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- import numpy as np
- from pandas.core.dtypes.common import is_scalar
- import pandas as pd
- import pandas._testing as tm
- class TestSearchsorted:
- def test_searchsorted_string(self, string_dtype):
- arr = pd.array(["a", "b", "c"], dtype=string_dtype)
- result = arr.searchsorted("a", side="left")
- assert is_scalar(result)
- assert result == 0
- result = arr.searchsorted("a", side="right")
- assert is_scalar(result)
- assert result == 1
- def test_searchsorted_numeric_dtypes_scalar(self, any_real_numpy_dtype):
- arr = pd.array([1, 3, 90], dtype=any_real_numpy_dtype)
- result = arr.searchsorted(30)
- assert is_scalar(result)
- assert result == 2
- result = arr.searchsorted([30])
- expected = np.array([2], dtype=np.intp)
- tm.assert_numpy_array_equal(result, expected)
- def test_searchsorted_numeric_dtypes_vector(self, any_real_numpy_dtype):
- arr = pd.array([1, 3, 90], dtype=any_real_numpy_dtype)
- result = arr.searchsorted([2, 30])
- expected = np.array([1, 2], dtype=np.intp)
- tm.assert_numpy_array_equal(result, expected)
- def test_searchsorted_sorter(self, any_real_numpy_dtype):
- arr = pd.array([3, 1, 2], dtype=any_real_numpy_dtype)
- result = arr.searchsorted([0, 3], sorter=np.argsort(arr))
- expected = np.array([0, 2], dtype=np.intp)
- tm.assert_numpy_array_equal(result, expected)
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