Skip to content

BUG: maybe_promote with dt64tz and mismatched NA #39743

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Feb 12, 2021
Merged

BUG: maybe_promote with dt64tz and mismatched NA #39743

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
aa166a4
BUG: maybe_promote with dt64tz and mismatched NA
jbrockmendel Feb 11, 2021
600a989
Merge branch 'master' into ref-maybe_promote-na
jbrockmendel Feb 11, 2021
4b20d4c
Merge branch 'master' into ref-maybe_promote-na
jbrockmendel Feb 12, 2021
7f15f5e
Fixup deleted wrong test
jbrockmendel Feb 12, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
43 changes: 22 additions & 21 deletions pandas/core/dtypes/cast.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@

import numpy as np

from pandas._libs import lib, missing as libmissing, tslib
from pandas._libs import lib, tslib
from pandas._libs.tslibs import (
NaT,
OutOfBoundsDatetime,
Expand Down Expand Up @@ -86,7 +86,12 @@
ABCSeries,
)
from pandas.core.dtypes.inference import is_list_like
from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, notna
from pandas.core.dtypes.missing import (
is_valid_na_for_dtype,
isna,
na_value_for_dtype,
notna,
)

if TYPE_CHECKING:
from pandas import Series
Expand Down Expand Up @@ -529,16 +534,26 @@ def maybe_promote(dtype: np.dtype, fill_value=np.nan):
dtype = np.dtype(object)
return dtype, fill_value

kinds = ["i", "u", "f", "c", "m", "M"]
if is_valid_na_for_dtype(fill_value, dtype) and dtype.kind in kinds:
dtype = ensure_dtype_can_hold_na(dtype)
fv = na_value_for_dtype(dtype)
return dtype, fv

elif isna(fill_value):
dtype = np.dtype(object)
if fill_value is None:
# but we retain e.g. pd.NA
fill_value = np.nan
return dtype, fill_value

# returns tuple of (dtype, fill_value)
if issubclass(dtype.type, np.datetime64):
if isinstance(fill_value, datetime) and fill_value.tzinfo is not None:
# Trying to insert tzaware into tznaive, have to cast to object
dtype = np.dtype(np.object_)
elif is_integer(fill_value) or (is_float(fill_value) and not isna(fill_value)):
elif is_integer(fill_value) or is_float(fill_value):
dtype = np.dtype(np.object_)
elif is_valid_na_for_dtype(fill_value, dtype):
# e.g. pd.NA, which is not accepted by Timestamp constructor
fill_value = np.datetime64("NaT", "ns")
else:
try:
fill_value = Timestamp(fill_value).to_datetime64()
Expand All @@ -547,14 +562,11 @@ def maybe_promote(dtype: np.dtype, fill_value=np.nan):
elif issubclass(dtype.type, np.timedelta64):
if (
is_integer(fill_value)
or (is_float(fill_value) and not np.isnan(fill_value))
or is_float(fill_value)
or isinstance(fill_value, str)
):
# TODO: What about str that can be a timedelta?
dtype = np.dtype(np.object_)
elif is_valid_na_for_dtype(fill_value, dtype):
# e.g pd.NA, which is not accepted by the Timedelta constructor
fill_value = np.timedelta64("NaT", "ns")
else:
try:
fv = Timedelta(fill_value)
Expand Down Expand Up @@ -615,17 +627,6 @@ def maybe_promote(dtype: np.dtype, fill_value=np.nan):
# e.g. mst is np.complex128 and dtype is np.complex64
dtype = mst

elif fill_value is None or fill_value is libmissing.NA:
# Note: we already excluded dt64/td64 dtypes above
if is_float_dtype(dtype) or is_complex_dtype(dtype):
fill_value = np.nan
elif is_integer_dtype(dtype):
dtype = np.dtype(np.float64)
fill_value = np.nan
else:
dtype = np.dtype(np.object_)
if fill_value is not libmissing.NA:
fill_value = np.nan
else:
dtype = np.dtype(np.object_)

Expand Down