def plot(path):
table = dataextract.readCSVTable(path)
# Take only the little endian results
#~ table = dataextract.select(table, [(1, "le")])
# Express buffer size in kB
table = [(r[0], r[1], r[2]/1024, r[3]) for r in table]
# Express throughput in GB/s
#~ table = [(r[0], r[1], r[2], r[3]/1024.) for r in table]
groups = dataextract.groupBy(table, [0, 1])
datasets = []
keys = groups.keys()
keys.sort(labelCmp)
for key in keys:
data = dataextract.selectStatsConfPlot(groups[key], [2], 3)
label = ("Buffer Size (kB)", "%s %s" % (LABEL_MAP[key[0]], LABEL_MAP[key[1]]))
#~ label = ("Buffer Size (kB)", LABEL_MAP[key[0]])
print label
data.insert(0, label)
datasets.append(data)
print data
#~ data = dataextract.selectStatsConfPlot(table, [0, 1, 2], 3)
#~ print data
options = {
"key": "bottom right",
"errorbars": [1],
"xrange": "[0:]",
"yrange": "[0:]",
#~ "ylabel": "Write Throughput (GB/s)",
#~ "ylabel": "Fill Byte Throughput (MB/s)",
"ylabel": "Fill Int Throughput (MB/s)",
"xformat": "%.0f",
#~ "xtics": "1024",
"yformat": "%.0f",
}
stupidplot.gnuplotTable(datasets, "out.eps", options)
output.append(current_results)
current_results = [[xaxis_column, str(row_type)]]
last_type = row_type
current_results.append((r[xaxis_index], r[yaxis_index]))
if current_results is not None:
output.append(current_results)
return output
if __name__ == "__main__":
input_path = sys.argv[1]
# Load the CSV data
table = dataextract.readCSVTable(input_path)
# Load the data into SQLite
connection = sqlite3.connect(":memory:")
dataextract.sqlFromTable(connection, "results", table)
c = connection.cursor()
charsets = []
for r in connection.execute("select distinct charset from results"):
charsets.append(r[0])
for charset in charsets:
output = xaxis(c, "string_length", "chars_per_us", charset=charset)
average_out = []
for table in output:
average_table = [table[0]]
