if (x and x != "{}")
else "{}"
)
for x in row
]
else:
crow = [x if x else "{}" for x in row]
if self.bold_rows and self.fmt.index:
# bold row labels
crow = [
"\\textbf{{{x}}}".format(x=x)
if j < ilevels and x.strip() not in ["", "{}"]
else x
for j, x in enumerate(crow)
]
if i < clevels and self.fmt.header and self.multicolumn:
# sum up columns to multicolumns
crow = self._format_multicolumn(crow, ilevels)
if i >= nlevels and self.fmt.index and self.multirow and ilevels > 1:
# sum up rows to multirows
crow = self._format_multirow(crow, ilevels, i, strrows)
buf.write(" & ".join(crow))
buf.write(" \\\\\n")
if self.multirow and i < len(strrows) - 1:
self._print_cline(buf, i, len(strcols))
if not self.longtable:
buf.write("\\bottomrule\n")
buf.write("\\end{tabular}\n")
else:
buf.write("\\end{longtable}\n")
def _format_multicolumn(self, row, ilevels):
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 = list(row[:ilevels])
ncol = 1
coltext = ""
def append_col():
# write multicolumn if needed
if ncol > 1:
row2.append(
"\\multicolumn{{{ncol:d}}}{{{fmt:s}}}{{{txt:s}}}".format(
ncol=ncol, fmt=self.multicolumn_format, txt=coltext.strip()
)
)
# don't modify where not needed
else:
row2.append(coltext)
for c in row[ilevels:]:
# 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, ilevels, i, rows):
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(ilevels):
if row[j].strip():
nrow = 1
for r in rows[i + 1 :]:
if not r[j].strip():
nrow += 1
else:
break
if nrow > 1:
# overwrite non-multirow entry
row[j] = "\\multirow{{{nrow:d}}}{{*}}{{{row:s}}}".format(
nrow=nrow, row=row[j].strip()
)
# save when to end the current block with \cline
self.clinebuf.append([i + nrow - 1, j + 1])
return row
def _print_cline(self, buf, i, icol):
"""
Print clines after multirow-blocks are finished
"""
for cl in self.clinebuf:
if cl[0] == i:
buf.write("\\cline{{{cl:d}-{icol:d}}}\n".format(cl=cl[1], icol=icol))
# remove entries that have been written to buffer
self.clinebuf = [x for x in self.clinebuf if x[0] != i]

517
venv/lib/python3.6/site-packages/pandas/io/formats/printing.py Normal file
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"""
printing tools
"""
import sys
from pandas._config import get_option
from pandas.core.dtypes.inference import is_sequence
def adjoin(space, *lists, **kwargs):
"""
Glues together two sets of strings using the amount of space requested.
The idea is to prettify.
----------
space : int
number of spaces for padding
lists : str
list of str which being joined
strlen : callable
function used to calculate the length of each str. Needed for unicode
handling.
justfunc : callable
function used to justify str. Needed for unicode handling.
"""
strlen = kwargs.pop("strlen", len)
justfunc = kwargs.pop("justfunc", justify)
out_lines = []
newLists = []
lengths = [max(map(strlen, x)) + space for x in lists[:-1]]
# not the last one
lengths.append(max(map(len, lists[-1])))
maxLen = max(map(len, lists))
for i, lst in enumerate(lists):
nl = justfunc(lst, lengths[i], mode="left")
nl.extend([" " * lengths[i]] * (maxLen - len(lst)))
newLists.append(nl)
toJoin = zip(*newLists)
for lines in toJoin:
out_lines.append(_join_unicode(lines))
return _join_unicode(out_lines, sep="\n")
def justify(texts, max_len, mode="right"):
"""
Perform ljust, center, rjust against string or list-like
"""
if mode == "left":
return [x.ljust(max_len) for x in texts]
elif mode == "center":
return [x.center(max_len) for x in texts]
else:
return [x.rjust(max_len) for x in texts]
def _join_unicode(lines, sep=""):
try:
return sep.join(lines)
except UnicodeDecodeError:
sep = str(sep)
return sep.join([x.decode("utf-8") if isinstance(x, str) else x for x in lines])
# Unicode consolidation
# ---------------------
#
# pprinting utility functions for generating Unicode text or
# bytes(3.x)/str(2.x) representations of objects.
# Try to use these as much as possible rather then rolling your own.
#
# When to use
# -----------
#
# 1) If you're writing code internal to pandas (no I/O directly involved),
# use pprint_thing().
#
# It will always return unicode text which can handled by other
# parts of the package without breakage.
#
# 2) if you need to write something out to file, use
# pprint_thing_encoded(encoding).
#
# If no encoding is specified, it defaults to utf-8. Since encoding pure
# ascii with utf-8 is a no-op you can safely use the default utf-8 if you're
# working with straight ascii.
def _pprint_seq(seq, _nest_lvl=0, max_seq_items=None, **kwds):
"""
internal. pprinter for iterables. you should probably use pprint_thing()
rather then calling this directly.
