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- import numpy as np
- import pytest
- import pandas as pd
- from pandas import Index, MultiIndex
- import pandas._testing as tm
- def test_insert(idx):
- # key contained in all levels
- new_index = idx.insert(0, ("bar", "two"))
- assert new_index.equal_levels(idx)
- assert new_index[0] == ("bar", "two")
- # key not contained in all levels
- new_index = idx.insert(0, ("abc", "three"))
- exp0 = Index(list(idx.levels[0]) + ["abc"], name="first")
- tm.assert_index_equal(new_index.levels[0], exp0)
- assert new_index.names == ["first", "second"]
- exp1 = Index(list(idx.levels[1]) + ["three"], name="second")
- tm.assert_index_equal(new_index.levels[1], exp1)
- assert new_index[0] == ("abc", "three")
- # key wrong length
- msg = "Item must have length equal to number of levels"
- with pytest.raises(ValueError, match=msg):
- idx.insert(0, ("foo2",))
- left = pd.DataFrame([["a", "b", 0], ["b", "d", 1]], columns=["1st", "2nd", "3rd"])
- left.set_index(["1st", "2nd"], inplace=True)
- ts = left["3rd"].copy(deep=True)
- left.loc[("b", "x"), "3rd"] = 2
- left.loc[("b", "a"), "3rd"] = -1
- left.loc[("b", "b"), "3rd"] = 3
- left.loc[("a", "x"), "3rd"] = 4
- left.loc[("a", "w"), "3rd"] = 5
- left.loc[("a", "a"), "3rd"] = 6
- ts.loc[("b", "x")] = 2
- ts.loc["b", "a"] = -1
- ts.loc[("b", "b")] = 3
- ts.loc["a", "x"] = 4
- ts.loc[("a", "w")] = 5
- ts.loc["a", "a"] = 6
- right = pd.DataFrame(
- [
- ["a", "b", 0],
- ["b", "d", 1],
- ["b", "x", 2],
- ["b", "a", -1],
- ["b", "b", 3],
- ["a", "x", 4],
- ["a", "w", 5],
- ["a", "a", 6],
- ],
- columns=["1st", "2nd", "3rd"],
- )
- right.set_index(["1st", "2nd"], inplace=True)
- # FIXME data types changes to float because
- # of intermediate nan insertion;
- tm.assert_frame_equal(left, right, check_dtype=False)
- tm.assert_series_equal(ts, right["3rd"])
- # GH9250
- idx = (
- [("test1", i) for i in range(5)]
- + [("test2", i) for i in range(6)]
- + [("test", 17), ("test", 18)]
- )
- left = pd.Series(np.linspace(0, 10, 11), pd.MultiIndex.from_tuples(idx[:-2]))
- left.loc[("test", 17)] = 11
- left.loc[("test", 18)] = 12
- right = pd.Series(np.linspace(0, 12, 13), pd.MultiIndex.from_tuples(idx))
- tm.assert_series_equal(left, right)
- def test_append(idx):
- result = idx[:3].append(idx[3:])
- assert result.equals(idx)
- foos = [idx[:1], idx[1:3], idx[3:]]
- result = foos[0].append(foos[1:])
- assert result.equals(idx)
- # empty
- result = idx.append([])
- assert result.equals(idx)
- def test_repeat():
- reps = 2
- numbers = [1, 2, 3]
- names = np.array(["foo", "bar"])
- m = MultiIndex.from_product([numbers, names], names=names)
- expected = MultiIndex.from_product([numbers, names.repeat(reps)], names=names)
- tm.assert_index_equal(m.repeat(reps), expected)
- def test_insert_base(idx):
- result = idx[1:4]
- # test 0th element
- assert idx[0:4].equals(result.insert(0, idx[0]))
- def test_delete_base(idx):
- expected = idx[1:]
- result = idx.delete(0)
- assert result.equals(expected)
- assert result.name == expected.name
- expected = idx[:-1]
- result = idx.delete(-1)
- assert result.equals(expected)
- assert result.name == expected.name
- with pytest.raises((IndexError, ValueError)):
- # Exception raised depends on NumPy version.
- idx.delete(len(idx))
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