Files
Feature-Extraction/dist/client/pandas/tests/frame/methods/test_set_axis.py

124 lines
3.8 KiB
Python

import numpy as np
import pytest
from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class SharedSetAxisTests:
@pytest.fixture
def obj(self):
raise NotImplementedError("Implemented by subclasses")
def test_set_axis(self, obj):
# GH14636; this tests setting index for both Series and DataFrame
new_index = list("abcd")[: len(obj)]
expected = obj.copy()
expected.index = new_index
# inplace=False
result = obj.set_axis(new_index, axis=0, inplace=False)
tm.assert_equal(expected, result)
@pytest.mark.parametrize("axis", [0, "index", 1, "columns"])
def test_set_axis_inplace_axis(self, axis, obj):
# GH#14636
if obj.ndim == 1 and axis in [1, "columns"]:
# Series only has [0, "index"]
return
new_index = list("abcd")[: len(obj)]
expected = obj.copy()
if axis in [0, "index"]:
expected.index = new_index
else:
expected.columns = new_index
result = obj.copy()
result.set_axis(new_index, axis=axis, inplace=True)
tm.assert_equal(result, expected)
def test_set_axis_unnamed_kwarg_warns(self, obj):
# omitting the "axis" parameter
new_index = list("abcd")[: len(obj)]
expected = obj.copy()
expected.index = new_index
with tm.assert_produces_warning(None):
result = obj.set_axis(new_index, inplace=False)
tm.assert_equal(result, expected)
@pytest.mark.parametrize("axis", [3, "foo"])
def test_set_axis_invalid_axis_name(self, axis, obj):
# wrong values for the "axis" parameter
with pytest.raises(ValueError, match="No axis named"):
obj.set_axis(list("abc"), axis=axis)
def test_set_axis_setattr_index_not_collection(self, obj):
# wrong type
msg = (
r"Index\(\.\.\.\) must be called with a collection of some "
r"kind, None was passed"
)
with pytest.raises(TypeError, match=msg):
obj.index = None
def test_set_axis_setattr_index_wrong_length(self, obj):
# wrong length
msg = (
f"Length mismatch: Expected axis has {len(obj)} elements, "
f"new values have {len(obj)-1} elements"
)
with pytest.raises(ValueError, match=msg):
obj.index = np.arange(len(obj) - 1)
if obj.ndim == 2:
with pytest.raises(ValueError, match="Length mismatch"):
obj.columns = obj.columns[::2]
class TestDataFrameSetAxis(SharedSetAxisTests):
@pytest.fixture
def obj(self):
df = DataFrame(
{"A": [1.1, 2.2, 3.3], "B": [5.0, 6.1, 7.2], "C": [4.4, 5.5, 6.6]},
index=[2010, 2011, 2012],
)
return df
class TestSeriesSetAxis(SharedSetAxisTests):
@pytest.fixture
def obj(self):
ser = Series(np.arange(4), index=[1, 3, 5, 7], dtype="int64")
return ser
def test_nonkeyword_arguments_deprecation_warning():
# https://github.com/pandas-dev/pandas/issues/41485
df = DataFrame({"a": [1, 2, 3]})
msg = (
r"In a future version of pandas all arguments of DataFrame\.set_axis "
r"except for the argument 'labels' will be keyword-only"
)
with tm.assert_produces_warning(FutureWarning, match=msg):
result = df.set_axis([1, 2, 4], 0)
expected = DataFrame({"a": [1, 2, 3]}, index=[1, 2, 4])
tm.assert_frame_equal(result, expected)
ser = Series([1, 2, 3])
msg = (
r"In a future version of pandas all arguments of Series\.set_axis "
r"except for the argument 'labels' will be keyword-only"
)
with tm.assert_produces_warning(FutureWarning, match=msg):
result = ser.set_axis([1, 2, 4], 0)
expected = Series([1, 2, 3], index=[1, 2, 4])
tm.assert_series_equal(result, expected)