385 lines
12 KiB
Python
385 lines
12 KiB
Python
import numpy as np
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import pytest
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from pandas.compat import PY311
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from pandas.core.dtypes.dtypes import DatetimeTZDtype
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import pandas as pd
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from pandas import (
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CategoricalIndex,
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MultiIndex,
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)
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import pandas._testing as tm
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def assert_matching(actual, expected, check_dtype=False):
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# avoid specifying internal representation
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# as much as possible
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assert len(actual) == len(expected)
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for act, exp in zip(actual, expected):
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act = np.asarray(act)
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exp = np.asarray(exp)
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tm.assert_numpy_array_equal(act, exp, check_dtype=check_dtype)
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def test_get_level_number_integer(idx):
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idx.names = [1, 0]
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assert idx._get_level_number(1) == 0
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assert idx._get_level_number(0) == 1
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msg = "Too many levels: Index has only 2 levels, not 3"
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with pytest.raises(IndexError, match=msg):
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idx._get_level_number(2)
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with pytest.raises(KeyError, match="Level fourth not found"):
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idx._get_level_number("fourth")
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def test_get_dtypes(using_infer_string):
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# Test MultiIndex.dtypes (# Gh37062)
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idx_multitype = MultiIndex.from_product(
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[[1, 2, 3], ["a", "b", "c"], pd.date_range("20200101", periods=2, tz="UTC")],
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names=["int", "string", "dt"],
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)
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exp = "object" if not using_infer_string else "string"
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expected = pd.Series(
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{
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"int": np.dtype("int64"),
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"string": exp,
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"dt": DatetimeTZDtype(tz="utc"),
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}
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)
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tm.assert_series_equal(expected, idx_multitype.dtypes)
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def test_get_dtypes_no_level_name(using_infer_string):
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# Test MultiIndex.dtypes (# GH38580 )
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idx_multitype = MultiIndex.from_product(
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[
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[1, 2, 3],
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["a", "b", "c"],
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pd.date_range("20200101", periods=2, tz="UTC"),
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],
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)
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exp = "object" if not using_infer_string else "string"
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expected = pd.Series(
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{
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"level_0": np.dtype("int64"),
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"level_1": exp,
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"level_2": DatetimeTZDtype(tz="utc"),
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}
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)
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tm.assert_series_equal(expected, idx_multitype.dtypes)
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def test_get_dtypes_duplicate_level_names(using_infer_string):
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# Test MultiIndex.dtypes with non-unique level names (# GH45174)
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result = MultiIndex.from_product(
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[
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[1, 2, 3],
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["a", "b", "c"],
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pd.date_range("20200101", periods=2, tz="UTC"),
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],
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names=["A", "A", "A"],
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).dtypes
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exp = "object" if not using_infer_string else "string"
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expected = pd.Series(
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[np.dtype("int64"), exp, DatetimeTZDtype(tz="utc")],
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index=["A", "A", "A"],
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)
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tm.assert_series_equal(result, expected)
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def test_get_level_number_out_of_bounds(multiindex_dataframe_random_data):
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frame = multiindex_dataframe_random_data
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with pytest.raises(IndexError, match="Too many levels"):
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frame.index._get_level_number(2)
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with pytest.raises(IndexError, match="not a valid level number"):
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frame.index._get_level_number(-3)
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def test_set_name_methods(idx):
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# so long as these are synonyms, we don't need to test set_names
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index_names = ["first", "second"]
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assert idx.rename == idx.set_names
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new_names = [name + "SUFFIX" for name in index_names]
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ind = idx.set_names(new_names)
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assert idx.names == index_names
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assert ind.names == new_names
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msg = "Length of names must match number of levels in MultiIndex"
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with pytest.raises(ValueError, match=msg):
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ind.set_names(new_names + new_names)
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new_names2 = [name + "SUFFIX2" for name in new_names]
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res = ind.set_names(new_names2, inplace=True)
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assert res is None
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assert ind.names == new_names2
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# set names for specific level (# GH7792)
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ind = idx.set_names(new_names[0], level=0)
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assert idx.names == index_names
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assert ind.names == [new_names[0], index_names[1]]
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res = ind.set_names(new_names2[0], level=0, inplace=True)
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assert res is None
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assert ind.names == [new_names2[0], index_names[1]]
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# set names for multiple levels
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ind = idx.set_names(new_names, level=[0, 1])
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assert idx.names == index_names
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assert ind.names == new_names
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res = ind.set_names(new_names2, level=[0, 1], inplace=True)
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assert res is None
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assert ind.names == new_names2
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def test_set_levels_codes_directly(idx):
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# setting levels/codes directly raises AttributeError
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levels = idx.levels
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new_levels = [[lev + "a" for lev in level] for level in levels]
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codes = idx.codes
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major_codes, minor_codes = codes
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major_codes = [(x + 1) % 3 for x in major_codes]
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minor_codes = [(x + 1) % 1 for x in minor_codes]
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new_codes = [major_codes, minor_codes]
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msg = "Can't set attribute"
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with pytest.raises(AttributeError, match=msg):
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idx.levels = new_levels
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msg = (
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"property 'codes' of 'MultiIndex' object has no setter"
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if PY311
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else "can't set attribute"
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)
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with pytest.raises(AttributeError, match=msg):
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idx.codes = new_codes
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def test_set_levels(idx):
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# side note - you probably wouldn't want to use levels and codes
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# directly like this - but it is possible.
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levels = idx.levels
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new_levels = [[lev + "a" for lev in level] for level in levels]
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# level changing [w/o mutation]
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ind2 = idx.set_levels(new_levels)
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assert_matching(ind2.levels, new_levels)
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assert_matching(idx.levels, levels)
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# level changing specific level [w/o mutation]
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ind2 = idx.set_levels(new_levels[0], level=0)
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assert_matching(ind2.levels, [new_levels[0], levels[1]])
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assert_matching(idx.levels, levels)
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ind2 = idx.set_levels(new_levels[1], level=1)
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assert_matching(ind2.levels, [levels[0], new_levels[1]])
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assert_matching(idx.levels, levels)
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# level changing multiple levels [w/o mutation]
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ind2 = idx.set_levels(new_levels, level=[0, 1])
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assert_matching(ind2.levels, new_levels)
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assert_matching(idx.levels, levels)
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# illegal level changing should not change levels
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# GH 13754
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original_index = idx.copy()
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with pytest.raises(ValueError, match="^On"):
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idx.set_levels(["c"], level=0)
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assert_matching(idx.levels, original_index.levels, check_dtype=True)
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with pytest.raises(ValueError, match="^On"):
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idx.set_codes([0, 1, 2, 3, 4, 5], level=0)
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assert_matching(idx.codes, original_index.codes, check_dtype=True)
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with pytest.raises(TypeError, match="^Levels"):
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idx.set_levels("c", level=0)
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assert_matching(idx.levels, original_index.levels, check_dtype=True)
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with pytest.raises(TypeError, match="^Codes"):
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idx.set_codes(1, level=0)
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assert_matching(idx.codes, original_index.codes, check_dtype=True)
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def test_set_codes(idx):
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# side note - you probably wouldn't want to use levels and codes
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# directly like this - but it is possible.
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codes = idx.codes
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major_codes, minor_codes = codes
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major_codes = [(x + 1) % 3 for x in major_codes]
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minor_codes = [(x + 1) % 1 for x in minor_codes]
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new_codes = [major_codes, minor_codes]
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# changing codes w/o mutation
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ind2 = idx.set_codes(new_codes)
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assert_matching(ind2.codes, new_codes)
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assert_matching(idx.codes, codes)
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# codes changing specific level w/o mutation
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ind2 = idx.set_codes(new_codes[0], level=0)
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assert_matching(ind2.codes, [new_codes[0], codes[1]])
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assert_matching(idx.codes, codes)
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ind2 = idx.set_codes(new_codes[1], level=1)
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assert_matching(ind2.codes, [codes[0], new_codes[1]])
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assert_matching(idx.codes, codes)
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# codes changing multiple levels w/o mutation
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ind2 = idx.set_codes(new_codes, level=[0, 1])
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assert_matching(ind2.codes, new_codes)
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assert_matching(idx.codes, codes)
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# label changing for levels of different magnitude of categories
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ind = MultiIndex.from_tuples([(0, i) for i in range(130)])
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new_codes = range(129, -1, -1)
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expected = MultiIndex.from_tuples([(0, i) for i in new_codes])
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# [w/o mutation]
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result = ind.set_codes(codes=new_codes, level=1)
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assert result.equals(expected)
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def test_set_levels_codes_names_bad_input(idx):
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levels, codes = idx.levels, idx.codes
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names = idx.names
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with pytest.raises(ValueError, match="Length of levels"):
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idx.set_levels([levels[0]])
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with pytest.raises(ValueError, match="Length of codes"):
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idx.set_codes([codes[0]])
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with pytest.raises(ValueError, match="Length of names"):
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idx.set_names([names[0]])
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# shouldn't scalar data error, instead should demand list-like
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with pytest.raises(TypeError, match="list of lists-like"):
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idx.set_levels(levels[0])
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# shouldn't scalar data error, instead should demand list-like
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with pytest.raises(TypeError, match="list of lists-like"):
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idx.set_codes(codes[0])
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# shouldn't scalar data error, instead should demand list-like
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with pytest.raises(TypeError, match="list-like"):
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idx.set_names(names[0])
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# should have equal lengths
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with pytest.raises(TypeError, match="list of lists-like"):
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idx.set_levels(levels[0], level=[0, 1])
