forked from rarias/bscpkgs
fig: use the $out path in the subtitle
The input dataset is not enough to determine which script produced a given plot.
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@@ -11,6 +11,7 @@ args=commandArgs(trailingOnly=TRUE)
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# Read the timetable from args[1]
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input_file = "input.json"
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if (length(args)>0) { input_file = args[1] }
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if (length(args)>1) { output = args[2] } else { output = "?" }
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# Load the dataset in NDJSON format
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dataset = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
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@@ -39,7 +40,7 @@ w=6
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p = ggplot(data=df, aes(x=size, y=median.bw)) +
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labs(x="Message size", y="Bandwidth (GB/s)",
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#title=sprintf("OSU benchmark: osu_bw", nodes, tasksPerNode, cpusPerTask),
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subtitle=gsub("-", "\uad", input_file)) +
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subtitle=gsub("-", "\uad", output)) +
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geom_line(aes(linetype=unitName)) +
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geom_point(aes(shape=unitName), size=1.5) +
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scale_shape_discrete(name = "MPI version") +
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@@ -73,7 +74,7 @@ ggsave("median-lines.pdf", plot=p, width=w, height=h, dpi=ppi)
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p = ggplot(data=df, aes(x=size, y=bw)) +
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labs(x="Message size", y="Bandwidth (MB/s)",
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#title=sprintf("OSU benchmark: osu_bw", nodes, tasksPerNode, cpusPerTask),
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subtitle=input_file) +
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subtitle=output) +
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geom_line(aes(y=median.bw, linetype=unitName, group=unitName)) +
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geom_point(aes(shape=unitName), size=2) +
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scale_shape(solid = FALSE) +
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