418 lines
15 KiB
Python
418 lines
15 KiB
Python
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from collections import ChainMap
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import inspect
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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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Index,
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MultiIndex,
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merge,
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)
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import pandas._testing as tm
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class TestRename:
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def test_rename_signature(self):
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sig = inspect.signature(DataFrame.rename)
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parameters = set(sig.parameters)
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assert parameters == {
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"self",
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"mapper",
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"index",
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"columns",
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"axis",
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"inplace",
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"copy",
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"level",
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"errors",
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}
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def test_rename_mi(self, frame_or_series):
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obj = frame_or_series(
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[11, 21, 31],
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index=MultiIndex.from_tuples([("A", x) for x in ["a", "B", "c"]]),
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)
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obj.rename(str.lower)
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def test_rename(self, float_frame):
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mapping = {"A": "a", "B": "b", "C": "c", "D": "d"}
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renamed = float_frame.rename(columns=mapping)
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renamed2 = float_frame.rename(columns=str.lower)
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tm.assert_frame_equal(renamed, renamed2)
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tm.assert_frame_equal(
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renamed2.rename(columns=str.upper), float_frame, check_names=False
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)
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# index
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data = {"A": {"foo": 0, "bar": 1}}
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# gets sorted alphabetical
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df = DataFrame(data)
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renamed = df.rename(index={"foo": "bar", "bar": "foo"})
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tm.assert_index_equal(renamed.index, Index(["foo", "bar"]))
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renamed = df.rename(index=str.upper)
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tm.assert_index_equal(renamed.index, Index(["BAR", "FOO"]))
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# have to pass something
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with pytest.raises(TypeError, match="must pass an index to rename"):
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float_frame.rename()
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# partial columns
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renamed = float_frame.rename(columns={"C": "foo", "D": "bar"})
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tm.assert_index_equal(renamed.columns, Index(["A", "B", "foo", "bar"]))
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# other axis
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renamed = float_frame.T.rename(index={"C": "foo", "D": "bar"})
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tm.assert_index_equal(renamed.index, Index(["A", "B", "foo", "bar"]))
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# index with name
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index = Index(["foo", "bar"], name="name")
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renamer = DataFrame(data, index=index)
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renamed = renamer.rename(index={"foo": "bar", "bar": "foo"})
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tm.assert_index_equal(renamed.index, Index(["bar", "foo"], name="name"))
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assert renamed.index.name == renamer.index.name
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@pytest.mark.parametrize(
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"args,kwargs",
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[
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((ChainMap({"A": "a"}, {"B": "b"}),), {"axis": "columns"}),
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((), {"columns": ChainMap({"A": "a"}, {"B": "b"})}),
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],
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)
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def test_rename_chainmap(self, args, kwargs):
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# see gh-23859
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colAData = range(1, 11)
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colBdata = np.random.randn(10)
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df = DataFrame({"A": colAData, "B": colBdata})
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result = df.rename(*args, **kwargs)
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expected = DataFrame({"a": colAData, "b": colBdata})
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tm.assert_frame_equal(result, expected)
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def test_rename_multiindex(self):
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tuples_index = [("foo1", "bar1"), ("foo2", "bar2")]
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tuples_columns = [("fizz1", "buzz1"), ("fizz2", "buzz2")]
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index = MultiIndex.from_tuples(tuples_index, names=["foo", "bar"])
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columns = MultiIndex.from_tuples(tuples_columns, names=["fizz", "buzz"])
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df = DataFrame([(0, 0), (1, 1)], index=index, columns=columns)
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#
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# without specifying level -> across all levels
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renamed = df.rename(
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index={"foo1": "foo3", "bar2": "bar3"},
