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Title:
API: pd.Series([py_date, py_datetime]) vs pd.Index([py_date, py_datetime]) Β· Issue #49341 Β· pandas-dev/pandas
Description:
ts = pd.Timestamp.now() vals= [ts.date(), ts.to_pydatetime()] ser = pd.Series(vals) # <- dt64 dtype idx = pd.Index(vals) # <- object dtype Index uses lib.maybe_convert_objects for inference while Series uses infer_datetimelike_array in m...
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pydatetime, jbrockmendel, api, issue, sign, pdseriespydate, pdindexpydate, dtype, index, member, constructors, consistency, pandas, projects, bug, commented, navigation, pull, requests, actions, security, closed, series, added, triage, reviewed, team, seriesdataframeindexpdarray, internal, apibehavior, mentioned, jorisvandenbossche, choose, prefer, behaviour, dont, datetimedate, objects, datetime, jreback, github, type, milestone, footer, skip, content, menu, product, solutions, resources,
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personal information api array constructors comment metadata assignees automatically convert datetime jbrockmendel mentioned index behaviour type projects triage issue projects milestone datetime dtype vals= [ts api milestone relationships date objects github ts series index pd datetime date vals sign skip jump [py_date py_datetime] timestamp to_pydatetime lib maybe_convert_objects inference infer_datetimelike_array maybe_infer_to_datetimelike ideally match reviewed choose prefer case infer agree folks [pydate pydatetime] free join conversation account development
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context:https://schema.org
headline:API: pd.Series([py_date, py_datetime]) vs pd.Index([py_date, py_datetime])
articleBody:```python
ts = pd.Timestamp.now()
vals= [ts.date(), ts.to_pydatetime()]
ser = pd.Series(vals) # <- dt64 dtype
idx = pd.Index(vals) # <- object dtype
```
Index uses lib.maybe_convert_objects for inference while Series uses infer_datetimelike_array in maybe_infer_to_datetimelike.
Ideally these would match.
author:
url:https://github.com/jbrockmendel
type:Person
name:jbrockmendel
datePublished:2022-10-26T20:10:47.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:3
url:https://github.com/49341/pandas/issues/49341
context:https://schema.org
headline:API: pd.Series([py_date, py_datetime]) vs pd.Index([py_date, py_datetime])
articleBody:```python
ts = pd.Timestamp.now()
vals= [ts.date(), ts.to_pydatetime()]
ser = pd.Series(vals) # <- dt64 dtype
idx = pd.Index(vals) # <- object dtype
```
Index uses lib.maybe_convert_objects for inference while Series uses infer_datetimelike_array in maybe_infer_to_datetimelike.
Ideally these would match.
author:
url:https://github.com/jbrockmendel
type:Person
name:jbrockmendel
datePublished:2022-10-26T20:10:47.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:3
url:https://github.com/49341/pandas/issues/49341
Person:
url:https://github.com/jbrockmendel
name:jbrockmendel
url:https://github.com/jbrockmendel
name:jbrockmendel
InteractionCounter:
interactionType:https://schema.org/CommentAction
userInteractionCount:3
interactionType:https://schema.org/CommentAction
userInteractionCount:3
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