132 lines
3.8 KiB
Python
132 lines
3.8 KiB
Python
|
import numpy as np
|
||
|
import pytest
|
||
|
|
||
|
from pandas import (
|
||
|
DataFrame,
|
||
|
Series,
|
||
|
)
|
||
|
import pandas._testing as tm
|
||
|
|
||
|
|
||
|
class DotSharedTests:
|
||
|
@pytest.fixture
|
||
|
def obj(self):
|
||
|
raise NotImplementedError
|
||
|
|
||
|
@pytest.fixture
|
||
|
def other(self) -> DataFrame:
|
||
|
"""
|
||
|
other is a DataFrame that is indexed so that obj.dot(other) is valid
|
||
|
"""
|
||
|
raise NotImplementedError
|
||
|
|
||
|
@pytest.fixture
|
||
|
def expected(self, obj, other) -> DataFrame:
|
||
|
"""
|
||
|
The expected result of obj.dot(other)
|
||
|
"""
|
||
|
raise NotImplementedError
|
||
|
|
||
|
@classmethod
|
||
|
def reduced_dim_assert(cls, result, expected):
|
||
|
"""
|
||
|
Assertion about results with 1 fewer dimension that self.obj
|
||
|
"""
|
||
|
raise NotImplementedError
|
||
|
|
||
|
def test_dot_equiv_values_dot(self, obj, other, expected):
|
||
|
# `expected` is constructed from obj.values.dot(other.values)
|
||
|
result = obj.dot(other)
|
||
|
tm.assert_equal(result, expected)
|
||
|
|
||
|
def test_dot_2d_ndarray(self, obj, other, expected):
|
||
|
# Check ndarray argument; in this case we get matching values,
|
||
|
# but index/columns may not match
|
||
|
result = obj.dot(other.values)
|
||
|
assert np.all(result == expected.values)
|
||
|
|
||
|
def test_dot_1d_ndarray(self, obj, expected):
|
||
|
# can pass correct-length array
|
||
|
row = obj.iloc[0] if obj.ndim == 2 else obj
|
||
|
|
||
|
result = obj.dot(row.values)
|
||
|
expected = obj.dot(row)
|
||
|
self.reduced_dim_assert(result, expected)
|
||
|
|
||
|
def test_dot_series(self, obj, other, expected):
|
||
|
# Check series argument
|
||
|
result = obj.dot(other["1"])
|
||
|
self.reduced_dim_assert(result, expected["1"])
|
||
|
|
||
|
def test_dot_series_alignment(self, obj, other, expected):
|
||
|
result = obj.dot(other.iloc[::-1]["1"])
|
||
|
self.reduced_dim_assert(result, expected["1"])
|
||
|
|
||
|
def test_dot_aligns(self, obj, other, expected):
|
||
|
# Check index alignment
|
||
|
other2 = other.iloc[::-1]
|
||
|
result = obj.dot(other2)
|
||
|
tm.assert_equal(result, expected)
|
||
|
|
||
|
def test_dot_shape_mismatch(self, obj):
|
||
|
msg = "Dot product shape mismatch"
|
||
|
# exception raised is of type Exception
|
||
|
with pytest.raises(Exception, match=msg):
|
||
|
obj.dot(obj.values[:3])
|
||
|
|
||
|
def test_dot_misaligned(self, obj, other):
|
||
|
msg = "matrices are not aligned"
|
||
|
with pytest.raises(ValueError, match=msg):
|
||
|
obj.dot(other.T)
|
||
|
|
||
|
|
||
|
class TestSeriesDot(DotSharedTests):
|
||
|
@pytest.fixture
|
||
|
def obj(self):
|
||
|
return Series(np.random.randn(4), index=["p", "q", "r", "s"])
|
||
|
|
||
|
@pytest.fixture
|
||
|
def other(self):
|
||
|
return DataFrame(
|
||
|
np.random.randn(3, 4), index=["1", "2", "3"], columns=["p", "q", "r", "s"]
|
||
|
).T
|
||
|
|
||
|
@pytest.fixture
|
||
|
def expected(self, obj, other):
|
||
|
return Series(np.dot(obj.values, other.values), index=other.columns)
|
||
|
|
||
|
@classmethod
|
||
|
def reduced_dim_assert(cls, result, expected):
|
||
|
"""
|
||
|
Assertion about results with 1 fewer dimension that self.obj
|
||
|
"""
|
||
|
tm.assert_almost_equal(result, expected)
|
||
|
|
||
|
|
||
|
class TestDataFrameDot(DotSharedTests):
|
||
|
@pytest.fixture
|
||
|
def obj(self):
|
||
|
return DataFrame(
|
||
|
np.random.randn(3, 4), index=["a", "b", "c"], columns=["p", "q", "r", "s"]
|
||
|
)
|
||
|
|
||
|
@pytest.fixture
|
||
|
def other(self):
|
||
|
return DataFrame(
|
||
|
np.random.randn(4, 2), index=["p", "q", "r", "s"], columns=["1", "2"]
|
||
|
)
|
||
|
|
||
|
@pytest.fixture
|
||
|
def expected(self, obj, other):
|
||
|
return DataFrame(
|
||
|
np.dot(obj.values, other.values), index=obj.index, columns=other.columns
|
||
|
)
|
||
|
|
||
|
@classmethod
|
||
|
def reduced_dim_assert(cls, result, expected):
|
||
|
"""
|
||
|
Assertion about results with 1 fewer dimension that self.obj
|
||
|
"""
|
||
|
tm.assert_series_equal(result, expected, check_names=False)
|
||
|
assert result.name is None
|