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columns={"fizz1": "fizz3", "buzz2": "buzz3"},
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)
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new_index = MultiIndex.from_tuples(
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[("foo3", "bar1"), ("foo2", "bar3")], names=["foo", "bar"]
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)
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new_columns = MultiIndex.from_tuples(
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[("fizz3", "buzz1"), ("fizz2", "buzz3")], names=["fizz", "buzz"]
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)
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tm.assert_index_equal(renamed.index, new_index)
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tm.assert_index_equal(renamed.columns, new_columns)
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assert renamed.index.names == df.index.names
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assert renamed.columns.names == df.columns.names
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#
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# with specifying a level (GH13766)
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# dict
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new_columns = MultiIndex.from_tuples(
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[("fizz3", "buzz1"), ("fizz2", "buzz2")], names=["fizz", "buzz"]
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)
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renamed = df.rename(columns={"fizz1": "fizz3", "buzz2": "buzz3"}, level=0)
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tm.assert_index_equal(renamed.columns, new_columns)
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renamed = df.rename(columns={"fizz1": "fizz3", "buzz2": "buzz3"}, level="fizz")
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tm.assert_index_equal(renamed.columns, new_columns)
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new_columns = MultiIndex.from_tuples(
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[("fizz1", "buzz1"), ("fizz2", "buzz3")], names=["fizz", "buzz"]
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)
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renamed = df.rename(columns={"fizz1": "fizz3", "buzz2": "buzz3"}, level=1)
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tm.assert_index_equal(renamed.columns, new_columns)
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renamed = df.rename(columns={"fizz1": "fizz3", "buzz2": "buzz3"}, level="buzz")
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tm.assert_index_equal(renamed.columns, new_columns)
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# function
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func = str.upper
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new_columns = MultiIndex.from_tuples(
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[("FIZZ1", "buzz1"), ("FIZZ2", "buzz2")], names=["fizz", "buzz"]
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)
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renamed = df.rename(columns=func, level=0)
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tm.assert_index_equal(renamed.columns, new_columns)
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renamed = df.rename(columns=func, level="fizz")
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tm.assert_index_equal(renamed.columns, new_columns)
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new_columns = MultiIndex.from_tuples(
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[("fizz1", "BUZZ1"), ("fizz2", "BUZZ2")], names=["fizz", "buzz"]
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)
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renamed = df.rename(columns=func, level=1)
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tm.assert_index_equal(renamed.columns, new_columns)
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renamed = df.rename(columns=func, level="buzz")
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tm.assert_index_equal(renamed.columns, new_columns)
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# index
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new_index = MultiIndex.from_tuples(
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[("foo3", "bar1"), ("foo2", "bar2")], names=["foo", "bar"]
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)
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renamed = df.rename(index={"foo1": "foo3", "bar2": "bar3"}, level=0)
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tm.assert_index_equal(renamed.index, new_index)
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def test_rename_nocopy(self, float_frame, using_copy_on_write):
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renamed = float_frame.rename(columns={"C": "foo"}, copy=False)
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assert np.shares_memory(renamed["foo"]._values, float_frame["C"]._values)
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renamed.loc[:, "foo"] = 1.0
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if using_copy_on_write:
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assert not (float_frame["C"] == 1.0).all()
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else:
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assert (float_frame["C"] == 1.0).all()
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def test_rename_inplace(self, float_frame):
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float_frame.rename(columns={"C": "foo"})
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assert "C" in float_frame
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assert "foo" not in float_frame
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c_values = float_frame["C"]
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float_frame = float_frame.copy()
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return_value = float_frame.rename(columns={"C": "foo"}, inplace=True)
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assert return_value is None
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assert "C" not in float_frame
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assert "foo" in float_frame
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# GH 44153
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# Used to be id(float_frame["foo"]) != c_id, but flaky in the CI
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assert float_frame["foo"] is not c_values
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def test_rename_bug(self):
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# GH 5344
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# rename set ref_locs, and set_index was not resetting
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df = DataFrame({0: ["foo", "bar"], 1: ["bah", "bas"], 2: [1, 2]})
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df = df.rename(columns={0: "a"})
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df = df.rename(columns={1: "b"})