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with pytest.raises(TypeError, match="list-like"):
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idx.set_levels(levels, level=0)
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# should have equal lengths
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with pytest.raises(TypeError, match="list of lists-like"):
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idx.set_codes(codes[0], level=[0, 1])
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with pytest.raises(TypeError, match="list-like"):
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idx.set_codes(codes, level=0)
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# should have equal lengths
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with pytest.raises(ValueError, match="Length of names"):
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idx.set_names(names[0], level=[0, 1])
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with pytest.raises(TypeError, match="Names must be a"):
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idx.set_names(names, level=0)
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@pytest.mark.parametrize("inplace", [True, False])
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def test_set_names_with_nlevel_1(inplace):
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# GH 21149
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# Ensure that .set_names for MultiIndex with
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# nlevels == 1 does not raise any errors
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expected = MultiIndex(levels=[[0, 1]], codes=[[0, 1]], names=["first"])
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m = MultiIndex.from_product([[0, 1]])
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result = m.set_names("first", level=0, inplace=inplace)
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if inplace:
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result = m
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tm.assert_index_equal(result, expected)
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@pytest.mark.parametrize("ordered", [True, False])
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def test_set_levels_categorical(ordered):
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# GH13854
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index = MultiIndex.from_arrays([list("xyzx"), [0, 1, 2, 3]])
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cidx = CategoricalIndex(list("bac"), ordered=ordered)
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result = index.set_levels(cidx, level=0)
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expected = MultiIndex(levels=[cidx, [0, 1, 2, 3]], codes=index.codes)
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tm.assert_index_equal(result, expected)
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result_lvl = result.get_level_values(0)
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expected_lvl = CategoricalIndex(
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list("bacb"), categories=cidx.categories, ordered=cidx.ordered
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)
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tm.assert_index_equal(result_lvl, expected_lvl)
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def test_set_value_keeps_names():
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# motivating example from #3742
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lev1 = ["hans", "hans", "hans", "grethe", "grethe", "grethe"]
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lev2 = ["1", "2", "3"] * 2
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idx = MultiIndex.from_arrays([lev1, lev2], names=["Name", "Number"])
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df = pd.DataFrame(
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np.random.default_rng(2).standard_normal((6, 4)),
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columns=["one", "two", "three", "four"],
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index=idx,
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)
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df = df.sort_index()
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assert df._is_copy is None
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assert df.index.names == ("Name", "Number")
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df.at[("grethe", "4"), "one"] = 99.34
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assert df._is_copy is None
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assert df.index.names == ("Name", "Number")
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def test_set_levels_with_iterable():
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# GH23273
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sizes = [1, 2, 3]
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colors = ["black"] * 3
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index = MultiIndex.from_arrays([sizes, colors], names=["size", "color"])
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result = index.set_levels(map(int, ["3", "2", "1"]), level="size")
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expected_sizes = [3, 2, 1]
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expected = MultiIndex.from_arrays([expected_sizes, colors], names=["size", "color"])
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tm.assert_index_equal(result, expected)
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def test_set_empty_level():
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# GH#48636
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midx = MultiIndex.from_arrays([[]], names=["A"])
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result = midx.set_levels(pd.DatetimeIndex([]), level=0)
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expected = MultiIndex.from_arrays([pd.DatetimeIndex([])], names=["A"])
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tm.assert_index_equal(result, expected)
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def test_set_levels_pos_args_removal():
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# https://github.com/pandas-dev/pandas/issues/41485
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idx = MultiIndex.from_tuples(
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[
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(1, "one"),
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(3, "one"),
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],
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names=["foo", "bar"],
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)
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with pytest.raises(TypeError, match="positional arguments"):
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idx.set_levels(["a", "b", "c"], 0)
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with pytest.raises(TypeError, match="positional arguments"):
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idx.set_codes([[0, 1], [1, 0]], 0)
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def test_set_levels_categorical_keep_dtype():
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# GH#52125
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midx = MultiIndex.from_arrays([[5, 6]])
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result = midx.set_levels(levels=pd.Categorical([1, 2]), level=0)
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expected = MultiIndex.from_arrays([pd.Categorical([1, 2])])
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tm.assert_index_equal(result, expected)
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