mutomasa

#ターゲットごとに８つの特徴量を表示する
fig,axes = plt.subplots(4,2,figsize=(10,20))

ax = axes.ravel()
for i in range(8):
ax[i].hist(survived_data.iloc[:,i],bins=15,color='#66bd63',alpha=.5)
ax[i].hist(not_survived_data.iloc[:,i],bins=15,color='#f46d43',alpha=.5)
ax[i].set_title(survived_data.columns[i])
ax[i].set_yticks(())
ax[0].set_xlabel("Feature magnitude")

mutomasa

sns.distplot(df[df['Survived']==1]['Fare'],kde=False,rug=False,bins=10,label='Survived')
sns.distplot(df[df['Survived']==0]['Fare'],kde=False,rug=False,bins=10,label='Death')
plt.legend()

mutomasa

sns.countplot('Pclass',data=df,hue='Survived')

mutomasa

heatmap_data = df[['Age','Pclass','Fare','Survived']]
sns.heatmap(heatmap_data.corr(), annot=True, fmt='.2f', cmap='summer')

mutomasa

sns.pairplot(df[["Survived", "Pclass", "SibSp", "Parch", "Age", "Fare"]], hue="Survived")
plt.show()

mutomasa

## admittedly,I can't make use of Windows{XP,7,8}.
## but,some tools are required to be good at workplace sometimes.
## categories are not sorted.
## 2013/07/22 Ver1.0 

．Sysinternals 
・fping
・WinMerge
・NetEnum
・Xnview

mutomasa

##動機##
シェルスクリプトってなんだか難しくね.
サービス監視スクリプトなどのルーティンワークなどは
テンプレ化しようよ。

##

mutomasa

# encoding: UTF-8

require 'csv'
require 'date'

require_relative 'kishocho'
include Kishocho

# puts Kishocho.get_10_min_data(1192, Date.new(2010, 5, 1))

mutomasa

# encoding: UTF-8

require 'csv'
require 'date'

require_relative 'kishocho'
include Kishocho

# puts Kishocho.get_10_min_data(1192, Date.new(2010, 5, 1))

mutomasa

ab -k -n 100 -c 5 http://example.com/
ab -k -n 1000 -c 100 http://example.com/