bounds length of printed sequence, depending on options
"""
if isinstance(seq, set):
fmt = "{{{body}}}"
else:
fmt = "[{body}]" if hasattr(seq, "__setitem__") else "({body})"
if max_seq_items is False:
nitems = len(seq)
else:
nitems = max_seq_items or get_option("max_seq_items") or len(seq)
s = iter(seq)
# handle sets, no slicing
r = [
pprint_thing(next(s), _nest_lvl + 1, max_seq_items=max_seq_items, **kwds)
for i in range(min(nitems, len(seq)))
]
body = ", ".join(r)
if nitems < len(seq):
body += ", ..."
elif isinstance(seq, tuple) and len(seq) == 1:
body += ","
return fmt.format(body=body)
def _pprint_dict(seq, _nest_lvl=0, max_seq_items=None, **kwds):
"""
internal. pprinter for iterables. you should probably use pprint_thing()
rather then calling this directly.
"""
fmt = "{{{things}}}"
pairs = []
pfmt = "{key}: {val}"
if max_seq_items is False:
nitems = len(seq)
else:
nitems = max_seq_items or get_option("max_seq_items") or len(seq)
for k, v in list(seq.items())[:nitems]:
pairs.append(
pfmt.format(
key=pprint_thing(k, _nest_lvl + 1, max_seq_items=max_seq_items, **kwds),
val=pprint_thing(v, _nest_lvl + 1, max_seq_items=max_seq_items, **kwds),
)
)
if nitems < len(seq):
return fmt.format(things=", ".join(pairs) + ", ...")
else:
return fmt.format(things=", ".join(pairs))
def pprint_thing(
thing,
_nest_lvl=0,
escape_chars=None,
default_escapes=False,
quote_strings=False,
max_seq_items=None,
):
"""
This function is the sanctioned way of converting objects
to a unicode representation.
properly handles nested sequences containing unicode strings
(unicode(object) does not)
Parameters
----------
thing : anything to be formatted
_nest_lvl : internal use only. pprint_thing() is mutually-recursive
with pprint_sequence, this argument is used to keep track of the
current nesting level, and limit it.
escape_chars : list or dict, optional
Characters to escape. If a dict is passed the values are the
replacements
default_escapes : bool, default False
Whether the input escape characters replaces or adds to the defaults
max_seq_items : False, int, default None
Pass thru to other pretty printers to limit sequence printing
Returns
-------
result - unicode str
"""
def as_escaped_unicode(thing, escape_chars=escape_chars):
# Unicode is fine, else we try to decode using utf-8 and 'replace'
# if that's not it either, we have no way of knowing and the user
# should deal with it himself.
try:
result = str(thing) # we should try this first
except UnicodeDecodeError:
# either utf-8 or we replace errors
result = str(thing).decode("utf-8", "replace")
translate = {"\t": r"\t", "\n": r"\n", "\r": r"\r"}
if isinstance(escape_chars, dict):
if default_escapes:
translate.update(escape_chars)
else:
translate = escape_chars
escape_chars = list(escape_chars.keys())
else:
escape_chars = escape_chars or tuple()
for c in escape_chars:
result = result.replace(c, translate[c])
return str(result)
if hasattr(thing, "__next__"):
return str(thing)
elif isinstance(thing, dict) and _nest_lvl < get_option(
"display.pprint_nest_depth"
):
result = _pprint_dict(
thing, _nest_lvl, quote_strings=True, max_seq_items=max_seq_items
)
elif is_sequence(thing) and _nest_lvl < get_option("display.pprint_nest_depth"):
result = _pprint_seq(
thing,
_nest_lvl,
escape_chars=escape_chars,
quote_strings=quote_strings,
max_seq_items=max_seq_items,
)
elif isinstance(thing, str) and quote_strings:
result = "'{thing}'".format(thing=as_escaped_unicode(thing))
else:
result = as_escaped_unicode(thing)
return str(result) # always unicode
def pprint_thing_encoded(object, encoding="utf-8", errors="replace", **kwds):
value = pprint_thing(object) # get unicode representation of object
return value.encode(encoding, errors, **kwds)
def _enable_data_resource_formatter(enable):
if "IPython" not in sys.modules:
# definitely not in IPython
return
from IPython import get_ipython
ip = get_ipython()
if ip is None:
# still not in IPython
return
formatters = ip.display_formatter.formatters
mimetype = "application/vnd.dataresource+json"
if enable:
if mimetype not in formatters:
# define tableschema formatter
from IPython.core.formatters import BaseFormatter
class TableSchemaFormatter(BaseFormatter):
print_method = "_repr_data_resource_"
_return_type = (dict,)
# register it:
formatters[mimetype] = TableSchemaFormatter()
# enable it if it's been disabled:
formatters[mimetype].enabled = True
else:
# unregister tableschema mime-type
if mimetype in formatters:
formatters[mimetype].enabled = False
default_pprint = lambda x, max_seq_items=None: pprint_thing(
x, escape_chars=("\t", "\r", "\n"), quote_strings=True, max_seq_items=max_seq_items
)
def format_object_summary(
obj,
formatter,
is_justify=True,
name=None,
indent_for_name=True,
line_break_each_value=False,
):
"""
Return the formatted obj as a unicode string
Parameters
----------
obj : object
must be iterable and support __getitem__
formatter : callable
string formatter for an element
is_justify : boolean
should justify the display
name : name, optional
defaults to the class name of the obj
indent_for_name : bool, default True
Whether subsequent lines should be be indented to
align with the name.
