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 Superseded by reCTBN.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.
137 lines
4.2 KiB
137 lines
4.2 KiB
""" io on the clipboard """
|
|
from io import StringIO
|
|
import warnings
|
|
|
|
from pandas.core.dtypes.generic import ABCDataFrame
|
|
|
|
from pandas import get_option, option_context
|
|
|
|
|
|
def read_clipboard(sep=r"\s+", **kwargs): # pragma: no cover
|
|
r"""
|
|
Read text from clipboard and pass to read_csv.
|
|
|
|
Parameters
|
|
----------
|
|
sep : str, default '\s+'
|
|
A string or regex delimiter. The default of '\s+' denotes
|
|
one or more whitespace characters.
|
|
|
|
**kwargs
|
|
See read_csv for the full argument list.
|
|
|
|
Returns
|
|
-------
|
|
DataFrame
|
|
A parsed DataFrame object.
|
|
"""
|
|
encoding = kwargs.pop("encoding", "utf-8")
|
|
|
|
# only utf-8 is valid for passed value because that's what clipboard
|
|
# supports
|
|
if encoding is not None and encoding.lower().replace("-", "") != "utf8":
|
|
raise NotImplementedError("reading from clipboard only supports utf-8 encoding")
|
|
|
|
from pandas.io.clipboard import clipboard_get
|
|
from pandas.io.parsers import read_csv
|
|
|
|
text = clipboard_get()
|
|
|
|
# Try to decode (if needed, as "text" might already be a string here).
|
|
try:
|
|
text = text.decode(kwargs.get("encoding") or get_option("display.encoding"))
|
|
except AttributeError:
|
|
pass
|
|
|
|
# Excel copies into clipboard with \t separation
|
|
# inspect no more then the 10 first lines, if they
|
|
# all contain an equal number (>0) of tabs, infer
|
|
# that this came from excel and set 'sep' accordingly
|
|
lines = text[:10000].split("\n")[:-1][:10]
|
|
|
|
# Need to remove leading white space, since read_csv
|
|
# accepts:
|
|
# a b
|
|
# 0 1 2
|
|
# 1 3 4
|
|
|
|
counts = {x.lstrip().count("\t") for x in lines}
|
|
if len(lines) > 1 and len(counts) == 1 and counts.pop() != 0:
|
|
sep = "\t"
|
|
|
|
# Edge case where sep is specified to be None, return to default
|
|
if sep is None and kwargs.get("delim_whitespace") is None:
|
|
sep = r"\s+"
|
|
|
|
# Regex separator currently only works with python engine.
|
|
# Default to python if separator is multi-character (regex)
|
|
if len(sep) > 1 and kwargs.get("engine") is None:
|
|
kwargs["engine"] = "python"
|
|
elif len(sep) > 1 and kwargs.get("engine") == "c":
|
|
warnings.warn(
|
|
"read_clipboard with regex separator does not work properly with c engine"
|
|
)
|
|
|
|
return read_csv(StringIO(text), sep=sep, **kwargs)
|
|
|
|
|
|
def to_clipboard(obj, excel=True, sep=None, **kwargs): # pragma: no cover
|
|
"""
|
|
Attempt to write text representation of object to the system clipboard
|
|
The clipboard can be then pasted into Excel for example.
|
|
|
|
Parameters
|
|
----------
|
|
obj : the object to write to the clipboard
|
|
excel : boolean, defaults to True
|
|
if True, use the provided separator, writing in a csv
|
|
format for allowing easy pasting into excel.
|
|
if False, write a string representation of the object
|
|
to the clipboard
|
|
sep : optional, defaults to tab
|
|
other keywords are passed to to_csv
|
|
|
|
Notes
|
|
-----
|
|
Requirements for your platform
|
|
- Linux: xclip, or xsel (with PyQt4 modules)
|
|
- Windows:
|
|
- OS X:
|
|
"""
|
|
encoding = kwargs.pop("encoding", "utf-8")
|
|
|
|
# testing if an invalid encoding is passed to clipboard
|
|
if encoding is not None and encoding.lower().replace("-", "") != "utf8":
|
|
raise ValueError("clipboard only supports utf-8 encoding")
|
|
|
|
from pandas.io.clipboard import clipboard_set
|
|
|
|
if excel is None:
|
|
excel = True
|
|
|
|
if excel:
|
|
try:
|
|
if sep is None:
|
|
sep = "\t"
|
|
buf = StringIO()
|
|
|
|
# clipboard_set (pyperclip) expects unicode
|
|
obj.to_csv(buf, sep=sep, encoding="utf-8", **kwargs)
|
|
text = buf.getvalue()
|
|
|
|
clipboard_set(text)
|
|
return
|
|
except TypeError:
|
|
warnings.warn(
|
|
"to_clipboard in excel mode requires a single character separator."
|
|
)
|
|
elif sep is not None:
|
|
warnings.warn("to_clipboard with excel=False ignores the sep argument")
|
|
|
|
if isinstance(obj, ABCDataFrame):
|
|
# str(df) has various unhelpful defaults, like truncation
|
|
with option_context("display.max_colwidth", None):
|
|
objstr = obj.to_string(**kwargs)
|
|
else:
|
|
objstr = str(obj)
|
|
clipboard_set(objstr)
|
|
|