Cannot create a NumPy datetime other than NaT with generic units
ValueError: Cannot convert a NumPy datetime value other than NaT with generic units Here, NumPy isn't able to infer what units the representation of the datetime should have. Guessing might lead to erroneous values given the varying lengths of calendar months and years.

python - Cannot populate NumPy datetime64 arrays - Stack ...

ValueError: Cannot convert a NumPy datetime value other than NaT with generic units Here, NumPy isn't able to infer what units the representation of the datetime should have. Guessing might lead to erroneous values given the varying lengths of calendar months and years.

Datetimes and Timedeltas — NumPy v1.21.dev0 Manual

The Datetime and Timedelta data types support a large number of time units , as well as generic units which can be coerced into any of the other units based on input data. Datetimes are always stored based on POSIX time (though having a TAI mode which allows for accounting of leap-seconds is proposed), with an epoch of 1970-01-01T00:00Z.

Numpy -discussion - datetime dtype possible regression

ValueError: Cannot create a NumPy datetime other than NaT with generic units >>> np.version.version ... ValueError: Cannot create a NumPy datetime other than NaT with generic units >>> np.version.version '1.7..dev-3cb783e' ~~~~~ Any hints about a regression I can check for? ...

numpy / datetime .c at ...

" Cannot convert a NumPy datetime value other than NaT " " with generic units "); return-1;} /* TODO: Change to a mechanism that avoids the potential overflow */ dt *= meta-> num; /* * Note that care must be taken with the / and % operators * for negative values. */ switch (meta-> base) {case NPY_FR_Y: out-> year = 1970 + dt; break; case NPY_FR ...

poquito picante: Dates and Datetimes

Value Error: Cannot create a NumPy datetime other than NaT with generic units Thanks to this answer on SO for unriddling that puzzle. If you make a NumPy datetime with nothing, you'll discover that NaT means "Not a time". In addition you may get this error, which is a bit more informative.

numpy / datetime .c at master · numpy / numpy · GitHub

/* NUMPY_API * Create a datetime value from a filled datetime struct and resolution unit . * ... " Cannot convert a NumPy datetime value other than NaT " " with generic units "); return-1;} ... * However, generic units cannot always divide into more specific units .

[SOLVED] Can't convert dates to datetime64 | Python ...

Conversions like this are very buggy (because of issues in various numpy version, 1.6.2 especially). Use the pandas routines, then operate like thesee are actual datetime objects. What are you trying to do? In [30]: pandas.to_datetime(data['date']) Out[30]: 0 2012-02-13 00:00:00 1 2012-02-14 00:00:00 Name: date, dtype: datetime64[ns]

Datetime dev 2 by mwiebe · Pull Request #93 · numpy / numpy ...

This pull request includes the following modifications: Tighten up date unit vs time unit casting rules, and integrate the NPY_CASTING enum deeper into the datetime conversions Determine a unit when converting from a string array, similar to when converting from lists of strings Switch local/utc handling to a timezone= parameter, which also accepts a datetime .tzinfo object.

numpy .datetime64 Example - Program Talk

Here are the examples of the python api numpy .datetime64 taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.

dtype pour structurer un array avec numpy par aaaallleex ...

ValueError: Cannot create a NumPy datetime other than NaT with generic units Finalement comme la date a peu d'importance pour moi, je l'ai convertit en int donc il n'y a plus le probleme de datetime .

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