Viewing file:  accumulate.py (1.38 KB) -rw-r--r--
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import pytest
import pandas as pd
import pandas._testing as tm
class BaseAccumulateTests:
"""
Accumulation specific tests. Generally these only
make sense for numeric/boolean operations.
"""
def _supports_accumulation(self, ser: pd.Series, op_name: str) -> bool:
# Do we expect this accumulation to be supported for this dtype?
# We default to assuming "no"; subclass authors should override here.
return False
def check_accumulate(self, ser: pd.Series, op_name: str, skipna: bool):
try:
alt = ser.astype("float64")
except TypeError:
# e.g. Period can't be cast to float64
alt = ser.astype(object)
result = getattr(ser, op_name)(skipna=skipna)
expected = getattr(alt, op_name)(skipna=skipna)
tm.assert_series_equal(result, expected, check_dtype=False)
@pytest.mark.parametrize("skipna", [True, False])
def test_accumulate_series(self, data, all_numeric_accumulations, skipna):
op_name = all_numeric_accumulations
ser = pd.Series(data)
if self._supports_accumulation(ser, op_name):
self.check_accumulate(ser, op_name, skipna)
else:
with pytest.raises((NotImplementedError, TypeError)):
# TODO: require TypeError for things that will _never_ work?
getattr(ser, op_name)(skipna=skipna)
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