89 lines
2.2 KiB
Python
89 lines
2.2 KiB
Python
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import numpy as np
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import pytest
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from pandas import DataFrame, Index, Series
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import pandas._testing as tm
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def test_slice_float64():
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values = np.arange(10.0, 50.0, 2)
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index = Index(values)
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start, end = values[[5, 15]]
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s = Series(np.random.randn(20), index=index)
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result = s[start:end]
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expected = s.iloc[5:16]
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tm.assert_series_equal(result, expected)
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result = s.loc[start:end]
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tm.assert_series_equal(result, expected)
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df = DataFrame(np.random.randn(20, 3), index=index)
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result = df[start:end]
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expected = df.iloc[5:16]
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tm.assert_frame_equal(result, expected)
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result = df.loc[start:end]
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tm.assert_frame_equal(result, expected)
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def test_getitem_negative_out_of_bounds():
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s = Series(tm.rands_array(5, 10), index=tm.rands_array(10, 10))
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msg = "index -11 is out of bounds for axis 0 with size 10"
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with pytest.raises(IndexError, match=msg):
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s[-11]
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with pytest.raises(IndexError, match=msg):
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s[-11] = "foo"
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def test_getitem_setitem_slice_bug():
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s = Series(range(10), index=list(range(10)))
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result = s[-12:]
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tm.assert_series_equal(result, s)
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result = s[-7:]
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tm.assert_series_equal(result, s[3:])
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result = s[:-12]
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tm.assert_series_equal(result, s[:0])
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s = Series(range(10), index=list(range(10)))
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s[-12:] = 0
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assert (s == 0).all()
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s[:-12] = 5
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assert (s == 0).all()
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def test_getitem_setitem_slice_integers():
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s = Series(np.random.randn(8), index=[2, 4, 6, 8, 10, 12, 14, 16])
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result = s[:4]
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expected = s.reindex([2, 4, 6, 8])
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tm.assert_series_equal(result, expected)
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s[:4] = 0
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assert (s[:4] == 0).all()
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assert not (s[4:] == 0).any()
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def test_slice_float_get_set(datetime_series):
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msg = (
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"cannot do slice indexing on DatetimeIndex with these indexers "
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r"\[{key}\] of type float"
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)
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with pytest.raises(TypeError, match=msg.format(key=r"4\.0")):
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datetime_series[4.0:10.0]
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with pytest.raises(TypeError, match=msg.format(key=r"4\.0")):
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datetime_series[4.0:10.0] = 0
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with pytest.raises(TypeError, match=msg.format(key=r"4\.5")):
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datetime_series[4.5:10.0]
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with pytest.raises(TypeError, match=msg.format(key=r"4\.5")):
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datetime_series[4.5:10.0] = 0
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