line_break_each_value : bool, default False
If True, inserts a line break for each value of ``obj``.
If False, only break lines when the a line of values gets wider
than the display width.
.. versionadded:: 0.25.0
Returns
-------
summary string
"""
from pandas.io.formats.console import get_console_size
from pandas.io.formats.format import _get_adjustment
display_width, _ = get_console_size()
if display_width is None:
display_width = get_option("display.width") or 80
if name is None:
name = obj.__class__.__name__
if indent_for_name:
name_len = len(name)
space1 = "\n%s" % (" " * (name_len + 1))
space2 = "\n%s" % (" " * (name_len + 2))
else:
space1 = "\n"
space2 = "\n " # space for the opening '['
n = len(obj)
if line_break_each_value:
# If we want to vertically align on each value of obj, we need to
# separate values by a line break and indent the values
sep = ",\n " + " " * len(name)
else:
sep = ","
max_seq_items = get_option("display.max_seq_items") or n
# are we a truncated display
is_truncated = n > max_seq_items
# adj can optionally handle unicode eastern asian width
adj = _get_adjustment()
def _extend_line(s, line, value, display_width, next_line_prefix):
if adj.len(line.rstrip()) + adj.len(value.rstrip()) >= display_width:
s += line.rstrip()
line = next_line_prefix
line += value
return s, line
def best_len(values):
if values:
return max(adj.len(x) for x in values)
else:
return 0
close = ", "
if n == 0:
summary = "[]{}".format(close)
elif n == 1 and not line_break_each_value:
first = formatter(obj[0])
summary = "[{}]{}".format(first, close)
elif n == 2 and not line_break_each_value:
first = formatter(obj[0])
last = formatter(obj[-1])
summary = "[{}, {}]{}".format(first, last, close)
else:
if n > max_seq_items:
n = min(max_seq_items // 2, 10)
head = [formatter(x) for x in obj[:n]]
tail = [formatter(x) for x in obj[-n:]]
else:
head = []
tail = [formatter(x) for x in obj]
# adjust all values to max length if needed
if is_justify:
if line_break_each_value:
# Justify each string in the values of head and tail, so the
# strings will right align when head and tail are stacked
# vertically.
head, tail = _justify(head, tail)
elif is_truncated or not (
len(", ".join(head)) < display_width
and len(", ".join(tail)) < display_width
):
# Each string in head and tail should align with each other
max_length = max(best_len(head), best_len(tail))
head = [x.rjust(max_length) for x in head]
tail = [x.rjust(max_length) for x in tail]
# If we are not truncated and we are only a single
# line, then don't justify
if line_break_each_value:
# Now head and tail are of type List[Tuple[str]]. Below we
# convert them into List[str], so there will be one string per
# value. Also truncate items horizontally if wider than
# max_space
max_space = display_width - len(space2)
value = tail[0]
for max_items in reversed(range(1, len(value) + 1)):
pprinted_seq = _pprint_seq(value, max_seq_items=max_items)
if len(pprinted_seq) < max_space:
break
head = [_pprint_seq(x, max_seq_items=max_items) for x in head]
tail = [_pprint_seq(x, max_seq_items=max_items) for x in tail]
summary = ""
line = space2
for max_items in range(len(head)):
word = head[max_items] + sep + " "
summary, line = _extend_line(summary, line, word, display_width, space2)
if is_truncated:
# remove trailing space of last line
summary += line.rstrip() + space2 + "..."
line = space2
for max_items in range(len(tail) - 1):
word = tail[max_items] + sep + " "
summary, line = _extend_line(summary, line, word, display_width, space2)
# last value: no sep added + 1 space of width used for trailing ','
summary, line = _extend_line(summary, line, tail[-1], display_width - 2, space2)
summary += line
# right now close is either '' or ', '
# Now we want to include the ']', but not the maybe space.
close = "]" + close.rstrip(" ")
summary += close
if len(summary) > (display_width) or line_break_each_value:
summary += space1
else: # one row
summary += " "
# remove initial space
summary = "[" + summary[len(space2) :]
return summary
def _justify(head, tail):
"""
Justify items in head and tail, so they are right-aligned when stacked.
