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#!/usr/bin/env python3
import matplotlib.pyplot as plt
import numpy as np
import csv
import sys
import os
import parseMe
import common
def processFile(inputFile, ax, color, tag):
data = csv.reader(open(inputFile, "r"), delimiter=",", quotechar="|")
data1 = np.array([row[0] for row in data], dtype=float)
idx = np.argmax(data1 < parseMe.command_options[parseMe.TAGS["zero"]])
if idx == 0:
idx = data1.size
if idx > 10:
ax.plot(data1[0:idx], "--o", color=color)
ax.set_xticks([0, data1.size - 1])
# ax.set_xticks([]) # no x ticks
else:
if color == "r":
ax.plot(range(idx), data1[0:idx], "--o", color=color)
else:
ax.plot(range(idx), data1[0:idx], "-x", color=color)
ax.set_xticks(range(0, idx))
# print (data1[0:idx])
ax.set_ylabel(tag, c=color)
ax.set_xlabel("ranks")
ax.tick_params(axis="y", labelcolor=color)
ax.grid()
if len(logScaleAxis) == 0:
ax.ticklabel_format(useOffset=False)
if "x" in logScaleAxis:
ax.set_xscale("log")
if "y" in logScaleAxis:
ax.set_yscale("log")
if __name__ == "__main__":
print("Script name:", sys.argv[0])
if len(sys.argv) == 1:
print("Need Arguments for files")
sys.exit()
fig, ax1 = plt.subplots()
if len(parseMe.args.ioTypes) > 2:
print("Unable to do 3 way comparison")
sys.exit()
elif len(parseMe.args.ioTypes) == 2:
ax2 = ax1.twinx()
# note: logscale and ticklabel_format cannot be present together. python error
logScaleAxis = ""
if "logScale" in parseMe.command_options:
logScaleAxis = parseMe.command_options["logScale"]
jsonAttrStr = parseMe.command_options[parseMe.TAGS["attr"]]
# 'secs' or 'nCalls' or 'MB'
whichKind = "secs"
if "whichKind" in parseMe.command_options:
whichKind = "MB"
for i in range(0, len(parseMe.args.ioTypes)):
ioType = parseMe.args.ioTypes[i]
inputFile = (
parseMe.command_options[parseMe.TAGS["input_dir"]] +
ioType +
"_" +
whichKind +
"_" +
jsonAttrStr
)
currLabel = ioType + " " + jsonAttrStr + " ( " + whichKind + " )"
if i == 0:
processFile(inputFile, ax1, "r", currLabel)
else:
processFile(inputFile, ax2, "gray", currLabel)
if len(parseMe.args.ioTypes) > 1:
levelUp = False
bottom_ax1, top_ax1 = ax1.get_ylim()
bottom_ax2, top_ax2 = ax2.get_ylim()
levelUp = parseMe.command_options[parseMe.TAGS["level"]]
# else:
# if ( max(top_ax1, top_ax2)/min(top_ax1, top_ax2) < 2):
# levelUp = true
if levelUp:
ax1.set_ylim(min(bottom_ax1, bottom_ax2), max(top_ax1, top_ax2))
ax2.set_ylim(min(bottom_ax1, bottom_ax2), max(top_ax1, top_ax2))
# plt.title('Bar Plot of Two Columns')
# plt.legend()
# plt.tight_layout()
figName = parseMe.command_options[parseMe.TAGS["out"]] + "_" + jsonAttrStr
figName = figName.replace(".", "_")
if len(logScaleAxis) > 0:
figName = figName + "_log_" + logScaleAxis
common.saveMe(figName)
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