370 lines
12 KiB
Python
370 lines
12 KiB
Python
|
import numpy as np
|
||
|
|
import pytest
|
||
|
|
|
||
|
|
from pandas.compat import PY311
|
||
|
|
|
||
|
|
from pandas.core.dtypes.dtypes import DatetimeTZDtype
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
from pandas import (
|
||
|
|
CategoricalIndex,
|
||
|
|
MultiIndex,
|
||
|
|
)
|
||
|
|
import pandas._testing as tm
|
||
|
|
|
||
|
|
|
||
|
|
def assert_matching(actual, expected, check_dtype=False):
|
||
|
|
# avoid specifying internal representation
|
||
|
|
# as much as possible
|
||
|
|
assert len(actual) == len(expected)
|
||
|
|
for act, exp in zip(actual, expected):
|
||
|
|
act = np.asarray(act)
|
||
|
|
exp = np.asarray(exp)
|
||
|
|
tm.assert_numpy_array_equal(act, exp, check_dtype=check_dtype)
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_level_number_integer(idx):
|
||
|
|
idx.names = [1, 0]
|
||
|
|
assert idx._get_level_number(1) == 0
|
||
|
|
assert idx._get_level_number(0) == 1
|
||
|
|
msg = "Too many levels: Index has only 2 levels, not 3"
|
||
|
|
with pytest.raises(IndexError, match=msg):
|
||
|
|
idx._get_level_number(2)
|
||
|
|
with pytest.raises(KeyError, match="Level fourth not found"):
|
||
|
|
idx._get_level_number("fourth")
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_dtypes():
|
||
|
|
# Test MultiIndex.dtypes (# Gh37062)
|
||
|
|
idx_multitype = MultiIndex.from_product(
|
||
|
|
[[1, 2, 3], ["a", "b", "c"], pd.date_range("20200101", periods=2, tz="UTC")],
|
||
|
|
names=["int", "string", "dt"],
|
||
|
|
)
|
||
|
|
expected = pd.Series(
|
||
|
|
{
|
||
|
|
"int": np.dtype("int64"),
|
||
|
|
"string": np.dtype("O"),
|
||
|
|
"dt": DatetimeTZDtype(tz="utc"),
|
||
|
|
}
|
||
|
|
)
|
||
|
|
tm.assert_series_equal(expected, idx_multitype.dtypes)
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_dtypes_no_level_name():
|
||
|
|
# Test MultiIndex.dtypes (# GH38580 )
|
||
|
|
idx_multitype = MultiIndex.from_product(
|
||
|
|
[
|
||
|
|
[1, 2, 3],
|
||
|
|
["a", "b", "c"],
|
||
|
|
pd.date_range("20200101", periods=2, tz="UTC"),
|
||
|
|
],
|
||
|
|
)
|
||
|
|
expected = pd.Series(
|
||
|
|
{
|
||
|
|
"level_0": np.dtype("int64"),
|
||
|
|
"level_1": np.dtype("O"),
|
||
|
|
"level_2": DatetimeTZDtype(tz="utc"),
|
||
|
|
}
|
||
|
|
)
|
||
|
|
tm.assert_series_equal(expected, idx_multitype.dtypes)
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_dtypes_duplicate_level_names():
|
||
|
|
# Test MultiIndex.dtypes with non-unique level names (# GH45174)
|
||
|
|
result = MultiIndex.from_product(
|
||
|
|
[
|
||
|
|
[1, 2, 3],
|
||
|
|
["a", "b", "c"],
|
||
|
|
pd.date_range("20200101", periods=2, tz="UTC"),
|
||
|
|
],
|
||
|
|
names=["A", "A", "A"],
|
||
|
|
).dtypes
|
||
|
|
expected = pd.Series(
|
||
|
|
[np.dtype("int64"), np.dtype("O"), DatetimeTZDtype(tz="utc")],
|
||
|
|
index=["A", "A", "A"],
|
||
|
|
)
|
||
|
|
tm.assert_series_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_get_level_number_out_of_bounds(multiindex_dataframe_random_data):
|
||
|
|
frame = multiindex_dataframe_random_data
|
||
|
|
|
||
|
|
with pytest.raises(IndexError, match="Too many levels"):
|
||
|
|
frame.index._get_level_number(2)
|
||
|
|
with pytest.raises(IndexError, match="not a valid level number"):
|
||
|
|
frame.index._get_level_number(-3)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_name_methods(idx, index_names):
|
||
|
|
# so long as these are synonyms, we don't need to test set_names
|
||
|
|
assert idx.rename == idx.set_names
|
||
|
|
new_names = [name + "SUFFIX" for name in index_names]
|
||
|
|
ind = idx.set_names(new_names)
|
||
|
|
assert idx.names == index_names
|
||
|
|
assert ind.names == new_names
|
||
|
|
msg = "Length of names must match number of levels in MultiIndex"
|
||
|
|
with pytest.raises(ValueError, match=msg):
|
||
|
|