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df = df.set_index(["a", "b"])
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df.columns = ["2001-01-01"]
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expected = DataFrame(
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[[1], [2]],
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index=MultiIndex.from_tuples(
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[("foo", "bah"), ("bar", "bas")], names=["a", "b"]
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),
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columns=["2001-01-01"],
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)
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tm.assert_frame_equal(df, expected)
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def test_rename_bug2(self):
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# GH 19497
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# rename was changing Index to MultiIndex if Index contained tuples
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df = DataFrame(data=np.arange(3), index=[(0, 0), (1, 1), (2, 2)], columns=["a"])
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df = df.rename({(1, 1): (5, 4)}, axis="index")
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expected = DataFrame(
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data=np.arange(3), index=[(0, 0), (5, 4), (2, 2)], columns=["a"]
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)
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tm.assert_frame_equal(df, expected)
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def test_rename_errors_raises(self):
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df = DataFrame(columns=["A", "B", "C", "D"])
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with pytest.raises(KeyError, match="'E'] not found in axis"):
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df.rename(columns={"A": "a", "E": "e"}, errors="raise")
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@pytest.mark.parametrize(
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"mapper, errors, expected_columns",
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[
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({"A": "a", "E": "e"}, "ignore", ["a", "B", "C", "D"]),
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({"A": "a"}, "raise", ["a", "B", "C", "D"]),
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(str.lower, "raise", ["a", "b", "c", "d"]),
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],
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)
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def test_rename_errors(self, mapper, errors, expected_columns):
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# GH 13473
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# rename now works with errors parameter
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df = DataFrame(columns=["A", "B", "C", "D"])
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result = df.rename(columns=mapper, errors=errors)
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expected = DataFrame(columns=expected_columns)
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tm.assert_frame_equal(result, expected)
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def test_rename_objects(self, float_string_frame):
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renamed = float_string_frame.rename(columns=str.upper)
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assert "FOO" in renamed
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assert "foo" not in renamed
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def test_rename_axis_style(self):
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# https://github.com/pandas-dev/pandas/issues/12392
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df = DataFrame({"A": [1, 2], "B": [1, 2]}, index=["X", "Y"])
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expected = DataFrame({"a": [1, 2], "b": [1, 2]}, index=["X", "Y"])
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result = df.rename(str.lower, axis=1)
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tm.assert_frame_equal(result, expected)
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result = df.rename(str.lower, axis="columns")
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tm.assert_frame_equal(result, expected)
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result = df.rename({"A": "a", "B": "b"}, axis=1)
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tm.assert_frame_equal(result, expected)
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result = df.rename({"A": "a", "B": "b"}, axis="columns")
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tm.assert_frame_equal(result, expected)
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# Index
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expected = DataFrame({"A": [1, 2], "B": [1, 2]}, index=["x", "y"])
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result = df.rename(str.lower, axis=0)
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tm.assert_frame_equal(result, expected)
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result = df.rename(str.lower, axis="index")
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tm.assert_frame_equal(result, expected)
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result = df.rename({"X": "x", "Y": "y"}, axis=0)
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tm.assert_frame_equal(result, expected)
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result = df.rename({"X": "x", "Y": "y"}, axis="index")
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tm.assert_frame_equal(result, expected)
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result = df.rename(mapper=str.lower, axis="index")
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tm.assert_frame_equal(result, expected)
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def test_rename_mapper_multi(self):
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df = DataFrame({"A": ["a", "b"], "B": ["c", "d"], "C": [1, 2]}).set_index(
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["A", "B"]
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)
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result = df.rename(str.upper)
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expected = df.rename(index=str.upper)
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tm.assert_frame_equal(result, expected)
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def test_rename_positional_named(self):
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# https://github.com/pandas-dev/pandas/issues/12392
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df = DataFrame({"a": [1, 2], "b": [1, 2]}, index=["X", "Y"])
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result = df.rename(index=str.lower, columns=str.upper)
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expected = DataFrame({"A": [1, 2], "B": [1, 2]}, index=["x", "y"])
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tm.assert_frame_equal(result, expected)
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def test_rename_axis_style_raises(self):
