Beispiel #1
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def test_union_execute_multiple_tables():
    df = pd.DataFrame()
    df["A"] = [1, 2]
    df["B"] = [10, 20]

    df2 = pd.DataFrame()
    df2["A"] = [3, 4]
    df2["C"] = [30, 40]

    df3 = pd.DataFrame()
    df3["A"] = [5, 6]
    df3["D"] = [50, 60]

    w = Wrap(df)
    w = w.let(df2=df2, df3=df3)
    wnew = w.execute("""
    self 
    | union kind=outer df2, df3
    """)

    assert ["A", "B", "C", "D"] == list(wnew.df.columns)
    assert [1, 2, 3, 4, 5, 6] == list(wnew.df["A"])
    assert [10, 20, -1, -1, -1, -1] == replace_nan(wnew.df["B"], -1)
    assert [-1, -1, 30, 40, -1, -1] == replace_nan(wnew.df["C"], -1)
    assert [-1, -1, -1, -1, 50, 60] == replace_nan(wnew.df["D"], -1)
Beispiel #2
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def test_execute_let_semicolon():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute("let a = 'G2';")

    assert "G2" == wnew._get_var_map()["a"]
Beispiel #3
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def test_execute():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute("self | where G == 'G1' | where A >= 1 | project C")

    assert ["C"] == list(wnew.df.columns)
    assert ["foo2", "foo4"] == list(wnew.df["C"])
Beispiel #4
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def test_execute_wrap_object():
    df = create_df()

    w = Wrap(df)
    w2 = Wrap(pd.DataFrame()).let(w=w)
    wnew = w2.execute("w | where G == 'G1' | where A >= 1 | project C")

    assert ["C"] == list(wnew.df.columns)
    assert ["foo2", "foo4"] == list(wnew.df["C"])
Beispiel #5
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def test_execute_join():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute(
        "self | where G == 'G1' | project G | as T1; self | join kind=inner (T1) on G | project A, G"
    )

    assert ["A", "G"] == list(wnew.df.columns)
    assert ["G1"] * 9 == list(wnew.df["G"])
Beispiel #6
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def test_execute_let_dataframe():
    df = create_df()
    df2 = pd.DataFrame()

    w = Wrap(df2).let(D=df)
    wnew = w.execute(
        "let a = 'G1'; D | where G == a | where A >= 1 | project C")

    assert ["C"] == list(wnew.df.columns)
    assert ["foo2", "foo4"] == list(wnew.df["C"])
Beispiel #7
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    def test_order_execute(self):
        df = create_df()
        df["U"] = [9, 1, 7, 1, 2]
        expected = [1, 3, 4, 2, 0]
        w = Wrap(df)
        wnew = w.execute("self | order by U + 1 asc, B asc")
        self.assertListEqual([1, 1, 2, 7, 9], list(wnew.df["U"]))
        self.assertListEqual(expected, list(wnew.df["B"]))
        self.assertListEqual(list(range(5)), list(w.df["B"]))

        assert 6 == len(wnew.df.columns)
Beispiel #8
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def test_execute_comment():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute("""
    self #c0
    | where G == 'G1' # c1
    # comment
    | where A >= 1 #c3
    | project C # another comment
    """)

    assert ["C"] == list(wnew.df.columns)
    assert ["foo2", "foo4"] == list(wnew.df["C"])
Beispiel #9
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def test_execute_join_right_on_left_on():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute("""
    self 
    | join ( 
        self 
        | where G == 'G1' 
        | project GG=G ) 
        on $right.GG ==  $left.G
    | project A, G
    """)

    assert ["A", "G"] == list(wnew.df.columns)
    assert ["G1"] * 9 == list(wnew.df["G"])
Beispiel #10
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def test_execute_join_nokind():
    df = create_df()

    w = Wrap(df)
    wnew = w.execute("""
    self 
    | join ( 
        self 
        | where G == 'G1' 
        | project G ) 
        on G 
    | project A, G
    """)

    assert ["A", "G"] == list(wnew.df.columns)
    assert ["G1"] * 9 == list(wnew.df["G"])
Beispiel #11
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def test_union_execute():
    df = pd.DataFrame()
    df["A"] = [1, 2]
    df["B"] = [10, 20]

    df2 = pd.DataFrame()
    df2["A"] = [3, 4]
    df2["C"] = [30, 40]

    w = Wrap(df)
    w = w.let(df2=df2)
    wnew = w.execute("""
    self 
    | union kind=outer df2
    """)

    assert ["A", "B", "C"] == list(wnew.df.columns)
    assert [1, 2, 3, 4] == list(wnew.df["A"])
    assert [10, 20, -1, -1] == replace_nan(wnew.df["B"], -1)
    assert [-1, -1, 30, 40] == replace_nan(wnew.df["C"], -1)
Beispiel #12
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def test_execute_join_multiple_join_conditions():
    df = pd.DataFrame()
    df["A"] = [1, 1]
    df["B"] = [1, 2]
    df["C"] = [10, 20]
    df["D"] = [100, 200]

    df2 = pd.DataFrame()
    df2["A"] = [1, 1]
    df2["B2"] = [1, 0]
    df2["C2"] = [10, 0]

    w = Wrap(df)
    w = w.let(df2=df2)

    wnew = w.execute("""
    self 
    | join ( df2 ) 
        on A, $right.B2 ==  $left.B, $left.C == $right.C2
    """)

    assert ["A", "B", "C", "D", "B2", "C2"] == list(wnew.df.columns)
    assert [100] == list(wnew.df["D"])
Beispiel #13
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 def test_limit_expression(self):
     df = create_df()
     w = Wrap(df)
     wnew = w.execute("self | limit 1+1")
     self.assertListEqual([0, 1], list(wnew.df["B"]))
     self.assertEqual(5, len(w.df["B"]))