ind.set_names(new_names + new_names)
|
||
|
|
new_names2 = [name + "SUFFIX2" for name in new_names]
|
||
|
|
res = ind.set_names(new_names2, inplace=True)
|
||
|
|
assert res is None
|
||
|
|
assert ind.names == new_names2
|
||
|
|
|
||
|
|
# set names for specific level (# GH7792)
|
||
|
|
ind = idx.set_names(new_names[0], level=0)
|
||
|
|
assert idx.names == index_names
|
||
|
|
assert ind.names == [new_names[0], index_names[1]]
|
||
|
|
|
||
|
|
res = ind.set_names(new_names2[0], level=0, inplace=True)
|
||
|
|
assert res is None
|
||
|
|
assert ind.names == [new_names2[0], index_names[1]]
|
||
|
|
|
||
|
|
# set names for multiple levels
|
||
|
|
ind = idx.set_names(new_names, level=[0, 1])
|
||
|
|
assert idx.names == index_names
|
||
|
|
assert ind.names == new_names
|
||
|
|
|
||
|
|
res = ind.set_names(new_names2, level=[0, 1], inplace=True)
|
||
|
|
assert res is None
|
||
|
|
assert ind.names == new_names2
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_levels_codes_directly(idx):
|
||
|
|
# setting levels/codes directly raises AttributeError
|
||
|
|
|
||
|
|
levels = idx.levels
|
||
|
|
new_levels = [[lev + "a" for lev in level] for level in levels]
|
||
|
|
|
||
|
|
codes = idx.codes
|
||
|
|
major_codes, minor_codes = codes
|
||
|
|
major_codes = [(x + 1) % 3 for x in major_codes]
|
||
|
|
minor_codes = [(x + 1) % 1 for x in minor_codes]
|
||
|
|
new_codes = [major_codes, minor_codes]
|
||
|
|
|
||
|
|
msg = "Can't set attribute"
|
||
|
|
with pytest.raises(AttributeError, match=msg):
|
||
|
|
idx.levels = new_levels
|
||
|
|
|
||
|
|
msg = (
|
||
|
|
"property 'codes' of 'MultiIndex' object has no setter"
|
||
|
|
if PY311
|
||
|
|
else "can't set attribute"
|
||
|
|
)
|
||
|
|
with pytest.raises(AttributeError, match=msg):
|
||
|
|
idx.codes = new_codes
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_levels(idx):
|
||
|
|
# side note - you probably wouldn't want to use levels and codes
|
||
|
|
# directly like this - but it is possible.
|
||
|
|
levels = idx.levels
|
||
|
|
new_levels = [[lev + "a" for lev in level] for level in levels]
|
||
|
|
|
||
|
|
# level changing [w/o mutation]
|
||
|
|
ind2 = idx.set_levels(new_levels)
|
||
|
|
assert_matching(ind2.levels, new_levels)
|
||
|
|
assert_matching(idx.levels, levels)
|
||
|
|
|
||
|
|
# level changing specific level [w/o mutation]
|
||
|
|
ind2 = idx.set_levels(new_levels[0], level=0)
|
||
|
|
assert_matching(ind2.levels, [new_levels[0], levels[1]])
|
||
|
|
assert_matching(idx.levels, levels)
|
||
|
|
|
||
|
|
ind2 = idx.set_levels(new_levels[1], level=1)
|
||
|
|
assert_matching(ind2.levels, [levels[0], new_levels[1]])
|
||
|
|
assert_matching(idx.levels, levels)
|
||
|
|
|
||
|
|
# level changing multiple levels [w/o mutation]
|
||
|
|
ind2 = idx.set_levels(new_levels, level=[0, 1])
|
||
|
|
assert_matching(ind2.levels, new_levels)
|
||
|
|
assert_matching(idx.levels, levels)
|
||
|
|
|
||
|
|
# illegal level changing should not change levels
|
||
|
|
# GH 13754
|
||
|
|
original_index = idx.copy()
|
||
|
|
with pytest.raises(ValueError, match="^On"):
|
||
|
|
idx.set_levels(["c"], level=0)
|
||
|
|
assert_matching(idx.levels, original_index.levels, check_dtype=True)
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="^On"):
|
||
|
|
idx.set_codes([0, 1, 2, 3, 4, 5], level=0)
|
||
|
|
assert_matching(idx.codes, original_index.codes, check_dtype=True)
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="^Levels"):
|
||
|
|
idx.set_levels("c", level=0)
|
||
|
|
assert_matching(idx.levels, original_index.levels, check_dtype=True)
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="^Codes"):
|
||
|
|
idx.set_codes(1, level=0)
|
||
|
|
assert_matching(idx.codes, original_index.codes, check_dtype=True)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_codes(idx):
