JuliaPy / PyPlot.jl

Plotting for Julia based on matplotlib.pyplot
https://github.com/JuliaPy/PyPlot.jl
MIT License
475 stars 87 forks source link

don't export `step` #562

Closed t-bltg closed 1 year ago

t-bltg commented 1 year ago

Per https://github.com/stevengj/PythonPlot.jl/pull/20#issuecomment-1452421924.

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage has no change and project coverage change: -1.12 :warning:

Comparison is base (27b08db) 21.94% compared to head (b033209) 20.83%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #562 +/- ## ========================================== - Coverage 21.94% 20.83% -1.12% ========================================== Files 4 4 Lines 360 360 ========================================== - Hits 79 75 -4 - Misses 281 285 +4 ``` | [Impacted Files](https://codecov.io/gh/JuliaPy/PyPlot.jl/pull/562?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [src/PyPlot.jl](https://codecov.io/gh/JuliaPy/PyPlot.jl/pull/562?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL1B5UGxvdC5qbA==) | `13.60% <ø> (ø)` | | | [src/init.jl](https://codecov.io/gh/JuliaPy/PyPlot.jl/pull/562?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2luaXQuamw=) | `42.45% <0.00%> (-3.78%)` | :arrow_down: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None)

:umbrella: View full report at Codecov.
:loudspeaker: Do you have feedback about the report comment? Let us know in this issue.

t-bltg commented 1 year ago

CI failures are (classically) due to a mismatch between julia's libstdc++ and python's libstdc++, and thus unrelated to this PR.