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More people contribute to pyswmm compared to swmmr, which we currently use in different projects.
However, pyswmm could be also accessed from R via the reticulate R package.
Using pyswmm would improve the readability of the code e.g. for LID definition which is cumbersome with swmmr (e.g. LID parameters defined by their column position instead of their names: https://github.com/KWB-R/LIDsensitivity/blob/master/sensitivityAnalysis.R#L85): https://pyswmm.readthedocs.io/en/latest/tutorial/tutorial.html#lid-controls
pyswmm
swmmr
The text was updated successfully, but these errors were encountered:
DLL load Error occing in case of importing pyswmm is shown here:
https://github.com/KWB-R/kwb.swmm/blob/93441fcfebb297459fce7f3cd527a2b94af3a553/vignettes/swmm_python.Rmd
Is probably related to problems in R package reticulate to deal with different Cindy environments/Python Versions: rstudio/reticulate#367
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Fix for pyswmm test tutorial (#1)
f92b73f
Install pyswmm v0.6.2 with gh-actions (#1)
601b3b5
mrustl
No branches or pull requests
More people contribute to pyswmm compared to swmmr, which we currently use in different projects.
However, pyswmm could be also accessed from R via the reticulate R package.
Using
pyswmm
would improve the readability of the code e.g. for LID definition which is cumbersome withswmmr
(e.g. LID parameters defined by their column position instead of their names: https://github.com/KWB-R/LIDsensitivity/blob/master/sensitivityAnalysis.R#L85):https://pyswmm.readthedocs.io/en/latest/tutorial/tutorial.html#lid-controls
The text was updated successfully, but these errors were encountered: