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90 lines
2.7 KiB
Python
90 lines
2.7 KiB
Python
"""
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Tests for np.foo applied to DataFrame, not necessarily ufuncs.
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"""
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import numpy as np
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from pandas import (
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Categorical,
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DataFrame,
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)
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import pandas._testing as tm
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class TestAsArray:
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def test_asarray_homogeneous(self):
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df = DataFrame({"A": Categorical([1, 2]), "B": Categorical([1, 2])})
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result = np.asarray(df)
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# may change from object in the future
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expected = np.array([[1, 1], [2, 2]], dtype="object")
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tm.assert_numpy_array_equal(result, expected)
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def test_np_sqrt(self, float_frame):
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with np.errstate(all="ignore"):
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result = np.sqrt(float_frame)
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assert isinstance(result, type(float_frame))
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assert result.index.is_(float_frame.index)
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assert result.columns.is_(float_frame.columns)
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tm.assert_frame_equal(result, float_frame.apply(np.sqrt))
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def test_sum_deprecated_axis_behavior(self):
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# GH#52042 deprecated behavior of df.sum(axis=None), which gets
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# called when we do np.sum(df)
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arr = np.random.default_rng(2).standard_normal((4, 3))
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df = DataFrame(arr)
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msg = "The behavior of DataFrame.sum with axis=None is deprecated"
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with tm.assert_produces_warning(
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FutureWarning, match=msg, check_stacklevel=False
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):
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res = np.sum(df)
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with tm.assert_produces_warning(FutureWarning, match=msg):
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expected = df.sum(axis=None)
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tm.assert_series_equal(res, expected)
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def test_np_ravel(self):
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# GH26247
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arr = np.array(
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[
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[0.11197053, 0.44361564, -0.92589452],
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[0.05883648, -0.00948922, -0.26469934],
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]
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)
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result = np.ravel([DataFrame(batch.reshape(1, 3)) for batch in arr])
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expected = np.array(
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[
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0.11197053,
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0.44361564,
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-0.92589452,
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0.05883648,
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-0.00948922,
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-0.26469934,
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]
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)
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tm.assert_numpy_array_equal(result, expected)
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result = np.ravel(DataFrame(arr[0].reshape(1, 3), columns=["x1", "x2", "x3"]))
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expected = np.array([0.11197053, 0.44361564, -0.92589452])
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tm.assert_numpy_array_equal(result, expected)
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result = np.ravel(
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[
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DataFrame(batch.reshape(1, 3), columns=["x1", "x2", "x3"])
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for batch in arr
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]
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)
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expected = np.array(
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[
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0.11197053,
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0.44361564,
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-0.92589452,
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0.05883648,
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-0.00948922,
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-0.26469934,
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]
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)
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tm.assert_numpy_array_equal(result, expected)
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