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417 lines
13 KiB
Python
417 lines
13 KiB
Python
from textwrap import dedent
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import numpy as np
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import pytest
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from pandas.errors import (
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PyperclipException,
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PyperclipWindowsException,
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)
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import pandas as pd
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from pandas import (
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NA,
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DataFrame,
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Series,
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get_option,
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read_clipboard,
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)
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import pandas._testing as tm
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from pandas.io.clipboard import (
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CheckedCall,
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_stringifyText,
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init_qt_clipboard,
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)
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def build_kwargs(sep, excel):
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kwargs = {}
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if excel != "default":
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kwargs["excel"] = excel
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if sep != "default":
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kwargs["sep"] = sep
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return kwargs
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@pytest.fixture(
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params=[
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"delims",
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"utf8",
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"utf16",
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"string",
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"long",
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"nonascii",
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"colwidth",
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"mixed",
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"float",
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"int",
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]
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)
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def df(request):
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data_type = request.param
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if data_type == "delims":
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return DataFrame({"a": ['"a,\t"b|c', "d\tef`"], "b": ["hi'j", "k''lm"]})
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elif data_type == "utf8":
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return DataFrame({"a": ["µasd", "Ωœ∑`"], "b": ["øπ∆˚¬", "œ∑`®"]})
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elif data_type == "utf16":
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return DataFrame(
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{"a": ["\U0001f44d\U0001f44d", "\U0001f44d\U0001f44d"], "b": ["abc", "def"]}
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)
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elif data_type == "string":
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return DataFrame(
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np.array([f"i-{i}" for i in range(15)]).reshape(5, 3), columns=list("abc")
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)
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elif data_type == "long":
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max_rows = get_option("display.max_rows")
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return DataFrame(
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np.random.default_rng(2).integers(0, 10, size=(max_rows + 1, 3)),
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columns=list("abc"),
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)
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elif data_type == "nonascii":
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return DataFrame({"en": "in English".split(), "es": "en español".split()})
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elif data_type == "colwidth":
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_cw = get_option("display.max_colwidth") + 1
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return DataFrame(
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np.array(["x" * _cw for _ in range(15)]).reshape(5, 3), columns=list("abc")
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)
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elif data_type == "mixed":
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return DataFrame(
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{
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"a": np.arange(1.0, 6.0) + 0.01,
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"b": np.arange(1, 6).astype(np.int64),
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"c": list("abcde"),
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}
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)
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elif data_type == "float":
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return DataFrame(np.random.default_rng(2).random((5, 3)), columns=list("abc"))
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elif data_type == "int":
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return DataFrame(
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np.random.default_rng(2).integers(0, 10, (5, 3)), columns=list("abc")
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)
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else:
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raise ValueError
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@pytest.fixture
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def mock_ctypes(monkeypatch):
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"""
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Mocks WinError to help with testing the clipboard.
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"""
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def _mock_win_error():
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return "Window Error"
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# Set raising to False because WinError won't exist on non-windows platforms
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with monkeypatch.context() as m:
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m.setattr("ctypes.WinError", _mock_win_error, raising=False)
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yield
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@pytest.mark.usefixtures("mock_ctypes")
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def test_checked_call_with_bad_call(monkeypatch):
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"""
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Give CheckCall a function that returns a falsey value and
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mock get_errno so it returns false so an exception is raised.
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"""
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def _return_false():
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return False
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monkeypatch.setattr("pandas.io.clipboard.get_errno", lambda: True)
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msg = f"Error calling {_return_false.__name__} \\(Window Error\\)"
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with pytest.raises(PyperclipWindowsException, match=msg):
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CheckedCall(_return_false)()
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@pytest.mark.usefixtures("mock_ctypes")
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def test_checked_call_with_valid_call(monkeypatch):
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"""
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Give CheckCall a function that returns a truthy value and
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mock get_errno so it returns true so an exception is not raised.
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The function should return the results from _return_true.
