mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
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149 lines
4.2 KiB
Python
149 lines
4.2 KiB
Python
import numpy as np
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import pytest
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from pandas import (
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CategoricalIndex,
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DatetimeIndex,
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Index,
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PeriodIndex,
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TimedeltaIndex,
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isna,
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)
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import pandas._testing as tm
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from pandas.core.api import (
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Float64Index,
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NumericIndex,
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)
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from pandas.core.arrays import BooleanArray
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from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin
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@pytest.mark.parametrize(
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"func",
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[
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np.exp,
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np.exp2,
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np.expm1,
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np.log,
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np.log2,
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np.log10,
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np.log1p,
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np.sqrt,
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np.sin,
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np.cos,
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np.tan,
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np.arcsin,
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np.arccos,
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np.arctan,
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np.sinh,
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np.cosh,
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np.tanh,
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np.arcsinh,
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np.arccosh,
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np.arctanh,
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np.deg2rad,
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np.rad2deg,
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],
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ids=lambda x: x.__name__,
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)
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def test_numpy_ufuncs_basic(index, func):
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# test ufuncs of numpy, see:
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# https://numpy.org/doc/stable/reference/ufuncs.html
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if isinstance(index, DatetimeIndexOpsMixin):
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with tm.external_error_raised((TypeError, AttributeError)):
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with np.errstate(all="ignore"):
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func(index)
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elif isinstance(index, NumericIndex) or (
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not isinstance(index.dtype, np.dtype) and index.dtype._is_numeric
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):
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# coerces to float (e.g. np.sin)
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with np.errstate(all="ignore"):
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result = func(index)
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exp = Index(func(index.values), name=index.name)
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tm.assert_index_equal(result, exp)
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if type(index) is not Index:
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# i.e NumericIndex
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assert isinstance(result, Float64Index)
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else:
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# e.g. np.exp with Int64 -> Float64
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assert type(result) is Index
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else:
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# raise AttributeError or TypeError
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if len(index) == 0:
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pass
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else:
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with tm.external_error_raised((TypeError, AttributeError)):
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with np.errstate(all="ignore"):
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func(index)
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@pytest.mark.parametrize(
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"func", [np.isfinite, np.isinf, np.isnan, np.signbit], ids=lambda x: x.__name__
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)
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def test_numpy_ufuncs_other(index, func, request):
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# test ufuncs of numpy, see:
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# https://numpy.org/doc/stable/reference/ufuncs.html
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if isinstance(index, (DatetimeIndex, TimedeltaIndex)):
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if func in (np.isfinite, np.isinf, np.isnan):
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# numpy 1.18 changed isinf and isnan to not raise on dt64/td64
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result = func(index)
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assert isinstance(result, np.ndarray)
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else:
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with tm.external_error_raised(TypeError):
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func(index)
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elif isinstance(index, PeriodIndex):
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with tm.external_error_raised(TypeError):
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func(index)
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elif isinstance(index, NumericIndex) or (
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not isinstance(index.dtype, np.dtype) and index.dtype._is_numeric
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):
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# Results in bool array
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result = func(index)
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if not isinstance(index.dtype, np.dtype):
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# e.g. Int64 we expect to get BooleanArray back
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assert isinstance(result, BooleanArray)
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else:
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assert isinstance(result, np.ndarray)
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assert not isinstance(result, Index)
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else:
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if len(index) == 0:
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pass
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else:
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with tm.external_error_raised(TypeError):
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func(index)
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@pytest.mark.parametrize("func", [np.maximum, np.minimum])
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def test_numpy_ufuncs_reductions(index, func, request):
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# TODO: overlap with tests.series.test_ufunc.test_reductions
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if len(index) == 0:
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return
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if repr(index.dtype) == "string[pyarrow]":
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mark = pytest.mark.xfail(reason="ArrowStringArray has no min/max")
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request.node.add_marker(mark)
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if isinstance(index, CategoricalIndex) and index.dtype.ordered is False:
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with pytest.raises(TypeError, match="is not ordered for"):
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func.reduce(index)
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return
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else:
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result = func.reduce(index)
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if func is np.maximum:
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expected = index.max(skipna=False)
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else:
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expected = index.min(skipna=False)
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# TODO: do we have cases both with and without NAs?
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assert type(result) is type(expected)
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if isna(result):
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assert isna(expected)
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else:
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assert result == expected
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