Add plot scripts

plot/convergence.py

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+import pandas as pd
+import sys
+import matplotlib.pyplot as plt
+
+#df = pd.read_csv("convergence.csv", delimiter=" ")
+df_gs  = pd.read_csv("gs.csv", delimiter=" ")
+df_sor = pd.read_csv("sor.csv", delimiter=" ")
+
+fig, axes = plt.subplots()
+
+#df.plot(ax=axes, x="time", y="error", label="Current")
+df_sor.plot(ax=axes, x="time", y="error", label="SOR", color="red")
+df_gs.plot( ax=axes, x="time", y="error", label="GS", color="blue")
+
+plt.grid(True)
+plt.title("Heat 2D steady state Gauss-Seidel vs Succesive-Over-Relaxation")
+plt.ylabel("Absolute error (K)")
+plt.xlabel("Time (s)")
+plt.yscale("log")
+plt.savefig("err.png")
+

plot/readywave-cmp-ovni.R

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+library(ggplot2)
+library(dplyr, warn.conflicts = FALSE)
+library(scales)
+library(jsonlite)
+library(readr)
+
+# Load the arguments (argv)
+args = commandArgs(trailingOnly=TRUE)
+
+input_file = "data/readywave-instr.csv"
+
+df = read_delim(input_file, delim=",", show_col_types = FALSE) %>%
+  mutate(instr = as.factor(instr))
+
+dpi = 150
+h = 2
+w = 7
+
+# ---------------------------------------------------------------------
+
+p = ggplot(df, aes(time_ms, fill=instr)) +
+  geom_histogram(color="white", bins=50) +
+  #theme_bw() +
+  labs(x = "Time (ms)", title="bench6.readywave -r 100 -t 5000 -w 10")
+  # TODO: Add ntasks and taskwork to labels
+
+ggsave(sprintf("%s.png", input_file), plot=p, width=w, height=h, dpi=dpi)