You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
136 lines
4.3 KiB
136 lines
4.3 KiB
from datetime import datetime
|
|
|
|
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)
|
|
|