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I found a different when using datetime64[ns] and datetime64[s]
datetime64[ns]
datetime64[s]
pvlib version == 0.10.2 numpy version == 1.23.2 This was on a Mac Big Sur 11.3.1 python 3.10
import pvlib import numpy as np dt = np.array([datetime(2024,1,31, 12,0), datetime(2024,1,31,12,30)], dtype='datetime64[s]') solpos = pvlib.solarposition.get_solarposition( time=dt, latitude=50, longitude=0)
Perhaps I don't fully understand the different between [ns] and [s] but would be great if anyone can help on this
openclimatefix/ocf_datapipes#272
The text was updated successfully, but these errors were encountered:
Thanks @peterdudfield this results from pandas >= 2.0 #1932 and is being accomodated in pvlib with #1948
Sorry, something went wrong.
Thanks @cwhanse for the quick response
Duplicate of #1932, fixed by #1948
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I found a different when using
datetime64[ns]
anddatetime64[s]
pvlib version == 0.10.2
numpy version == 1.23.2
This was on a Mac Big Sur 11.3.1
python 3.10
Perhaps I don't fully understand the different between [ns] and [s] but would be great if anyone can help on this
openclimatefix/ocf_datapipes#272
The text was updated successfully, but these errors were encountered: