206 lines
6.6 KiB
Python
206 lines
6.6 KiB
Python
|
import numpy as np
|
||
|
|
import pytest
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
from pandas import PeriodIndex, Series
|
||
|
|
import pandas._testing as tm
|
||
|
|
|
||
|
|
|
||
|
|
def test_to_native_types():
|
||
|
|
index = PeriodIndex(["2017-01-01", "2017-01-02", "2017-01-03"], freq="D")
|
||
|
|
|
||
|
|
# First, with no arguments.
|
||
|
|
expected = np.array(["2017-01-01", "2017-01-02", "2017-01-03"], dtype="=U10")
|
||
|
|
|
||
|
|
result = index._format_native_types()
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
# No NaN values, so na_rep has no effect
|
||
|
|
result = index._format_native_types(na_rep="pandas")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
# Make sure date formatting works
|
||
|
|
expected = np.array(["01-2017-01", "01-2017-02", "01-2017-03"], dtype="=U10")
|
||
|
|
|
||
|
|
result = index._format_native_types(date_format="%m-%Y-%d")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
# NULL object handling should work
|
||
|
|
index = PeriodIndex(["2017-01-01", pd.NaT, "2017-01-03"], freq="D")
|
||
|
|
expected = np.array(["2017-01-01", "NaT", "2017-01-03"], dtype=object)
|
||
|
|
|
||
|
|
result = index._format_native_types()
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
expected = np.array(["2017-01-01", "pandas", "2017-01-03"], dtype=object)
|
||
|
|
|
||
|
|
result = index._format_native_types(na_rep="pandas")
|
||
|
|
tm.assert_numpy_array_equal(result, expected)
|
||
|
|
|
||
|
|
|
||
|
|
class TestPeriodIndexRendering:
|
||
|
|
def test_frame_repr(self):
|
||
|
|
df = pd.DataFrame({"A": [1, 2, 3]}, index=pd.date_range("2000", periods=3))
|
||
|
|
result = repr(df)
|
||
|
|
expected = " A\n2000-01-01 1\n2000-01-02 2\n2000-01-03 3"
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
@pytest.mark.parametrize("method", ["__repr__", "__str__"])
|
||
|
|
def test_representation(self, method):
|
||
|
|
# GH#7601
|
||
|
|
idx1 = PeriodIndex([], freq="D")
|
||
|
|
idx2 = PeriodIndex(["2011-01-01"], freq="D")
|
||
|
|
idx3 = PeriodIndex(["2011-01-01", "2011-01-02"], freq="D")
|
||
|
|
idx4 = PeriodIndex(["2011-01-01", "2011-01-02", "2011-01-03"], freq="D")
|
||
|
|
idx5 = PeriodIndex(["2011", "2012", "2013"], freq="A")
|
||
|
|
idx6 = PeriodIndex(["2011-01-01 09:00", "2012-02-01 10:00", "NaT"], freq="H")
|
||
|
|
idx7 = pd.period_range("2013Q1", periods=1, freq="Q")
|
||
|
|
idx8 = pd.period_range("2013Q1", periods=2, freq="Q")
|
||
|
|
idx9 = pd.period_range("2013Q1", periods=3, freq="Q")
|
||
|
|
idx10 = PeriodIndex(["2011-01-01", "2011-02-01"], freq="3D")
|
||
|
|
|
||
|
|
exp1 = "PeriodIndex([], dtype='period[D]', freq='D')"
|
||
|
|
|
||
|
|
exp2 = "PeriodIndex(['2011-01-01'], dtype='period[D]', freq='D')"
|
||
|
|
|
||
|
|
exp3 = "PeriodIndex(['2011-01-01', '2011-01-02'], dtype='period[D]', freq='D')"
|
||
|
|
|
||
|
|
exp4 = (
|
||
|
|
"PeriodIndex(['2011-01-01', '2011-01-02', '2011-01-03'], "
|
||
|
|
"dtype='period[D]', freq='D')"
|
||
|
|
)
|
||
|
|
|
||
|
|
exp5 = (
|
||
|
|
"PeriodIndex(['2011', '2012', '2013'], dtype='period[A-DEC]', "
|
||
|
|
"freq='A-DEC')"
|
||
|
|
)
|
||
|
|
|
||
|
|
exp6 = (
|
||
|
|
"PeriodIndex(['2011-01-01 09:00', '2012-02-01 10:00', 'NaT'], "
|
||
|
|
"dtype='period[H]', freq='H')"
|
||
|
|
)
|
||
|
|
|
||
|
|
exp7 = "PeriodIndex(['2013Q1'], dtype='period[Q-DEC]', freq='Q-DEC')"
|
||
|
|
|
||
|
|
exp8 = "PeriodIndex(['2013Q1', '2013Q2'], dtype='period[Q-DEC]', freq='Q-DEC')"
|
||
|
|
|
||
|
|
exp9 = (
|
||
|
|
"PeriodIndex(['2013Q1', '2013Q2', '2013Q3'], "
|
||
|
|
"dtype='period[Q-DEC]', freq='Q-DEC')"
|
||
|
|
)
|
||
|
|
|
||
|
|
exp10 = (
|
||
|
|
"PeriodIndex(['2011-01-01', '2011-02-01'], "
|
||
|
|
