This makes a histogram of clock tick durations.

ClockTicksHisto.py

import time
import matplotlib.pyplot as plt
import math

class buckets:
    def __init__(self):
        self.data = {}
    def count(self,bucket):
        try:
            self.data[bucket]+=1
        except KeyError:
            self.data[bucket]=1

    def ids(self):
        return sorted(self.data.keys())
    def counts(self):
        return [self.data[k] for k in self.ids()]
    def softAccess(self,k):
        try:
            return self.data[k]
        except:
            return 0.

bs = []
count = 0
while True:
    b = buckets()
    start = time.time()
    mark1 = time.time()
    while mark1-start < 1:
        mark2 = time.time()
        b.count(mark2-mark1)
        mark1=mark2
    bs.append(b)
    allids = sorted(list(set().union(*list(set([k for k in bs[n].ids()]) for n in range(0,count+1)))))
    fig = plt.figure()
    ax = fig.add_axes([0, 0, 1, 1])
    countData = []
    for dataid in range(0,count+1):
        countids = bs[dataid].ids()
        counts = bs[dataid].counts()
        idx = 0
        countData.append([])
        for id in allids:
            if idx == len(countids):
                countData[dataid].append(0.)
            else:
                if id == countids[idx]:
                    countData[dataid].append(counts[idx])
                    idx+=1
                else:
                    countData[dataid].append(0.)
        if count == 0:
            bottom = [0. for k in allids]
        else:
            bottom = [sum([(math.log(bs[n].softAccess(k),10) if bs[n].softAccess(k)>1 else 0.1) if bs[n].softAccess(k) else 0. for n in range(0,dataid)]) for k in allids]
            #bottom = [0. for k in allids]
        ax.bar([str(k) for k in allids],[(math.log(k,10) if k>1 else 0.1) if k else 0. for k in countData[dataid]],label=str(count),bottom=bottom,alpha=1,align='edge', width=1.0)
    plt.show()
    count += 1