SeriesGroupBy.quantile doesn't work for nullable integers · Issue #33136 · pandas-dev/pandas (original) (raw)
import pandas as pd
df = pd.DataFrame( {"a": ["x", "x", "y", "y"], "b": pd.array([1, 2, 3, 4], dtype="Int64")} ) df.groupby("a")["b"].quantile(0.5)
raises
TypeError Traceback (most recent call last) in 4 {"a": ["x", "x", "y", "y"], "b": pd.array([1, 2, 3, 4], dtype="Int64")} 5 ) ----> 6 df.groupby("a")["b"].quantile(0.5)
~/opt/miniconda3/lib/python3.7/site-packages/pandas/core/groupby/groupby.py in quantile(self, q, interpolation) 1911 post_processing=post_processor, 1912 q=q, -> 1913 interpolation=interpolation, 1914 ) 1915 else:
~/opt/miniconda3/lib/python3.7/site-packages/pandas/core/groupby/groupby.py in _get_cythonized_result(self, how, cython_dtype, aggregate, needs_values, needs_mask, needs_ngroups, result_is_index, pre_processing, post_processing, **kwargs) 2289 func = partial(func, ngroups) 2290 -> 2291 func(**kwargs) # Call func to modify indexer values in place 2292 2293 if result_is_index:
pandas/_libs/groupby.pyx in pandas._libs.groupby.__pyx_fused_cpdef()
TypeError: No matching signature found