60 lines
2.2 KiB
Python
60 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 (
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DataFrame,
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Series,
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)
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import pandas._testing as tm
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class TestConvert:
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def test_convert_objects(self, float_string_frame):
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oops = float_string_frame.T.T
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converted = oops._convert(datetime=True)
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tm.assert_frame_equal(converted, float_string_frame)
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assert converted["A"].dtype == np.float64
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# force numeric conversion
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float_string_frame["H"] = "1."
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float_string_frame["I"] = "1"
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# add in some items that will be nan
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length = len(float_string_frame)
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float_string_frame["J"] = "1."
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float_string_frame["K"] = "1"
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float_string_frame.loc[float_string_frame.index[0:5], ["J", "K"]] = "garbled"
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converted = float_string_frame._convert(datetime=True, numeric=True)
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assert converted["H"].dtype == "float64"
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assert converted["I"].dtype == "int64"
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assert converted["J"].dtype == "float64"
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assert converted["K"].dtype == "float64"
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assert len(converted["J"].dropna()) == length - 5
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assert len(converted["K"].dropna()) == length - 5
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# via astype
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converted = float_string_frame.copy()
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converted["H"] = converted["H"].astype("float64")
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converted["I"] = converted["I"].astype("int64")
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assert converted["H"].dtype == "float64"
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assert converted["I"].dtype == "int64"
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# via astype, but errors
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converted = float_string_frame.copy()
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with pytest.raises(ValueError, match="invalid literal"):
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converted["H"].astype("int32")
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def test_convert_mixed_single_column(self):
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# GH#4119, not converting a mixed type (e.g.floats and object)
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# mixed in a single column
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df = DataFrame({"s": Series([1, "na", 3, 4])})
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result = df._convert(datetime=True, numeric=True)
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expected = DataFrame({"s": Series([1, np.nan, 3, 4])})
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tm.assert_frame_equal(result, expected)
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def test_convert_objects_no_conversion(self):
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mixed1 = DataFrame({"a": [1, 2, 3], "b": [4.0, 5, 6], "c": ["x", "y", "z"]})
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mixed2 = mixed1._convert(datetime=True)
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tm.assert_frame_equal(mixed1, mixed2)
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