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fig: use the $out path in the subtitle

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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
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3
garlic/fig/heat/cache.R
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@@ -9,6 +9,7 @@ args=commandArgs(trailingOnly=TRUE)
# Read the timetable from args[1]
input_file = "input.json"
if (length(args)>0) { input_file = args[1] }
if (length(args)>1) { output = args[2] } else { output = "?" }
# Load the dataset in NDJSON format
dataset = jsonlite::stream_in(file(input_file)) %>%
@@ -49,7 +50,7 @@ heatmap_plot = function(df, colname, title) {
guides(fill = guide_colorbar(barwidth=12, title.vjust=0.8)) +
labs(x="cbs", y="rbs",
title=sprintf("Heat granularity: %s", title),
subtitle=input_file) +
subtitle=output) +
theme(legend.position="bottom")
k=1

5
garlic/fig/heat/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) %>%
@@ -47,7 +48,7 @@ p = ggplot(df, aes(x=cbs, y=normalized.time)) +
theme_bw() +
labs(y="Normalized time",
title="Heat 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)
@@ -60,7 +61,7 @@ p = ggplot(df, aes(x=cbs, y=time)) +
geom_line(aes(y=median.time, group=0)) +
theme_bw() +
labs(y="Time (s)", title="Heat 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)

7
garlic/fig/heat/mode.R
View File

@@ -10,6 +10,7 @@ args=commandArgs(trailingOnly=TRUE)
# Read the timetable from args[1]
input_file = "input.json"
if (length(args)>0) { input_file = args[1] }
if (length(args)>1) { output = args[2] } else { output = "?" }
# Load the dataset in NDJSON format
dataset = jsonlite::stream_in(file(input_file)) %>%
@@ -62,7 +63,7 @@ heatmap_plot = function(df, colname, title) {
guides(fill = guide_colorbar(barwidth=12, title.vjust=0.8)) +
labs(x="cbs", y="rbs",
title=sprintf("Heat granularity: %s", title),
subtitle=input_file) +
subtitle=output) +
theme(legend.position="bottom")
k=1
@@ -103,7 +104,7 @@ p = ggplot(df_square, aes(x=cbs, y=acc.time)) +
labels = c("Total time"), guide = "legend") +
labs(x="Blocksize (side)", y="Time (s)",
fill="Estimated", color="Direct measurement",
title="Heat granularity: time distribution", subtitle=input_file)
title="Heat granularity: time distribution", subtitle=output)
ggsave("area.time.png", plot=p, width=6, height=6, dpi=300)
ggsave("area.time.pdf", plot=p, width=6, height=6, dpi=300)
@@ -115,7 +116,7 @@ p = ggplot(df_square, aes(x=cbs, y=acc.time)) +
theme(legend.position=c(0.5, 0.7)) +
labs(x="Blocksize (side)", y="Time (s)",
fill="Estimated", color="Direct measurement",
title="Heat granularity: time distribution", subtitle=input_file)
title="Heat granularity: time distribution", subtitle=output)
ggsave("col.time.png", plot=p, width=6, height=6, dpi=300)
ggsave("col.time.pdf", plot=p, width=6, height=6, dpi=300)