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# -*- coding: utf-8 -*-
import operator
import numpy as np
import pytest
import pandas as pd
from pandas import Series, compat
from pandas.core.indexes.period import IncompatibleFrequency
import pandas.util.testing as tm
def _permute(obj):
return obj.take(np.random.permutation(len(obj)))
class TestSeriesFlexArithmetic(object):
@pytest.mark.parametrize(
'ts',
[
(lambda x: x, lambda x: x * 2, False),
(lambda x: x, lambda x: x[::2], False),
(lambda x: x, lambda x: 5, True),
(lambda x: tm.makeFloatSeries(),
lambda x: tm.makeFloatSeries(),
True)
])
@pytest.mark.parametrize('opname', ['add', 'sub', 'mul', 'floordiv',
'truediv', 'div', 'pow'])
def test_flex_method_equivalence(self, opname, ts):
# check that Series.{opname} behaves like Series.__{opname}__,
tser = tm.makeTimeSeries().rename('ts')
series = ts[0](tser)
other = ts[1](tser)
check_reverse = ts[2]
if opname == 'div' and compat.PY3:
pytest.skip('div test only for Py3')
op = getattr(Series, opname)
if op == 'div':
alt = operator.truediv
else:
alt = getattr(operator, opname)
result = op(series, other)
expected = alt(series, other)
tm.assert_almost_equal(result, expected)
if check_reverse:
rop = getattr(Series, "r" + opname)
result = rop(series, other)
expected = alt(other, series)
tm.assert_almost_equal(result, expected)
class TestSeriesArithmetic(object):
# Some of these may end up in tests/arithmetic, but are not yet sorted
def test_add_series_with_period_index(self):
rng = pd.period_range('1/1/2000', '1/1/2010', freq='A')
ts = Series(np.random.randn(len(rng)), index=rng)
result = ts + ts[::2]
expected = ts + ts
expected[1::2] = np.nan
tm.assert_series_equal(result, expected)
result = ts + _permute(ts[::2])
tm.assert_series_equal(result, expected)
msg = "Input has different freq=D from PeriodIndex\\(freq=A-DEC\\)"
with pytest.raises(IncompatibleFrequency, match=msg):
ts + ts.asfreq('D', how="end")
# ------------------------------------------------------------------
# Comparisons
class TestSeriesFlexComparison(object):
def test_comparison_flex_basic(self):
left = pd.Series(np.random.randn(10))
right = pd.Series(np.random.randn(10))
tm.assert_series_equal(left.eq(right), left == right)
tm.assert_series_equal(left.ne(right), left != right)
tm.assert_series_equal(left.le(right), left < right)
tm.assert_series_equal(left.lt(right), left <= right)
tm.assert_series_equal(left.gt(right), left > right)
tm.assert_series_equal(left.ge(right), left >= right)
# axis
for axis in [0, None, 'index']:
tm.assert_series_equal(left.eq(right, axis=axis), left == right)
tm.assert_series_equal(left.ne(right, axis=axis), left != right)
tm.assert_series_equal(left.le(right, axis=axis), left < right)
tm.assert_series_equal(left.lt(right, axis=axis), left <= right)
tm.assert_series_equal(left.gt(right, axis=axis), left > right)
tm.assert_series_equal(left.ge(right, axis=axis), left >= right)
#
msg = 'No axis named 1 for object type'
for op in ['eq', 'ne', 'le', 'le', 'gt', 'ge']:
with pytest.raises(ValueError, match=msg):
getattr(left, op)(right, axis=1)
class TestSeriesComparison(object):
def test_comparison_different_length(self):
a = Series(['a', 'b', 'c'])
b = Series(['b', 'a'])
with pytest.raises(ValueError):
a < b
a = Series([1, 2])
b = Series([2, 3, 4])
with pytest.raises(ValueError):
a == b
@pytest.mark.parametrize('opname', ['eq', 'ne', 'gt', 'lt', 'ge', 'le'])
def test_ser_flex_cmp_return_dtypes(self, opname):
# GH#15115
ser = Series([1, 3, 2], index=range(3))
const = 2
result = getattr(ser, opname)(const).get_dtype_counts()
tm.assert_series_equal(result, Series([1], ['bool']))
@pytest.mark.parametrize('opname', ['eq', 'ne', 'gt', 'lt', 'ge', 'le'])
def test_ser_flex_cmp_return_dtypes_empty(self, opname):
# GH#15115 empty Series case
ser = Series([1, 3, 2], index=range(3))
empty = ser.iloc[:0]
const = 2
result = getattr(empty, opname)(const).get_dtype_counts()
tm.assert_series_equal(result, Series([1], ['bool']))
@pytest.mark.parametrize('op', [operator.eq, operator.ne,
operator.le, operator.lt,
operator.ge, operator.gt])
@pytest.mark.parametrize('names', [(None, None, None),
('foo', 'bar', None),
('baz', 'baz', 'baz')])
def test_ser_cmp_result_names(self, names, op):
# datetime64 dtype
dti = pd.date_range('1949-06-07 03:00:00',
freq='H', periods=5, name=names[0])
ser = Series(dti).rename(names[1])
result = op(ser, dti)
assert result.name == names[2]
# datetime64tz dtype
dti = dti.tz_localize('US/Central')
ser = Series(dti).rename(names[1])
result = op(ser, dti)
assert result.name == names[2]
# timedelta64 dtype
tdi = dti - dti.shift(1)
ser = Series(tdi).rename(names[1])
result = op(ser, tdi)
assert result.name == names[2]
# categorical
if op in [operator.eq, operator.ne]:
# categorical dtype comparisons raise for inequalities
cidx = tdi.astype('category')
ser = Series(cidx).rename(names[1])
result = op(ser, cidx)
assert result.name == names[2]
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