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"""
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def _return_true():
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return True
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monkeypatch.setattr("pandas.io.clipboard.get_errno", lambda: False)
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# Give CheckedCall a callable that returns a truthy value s
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checked_call = CheckedCall(_return_true)
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assert checked_call() is True
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@pytest.mark.parametrize(
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"text",
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[
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"String_test",
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True,
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1,
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1.0,
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1j,
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],
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)
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def test_stringify_text(text):
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valid_types = (str, int, float, bool)
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if isinstance(text, valid_types):
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result = _stringifyText(text)
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assert result == str(text)
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else:
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msg = (
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"only str, int, float, and bool values "
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f"can be copied to the clipboard, not {type(text).__name__}"
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)
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with pytest.raises(PyperclipException, match=msg):
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_stringifyText(text)
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@pytest.fixture
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def set_pyqt_clipboard(monkeypatch):
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qt_cut, qt_paste = init_qt_clipboard()
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with monkeypatch.context() as m:
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m.setattr(pd.io.clipboard, "clipboard_set", qt_cut)
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m.setattr(pd.io.clipboard, "clipboard_get", qt_paste)
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yield
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@pytest.fixture
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def clipboard(qapp):
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clip = qapp.clipboard()
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yield clip
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clip.clear()
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@pytest.mark.single_cpu
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@pytest.mark.clipboard
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@pytest.mark.usefixtures("set_pyqt_clipboard")
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@pytest.mark.usefixtures("clipboard")
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class TestClipboard:
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# Test that default arguments copy as tab delimited
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# Test that explicit delimiters are respected
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@pytest.mark.parametrize("sep", [None, "\t", ",", "|"])
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@pytest.mark.parametrize("encoding", [None, "UTF-8", "utf-8", "utf8"])
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def test_round_trip_frame_sep(self, df, sep, encoding):
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df.to_clipboard(excel=None, sep=sep, encoding=encoding)
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result = read_clipboard(sep=sep or "\t", index_col=0, encoding=encoding)
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tm.assert_frame_equal(df, result)
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# Test white space separator
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def test_round_trip_frame_string(self, df):
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df.to_clipboard(excel=False, sep=None)
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result = read_clipboard()
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assert df.to_string() == result.to_string()
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assert df.shape == result.shape
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# Two character separator is not supported in to_clipboard
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# Test that multi-character separators are not silently passed
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def test_excel_sep_warning(self, df):
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with tm.assert_produces_warning(
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UserWarning,
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match="to_clipboard in excel mode requires a single character separator.",
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check_stacklevel=False,
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):
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df.to_clipboard(excel=True, sep=r"\t")
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# Separator is ignored when excel=False and should produce a warning
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def test_copy_delim_warning(self, df):
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with tm.assert_produces_warning():
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df.to_clipboard(excel=False, sep="\t")
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# Tests that the default behavior of to_clipboard is tab
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# delimited and excel="True"
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@pytest.mark.parametrize("sep", ["\t", None, "default"])
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@pytest.mark.parametrize("excel", [True, None, "default"])
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def test_clipboard_copy_tabs_default(self, sep, excel, df, clipboard):
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kwargs = build_kwargs(sep, excel)
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df.to_clipboard(**kwargs)
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assert clipboard.text() == df.to_csv(sep="\t")
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# Tests reading of white space separated tables
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@pytest.mark.parametrize("sep", [None, "default"])
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def test_clipboard_copy_strings(self, sep, df):
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kwargs = build_kwargs(sep, False)
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df.to_clipboard(**kwargs)
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result = read_clipboard(sep=r"\s+")
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assert result.to_string() == df.to_string()
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assert df.shape == result.shape
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def test_read_clipboard_infer_excel(self, clipboard):
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# gh-19010: avoid warnings
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clip_kwargs = {"engine": "python"}
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text = dedent(
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"""
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John James\tCharlie Mingus
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1\t2
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4\tHarry Carney
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""".strip()
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)
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clipboard.setText(text)
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df = read_clipboard(**clip_kwargs)
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# excel data is parsed correctly
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assert df.iloc[1, 1] == "Harry Carney"
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# having diff tab counts doesn't trigger it
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text = dedent(
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"""
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a\t b
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1 2
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3 4
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""".strip()
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)
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clipboard.setText(text)
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res = read_clipboard(**clip_kwargs)
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text = dedent(
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"""
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a b
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1 2
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3 4
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""".strip()
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)
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clipboard.setText(text)
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exp = read_clipboard(**clip_kwargs)
