def setup_method(self, method):
super(TestIndex, self).setup_method(method)
self.d = {
'string': tm.makeStringIndex(100),
'date': tm.makeDateIndex(100),
'int': tm.makeIntIndex(100),
'rng': tm.makeRangeIndex(100),
'float': tm.makeFloatIndex(100),
'empty': Index([]),
'tuple': Index(zip(['foo', 'bar', 'baz'], [1, 2, 3])),
'period': Index(period_range('2012-1-1', freq='M', periods=3)),
'date2': Index(date_range('2013-01-1', periods=10)),
'bdate': Index(bdate_range('2013-01-02', periods=10)),
'cat': tm.makeCategoricalIndex(100),
'interval': tm.makeIntervalIndex(100),
'timedelta': tm.makeTimedeltaIndex(100, 'H')
}
self.mi = {
'reg': MultiIndex.from_tuples([('bar', 'one'), ('baz', 'two'),
('foo', 'two'),
('qux', 'one'), ('qux', 'two')],
names=['first', 'second']),
}
def setup_method(self, method):
self.index = IntervalIndex.from_arrays([0, 1], [1, 2])
self.index_with_nan = IntervalIndex.from_tuples(
[(0, 1), np.nan, (1, 2)])
self.indices = dict(intervalIndex=tm.makeIntervalIndex(10))
def setup_method(self, method):
self.index = IntervalIndex.from_arrays([0, 1], [1, 2])
self.index_with_nan = IntervalIndex.from_tuples([(0, 1), np.nan,
(1, 2)])
self.indices = dict(intervalIndex=tm.makeIntervalIndex(10))
import pandas as pd
from pandas.core.indexes.api import Index, MultiIndex
import pandas.util.testing as tm
indices_list = [tm.makeUnicodeIndex(100),
tm.makeStringIndex(100),
tm.makeDateIndex(100),
tm.makePeriodIndex(100),
tm.makeTimedeltaIndex(100),
tm.makeIntIndex(100),
tm.makeUIntIndex(100),
tm.makeRangeIndex(100),
tm.makeFloatIndex(100),
Index([True, False]),
tm.makeCategoricalIndex(100),
tm.makeIntervalIndex(100),
Index([]),
MultiIndex.from_tuples(zip(
['foo', 'bar', 'baz'], [1, 2, 3])),
Index([0, 0, 1, 1, 2, 2])]
@pytest.fixture(params=indices_list, ids=lambda x: type(x).__name__)
def indices(request):
return request.param
@pytest.fixture(params=[1, np.array(1, dtype=np.int64)])
def one(request):
# zero-dim integer array behaves like an integer
return request.param
