Inzynierka/Lib/site-packages/pandas/tests/series/methods/test_rename.py

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2023-06-02 12:51:02 +02:00
from datetime import datetime
import re
import numpy as np
import pytest
from pandas import (
Index,
MultiIndex,
Series,
)
import pandas._testing as tm
class TestRename:
def test_rename(self, datetime_series):
ts = datetime_series
renamer = lambda x: x.strftime("%Y%m%d")
renamed = ts.rename(renamer)
assert renamed.index[0] == renamer(ts.index[0])
# dict
rename_dict = dict(zip(ts.index, renamed.index))
renamed2 = ts.rename(rename_dict)
tm.assert_series_equal(renamed, renamed2)
def test_rename_partial_dict(self):
# partial dict
ser = Series(np.arange(4), index=["a", "b", "c", "d"], dtype="int64")
renamed = ser.rename({"b": "foo", "d": "bar"})
tm.assert_index_equal(renamed.index, Index(["a", "foo", "c", "bar"]))
def test_rename_retain_index_name(self):
# index with name
renamer = Series(
np.arange(4), index=Index(["a", "b", "c", "d"], name="name"), dtype="int64"
)
renamed = renamer.rename({})
assert renamed.index.name == renamer.index.name
def test_rename_by_series(self):
ser = Series(range(5), name="foo")
renamer = Series({1: 10, 2: 20})
result = ser.rename(renamer)
expected = Series(range(5), index=[0, 10, 20, 3, 4], name="foo")
tm.assert_series_equal(result, expected)
def test_rename_set_name(self):
ser = Series(range(4), index=list("abcd"))
for name in ["foo", 123, 123.0, datetime(2001, 11, 11), ("foo",)]:
result = ser.rename(name)
assert result.name == name
tm.assert_numpy_array_equal(result.index.values, ser.index.values)
assert ser.name is None
def test_rename_set_name_inplace(self):
ser = Series(range(3), index=list("abc"))
for name in ["foo", 123, 123.0, datetime(2001, 11, 11), ("foo",)]:
ser.rename(name, inplace=True)
assert ser.name == name
exp = np.array(["a", "b", "c"], dtype=np.object_)
tm.assert_numpy_array_equal(ser.index.values, exp)
def test_rename_axis_supported(self):
# Supporting axis for compatibility, detailed in GH-18589
ser = Series(range(5))
ser.rename({}, axis=0)
ser.rename({}, axis="index")
with pytest.raises(ValueError, match="No axis named 5"):
ser.rename({}, axis=5)
def test_rename_inplace(self, datetime_series):
renamer = lambda x: x.strftime("%Y%m%d")
expected = renamer(datetime_series.index[0])
datetime_series.rename(renamer, inplace=True)
assert datetime_series.index[0] == expected
def test_rename_with_custom_indexer(self):
# GH 27814
class MyIndexer:
pass
ix = MyIndexer()
ser = Series([1, 2, 3]).rename(ix)
assert ser.name is ix
def test_rename_with_custom_indexer_inplace(self):
# GH 27814
class MyIndexer:
pass
ix = MyIndexer()
ser = Series([1, 2, 3])
ser.rename(ix, inplace=True)
assert ser.name is ix
def test_rename_callable(self):
# GH 17407
ser = Series(range(1, 6), index=Index(range(2, 7), name="IntIndex"))
result = ser.rename(str)
expected = ser.rename(lambda i: str(i))
tm.assert_series_equal(result, expected)
assert result.name == expected.name
def test_rename_none(self):
# GH 40977
ser = Series([1, 2], name="foo")
result = ser.rename(None)
expected = Series([1, 2])
tm.assert_series_equal(result, expected)
def test_rename_series_with_multiindex(self):
# issue #43659
arrays = [
["bar", "baz", "baz", "foo", "qux"],
["one", "one", "two", "two", "one"],
]
index = MultiIndex.from_arrays(arrays, names=["first", "second"])
ser = Series(np.ones(5), index=index)
result = ser.rename(index={"one": "yes"}, level="second", errors="raise")
arrays_expected = [
["bar", "baz", "baz", "foo", "qux"],
["yes", "yes", "two", "two", "yes"],
]
index_expected = MultiIndex.from_arrays(
arrays_expected, names=["first", "second"]
)
series_expected = Series(np.ones(5), index=index_expected)
tm.assert_series_equal(result, series_expected)
def test_rename_series_with_multiindex_keeps_ea_dtypes(self):
# GH21055
arrays = [
Index([1, 2, 3], dtype="Int64").astype("category"),
Index([1, 2, 3], dtype="Int64"),
]
mi = MultiIndex.from_arrays(arrays, names=["A", "B"])
ser = Series(1, index=mi)
result = ser.rename({1: 4}, level=1)
arrays_expected = [
Index([1, 2, 3], dtype="Int64").astype("category"),
Index([4, 2, 3], dtype="Int64"),
]
mi_expected = MultiIndex.from_arrays(arrays_expected, names=["A", "B"])
expected = Series(1, index=mi_expected)
tm.assert_series_equal(result, expected)
def test_rename_error_arg(self):
# GH 46889
ser = Series(["foo", "bar"])
match = re.escape("[2] not found in axis")
with pytest.raises(KeyError, match=match):
ser.rename({2: 9}, errors="raise")
def test_rename_copy_false(self, using_copy_on_write):
# GH 46889
ser = Series(["foo", "bar"])
ser_orig = ser.copy()
shallow_copy = ser.rename({1: 9}, copy=False)
ser[0] = "foobar"
if using_copy_on_write:
assert ser_orig[0] == shallow_copy[0]
assert ser_orig[1] == shallow_copy[9]
else:
assert ser[0] == shallow_copy[0]
assert ser[1] == shallow_copy[9]