ai-content-maker/.venv/Lib/site-packages/pandas/tests/indexes/multi/test_reshape.py

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2024-05-03 04:18:51 +03:00
from datetime import datetime
import numpy as np
import pytest
import pytz
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"])
def test_insert2():
# 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), MultiIndex.from_tuples(idx[:-2]))
left.loc[("test", 17)] = 11
left.loc[("test", 18)] = 12
right = pd.Series(np.linspace(0, 12, 13), 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_append_index():
idx1 = Index([1.1, 1.2, 1.3])
idx2 = pd.date_range("2011-01-01", freq="D", periods=3, tz="Asia/Tokyo")
idx3 = Index(["A", "B", "C"])
midx_lv2 = MultiIndex.from_arrays([idx1, idx2])
midx_lv3 = MultiIndex.from_arrays([idx1, idx2, idx3])
result = idx1.append(midx_lv2)
# see gh-7112
tz = pytz.timezone("Asia/Tokyo")
expected_tuples = [
(1.1, tz.localize(datetime(2011, 1, 1))),
(1.2, tz.localize(datetime(2011, 1, 2))),
(1.3, tz.localize(datetime(2011, 1, 3))),
]
expected = Index([1.1, 1.2, 1.3] + expected_tuples)
tm.assert_index_equal(result, expected)
result = midx_lv2.append(idx1)
expected = Index(expected_tuples + [1.1, 1.2, 1.3])
tm.assert_index_equal(result, expected)
result = midx_lv2.append(midx_lv2)
expected = MultiIndex.from_arrays([idx1.append(idx1), idx2.append(idx2)])
tm.assert_index_equal(result, expected)
result = midx_lv2.append(midx_lv3)
tm.assert_index_equal(result, expected)
result = midx_lv3.append(midx_lv2)
expected = Index._simple_new(
np.array(
[
(1.1, tz.localize(datetime(2011, 1, 1)), "A"),
(1.2, tz.localize(datetime(2011, 1, 2)), "B"),
(1.3, tz.localize(datetime(2011, 1, 3)), "C"),
]
+ expected_tuples,
dtype=object,
),
None,
)
tm.assert_index_equal(result, expected)
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
msg = "index 6 is out of bounds for axis 0 with size 6"
with pytest.raises(IndexError, match=msg):
idx.delete(len(idx))