Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
235 lines
5.4 KiB
235 lines
5.4 KiB
from pandas.compat._optional import import_optional_dependency
|
|
|
|
from pandas.core.dtypes.common import is_integer, is_list_like
|
|
|
|
_writers = {}
|
|
|
|
|
|
def register_writer(klass):
|
|
"""
|
|
Add engine to the excel writer registry.io.excel.
|
|
|
|
You must use this method to integrate with ``to_excel``.
|
|
|
|
Parameters
|
|
----------
|
|
klass : ExcelWriter
|
|
"""
|
|
if not callable(klass):
|
|
raise ValueError("Can only register callables as engines")
|
|
engine_name = klass.engine
|
|
_writers[engine_name] = klass
|
|
|
|
|
|
def _get_default_writer(ext):
|
|
"""
|
|
Return the default writer for the given extension.
|
|
|
|
Parameters
|
|
----------
|
|
ext : str
|
|
The excel file extension for which to get the default engine.
|
|
|
|
Returns
|
|
-------
|
|
str
|
|
The default engine for the extension.
|
|
"""
|
|
_default_writers = {
|
|
"xlsx": "openpyxl",
|
|
"xlsm": "openpyxl",
|
|
"xls": "xlwt",
|
|
"ods": "odf",
|
|
}
|
|
xlsxwriter = import_optional_dependency(
|
|
"xlsxwriter", raise_on_missing=False, on_version="warn"
|
|
)
|
|
if xlsxwriter:
|
|
_default_writers["xlsx"] = "xlsxwriter"
|
|
return _default_writers[ext]
|
|
|
|
|
|
def get_writer(engine_name):
|
|
try:
|
|
return _writers[engine_name]
|
|
except KeyError as err:
|
|
raise ValueError(f"No Excel writer '{engine_name}'") from err
|
|
|
|
|
|
def _excel2num(x):
|
|
"""
|
|
Convert Excel column name like 'AB' to 0-based column index.
|
|
|
|
Parameters
|
|
----------
|
|
x : str
|
|
The Excel column name to convert to a 0-based column index.
|
|
|
|
Returns
|
|
-------
|
|
num : int
|
|
The column index corresponding to the name.
|
|
|
|
Raises
|
|
------
|
|
ValueError
|
|
Part of the Excel column name was invalid.
|
|
"""
|
|
index = 0
|
|
|
|
for c in x.upper().strip():
|
|
cp = ord(c)
|
|
|
|
if cp < ord("A") or cp > ord("Z"):
|
|
raise ValueError(f"Invalid column name: {x}")
|
|
|
|
index = index * 26 + cp - ord("A") + 1
|
|
|
|
return index - 1
|
|
|
|
|
|
def _range2cols(areas):
|
|
"""
|
|
Convert comma separated list of column names and ranges to indices.
|
|
|
|
Parameters
|
|
----------
|
|
areas : str
|
|
A string containing a sequence of column ranges (or areas).
|
|
|
|
Returns
|
|
-------
|
|
cols : list
|
|
A list of 0-based column indices.
|
|
|
|
Examples
|
|
--------
|
|
>>> _range2cols('A:E')
|
|
[0, 1, 2, 3, 4]
|
|
>>> _range2cols('A,C,Z:AB')
|
|
[0, 2, 25, 26, 27]
|
|
"""
|
|
cols = []
|
|
|
|
for rng in areas.split(","):
|
|
if ":" in rng:
|
|
rng = rng.split(":")
|
|
cols.extend(range(_excel2num(rng[0]), _excel2num(rng[1]) + 1))
|
|
else:
|
|
cols.append(_excel2num(rng))
|
|
|
|
return cols
|
|
|
|
|
|
def _maybe_convert_usecols(usecols):
|
|
"""
|
|
Convert `usecols` into a compatible format for parsing in `parsers.py`.
|
|
|
|
Parameters
|
|
----------
|
|
usecols : object
|
|
The use-columns object to potentially convert.
|
|
|
|
Returns
|
|
-------
|
|
converted : object
|
|
The compatible format of `usecols`.
|
|
"""
|
|
if usecols is None:
|
|
return usecols
|
|
|
|
if is_integer(usecols):
|
|
raise ValueError(
|
|
"Passing an integer for `usecols` is no longer supported. "
|
|
"Please pass in a list of int from 0 to `usecols` inclusive instead."
|
|
)
|
|
|
|
if isinstance(usecols, str):
|
|
return _range2cols(usecols)
|
|
|
|
return usecols
|
|
|
|
|
|
def _validate_freeze_panes(freeze_panes):
|
|
if freeze_panes is not None:
|
|
if len(freeze_panes) == 2 and all(
|
|
isinstance(item, int) for item in freeze_panes
|
|
):
|
|
return True
|
|
|
|
raise ValueError(
|
|
"freeze_panes must be of form (row, column) "
|
|
"where row and column are integers"
|
|
)
|
|
|
|
# freeze_panes wasn't specified, return False so it won't be applied
|
|
# to output sheet
|
|
return False
|
|
|
|
|
|
def _trim_excel_header(row):
|
|
# trim header row so auto-index inference works
|
|
# xlrd uses '' , openpyxl None
|
|
while len(row) > 0 and (row[0] == "" or row[0] is None):
|
|
row = row[1:]
|
|
return row
|
|
|
|
|
|
def _fill_mi_header(row, control_row):
|
|
"""
|
|
Forward fill blank entries in row but only inside the same parent index.
|
|
|
|
Used for creating headers in Multiindex.
|
|
|
|
Parameters
|
|
----------
|
|
row : list
|
|
List of items in a single row.
|
|
control_row : list of bool
|
|
Helps to determine if particular column is in same parent index as the
|
|
previous value. Used to stop propagation of empty cells between
|
|
different indexes.
|
|
|
|
Returns
|
|
-------
|
|
Returns changed row and control_row
|
|
"""
|
|
last = row[0]
|
|
for i in range(1, len(row)):
|
|
if not control_row[i]:
|
|
last = row[i]
|
|
|
|
if row[i] == "" or row[i] is None:
|
|
row[i] = last
|
|
else:
|
|
control_row[i] = False
|
|
last = row[i]
|
|
|
|
return row, control_row
|
|
|
|
|
|
def _pop_header_name(row, index_col):
|
|
"""
|
|
Pop the header name for MultiIndex parsing.
|
|
|
|
Parameters
|
|
----------
|
|
row : list
|
|
The data row to parse for the header name.
|
|
index_col : int, list
|
|
The index columns for our data. Assumed to be non-null.
|
|
|
|
Returns
|
|
-------
|
|
header_name : str
|
|
The extracted header name.
|
|
trimmed_row : list
|
|
The original data row with the header name removed.
|
|
"""
|
|
# Pop out header name and fill w/blank.
|
|
i = index_col if not is_list_like(index_col) else max(index_col)
|
|
|
|
header_name = row[i]
|
|
header_name = None if header_name == "" else header_name
|
|
|
|
return header_name, row[:i] + [""] + row[i + 1 :]
|
|
|