In [1]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [2]:

    

import pandas as pd


    

In [3]:

    

import matplotlib
matplotlib.style.use('ggplot')


    

In [4]:

    

from StringIO import StringIO


    

In [5]:

    

!julia -e 'versioninfo()'


    

    




Julia Version 0.4.0
Commit 0ff703b* (2015-10-08 06:20 UTC)
Platform Info:
  System: Darwin (x86_64-apple-darwin14.5.0)
  CPU: Intel(R) Core(TM) i5-4288U CPU @ 2.60GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.3

In [6]:

    

!git show -s HEAD


    

    




commit 6ea7236d2467594059276f8a4ebbe553d7a61ca8
Author: Kenta Sato <bicycle1885@gmail.com>
Date:   Fri Oct 9 09:05:23 2015 +0900

    add pop!

In [7]:

    

!git status


    

    




On branch master
Your branch is ahead of 'origin/master' by 1 commit.
  (use "git push" to publish your local commits)
Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git checkout -- <file>..." to discard changes in working directory)

	modified:   benchmark.ipynb

no changes added to commit (use "git add" and/or "git commit -a")

In [8]:

    

bench = !julia benchmark.jl
bench = "\n".join(bench)
bench = pd.read_table(StringIO(bench))


    

In [9]:

    

bench


    

    
Out[9]:






  

    

      

      
size
      
construction
      
minimum
      
maximum
      
push!
      
pop!
      
popmin!
      
popmax!
    
  
  

    

      
0
      
100
      
0.000005
      
6.130000e-09
      
6.120000e-09
      
8.150000e-08
      
4.160000e-08
      
1.954000e-07
      
1.885000e-07
    
    

      
1
      
183
      
0.000007
      
5.120000e-09
      
5.130000e-09
      
6.800000e-08
      
3.540000e-08
      
1.773000e-07
      
1.707000e-07
    
    

      
2
      
335
      
0.000012
      
5.150000e-09
      
5.140000e-09
      
1.060000e-07
      
3.660000e-08
      
2.115000e-07
      
1.992000e-07
    
    

      
3
      
615
      
0.000023
      
5.190000e-09
      
5.170000e-09
      
3.730000e-07
      
3.570000e-08
      
2.206000e-07
      
2.217000e-07
    
    

      
4
      
1128
      
0.000039
      
5.110000e-09
      
5.170000e-09
      
5.375000e-07
      
3.650000e-08
      
2.410000e-07
      
2.415000e-07
    
    

      
5
      
2069
      
0.000076
      
5.200000e-09
      
5.220000e-09
      
8.367000e-07
      
3.650000e-08
      
2.493000e-07
      
2.589000e-07
    
    

      
6
      
3792
      
0.000139
      
5.140000e-09
      
5.220000e-09
      
3.662000e-07
      
3.540000e-08
      
2.833000e-07
      
2.854000e-07
    
    

      
7
      
6951
      
0.000239
      
5.190000e-09
      
5.210000e-09
      
4.491000e-07
      
4.480000e-08
      
3.221000e-07
      
3.007000e-07
    
    

      
8
      
12742
      
0.000428
      
5.170000e-09
      
5.140000e-09
      
7.674000e-07
      
3.710000e-08
      
3.095000e-07
      
3.177000e-07
    
    

      
9
      
23357
      
0.000852
      
5.160000e-09
      
5.220000e-09
      
1.239400e-06
      
4.010000e-08
      
3.405000e-07
      
3.563000e-07
    
    

      
10
      
42813
      
0.001490
      
5.220000e-09
      
5.140000e-09
      
2.656800e-06
      
5.390000e-08
      
3.821000e-07
      
3.880000e-07
    
    

      
11
      
78475
      
0.002944
      
5.220000e-09
      
5.170000e-09
      
4.606600e-06
      
4.570000e-08
      
3.922000e-07
      
4.383000e-07
    
    

      
12
      
143844
      
0.004923
      
5.240000e-09
      
5.190000e-09
      
9.076100e-06
      
5.280000e-08
      
4.618000e-07
      
4.712000e-07
    
    

      
13
      
263665
      
0.011028
      
5.790000e-09
      
5.770000e-09
      
8.124900e-06
      
7.890000e-08
      
5.350000e-07
      
5.511000e-07
    
    

      
14
      
483293
      
0.017495
      
6.690000e-09
      
5.230000e-09
      
1.104030e-05
      
9.090000e-08
      
5.992000e-07
      
6.655000e-07
    
    

      
15
      
885866
      
0.035352
      
6.020000e-09
      
6.350000e-09
      
2.276420e-05
      
9.540000e-08
      
7.815000e-07
      
7.767000e-07
    
    

      
16
      
1623776
      
0.064679
      
6.370000e-09
      
7.130000e-09
      
1.438830e-05
      
8.520000e-08
      
8.973000e-07
      
8.922000e-07
    
    

      
17
      
2976351
      
0.126674
      
6.510000e-09
      
6.770000e-09
      
2.877575e-04
      
8.960000e-08
      
9.633000e-07
      
9.294000e-07
    
    

      
18
      
5455594
      
0.250006
      
5.990000e-09
      
7.030000e-09
      
1.634151e-03
      
9.570000e-08
      
1.064200e-06
      
1.099800e-06
    
    

      
19
      
10000000
      
0.465622
      
6.410000e-09
      
6.320000e-09
      
4.803100e-05
      
9.420000e-08
      
1.127900e-06
      
1.264000e-06
    
  

In [10]:

    

figsize(12, 8)


    

In [11]:

    

bench.plot(x="size",
           title="Elapsed time per operation",
           logx=True, logy=True,
           linestyle="--", marker="o")
ylabel("elapsed time [s]")


    

    
Out[11]:





<matplotlib.text.Text at 0x10931d190>






    

In [12]:

    

bench.plot(x="size", y="construction", linestyle="--", marker="o")


    

    
Out[12]:





<matplotlib.axes._subplots.AxesSubplot at 0x1095d50d0>






    

In [13]:

    

bench.plot(x="size", y=["minimum", "maximum"], linestyle="--", marker="o")


    

    
Out[13]:





<matplotlib.axes._subplots.AxesSubplot at 0x10983ded0>






    

In [14]:

    

bench.plot(x="size", y="push!", linestyle="--", marker="o")


    

    
Out[14]:





<matplotlib.axes._subplots.AxesSubplot at 0x109fe5c90>






    

In [15]:

    

bench.plot(x="size", y="pop!", linestyle="--", marker="o")


    

    
Out[15]:





<matplotlib.axes._subplots.AxesSubplot at 0x10a3e0cd0>






    

In [16]:

    

bench.plot(x="size", y=["popmin!", "popmax!"], linestyle="--", marker="o")


    

    
Out[16]:





<matplotlib.axes._subplots.AxesSubplot at 0x10a3cd990>