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pvlib / pvanalytics / 621 / 1
100%
master: 100%

Build:
Build:
LAST BUILD BRANCH: main
DEFAULT BRANCH: master
Ran 14 Aug 2020 09:16PM UTC
Files 35
Run time 7s
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14 Aug 2020 09:00PM UTC coverage: 99.908% (+0.001%) from 99.907%
621.1

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travis-ci

wfvining
Handle missing data in daytime.diff

Add parameter to specify frequency for Series where the frequency
cannot be inferred.

NaNs are treated like zeros. I'm not 100% sure this is the right
decision. In cases where there are many days of NaNs (more than a week
or two) it could cause problems with the good data to either
side. That said, getting a not-perfect mask for just the edges of a
gap is probably okay. In fact, I like this way better because it lets
you use the day/night mask based on a faulty irradiance sensor to
select daytime in some other data, which may not have the same gaps as
the irradiance data.

1084 of 1085 relevant lines covered (99.91%)

1.0 hits per line

Source Files on job 621.1
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  • List 0
  • Changed 2
  • Source Changed 2
  • Coverage Changed 2
Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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  • Travis Job 621.1
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