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TST: Remove dupe TimdeltaIndex tests from indexes/timedeltas/test_astype.py #19509

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Feb 4, 2018
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TST: Remove dupe TimdeltaIndex tests from indexes/timedeltas/test_astype.py #19509

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49 changes: 6 additions & 43 deletions pandas/tests/indexes/timedeltas/test_astype.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,36 +2,20 @@

import numpy as np

import pandas as pd
import pandas.util.testing as tm
from pandas import (TimedeltaIndex, timedelta_range, Int64Index, Float64Index,
Index, Timedelta)
Index, Timedelta, NaT)

from ..datetimelike import DatetimeLike


class TestTimedeltaIndex(DatetimeLike):
_holder = TimedeltaIndex
class TestTimedeltaIndex(object):
_multiprocess_can_split_ = True
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remove any of these _multi precess_can_split, they are really old

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actually let's do that separately.


def test_numeric_compat(self):
# Dummy method to override super's version; this test is now done
# in test_arithmetic.py
pass

def setup_method(self, method):
self.indices = dict(index=tm.makeTimedeltaIndex(10))
self.setup_indices()

def create_index(self):
return pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)

def test_astype(self):
# GH 13149, GH 13209
idx = TimedeltaIndex([1e14, 'NaT', pd.NaT, np.NaN])
idx = TimedeltaIndex([1e14, 'NaT', NaT, np.NaN])

result = idx.astype(object)
expected = Index([Timedelta('1 days 03:46:40')] + [pd.NaT] * 3,
expected = Index([Timedelta('1 days 03:46:40')] + [NaT] * 3,
dtype=object)
tm.assert_index_equal(result, expected)

Expand All @@ -51,7 +35,7 @@ def test_astype(self):

def test_astype_timedelta64(self):
# GH 13149, GH 13209
idx = TimedeltaIndex([1e14, 'NaT', pd.NaT, np.NaN])
idx = TimedeltaIndex([1e14, 'NaT', NaT, np.NaN])

result = idx.astype('timedelta64')
expected = Float64Index([1e+14] + [np.NaN] * 3, dtype='float64')
Expand All @@ -69,28 +53,7 @@ def test_astype_timedelta64(self):
float, 'datetime64', 'datetime64[ns]'])
def test_astype_raises(self, dtype):
# GH 13149, GH 13209
idx = TimedeltaIndex([1e14, 'NaT', pd.NaT, np.NaN])
idx = TimedeltaIndex([1e14, 'NaT', NaT, np.NaN])
msg = 'Cannot cast TimedeltaIndex to dtype'
with tm.assert_raises_regex(TypeError, msg):
idx.astype(dtype)

def test_pickle_compat_construction(self):
pass

def test_shift(self):
# test shift for TimedeltaIndex
# err8083
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note that this same test is also in test_arithmetic.py, and is overriden in test_timedeltas:

pandas/pandas/tests/indexes/timedeltas/test_timedelta.py

Lines 35 to 36 in 69cd5fb

def test_shift(self):
pass # this is handled in test_arithmetic.py

pandas/pandas/tests/indexes/timedeltas/test_arithmetic.py

Lines 170 to 187 in 69cd5fb

def test_tdi_shift_int(self):
# GH#8083
trange = pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
result = trange.shift(1)
expected = TimedeltaIndex(['1 days 01:00:00', '2 days 01:00:00',
'3 days 01:00:00',
'4 days 01:00:00', '5 days 01:00:00'],
freq='D')
tm.assert_index_equal(result, expected)
def test_tdi_shift_nonstandard_freq(self):
# GH#8083
trange = pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
result = trange.shift(3, freq='2D 1s')
expected = TimedeltaIndex(['6 days 01:00:03', '7 days 01:00:03',
'8 days 01:00:03', '9 days 01:00:03',
'10 days 01:00:03'], freq='D')
tm.assert_index_equal(result, expected)


drange = self.create_index()
result = drange.shift(1)
expected = TimedeltaIndex(['1 days 01:00:00', '2 days 01:00:00',
'3 days 01:00:00',
'4 days 01:00:00', '5 days 01:00:00'],
freq='D')
tm.assert_index_equal(result, expected)

result = drange.shift(3, freq='2D 1s')
expected = TimedeltaIndex(['6 days 01:00:03', '7 days 01:00:03',
'8 days 01:00:03', '9 days 01:00:03',
'10 days 01:00:03'], freq='D')
tm.assert_index_equal(result, expected)