8000 sam iotools #1371 by shirubana · Pull Request #1556 · pvlib/pvlib-python · GitHub
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sam iotools #1371 #1556

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100d1f4
sam iotools #1371
shirubana Sep 22, 2022
dfd5aa9
add to reference
shirubana Sep 22, 2022
1de291b
update the latest whatsnew that I found
shirubana Sep 22, 2022
2de5a37
stickler
shirubana Sep 22, 2022
19b05bd
stickler take 2
shirubana Sep 22, 2022
c573344
stickler take 3
shirubana Sep 22, 2022
d9672e9
codecov fix
shirubana Sep 22, 2022
98407a6
back with the stickler
shirubana Sep 23, 2022
ebded83
Anton's suggestion
shirubana Sep 23, 2022
82a24c9
update samp.py
shirubana Oct 7, 2022
9d3c87b
pvlib.iotools.read_psm3 updates for SAM
shirubana Oct 11, 2022
5d72491
updates williamhobbs
shirubana Oct 13, 2022
82de598
propagate new write_sam name
shirubana Oct 13, 2022
747acc8
silently cursing the stickler in spanish..
shirubana Oct 13, 2022
1b684e0
again
shirubana Oct 13, 2022
f366fcf
i don't get it
shirubana Oct 13, 2022
0dfa847
Update pvlib/tests/iotools/test_sam.py
shirubana Oct 14, 2022
492e373
loop data
shirubana Oct 14, 2022
e4356f9
asdf
shirubana Oct 14, 2022
34f2f9c
DNI and DHI typo
shirubana Apr 10, 2023
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update samp.py 
got it wrong, it should be left labeled. Added other values of use for SAM for wind simulations
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@shirubana
shirubana committed Oct 7, 2022
commit 82a24c9eba6d179d2ebeccb1d6b154ba0d41ad34
11 changes: 10 additions & 1 deletion pvlib/iotools/sam.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ def _is_leap_and_29Feb(s):
((s.index.year % 100 != 0) | (s.index.year % 400 == 0)) & \
(s.index.month == 2) & (s.index.day == 29)

def _averageSAMStyle(df, interval='60T', closed='right', label='right'):
def _averageSAMStyle(df, interval='60T', closed='left', label='left'):
''' Averages subhourly data into hourly data in SAM's expected format.
'''
df = df.resample(interval, closed=closed, label=label).mean()
Expand Down Expand Up @@ -120,6 +120,15 @@ def _fillYearSAMStyle(df, freq='60T'):
if 'poa' in data:
savedata['POA'] = data.poa.values

if 'rh' in data:
savedata['rh'] = data.rh.values

if 'pressure' in data:
savedata['pressure'] = data.pressure.values

if 'wdir' in data:
savedata['wdir'] = data.wdir.values

if 'albedo' in data:
savedata['Albedo'] = data.albedo.values

Expand Down
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