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# see gh-12392
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df = DataFrame({"A": [1, 2], "B": [1, 2]}, index=["0", "1"])
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# Named target and axis
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over_spec_msg = "Cannot specify both 'axis' and any of 'index' or 'columns'"
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(index=str.lower, axis=1)
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(index=str.lower, axis="columns")
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(columns=str.lower, axis="columns")
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(index=str.lower, axis=0)
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# Multiple targets and axis
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(str.lower, index=str.lower, axis="columns")
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# Too many targets
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over_spec_msg = "Cannot specify both 'mapper' and any of 'index' or 'columns'"
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with pytest.raises(TypeError, match=over_spec_msg):
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df.rename(str.lower, index=str.lower, columns=str.lower)
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# Duplicates
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with pytest.raises(TypeError, match="multiple values"):
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df.rename(id, mapper=id)
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def test_rename_positional_raises(self):
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# GH 29136
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df = DataFrame(columns=["A", "B"])
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msg = r"rename\(\) takes from 1 to 2 positional arguments"
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with pytest.raises(TypeError, match=msg):
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df.rename(None, str.lower)
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def test_rename_no_mappings_raises(self):
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# GH 29136
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df = DataFrame([[1]])
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msg = "must pass an index to rename"
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with pytest.raises(TypeError, match=msg):
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df.rename()
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with pytest.raises(TypeError, match=msg):
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df.rename(None, index=None)
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with pytest.raises(TypeError, match=msg):
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df.rename(None, columns=None)
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with pytest.raises(TypeError, match=msg):
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df.rename(None, columns=None, index=None)
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def test_rename_mapper_and_positional_arguments_raises(self):
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# GH 29136
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df = DataFrame([[1]])
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msg = "Cannot specify both 'mapper' and any of 'index' or 'columns'"
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with pytest.raises(TypeError, match=msg):
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df.rename({}, index={})
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with pytest.raises(TypeError, match=msg):
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df.rename({}, columns={})
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with pytest.raises(TypeError, match=msg):
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df.rename({}, columns={}, index={})
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def test_rename_with_duplicate_columns(self):
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# GH#4403
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df4 = DataFrame(
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{"RT": [0.0454], "TClose": [22.02], "TExg": [0.0422]},
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index=MultiIndex.from_tuples(
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[(600809, 20130331)], names=["STK_ID", "RPT_Date"]
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),
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)
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df5 = DataFrame(
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{
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"RPT_Date": [20120930, 20121231, 20130331],
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"STK_ID": [600809] * 3,
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"STK_Name": ["饡驦", "饡驦", "饡驦"],
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"TClose": [38.05, 41.66, 30.01],
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},
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index=MultiIndex.from_tuples(
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[(600809, 20120930), (600809, 20121231), (600809, 20130331)],
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names=["STK_ID", "RPT_Date"],
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),
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)
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# TODO: can we construct this without merge?
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k = merge(df4, df5, how="inner", left_index=True, right_index=True)
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result = k.rename(columns={"TClose_x": "TClose", "TClose_y": "QT_Close"})
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|
|
str(result)
|
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|
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result.dtypes
|
||
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|
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|
|
expected = DataFrame(
|
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[[0.0454, 22.02, 0.0422, 20130331, 600809, "饡驦", 30.01]],
|
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|
|
columns=[
|
||
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|
"RT",
|
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"TClose",
|
||
|
|
"TExg",
|
||
|
|
"RPT_Date",
|
||
|
|
"STK_ID",
|
||
|
|
"STK_Name",
|
||
|
|
"QT_Close",
|
||
|
|
],
|
||
|
|
).set_index(["STK_ID", "RPT_Date"], drop=False)
|
||
|
|
tm.assert_frame_equal(result, expected)
|
||
|
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|
||
|
|
def test_rename_boolean_index(self):
|
||
|
|
df = DataFrame(np.arange(15).reshape(3, 5), columns=[False, True, 2, 3, 4])
|
||
|
|
mapper = {0: "foo", 1: "bar", 2: "bah"}
|
||
|
|
res = df.rename(index=mapper)
|
||
|
|
exp = DataFrame(
|
||
|
|
np.arange(15).reshape(3, 5),
|
||
|
|
columns=[False, True, 2, 3, 4],
|
||
|
|
index=["foo", "bar", "bah"],
|
||
|
|
)
|
||
|
|
tm.assert_frame_equal(res, exp)
|