= Jupyter Notebookメモ

CentOS7へのインストール。折角だからPython3系を利用してみる。
bashカーネルも入れておく。

{{{
yum install -y epel-release
yum install -y python34
curl -L https://bootstrap.pypa.io/get-pip.py | python3
pip3 install jupyter
pip3  install bash_kernel
python3 -m bash_kernel.install
jupyter-notebook
}}}

外部からアクセスするときは、下記のファイルを適宜編集。

~/.jupyter/jupyter_notebook_config.py

{{{
c.NotebookApp.ip = '0.0.0.0'
c.NotebookApp.port = 8888
}}}

== sarを表示

{{{
$ sar -A -o test.sar 1 10
}}}

などで取得したsarを表示するサンプルは、こんな感じ。


{{{
%matplotlib inline

import subprocess
from subprocess import Popen,PIPE
from datetime import datetime

import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import matplotlib.dates as mdates

def readSarCPU(f):
    args = ['/bin/bash','-c', "sadf -T --  -C " + f + " |awk '{print $3,$4,$6,$7}'"]
    p = Popen(args,stdout=PIPE,stderr=PIPE)
    out,err = p.communicate()
    cpu = {'%user': [], '%nice': [], '%system': [], '%iowait': [], '%steal': [], '%idle': []}
    timestamp = []
    x = 0
    prev = ""
    for l in out.split('\n'):
        if l == "":
            break;
        r = l.split(" ")

        if prev != r[1]:
            timestamp.append(datetime.strptime(r[0]+" "+r[1], '%Y-%m-%d %H:%M:%S'))
            prev = r[1]
            x = x+1
        cpu[r[2]].append(float(r[3]))
    return (timestamp, cpu)



def plot(x, data, title="",xlabel="",ylabel=""): 

    fp = FontProperties(fname='/usr/share/fonts/ipa-gothic/ipag.ttf')
    
    if title!="":
        plt.title(title, fontproperties=fp)
    if xlabel!="":
        plt.xlabel(xlabel,fontproperties=fp)
    if ylabel!="":
        plt.ylabel(ylabel,fontproperties=fp)

    plt.xticks(rotation=30)
    xfmt = mdates.DateFormatter('%m/%d %H:%M:%S')
    ax = plt.gca()
    ax.xaxis.set_major_formatter(xfmt)

    for k in cpu.keys():
        plt.plot(x,cpu[k], label=k)

    plt.legend(prop=fp,bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
    plt.show()

timestamp, cpu = readSarCPU("test.sar")
plot(x=timestamp, data=cpu,ylabel=u"%",xlabel=u"time")
}}}

== Jupyter Notebook + HighCharts

Jupyter Notebook + HighChartsでリッチなチャートを表示する例です。

python-highchartsをpipでインストールしておく必要があります。

{{{
import subprocess
from subprocess import Popen,PIPE
from datetime import datetime

from highcharts import Highchart
H = Highchart(width=640, height=400)

def readSarCPU(f):
    args = ['/bin/bash','-c', "sadf -T --  -C " + f + " |awk '{print $3,$4,$6,$7}'"]
    p = Popen(args,stdout=PIPE,stderr=PIPE)
    out,err = p.communicate()
    cpu = {'%user': [], '%nice': [], '%system': [], '%iowait': [], '%steal': [], '%idle': []}
    timestamp = []
    x = 0
    prev = ""
    for l in out.decode('utf8').split('\n'):
        if l == "":
            break;
        r = l.split(" ")

        if prev != r[1]:
            timestamp.append(datetime.strptime(r[0]+" "+r[1], '%Y-%m-%d %H:%M:%S'))
            prev = r[1]
            x = x+1
        cpu[r[2]].append(float(r[3]))
    return (timestamp, cpu)


def plot(x, data, highchart, title="",xlabel="",ylabel=""): 

    options = {
        'title': {
            'text': 'CPU Usage'
        },
        'subtitle': {
            'text': 'Source: test.sar'
        },
        'xAxis': {
            'type': 'datetime',
            'minRange': 1000*len(x)
        },
        'yAxis': {
            'title': {
                'text': ylabel
            },
            'labels': {
                'formatter': 'function () {\
                                    return this.value ;\
                                }'
            },
            'max': 100
        },
        'tooltip': {
            'shared': True,
            'valueSuffix': ylabel
        },
        'plotOptions': {
            'area': {
                'stacking': 'normal',
                'lineColor': '#666666',
                'lineWidth': 1,
                'marker': {
                    'lineWidth': 1,
                    'lineColor': '#666666'
                }
            }
        }
    }
    highchart.set_dict_options(options)
    for k in data.keys():
        highchart.add_data_set(data[k],'area',k,pointInterval=1000, pointStart=x[0])
        
timestamp, cpu = readSarCPU("test.sar")
plot(x=timestamp, data=cpu,ylabel=u"%",xlabel=u"time",highchart=H)
H
}}}