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Fix bug where numpy datetime contained in Python list gets converted to integer #5415

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Merged
emilykl merged 3 commits into from
Nov 12, 2025
+32 −2
Merged

Fix bug where numpy datetime contained in Python list gets converted to integer #5415

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0a13e4f
add handling for special case where np datetime contained in Python l…
emilykl Nov 10, 2025
4d4fa4f
add test for datetime64[ns]
emilykl Nov 11, 2025
aa30be5
Update _plotly_utils/basevalidators.py
emilykl Nov 12, 2025
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add handling for special case where np datetime contained in Python l… 
…ist gets converted to integer
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@emilykl
emilykl committed Nov 11, 2025
commit 0a13e4fdadefc4a99a277f64539b04cd9fd6381e
18 changes: 16 additions & 2 deletions _plotly_utils/basevalidators.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,20 @@ def fullmatch(regex, string, flags=0):
return re.match("(?:" + regex_string + r")\Z", string, flags=flags)


def to_non_numpy_type(np, v):
"""
Convert a numpy scalar value to a native Python type.
Calling .item() on a datetime64[ns] value returns an integer, since
Python datetimes only support microsecond precision. So we cast
datetime64[ns] to datetime64[us] to ensure it remains a datetime.

Should only be used in contexts where we already know `np` is defined
"""
if hasattr(v, "dtype") and v.dtype == np.dtype("datetime64[ns]"):
return v.astype("datetime64[us]").item()
return v.item()


# Utility functions
# -----------------
def to_scalar_or_list(v):
Expand All @@ -35,12 +49,12 @@ def to_scalar_or_list(v):
np = get_module("numpy", should_load=False)
pd = get_module("pandas", should_load=False)
if np and np.isscalar(v) and hasattr(v, "item"):
return v.item()
return to_non_numpy_type(np, v)
if isinstance(v, (list, tuple)):
return [to_scalar_or_list(e) for e in v]
elif np and isinstance(v, np.ndarray):
if v.ndim == 0:
return v.item()
return to_non_numpy_type(np, v)
return [to_scalar_or_list(e) for e in v]
elif pd and isinstance(v, (pd.Series, pd.Index)):
return [to_scalar_or_list(e) for e in v]
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