Parameters
----------
head : list-like of list-likes of strings
tail : list-like of list-likes of strings
Returns
-------
tuple of list of tuples of strings
Same as head and tail, but items are right aligned when stacked
vertically.
Examples
--------
>>> _justify([['a', 'b']], [['abc', 'abcd']])
([(' a', ' b')], [('abc', 'abcd')])
"""
combined = head + tail
# For each position for the sequences in ``combined``,
# find the length of the largest string.
max_length = [0] * len(combined[0])
for inner_seq in combined:
length = [len(item) for item in inner_seq]
max_length = [max(x, y) for x, y in zip(max_length, length)]
# justify each item in each list-like in head and tail using max_length
head = [
tuple(x.rjust(max_len) for x, max_len in zip(seq, max_length)) for seq in head
]
tail = [
tuple(x.rjust(max_len) for x, max_len in zip(seq, max_length)) for seq in tail
]
return head, tail
def format_object_attrs(obj, include_dtype=True):
"""
Return a list of tuples of the (attr, formatted_value)
for common attrs, including dtype, name, length
Parameters
----------
obj : object
must be iterable
include_dtype : bool
If False, dtype won't be in the returned list
Returns
-------
list
"""
attrs = []
if hasattr(obj, "dtype") and include_dtype:
attrs.append(("dtype", "'{}'".format(obj.dtype)))
if getattr(obj, "name", None) is not None:
attrs.append(("name", default_pprint(obj.name)))
elif getattr(obj, "names", None) is not None and any(obj.names):
attrs.append(("names", default_pprint(obj.names)))
max_seq_items = get_option("display.max_seq_items") or len(obj)
if len(obj) > max_seq_items:
attrs.append(("length", len(obj)))
return attrs

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{# Update the template_structure.html document too #}
{%- block before_style -%}{%- endblock before_style -%}
{% block style %}
<style type="text/css" >
{% block table_styles %}
{% for s in table_styles %}
#T_{{uuid}} {{s.selector}} {
{% for p,val in s.props %}
{{p}}: {{val}};
{% endfor -%}
}
{%- endfor -%}
{% endblock table_styles %}
{% block before_cellstyle %}{% endblock before_cellstyle %}
{% block cellstyle %}
{%- for s in cellstyle %}
#T_{{uuid}}{{s.selector}} {
{% for p,val in s.props %}
{{p}}: {{val}};
{% endfor %}
}
{%- endfor -%}
{%- endblock cellstyle %}
</style>
{%- endblock style %}
{%- block before_table %}{% endblock before_table %}
{%- block table %}
<table id="T_{{uuid}}" {% if table_attributes %}{{ table_attributes }}{% endif %}>
{%- block caption %}
{%- if caption -%}
<caption>{{caption}}</caption>
{%- endif -%}
{%- endblock caption %}
{%- block thead %}
<thead>
{%- block before_head_rows %}{% endblock %}
{%- for r in head %}
{%- block head_tr scoped %}
<tr>
{%- for c in r %}
{%- if c.is_visible != False %}
<{{ c.type }} class="{{c.class}}" {{ c.attributes|join(" ") }}>{{c.value}}</{{ c.type }}>
{%- endif %}
{%- endfor %}
</tr>
{%- endblock head_tr %}
{%- endfor %}
{%- block after_head_rows %}{% endblock %}
</thead>
{%- endblock thead %}
{%- block tbody %}
<tbody>
{% block before_rows %}{% endblock before_rows %}
{% for r in body %}
{% block tr scoped %}
<tr>
{% for c in r %}
{% if c.is_visible != False %}
<{{ c.type }} {% if c.id is defined -%} id="T_{{ uuid }}{{ c.id }}" {%- endif %} class="{{ c.class }}" {{ c.attributes|join(" ") }}>{{ c.display_value }}</{{ c.type }}>
{% endif %}
{%- endfor %}
</tr>
{% endblock tr %}
{%- endfor %}
{%- block after_rows %}{%- endblock after_rows %}
</tbody>
{%- endblock tbody %}
</table>
{%- endblock table %}
{%- block after_table %}{% endblock after_table %}