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tm.assert_frame_equal(res, exp)
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def test_infer_excel_with_nulls(self, clipboard):
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# GH41108
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text = "col1\tcol2\n1\tred\n\tblue\n2\tgreen"
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clipboard.setText(text)
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df = read_clipboard()
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df_expected = DataFrame(
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data={"col1": [1, None, 2], "col2": ["red", "blue", "green"]}
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)
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# excel data is parsed correctly
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tm.assert_frame_equal(df, df_expected)
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@pytest.mark.parametrize(
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"multiindex",
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[
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( # Can't use `dedent` here as it will remove the leading `\t`
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"\n".join(
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[
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"\t\t\tcol1\tcol2",
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"A\t0\tTrue\t1\tred",
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"A\t1\tTrue\t\tblue",
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"B\t0\tFalse\t2\tgreen",
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]
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),
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[["A", "A", "B"], [0, 1, 0], [True, True, False]],
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),
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(
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"\n".join(
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["\t\tcol1\tcol2", "A\t0\t1\tred", "A\t1\t\tblue", "B\t0\t2\tgreen"]
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),
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[["A", "A", "B"], [0, 1, 0]],
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),
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],
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)
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def test_infer_excel_with_multiindex(self, clipboard, multiindex):
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# GH41108
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clipboard.setText(multiindex[0])
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df = read_clipboard()
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df_expected = DataFrame(
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data={"col1": [1, None, 2], "col2": ["red", "blue", "green"]},
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index=multiindex[1],
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)
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# excel data is parsed correctly
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tm.assert_frame_equal(df, df_expected)
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def test_invalid_encoding(self, df):
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msg = "clipboard only supports utf-8 encoding"
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# test case for testing invalid encoding
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with pytest.raises(ValueError, match=msg):
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df.to_clipboard(encoding="ascii")
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with pytest.raises(NotImplementedError, match=msg):
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read_clipboard(encoding="ascii")
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@pytest.mark.parametrize("data", ["\U0001f44d...", "Ωœ∑`...", "abcd..."])
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def test_raw_roundtrip(self, data):
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# PR #25040 wide unicode wasn't copied correctly on PY3 on windows
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df = DataFrame({"data": [data]})
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df.to_clipboard()
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result = read_clipboard()
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tm.assert_frame_equal(df, result)
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@pytest.mark.parametrize("engine", ["c", "python"])
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def test_read_clipboard_dtype_backend(
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self, clipboard, string_storage, dtype_backend, engine, using_infer_string
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):
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# GH#50502
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if dtype_backend == "pyarrow":
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pa = pytest.importorskip("pyarrow")
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if engine == "c" and string_storage == "pyarrow":
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# TODO avoid this exception?
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string_dtype = pd.ArrowDtype(pa.large_string())
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else:
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string_dtype = pd.ArrowDtype(pa.string())
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else:
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string_dtype = pd.StringDtype(string_storage)
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text = """a,b,c,d,e,f,g,h,i
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x,1,4.0,x,2,4.0,,True,False
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y,2,5.0,,,,,False,"""
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clipboard.setText(text)
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with pd.option_context("mode.string_storage", string_storage):
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result = read_clipboard(sep=",", dtype_backend=dtype_backend, engine=engine)
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expected = DataFrame(
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{
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"a": Series(["x", "y"], dtype=string_dtype),
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"b": Series([1, 2], dtype="Int64"),
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"c": Series([4.0, 5.0], dtype="Float64"),
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"d": Series(["x", None], dtype=string_dtype),
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"e": Series([2, NA], dtype="Int64"),
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"f": Series([4.0, NA], dtype="Float64"),
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"g": Series([NA, NA], dtype="Int64"),
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"h": Series([True, False], dtype="boolean"),
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"i": Series([False, NA], dtype="boolean"),
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}
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)
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if dtype_backend == "pyarrow":
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from pandas.arrays import ArrowExtensionArray
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expected = DataFrame(
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{
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col: ArrowExtensionArray(pa.array(expected[col], from_pandas=True))
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for col in expected.columns
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}
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)
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expected["g"] = ArrowExtensionArray(pa.array([None, None]))
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if using_infer_string:
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expected.columns = expected.columns.astype(
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pd.StringDtype(string_storage, na_value=np.nan)
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)
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tm.assert_frame_equal(result, expected)
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def test_invalid_dtype_backend(self):
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msg = (
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"dtype_backend numpy is invalid, only 'numpy_nullable' and "
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"'pyarrow' are allowed."
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)
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with pytest.raises(ValueError, match=msg):
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read_clipboard(dtype_backend="numpy")
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def test_to_clipboard_pos_args_deprecation(self):
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# GH-54229
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df = DataFrame({"a": [1, 2, 3]})
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msg = (
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r"Starting with pandas version 3.0 all arguments of to_clipboard "
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r"will be keyword-only."
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)
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with tm.assert_produces_warning(FutureWarning, match=msg):
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df.to_clipboard(True, None)
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