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solarposition.hour_angle is inefficient and fails on some pandas versions #598
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@wholmgren I believe this may be related to the pandas issues I observed in #583 - I noticed this |
I will address them, but I'd rather open a new PR to fix the |
New PR sounds good to me. Thanks! |
mikofski
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* closes pvlib#598 vectorize to make it more efficient * closes pvlib#597 add test Signed-off-by: Mark Mikofski <[email protected]>
wholmgren
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* add test for hour_angle, vectorize * closes #598 vectorize to make it more efficient * closes #597 add test Signed-off-by: Mark Mikofski <[email protected]> * BUG: use np.int64 works better for older numpy version than python int * also converting times to int before subtracting works better for older pandas versions which were not calculating the timedeltas correctly * remove comment with missing space after hash, add FIXME that explains why the expected values are slightly different than the SPA calculator output * fix hanging indent * BUG: replace utcoffset() with reliable, efficient approach ... * ... suggested by @wholmgren (thx!) * utcoffset() is unpredictable when used with pandas datetime indices * only predictable with Python datetime objects or pandas Timestamps * instead replace tzinfo with None to get naive local times, and calculate difference from tz-aware times to get timezones * BUG: combine arithmetic to make calculation more efficient * also use asarray wrapper at return to ensure consistency * add comments to explain to future maintainers * stickler * remove try-except, doesn't work anyway, wait for pandas >=0.15.0
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Describe the bug
For some reason related to timezone handling, the
solarposition.hour_angle
function fails on pandas versions 0.15-0.18. We test 0.14 and latest. Apparently we were on pandas 0.19 or greater when this function was created.Also, the loop over datetime values is probably slow.
I think this gives the same result:
Versions:
pvlib.__version__
: 0.6.0pandas.__version__
:Additional context
probably should address #597 first
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