Commit 1088251d authored by Stefan Reif's avatar Stefan Reif
Browse files

Plot latency criticality 

Create a plot file that visualises the latency criticality of code
regions.
parent f47333ab

xlap/analyse/latency.py

+12 −1
Original line number Diff line number Diff line
@@ -2,6 +2,7 @@ import pandas as pd 
import matplotlib.pyplot as plt

from xlap.analyse.util import get_outlier_threshold, extract_durations, box

from scipy.stats.stats import pearsonr

import numpy as np

import sys
@@ -119,10 +120,20 @@ def _plot_critical_regions(df,hdb): 
    """

    plot regions, sorted by latency criticality

    """

    # TODO: actually plot the data

    for region in sorted(hdb, key = lambda x: -x['Correlation']):

        print("%-10f %10s -> %10s"%(region['Correlation'], region['Start'], region['End']), file=sys.stderr)



    relevant = sorted([x for x in hdb if x['Correlation'] > 0], key = lambda x: -x['Correlation'])

    x = np.arange(len(relevant))

    bars = plt.bar(x, list(map(lambda x: x['Correlation'], relevant)))

    # TODO: find a more elegant solution for the label text

    plt.xticks(x, list(map(lambda x: "%s-%s"%(x['Start'][:-2], x['End'][:-2]) , relevant)), rotation=90)

    plt.tight_layout()

    plt.savefig("latency-criticality.png")

    plt.close()









def analyse(df, config):

    hb = []