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Adding new functionality to pandas
Changing existing functionality in pandas
Removing existing functionality in pandas
In [1]: import pandas as pd In [2]: pd.to_datetime("1677-01-01 00:00:00") OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 1677-01-01 00:00:00, at position 0 In [3]: pd.Timestamp("1677-01-01 00:00:00") Out[3]: Timestamp('1677-01-01 00:00:00')
It would be great if to_datetime would perform unit inference like Timestamp.
to_datetime
Timestamp
Looks mainly an issue with array_to_datetime still assuming ns resolution for strings
array_to_datetime
ns
Use Timestamp
No response
The text was updated successfully, but these errors were encountered:
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Feature Type
Adding new functionality to pandas
Changing existing functionality in pandas
Removing existing functionality in pandas
Problem Description
Feature Description
It would be great if
to_datetime
would perform unit inference likeTimestamp
.Looks mainly an issue with
array_to_datetime
still assumingns
resolution for stringsAlternative Solutions
Use
Timestamp
Additional Context
No response
The text was updated successfully, but these errors were encountered: