Added plots generator

Author: fmixing

benchmarks/plots-generators/generate-flatten-merge-flow-plots.py

@@ -0,0 +1,54 @@
+import pandas as pd
+import random
+import matplotlib.pyplot as plt
+from matplotlib.ticker import FormatStrFormatter
+from matplotlib.colors import ListedColormap
+from matplotlib.backends.backend_pdf import PdfPages
+
+inputFile = "jmh-result.csv"
+outputFile = "flatten-merge-plots.pdf"
+elements = 10000
+flattenMergeBenchmarkName="benchmarks.flow.FlattenMergeBenchmark.flattenMerge"
+
+def nextColour():
+    colours = ['black', 'silver', 'red', 'gold', 'sienna', 'olivedrab', 'lightseagreen', 'navy', 'blue', 'm', 'crimson', 'yellow', 'orangered', 'slateblue', 'aqua']
+
+    for colour in colours:
+        yield colour
+
+def nextMarker():
+    markers = ['.', 'v', '^', '1', '2', '8', 'p', 'P', 'x', 'D', 'd', 's']
+
+    for marker in markers:
+        yield marker
+
+def draw(data, ax):
+    data = data[(data.benchmark == flattenMergeBenchmarkName)]
+
+    ax.set_xscale('log', basex=2)
+    ax.xaxis.set_major_formatter(FormatStrFormatter('%0.f'))
+    ax.grid(linewidth='0.5', color='lightgray')
+    ax.set_ylabel(data.unit.unique()[0])
+    ax.set_xlabel('parallelism')
+    ax.set_xticks(data.concurrency.unique())
+
+    colourGen = nextColour()
+    markerGen = nextMarker()
+    for flows in data.flows.unique():
+        genColour = next(colourGen)
+        genMarker = next(markerGen)
+        res = data[(data.flows == flows)]
+        ax.plot(res.concurrency, res.score*elements, label="flows={}".format(flows), color=genColour, marker=genMarker)
+
+def genFile(pdf):
+    data = pd.read_table(inputFile, sep=",", skiprows=1, names=["benchmark","mode","threads","samples","score","scoreError","unit","concurrency","flows"])
+    fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(20, 20))
+    draw(data, ax)
+    lines, labels = ax.get_legend_handles_labels()
+    fig.legend(lines, labels, loc='upper center', borderpad=0, ncol=4, frameon=False, borderaxespad=4, prop={'size': 8})
+
+    plt.tight_layout(pad=12, w_pad=2, h_pad=1)
+    pdf.savefig(bbox_inches='tight')
+
+with PdfPages(outputFile) as pdf:
+    genFile(pdf)