|
||
|
|
# side note - you probably wouldn't want to use levels and codes
|
||
|
|
# directly like this - but it is possible.
|
||
|
|
codes = idx.codes
|
||
|
|
major_codes, minor_codes = codes
|
||
|
|
major_codes = [(x + 1) % 3 for x in major_codes]
|
||
|
|
minor_codes = [(x + 1) % 1 for x in minor_codes]
|
||
|
|
new_codes = [major_codes, minor_codes]
|
||
|
|
|
||
|
|
# changing codes w/o mutation
|
||
|
|
ind2 = idx.set_codes(new_codes)
|
||
|
|
assert_matching(ind2.codes, new_codes)
|
||
|
|
assert_matching(idx.codes, codes)
|
||
|
|
|
||
|
|
# codes changing specific level w/o mutation
|
||
|
|
ind2 = idx.set_codes(new_codes[0], level=0)
|
||
|
|
assert_matching(ind2.codes, [new_codes[0], codes[1]])
|
||
|
|
assert_matching(idx.codes, codes)
|
||
|
|
|
||
|
|
ind2 = idx.set_codes(new_codes[1], level=1)
|
||
|
|
assert_matching(ind2.codes, [codes[0], new_codes[1]])
|
||
|
|
assert_matching(idx.codes, codes)
|
||
|
|
|
||
|
|
# codes changing multiple levels w/o mutation
|
||
|
|
ind2 = idx.set_codes(new_codes, level=[0, 1])
|
||
|
|
assert_matching(ind2.codes, new_codes)
|
||
|
|
assert_matching(idx.codes, codes)
|
||
|
|
|
||
|
|
# label changing for levels of different magnitude of categories
|
||
|
|
ind = MultiIndex.from_tuples([(0, i) for i in range(130)])
|
||
|
|
new_codes = range(129, -1, -1)
|
||
|
|
expected = MultiIndex.from_tuples([(0, i) for i in new_codes])
|
||
|
|
|
||
|
|
# [w/o mutation]
|
||
|
|
result = ind.set_codes(codes=new_codes, level=1)
|
||
|
|
assert result.equals(expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_levels_codes_names_bad_input(idx):
|
||
|
|
levels, codes = idx.levels, idx.codes
|
||
|
|
names = idx.names
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="Length of levels"):
|
||
|
|
idx.set_levels([levels[0]])
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="Length of codes"):
|
||
|
|
idx.set_codes([codes[0]])
|
||
|
|
|
||
|
|
with pytest.raises(ValueError, match="Length of names"):
|
||
|
|
idx.set_names([names[0]])
|
||
|
|
|
||
|
|
# shouldn't scalar data error, instead should demand list-like
|
||
|
|
with pytest.raises(TypeError, match="list of lists-like"):
|
||
|
|
idx.set_levels(levels[0])
|
||
|
|
|
||
|
|
# shouldn't scalar data error, instead should demand list-like
|
||
|
|
with pytest.raises(TypeError, match="list of lists-like"):
|
||
|
|
idx.set_codes(codes[0])
|
||
|
|
|
||
|
|
# shouldn't scalar data error, instead should demand list-like
|
||
|
|
with pytest.raises(TypeError, match="list-like"):
|
||
|
|
idx.set_names(names[0])
|
||
|
|
|
||
|
|
# should have equal lengths
|
||
|
|
with pytest.raises(TypeError, match="list of lists-like"):
|
||
|
|
idx.set_levels(levels[0], level=[0, 1])
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="list-like"):
|
||
|
|
idx.set_levels(levels, level=0)
|
||
|
|
|
||
|
|
# should have equal lengths
|
||
|
|
with pytest.raises(TypeError, match="list of lists-like"):
|
||
|
|
idx.set_codes(codes[0], level=[0, 1])
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="list-like"):
|
||
|
|
idx.set_codes(codes, level=0)
|
||
|
|
|
||
|
|
# should have equal lengths
|
||
|
|
with pytest.raises(ValueError, match="Length of names"):
|
||
|
|
idx.set_names(names[0], level=[0, 1])
