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import numpy as np import pandas.util._test_decorators as td from pandas import ( DataFrame, Timestamp, ) import pandas._testing as tm class TestToNumpy: def test_to_numpy(self): df = DataFrame({"A": [1, 2], "B": [3, 4.5]}) expected = np.array([[1, 3], [2, 4.5]]) result = df.to_numpy() tm.assert_numpy_array_equal(result, expected) def test_to_numpy_dtype(self): df = DataFrame({"A": [1, 2], "B": [3, 4.5]}) expected = np.array([[1, 3], [2, 4]], dtype="int64") result = df.to_numpy(dtype="int64") tm.assert_numpy_array_equal(result, expected) @td.skip_array_manager_invalid_test def test_to_numpy_copy(self): arr = np.random.randn(4, 3) df = DataFrame(arr) assert df.values.base is arr assert df.to_numpy(copy=False).base is arr assert df.to_numpy(copy=True).base is not arr def test_to_numpy_mixed_dtype_to_str(self): # https://github.com/pandas-dev/pandas/issues/35455 df = DataFrame([[Timestamp("2020-01-01 00:00:00"), 100.0]]) result = df.to_numpy(dtype=str) expected = np.array([["2020-01-01 00:00:00", "100.0"]], dtype=str) tm.assert_numpy_array_equal(result, expected)
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