varcila/bscpkgs
1
0
Fork 0
forked from rarias/bscpkgs
Code Pull Requests Activity

fig: use the $out path in the subtitle

Browse Source 
The input dataset is not enough to determine which script produced a
given plot.
This commit is contained in:
Rodrigo Arias
2021-04-21 13:40:25 +02:00
parent 5a49611bf6
commit 92cd88e365
28 changed files with 88 additions and 61 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
garlic/fig/creams/granularity.R
View File

@@ -9,6 +9,7 @@ args = commandArgs(trailingOnly=TRUE)
# Set the input dataset if given in argv[1], or use "input" as default
if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
if (length(args)>1) { output = args[2] } else { output = "?" }
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
@@ -62,7 +63,7 @@ p = ggplot(df, aes(x=granul, y=normalized.time)) +
facet_wrap(branch ~ .) +
labs(x="granul", y="Normalized time",
title="Creams granularity: normalized time",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
@@ -75,7 +76,7 @@ p = ggplot(df, aes(x=granul, y=time, color=branch)) +
geom_line(aes(y=median.time, group=branch)) +
theme_bw() +
labs(x="granul", y="Time (s)", title="Creams granularity: time",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)

11
garlic/fig/creams/ss.R
View File

@@ -9,6 +9,7 @@ args = commandArgs(trailingOnly=TRUE)
# Set the input dataset if given in argv[1], or use "input" as default
if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
if (length(args)>1) { output = args[2] } else { output = "?" }
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
@@ -64,7 +65,7 @@ p = ggplot(df, aes(x=nodes, y=normalized.time, fill=granul, color=iterations)) +
facet_wrap(branch ~ .) +
labs(x="nodes", y="Normalized time",
title="Creams strong scaling: normalized time",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
@@ -78,7 +79,7 @@ p = ggplot(df, aes(x=nodes, y=time, color=gitBranch)) +
theme_bw() +
# facet_wrap(branch ~ .) +
labs(x="nodes", y="Time (s)", title="Creams strong scaling: time",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
@@ -92,7 +93,7 @@ p = ggplot(df, aes(x=nodes, y=median.time.nodes, color=branch)) +
theme_bw() +
#facet_wrap(branch ~ .) +
labs(x="nodes", y="Median time * nodes (s)", title="Creams strong scaling: median time * nodes",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("median.time.nodes.png", plot=p, width=w, height=h, dpi=dpi)
@@ -105,7 +106,7 @@ p = ggplot(df, aes(x=nodes, y=time.nodes, color=branch)) +
theme_bw() +
facet_wrap(branch ~ .) +
labs(x="nodes", y="Time * nodes (s)", title="Creams strong scaling: time * nodes",
subtitle=input_file) +
subtitle=output) +
theme(plot.subtitle=element_text(size=8))
ggsave("time.nodes.boxplot.png", plot=p, width=w, height=h, dpi=dpi)
@@ -120,7 +121,7 @@ ggsave("time.nodes.boxplot.pdf", plot=p, width=w, height=h, dpi=dpi)
# #facet_wrap(branch ~ .) +
# labs(x="nodes", y="Time * nodes / iterations (s)",
# title="Creams strong scaling: time * nodes / iterations",
# subtitle=input_file) +
# subtitle=output) +
# theme(plot.subtitle=element_text(size=8))
#
#ggsave("time.nodes.iter.png", plot=p, width=w, height=h, dpi=dpi)