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| import numpy as np
| import pytest
|
| import pandas.util._test_decorators as td
|
| import pandas as pd
| from pandas import (
| DataFrame,
| Series,
| date_range,
| )
| import pandas._testing as tm
|
|
| class TestDataFrameUpdate:
| def test_update_nan(self):
| # #15593 #15617
| # test 1
| df1 = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)})
| df2 = DataFrame({"A": [None, 2, 3]})
| expected = df1.copy()
| df1.update(df2, overwrite=False)
|
| tm.assert_frame_equal(df1, expected)
|
| # test 2
| df1 = DataFrame({"A": [1.0, None, 3], "B": date_range("2000", periods=3)})
| df2 = DataFrame({"A": [None, 2, 3]})
| expected = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)})
| df1.update(df2, overwrite=False)
|
| tm.assert_frame_equal(df1, expected)
|
| def test_update(self):
| df = DataFrame(
| [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
| )
|
| other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])
|
| df.update(other)
|
| expected = DataFrame(
| [[1.5, np.nan, 3], [3.6, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]]
| )
| tm.assert_frame_equal(df, expected)
|
| def test_update_dtypes(self):
| # gh 3016
| df = DataFrame(
| [[1.0, 2.0, False, True], [4.0, 5.0, True, False]],
| columns=["A", "B", "bool1", "bool2"],
| )
|
| other = DataFrame([[45, 45]], index=[0], columns=["A", "B"])
| df.update(other)
|
| expected = DataFrame(
| [[45.0, 45.0, False, True], [4.0, 5.0, True, False]],
| columns=["A", "B", "bool1", "bool2"],
| )
| tm.assert_frame_equal(df, expected)
|
| def test_update_nooverwrite(self):
| df = DataFrame(
| [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
| )
|
| other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])
|
| df.update(other, overwrite=False)
|
| expected = DataFrame(
| [[1.5, np.nan, 3], [1.5, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 3.0]]
| )
| tm.assert_frame_equal(df, expected)
|
| def test_update_filtered(self):
| df = DataFrame(
| [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
| )
|
| other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])
|
| df.update(other, filter_func=lambda x: x > 2)
|
| expected = DataFrame(
| [[1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]]
| )
| tm.assert_frame_equal(df, expected)
|
| @pytest.mark.parametrize(
| "bad_kwarg, exception, msg",
| [
| # errors must be 'ignore' or 'raise'
| ({"errors": "something"}, ValueError, "The parameter errors must.*"),
| ({"join": "inner"}, NotImplementedError, "Only left join is supported"),
| ],
| )
| def test_update_raise_bad_parameter(self, bad_kwarg, exception, msg):
| df = DataFrame([[1.5, 1, 3.0]])
| with pytest.raises(exception, match=msg):
| df.update(df, **bad_kwarg)
|
| def test_update_raise_on_overlap(self):
| df = DataFrame(
| [[1.5, 1, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
| )
|
| other = DataFrame([[2.0, np.nan], [np.nan, 7]], index=[1, 3], columns=[1, 2])
| with pytest.raises(ValueError, match="Data overlaps"):
| df.update(other, errors="raise")
|
| def test_update_from_non_df(self):
| d = {"a": Series([1, 2, 3, 4]), "b": Series([5, 6, 7, 8])}
| df = DataFrame(d)
|
| d["a"] = Series([5, 6, 7, 8])
| df.update(d)
|
| expected = DataFrame(d)
|
| tm.assert_frame_equal(df, expected)
|
| d = {"a": [1, 2, 3, 4], "b": [5, 6, 7, 8]}
| df = DataFrame(d)
|
| d["a"] = [5, 6, 7, 8]
| df.update(d)
|
| expected = DataFrame(d)
|
| tm.assert_frame_equal(df, expected)
|
| def test_update_datetime_tz(self):
| # GH 25807
| result = DataFrame([pd.Timestamp("2019", tz="UTC")])
| with tm.assert_produces_warning(None):
| result.update(result)
| expected = DataFrame([pd.Timestamp("2019", tz="UTC")])
| tm.assert_frame_equal(result, expected)
|
| def test_update_with_different_dtype(self, using_copy_on_write):
| # GH#3217
| df = DataFrame({"a": [1, 3], "b": [np.nan, 2]})
| df["c"] = np.nan
| if using_copy_on_write:
| df.update({"c": Series(["foo"], index=[0])})
| else:
| df["c"].update(Series(["foo"], index=[0]))
|
| expected = DataFrame({"a": [1, 3], "b": [np.nan, 2], "c": ["foo", np.nan]})
| tm.assert_frame_equal(df, expected)
|
| @td.skip_array_manager_invalid_test
| def test_update_modify_view(self, using_copy_on_write):
| # GH#47188
| df = DataFrame({"A": ["1", np.nan], "B": ["100", np.nan]})
| df2 = DataFrame({"A": ["a", "x"], "B": ["100", "200"]})
| df2_orig = df2.copy()
| result_view = df2[:]
| df2.update(df)
| expected = DataFrame({"A": ["1", "x"], "B": ["100", "200"]})
| tm.assert_frame_equal(df2, expected)
| if using_copy_on_write:
| tm.assert_frame_equal(result_view, df2_orig)
| else:
| tm.assert_frame_equal(result_view, expected)
|
| def test_update_dt_column_with_NaT_create_column(self):
| # GH#16713
| df = DataFrame({"A": [1, None], "B": [pd.NaT, pd.to_datetime("2016-01-01")]})
| df2 = DataFrame({"A": [2, 3]})
| df.update(df2, overwrite=False)
| expected = DataFrame(
| {"A": [1.0, 3.0], "B": [pd.NaT, pd.to_datetime("2016-01-01")]}
| )
| tm.assert_frame_equal(df, expected)
|
|
