135 lines
4.3 KiB
Python
135 lines
4.3 KiB
Python
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import numpy as np
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import pytest
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from pandas.errors import UnsupportedFunctionCall
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import pandas as pd
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from pandas import DataFrame, Series
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import pandas._testing as tm
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from pandas.core.window import Expanding
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from pandas.tests.window.common import Base
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class TestExpanding(Base):
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def setup_method(self, method):
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self._create_data()
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def test_doc_string(self):
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df = DataFrame({"B": [0, 1, 2, np.nan, 4]})
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df
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df.expanding(2).sum()
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@pytest.mark.parametrize("which", ["series", "frame"])
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def test_constructor(self, which):
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# GH 12669
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o = getattr(self, which)
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c = o.expanding
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# valid
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c(min_periods=1)
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c(min_periods=1, center=True)
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c(min_periods=1, center=False)
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# not valid
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for w in [2.0, "foo", np.array([2])]:
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with pytest.raises(ValueError):
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c(min_periods=w)
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with pytest.raises(ValueError):
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c(min_periods=1, center=w)
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@pytest.mark.parametrize("method", ["std", "mean", "sum", "max", "min", "var"])
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def test_numpy_compat(self, method):
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# see gh-12811
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e = Expanding(Series([2, 4, 6]), window=2)
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msg = "numpy operations are not valid with window objects"
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with pytest.raises(UnsupportedFunctionCall, match=msg):
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getattr(e, method)(1, 2, 3)
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with pytest.raises(UnsupportedFunctionCall, match=msg):
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getattr(e, method)(dtype=np.float64)
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@pytest.mark.parametrize(
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"expander",
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[
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1,
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pytest.param(
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"ls",
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marks=pytest.mark.xfail(
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reason="GH#16425 expanding with offset not supported"
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),
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),
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],
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)
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def test_empty_df_expanding(self, expander):
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# GH 15819 Verifies that datetime and integer expanding windows can be
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# applied to empty DataFrames
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expected = DataFrame()
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result = DataFrame().expanding(expander).sum()
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tm.assert_frame_equal(result, expected)
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# Verifies that datetime and integer expanding windows can be applied
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# to empty DataFrames with datetime index
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expected = DataFrame(index=pd.DatetimeIndex([]))
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result = DataFrame(index=pd.DatetimeIndex([])).expanding(expander).sum()
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tm.assert_frame_equal(result, expected)
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def test_missing_minp_zero(self):
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# https://github.com/pandas-dev/pandas/pull/18921
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# minp=0
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x = pd.Series([np.nan])
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result = x.expanding(min_periods=0).sum()
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expected = pd.Series([0.0])
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tm.assert_series_equal(result, expected)
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# minp=1
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result = x.expanding(min_periods=1).sum()
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expected = pd.Series([np.nan])
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tm.assert_series_equal(result, expected)
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@pytest.mark.parametrize("klass", [pd.Series, pd.DataFrame])
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def test_iter_raises(self, klass):
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# https://github.com/pandas-dev/pandas/issues/11704
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# Iteration over a Window
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obj = klass([1, 2, 3, 4])
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with pytest.raises(NotImplementedError):
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iter(obj.expanding(2))
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def test_expanding_axis(self, axis_frame):
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# see gh-23372.
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df = DataFrame(np.ones((10, 20)))
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axis = df._get_axis_number(axis_frame)
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if axis == 0:
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expected = DataFrame(
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{i: [np.nan] * 2 + [float(j) for j in range(3, 11)] for i in range(20)}
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)
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else:
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# axis == 1
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expected = DataFrame([[np.nan] * 2 + [float(i) for i in range(3, 21)]] * 10)
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result = df.expanding(3, axis=axis_frame).sum()
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tm.assert_frame_equal(result, expected)
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@pytest.mark.parametrize("constructor", [Series, DataFrame])
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def test_expanding_count_with_min_periods(constructor):
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# GH 26996
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result = constructor(range(5)).expanding(min_periods=3).count()
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expected = constructor([np.nan, np.nan, 3.0, 4.0, 5.0])
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tm.assert_equal(result, expected)
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@pytest.mark.parametrize("constructor", [Series, DataFrame])
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def test_expanding_count_default_min_periods_with_null_values(constructor):
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# GH 26996
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values = [1, 2, 3, np.nan, 4, 5, 6]
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expected_counts = [1.0, 2.0, 3.0, 3.0, 4.0, 5.0, 6.0]
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result = constructor(values).expanding().count()
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expected = constructor(expected_counts)
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tm.assert_equal(result, expected)
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