"dtype='period[3D]', freq='3D')"
|
||
|
|
)
|
||
|
|
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5, idx6, idx7, idx8, idx9, idx10],
|
||
|
|
[exp1, exp2, exp3, exp4, exp5, exp6, exp7, exp8, exp9, exp10],
|
||
|
|
):
|
||
|
|
result = getattr(idx, method)()
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_representation_to_series(self):
|
||
|
|
# GH#10971
|
||
|
|
idx1 = PeriodIndex([], freq="D")
|
||
|
|
idx2 = PeriodIndex(["2011-01-01"], freq="D")
|
||
|
|
idx3 = PeriodIndex(["2011-01-01", "2011-01-02"], freq="D")
|
||
|
|
idx4 = PeriodIndex(["2011-01-01", "2011-01-02", "2011-01-03"], freq="D")
|
||
|
|
idx5 = PeriodIndex(["2011", "2012", "2013"], freq="A")
|
||
|
|
idx6 = PeriodIndex(["2011-01-01 09:00", "2012-02-01 10:00", "NaT"], freq="H")
|
||
|
|
|
||
|
|
idx7 = pd.period_range("2013Q1", periods=1, freq="Q")
|
||
|
|
idx8 = pd.period_range("2013Q1", periods=2, freq="Q")
|
||
|
|
idx9 = pd.period_range("2013Q1", periods=3, freq="Q")
|
||
|
|
|
||
|
|
exp1 = """Series([], dtype: period[D])"""
|
||
|
|
|
||
|
|
exp2 = """0 2011-01-01
|
||
|
|
dtype: period[D]"""
|
||
|
|
|
||
|
|
exp3 = """0 2011-01-01
|
||
|
|
1 2011-01-02
|
||
|
|
dtype: period[D]"""
|
||
|
|
|
||
|
|
exp4 = """0 2011-01-01
|
||
|
|
1 2011-01-02
|
||
|
|
2 2011-01-03
|
||
|
|
dtype: period[D]"""
|
||
|
|
|
||
|
|
exp5 = """0 2011
|
||
|
|
1 2012
|
||
|
|
2 2013
|
||
|
|
dtype: period[A-DEC]"""
|
||
|
|
|
||
|
|
exp6 = """0 2011-01-01 09:00
|
||
|
|
1 2012-02-01 10:00
|
||
|
|
2 NaT
|
||
|
|
dtype: period[H]"""
|
||
|
|
|
||
|
|
exp7 = """0 2013Q1
|
||
|
|
dtype: period[Q-DEC]"""
|
||
|
|
|
||
|
|
exp8 = """0 2013Q1
|
||
|
|
1 2013Q2
|
||
|
|
dtype: period[Q-DEC]"""
|
||
|
|
|
||
|
|
exp9 = """0 2013Q1
|
||
|
|
1 2013Q2
|
||
|
|
2 2013Q3
|
||
|
|
dtype: period[Q-DEC]"""
|
||
|
|
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5, idx6, idx7, idx8, idx9],
|
||
|
|
[exp1, exp2, exp3, exp4, exp5, exp6, exp7, exp8, exp9],
|
||
|
|
):
|
||
|
|
result = repr(Series(idx))
|
||
|
|
assert result == expected
|
||
|
|
|
||
|
|
def test_summary(self):
|
||
|
|
# GH#9116
|
||
|
|
idx1 = PeriodIndex([], freq="D")
|
||
|
|
idx2 = PeriodIndex(["2011-01-01"], freq="D")
|
||
|
|
idx3 = PeriodIndex(["2011-01-01", "2011-01-02"], freq="D")
|
||
|
|
idx4 = PeriodIndex(["2011-01-01", "2011-01-02", "2011-01-03"], freq="D")
|
||
|
|
idx5 = PeriodIndex(["2011", "2012", "2013"], freq="A")
|
||
|
|
idx6 = PeriodIndex(["2011-01-01 09:00", "2012-02-01 10:00", "NaT"], freq="H")
|
||
|
|
|
||
|
|
idx7 = pd.period_range("2013Q1", periods=1, freq="Q")
|
||
|
|
idx8 = pd.period_range("2013Q1", periods=2, freq="Q")
|
||
|
|
idx9 = pd.period_range("2013Q1", periods=3, freq="Q")
|
||
|
|
|
||
|
|
exp1 = """PeriodIndex: 0 entries
|
||
|
|
Freq: D"""
|
||
|
|
|
||
|
|
exp2 = """PeriodIndex: 1 entries, 2011-01-01 to 2011-01-01
|
||
|
|
Freq: D"""
|
||
|
|
|
||
|
|
exp3 = """PeriodIndex: 2 entries, 2011-01-01 to 2011-01-02
|
||
|
|
Freq: D"""
|
||
|
|
|
||
|
|
exp4 = """PeriodIndex: 3 entries, 2011-01-01 to 2011-01-03
|
||
|
|
Freq: D"""
|
||
|
|
|
||
|
|
exp5 = """PeriodIndex: 3 entries, 2011 to 2013
|
||
|
|
Freq: A-DEC"""
|
||
|
|
|
||
|
|
exp6 = """PeriodIndex: 3 entries, 2011-01-01 09:00 to NaT
|
||
|
|
Freq: H"""
|
||
|
|
|
||
|
|
exp7 = """PeriodIndex: 1 entries, 2013Q1 to 2013Q1
|
||
|
|
Freq: Q-DEC"""
|
||
|
|
|
||
|
|
exp8 = """PeriodIndex: 2 entries, 2013Q1 to 2013Q2
|
||
|
|
Freq: Q-DEC"""
|
||
|
|
|
||
|
|
exp9 = """PeriodIndex: 3 entries, 2013Q1 to 2013Q3
|
||
|
|
Freq: Q-DEC"""
|
||
|
|
|
||
|
|
for idx, expected in zip(
|
||
|
|
[idx1, idx2, idx3, idx4, idx5, idx6, idx7, idx8, idx9],
|
||
|
|
[exp1, exp2, exp3, exp4, exp5, exp6, exp7, exp8, exp9],
|
||
|
|
):
|
||
|
|
result = idx._summary()
|
||
|
|
assert result == expected
|