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="Names must be a"):
|
||
|
|
idx.set_names(names, level=0)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("inplace", [True, False])
|
||
|
|
def test_set_names_with_nlevel_1(inplace):
|
||
|
|
# GH 21149
|
||
|
|
# Ensure that .set_names for MultiIndex with
|
||
|
|
# nlevels == 1 does not raise any errors
|
||
|
|
expected = MultiIndex(levels=[[0, 1]], codes=[[0, 1]], names=["first"])
|
||
|
|
m = MultiIndex.from_product([[0, 1]])
|
||
|
|
result = m.set_names("first", level=0, inplace=inplace)
|
||
|
|
|
||
|
|
if inplace:
|
||
|
|
result = m
|
||
|
|
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("ordered", [True, False])
|
||
|
|
def test_set_levels_categorical(ordered):
|
||
|
|
# GH13854
|
||
|
|
index = MultiIndex.from_arrays([list("xyzx"), [0, 1, 2, 3]])
|
||
|
|
|
||
|
|
cidx = CategoricalIndex(list("bac"), ordered=ordered)
|
||
|
|
result = index.set_levels(cidx, level=0)
|
||
|
|
expected = MultiIndex(levels=[cidx, [0, 1, 2, 3]], codes=index.codes)
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
result_lvl = result.get_level_values(0)
|
||
|
|
expected_lvl = CategoricalIndex(
|
||
|
|
list("bacb"), categories=cidx.categories, ordered=cidx.ordered
|
||
|
|
)
|
||
|
|
tm.assert_index_equal(result_lvl, expected_lvl)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_value_keeps_names():
|
||
|
|
# motivating example from #3742
|
||
|
|
lev1 = ["hans", "hans", "hans", "grethe", "grethe", "grethe"]
|
||
|
|
lev2 = ["1", "2", "3"] * 2
|
||
|
|
idx = MultiIndex.from_arrays([lev1, lev2], names=["Name", "Number"])
|
||
|
|
df = pd.DataFrame(
|
||
|
|
np.random.randn(6, 4), columns=["one", "two", "three", "four"], index=idx
|
||
|
|
)
|
||
|
|
df = df.sort_index()
|
||
|
|
assert df._is_copy is None
|
||
|
|
assert df.index.names == ("Name", "Number")
|
||
|
|
df.at[("grethe", "4"), "one"] = 99.34
|
||
|
|
assert df._is_copy is None
|
||
|
|
assert df.index.names == ("Name", "Number")
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_levels_with_iterable():
|
||
|
|
# GH23273
|
||
|
|
sizes = [1, 2, 3]
|
||
|
|
colors = ["black"] * 3
|
||
|
|
index = MultiIndex.from_arrays([sizes, colors], names=["size", "color"])
|
||
|
|
|
||
|
|
result = index.set_levels(map(int, ["3", "2", "1"]), level="size")
|
||
|
|
|
||
|
|
expected_sizes = [3, 2, 1]
|
||
|
|
expected = MultiIndex.from_arrays([expected_sizes, colors], names=["size", "color"])
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_empty_level():
|
||
|
|
# GH#48636
|
||
|
|
midx = MultiIndex.from_arrays([[]], names=["A"])
|
||
|
|
result = midx.set_levels(pd.DatetimeIndex([]), level=0)
|
||
|
|
expected = MultiIndex.from_arrays([pd.DatetimeIndex([])], names=["A"])
|
||
|
|
tm.assert_index_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_levels_pos_args_removal():
|
||
|
|
# https://github.com/pandas-dev/pandas/issues/41485
|
||
|
|
idx = MultiIndex.from_tuples(
|
||
|
|
[
|
||
|
|
(1, "one"),
|
||
|
|
(3, "one"),
|
||
|
|
],
|
||
|
|
names=["foo", "bar"],
|
||
|
|
)
|
||
|
|
with pytest.raises(TypeError, match="positional arguments"):
|
||
|
|
idx.set_levels(["a", "b", "c"], 0)
|
||
|
|
|
||
|
|
with pytest.raises(TypeError, match="positional arguments"):
|
||
|
|
idx.set_codes([[0, 1], [1, 0]], 0)
|