LSR/env/lib/python3.6/site-packages/pandas/tests/indexes/conftest.py

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2020-06-04 17:24:47 +02:00
import numpy as np
import pytest
import pandas as pd
import pandas._testing as tm
from pandas.core.indexes.api import Index, MultiIndex
indices_dict = {
"unicode": tm.makeUnicodeIndex(100),
"string": tm.makeStringIndex(100),
"datetime": tm.makeDateIndex(100),
"period": tm.makePeriodIndex(100),
"timedelta": tm.makeTimedeltaIndex(100),
"int": tm.makeIntIndex(100),
"uint": tm.makeUIntIndex(100),
"range": tm.makeRangeIndex(100),
"float": tm.makeFloatIndex(100),
"bool": Index([True, False]),
"categorical": tm.makeCategoricalIndex(100),
"interval": tm.makeIntervalIndex(100),
"empty": Index([]),
"tuples": MultiIndex.from_tuples(zip(["foo", "bar", "baz"], [1, 2, 3])),
"repeats": Index([0, 0, 1, 1, 2, 2]),
}
@pytest.fixture(params=indices_dict.keys())
def indices(request):
# copy to avoid mutation, e.g. setting .name
return indices_dict[request.param].copy()
@pytest.fixture(params=[1, np.array(1, dtype=np.int64)])
def one(request):
# zero-dim integer array behaves like an integer
return request.param
zeros = [
box([0] * 5, dtype=dtype)
for box in [pd.Index, np.array]
for dtype in [np.int64, np.uint64, np.float64]
]
zeros.extend([np.array(0, dtype=dtype) for dtype in [np.int64, np.uint64, np.float64]])
zeros.extend([0, 0.0])
@pytest.fixture(params=zeros)
def zero(request):
# For testing division by (or of) zero for Index with length 5, this
# gives several scalar-zeros and length-5 vector-zeros
return request.param