203 lines
5.7 KiB
Python
203 lines
5.7 KiB
Python
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)
|
|
|
|
|
|
@pytest.mark.parametrize("name, exp", [("b", "b"), ("c", None)])
|
|
def test_append_names_match(name, exp):
|
|
# GH#48288
|
|
midx = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["a", "b"])
|
|
midx2 = MultiIndex.from_arrays([[3], [5]], names=["a", name])
|
|
result = midx.append(midx2)
|
|
expected = MultiIndex.from_arrays([[1, 2, 3], [3, 4, 5]], names=["a", exp])
|
|
tm.assert_index_equal(result, expected)
|
|
|
|
|
|
def test_append_names_dont_match():
|
|
# GH#48288
|
|
midx = MultiIndex.from_arrays([[1, 2], [3, 4]], names=["a", "b"])
|
|
midx2 = MultiIndex.from_arrays([[3], [5]], names=["x", "y"])
|
|
result = midx.append(midx2)
|
|
expected = MultiIndex.from_arrays([[1, 2, 3], [3, 4, 5]], names=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))
|