laywerrobot/lib/python3.6/site-packages/pandas/tests/indexes/period/test_asfreq.py
2020-08-27 21:55:39 +02:00

152 lines
6.2 KiB
Python

import pytest
import numpy as np
import pandas as pd
from pandas.util import testing as tm
from pandas import PeriodIndex, Series, DataFrame
class TestPeriodIndex(object):
def test_asfreq(self):
pi1 = PeriodIndex(freq='A', start='1/1/2001', end='1/1/2001')
pi2 = PeriodIndex(freq='Q', start='1/1/2001', end='1/1/2001')
pi3 = PeriodIndex(freq='M', start='1/1/2001', end='1/1/2001')
pi4 = PeriodIndex(freq='D', start='1/1/2001', end='1/1/2001')
pi5 = PeriodIndex(freq='H', start='1/1/2001', end='1/1/2001 00:00')
pi6 = PeriodIndex(freq='Min', start='1/1/2001', end='1/1/2001 00:00')
pi7 = PeriodIndex(freq='S', start='1/1/2001', end='1/1/2001 00:00:00')
assert pi1.asfreq('Q', 'S') == pi2
assert pi1.asfreq('Q', 's') == pi2
assert pi1.asfreq('M', 'start') == pi3
assert pi1.asfreq('D', 'StarT') == pi4
assert pi1.asfreq('H', 'beGIN') == pi5
assert pi1.asfreq('Min', 'S') == pi6
assert pi1.asfreq('S', 'S') == pi7
assert pi2.asfreq('A', 'S') == pi1
assert pi2.asfreq('M', 'S') == pi3
assert pi2.asfreq('D', 'S') == pi4
assert pi2.asfreq('H', 'S') == pi5
assert pi2.asfreq('Min', 'S') == pi6
assert pi2.asfreq('S', 'S') == pi7
assert pi3.asfreq('A', 'S') == pi1
assert pi3.asfreq('Q', 'S') == pi2
assert pi3.asfreq('D', 'S') == pi4
assert pi3.asfreq('H', 'S') == pi5
assert pi3.asfreq('Min', 'S') == pi6
assert pi3.asfreq('S', 'S') == pi7
assert pi4.asfreq('A', 'S') == pi1
assert pi4.asfreq('Q', 'S') == pi2
assert pi4.asfreq('M', 'S') == pi3
assert pi4.asfreq('H', 'S') == pi5
assert pi4.asfreq('Min', 'S') == pi6
assert pi4.asfreq('S', 'S') == pi7
assert pi5.asfreq('A', 'S') == pi1
assert pi5.asfreq('Q', 'S') == pi2
assert pi5.asfreq('M', 'S') == pi3
assert pi5.asfreq('D', 'S') == pi4
assert pi5.asfreq('Min', 'S') == pi6
assert pi5.asfreq('S', 'S') == pi7
assert pi6.asfreq('A', 'S') == pi1
assert pi6.asfreq('Q', 'S') == pi2
assert pi6.asfreq('M', 'S') == pi3
assert pi6.asfreq('D', 'S') == pi4
assert pi6.asfreq('H', 'S') == pi5
assert pi6.asfreq('S', 'S') == pi7
assert pi7.asfreq('A', 'S') == pi1
assert pi7.asfreq('Q', 'S') == pi2
assert pi7.asfreq('M', 'S') == pi3
assert pi7.asfreq('D', 'S') == pi4
assert pi7.asfreq('H', 'S') == pi5
assert pi7.asfreq('Min', 'S') == pi6
pytest.raises(ValueError, pi7.asfreq, 'T', 'foo')
result1 = pi1.asfreq('3M')
result2 = pi1.asfreq('M')
expected = PeriodIndex(freq='M', start='2001-12', end='2001-12')
tm.assert_numpy_array_equal(result1.asi8, expected.asi8)
assert result1.freqstr == '3M'
tm.assert_numpy_array_equal(result2.asi8, expected.asi8)
assert result2.freqstr == 'M'
def test_asfreq_nat(self):
idx = PeriodIndex(['2011-01', '2011-02', 'NaT', '2011-04'], freq='M')
result = idx.asfreq(freq='Q')
expected = PeriodIndex(['2011Q1', '2011Q1', 'NaT', '2011Q2'], freq='Q')
tm.assert_index_equal(result, expected)
@pytest.mark.parametrize('freq', ['D', '3D'])
def test_asfreq_mult_pi(self, freq):
pi = PeriodIndex(['2001-01', '2001-02', 'NaT', '2001-03'], freq='2M')
result = pi.asfreq(freq)
exp = PeriodIndex(['2001-02-28', '2001-03-31', 'NaT',
'2001-04-30'], freq=freq)
tm.assert_index_equal(result, exp)
assert result.freq == exp.freq
result = pi.asfreq(freq, how='S')
exp = PeriodIndex(['2001-01-01', '2001-02-01', 'NaT',
'2001-03-01'], freq=freq)
tm.assert_index_equal(result, exp)
assert result.freq == exp.freq
def test_asfreq_combined_pi(self):
pi = pd.PeriodIndex(['2001-01-01 00:00', '2001-01-02 02:00', 'NaT'],
freq='H')
exp = PeriodIndex(['2001-01-01 00:00', '2001-01-02 02:00', 'NaT'],
freq='25H')
for freq, how in zip(['1D1H', '1H1D'], ['S', 'E']):
result = pi.asfreq(freq, how=how)
tm.assert_index_equal(result, exp)
assert result.freq == exp.freq
for freq in ['1D1H', '1H1D']:
pi = pd.PeriodIndex(['2001-01-01 00:00', '2001-01-02 02:00',
'NaT'], freq=freq)
result = pi.asfreq('H')
exp = PeriodIndex(['2001-01-02 00:00', '2001-01-03 02:00', 'NaT'],
freq='H')
tm.assert_index_equal(result, exp)
assert result.freq == exp.freq
pi = pd.PeriodIndex(['2001-01-01 00:00', '2001-01-02 02:00',
'NaT'], freq=freq)
result = pi.asfreq('H', how='S')
exp = PeriodIndex(['2001-01-01 00:00', '2001-01-02 02:00', 'NaT'],
freq='H')
tm.assert_index_equal(result, exp)
assert result.freq == exp.freq
def test_asfreq_ts(self):
index = PeriodIndex(freq='A', start='1/1/2001', end='12/31/2010')
ts = Series(np.random.randn(len(index)), index=index)
df = DataFrame(np.random.randn(len(index), 3), index=index)
result = ts.asfreq('D', how='end')
df_result = df.asfreq('D', how='end')
exp_index = index.asfreq('D', how='end')
assert len(result) == len(ts)
tm.assert_index_equal(result.index, exp_index)
tm.assert_index_equal(df_result.index, exp_index)
result = ts.asfreq('D', how='start')
assert len(result) == len(ts)
tm.assert_index_equal(result.index, index.asfreq('D', how='start'))
def test_astype_asfreq(self):
pi1 = PeriodIndex(['2011-01-01', '2011-02-01', '2011-03-01'], freq='D')
exp = PeriodIndex(['2011-01', '2011-02', '2011-03'], freq='M')
tm.assert_index_equal(pi1.asfreq('M'), exp)
tm.assert_index_equal(pi1.astype('period[M]'), exp)
exp = PeriodIndex(['2011-01', '2011-02', '2011-03'], freq='3M')
tm.assert_index_equal(pi1.asfreq('3M'), exp)
tm.assert_index_equal(pi1.astype('period[3M]'), exp)