You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
162 lines
4.6 KiB
162 lines
4.6 KiB
import numpy as np
|
|
import pytest
|
|
|
|
from pandas._libs.tslibs import iNaT
|
|
from pandas._libs.tslibs.period import IncompatibleFrequency
|
|
|
|
from pandas.core.dtypes.base import _registry as registry
|
|
from pandas.core.dtypes.dtypes import PeriodDtype
|
|
|
|
import pandas as pd
|
|
import pandas._testing as tm
|
|
from pandas.core.arrays import (
|
|
PeriodArray,
|
|
period_array,
|
|
)
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# Dtype
|
|
|
|
|
|
def test_registered():
|
|
assert PeriodDtype in registry.dtypes
|
|
result = registry.find("Period[D]")
|
|
expected = PeriodDtype("D")
|
|
assert result == expected
|
|
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# period_array
|
|
|
|
|
|
def test_asi8():
|
|
result = period_array(["2000", "2001", None], freq="D").asi8
|
|
expected = np.array([10957, 11323, iNaT])
|
|
tm.assert_numpy_array_equal(result, expected)
|
|
|
|
|
|
def test_take_raises():
|
|
arr = period_array(["2000", "2001"], freq="D")
|
|
with pytest.raises(IncompatibleFrequency, match="freq"):
|
|
arr.take([0, -1], allow_fill=True, fill_value=pd.Period("2000", freq="W"))
|
|
|
|
msg = "value should be a 'Period' or 'NaT'. Got 'str' instead"
|
|
with pytest.raises(TypeError, match=msg):
|
|
arr.take([0, -1], allow_fill=True, fill_value="foo")
|
|
|
|
|
|
def test_fillna_raises():
|
|
arr = period_array(["2000", "2001", "2002"], freq="D")
|
|
with pytest.raises(ValueError, match="Length"):
|
|
arr.fillna(arr[:2])
|
|
|
|
|
|
def test_fillna_copies():
|
|
arr = period_array(["2000", "2001", "2002"], freq="D")
|
|
result = arr.fillna(pd.Period("2000", "D"))
|
|
assert result is not arr
|
|
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# setitem
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"key, value, expected",
|
|
[
|
|
([0], pd.Period("2000", "D"), [10957, 1, 2]),
|
|
([0], None, [iNaT, 1, 2]),
|
|
([0], np.nan, [iNaT, 1, 2]),
|
|
([0, 1, 2], pd.Period("2000", "D"), [10957] * 3),
|
|
(
|
|
[0, 1, 2],
|
|
[pd.Period("2000", "D"), pd.Period("2001", "D"), pd.Period("2002", "D")],
|
|
[10957, 11323, 11688],
|
|
),
|
|
],
|
|
)
|
|
def test_setitem(key, value, expected):
|
|
arr = PeriodArray(np.arange(3), freq="D")
|
|
expected = PeriodArray(expected, freq="D")
|
|
arr[key] = value
|
|
tm.assert_period_array_equal(arr, expected)
|
|
|
|
|
|
def test_setitem_raises_incompatible_freq():
|
|
arr = PeriodArray(np.arange(3), freq="D")
|
|
with pytest.raises(IncompatibleFrequency, match="freq"):
|
|
arr[0] = pd.Period("2000", freq="A")
|
|
|
|
other = period_array(["2000", "2001"], freq="A")
|
|
with pytest.raises(IncompatibleFrequency, match="freq"):
|
|
arr[[0, 1]] = other
|
|
|
|
|
|
def test_setitem_raises_length():
|
|
arr = PeriodArray(np.arange(3), freq="D")
|
|
with pytest.raises(ValueError, match="length"):
|
|
arr[[0, 1]] = [pd.Period("2000", freq="D")]
|
|
|
|
|
|
def test_setitem_raises_type():
|
|
arr = PeriodArray(np.arange(3), freq="D")
|
|
with pytest.raises(TypeError, match="int"):
|
|
arr[0] = 1
|
|
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# Ops
|
|
|
|
|
|
def test_sub_period():
|
|
arr = period_array(["2000", "2001"], freq="D")
|
|
other = pd.Period("2000", freq="M")
|
|
with pytest.raises(IncompatibleFrequency, match="freq"):
|
|
arr - other
|
|
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# Methods
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"other",
|
|
[pd.Period("2000", freq="H"), period_array(["2000", "2001", "2000"], freq="H")],
|
|
)
|
|
def test_where_different_freq_raises(other):
|
|
ser = pd.Series(period_array(["2000", "2001", "2002"], freq="D"))
|
|
cond = np.array([True, False, True])
|
|
with pytest.raises(IncompatibleFrequency, match="freq"):
|
|
ser.where(cond, other)
|
|
|
|
|
|
# ----------------------------------------------------------------------------
|
|
# Printing
|
|
|
|
|
|
def test_repr_small():
|
|
arr = period_array(["2000", "2001"], freq="D")
|
|
result = str(arr)
|
|
expected = (
|
|
"<PeriodArray>\n['2000-01-01', '2001-01-01']\nLength: 2, dtype: period[D]"
|
|
)
|
|
assert result == expected
|
|
|
|
|
|
def test_repr_large():
|
|
arr = period_array(["2000", "2001"] * 500, freq="D")
|
|
result = str(arr)
|
|
expected = (
|
|
"<PeriodArray>\n"
|
|
"['2000-01-01', '2001-01-01', '2000-01-01', '2001-01-01', "
|
|
"'2000-01-01',\n"
|
|
" '2001-01-01', '2000-01-01', '2001-01-01', '2000-01-01', "
|
|
"'2001-01-01',\n"
|
|
" ...\n"
|
|
" '2000-01-01', '2001-01-01', '2000-01-01', '2001-01-01', "
|
|
"'2000-01-01',\n"
|
|
" '2001-01-01', '2000-01-01', '2001-01-01', '2000-01-01', "
|
|
"'2001-01-01']\n"
|
|
"Length: 1000, dtype: period[D]"
|
|
)
|
|
assert result == expected
|
|
|