/
matplotlib-draw.py
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matplotlib-draw.py
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# -*- coding: utf-8 -*-
"""
Created on Sat May 07 10:38:00 2016
@author: welion
"""
import matplotlib.pylab as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import pymongo
tran_rec = {"TRAN_SUC":"60",
"TRAN_TPM":"21.243",
"TRAN_TIME":"80",
"TRAN_ACC":"54",
"TRAN_REV":"42",
"TRAN_TYPE":"100",}
app_rec={"APP_CTP":"128",
"APP_NOF":"16",
"APP_MQN":"24",
"APP_MQS":"12",
"APP_LOG":"16",
"APP_HAND":"37",}
db_rec={"DB_CPU":"63",
"DB_HIR":"95",
"DB_IDXCON":"0",
"DB_LOCK":"5",
"DB_TAB":"75",
"DB_WAIT":"10",}
os_rec={"OS_PING":"100",
"OS_CPU":"45",
"OS_MEM":"65",
"OS_SWAP":"12",
"OS_STOR":"54",
"OS_IO":"110",}
net_rec={"NET_LINK":"100",
"NET_LOSS":"0",
"NET_LINKNUM":"382",
"NET_BW":"10",
}
phy_rec={"PHY_FIRE":"100",
"PHY_WATER":"100",
"PHY_POW":"100",
"PHY_VOL":"100",
"PHY_TEM":"22",
"PHY_HUM":"43",}
moni_dict = {}
for i in (tran_rec,app_rec,db_rec,os_rec,net_rec,phy_rec):
moni_dict.update(i)
def moni_block(moni_dict):
z=zeros((6,6))
z[0][0] = moni_dict["TRAN_SUC"]
z[0][1] = moni_dict["TRAN_TPM"]
z[0][2] = moni_dict["TRAN_TIME"]
z[0][3] = moni_dict["TRAN_ACC"]
z[0][4] = moni_dict["TRAN_REV"]
z[0][5] = moni_dict["TRAN_TYPE"]
z[1][0] = moni_dict["APP_CTP"]
z[1][1] = moni_dict["APP_NOF"]
z[1][2] = moni_dict["APP_MQN"]
z[1][3] = moni_dict["APP_MQS"]
z[1][4] = moni_dict["APP_LOG"]
z[1][5] = moni_dict["APP_HAND"]
z[2][0] = moni_dict["DB_CPU"]
z[2][1] = moni_dict["DB_HIR"]
z[2][2] = moni_dict["DB_IDXCON"]
z[2][3] = moni_dict["DB_LOCK"]
z[2][4] = moni_dict["DB_TAB"]
z[2][5] = moni_dict["DB_WAIT"]
z[3][0] = moni_dict["OS_PING"]
z[3][1] = moni_dict["OS_CPU"]
z[3][2] = moni_dict["OS_MEM"]
z[3][3] = moni_dict["OS_SWAP"]
z[3][4] = moni_dict["OS_STOR"]
z[3][5] = moni_dict["OS_IO"]
z[4][0] = moni_dict["NET_LINK"]
z[4][1] = moni_dict["NET_LOSS"]
z[4][2] = moni_dict["NET_LINKNUM"]
z[4][3] = moni_dict["NET_BW"]
z[4][4] = moni_dict["NET_BW"]
z[4][5] = moni_dict["NET_BW"]
z[5][0] = moni_dict["PHY_FIRE"]
z[5][1] = moni_dict["PHY_WATER"]
z[5][2] = moni_dict["PHY_POW"]
z[5][3] = moni_dict["PHY_VOL"]
z[5][4] = moni_dict["PHY_TEM"]
z[5][5] = moni_dict["PHY_HUM"]
return z
def f(x,y):
z = x + y
z = np.array([[-2,-3,1,2,3,4],
[-1,-2,0.5,0,1,1.5],[-0.5,1,1,2,3,4],[-0.2,1,1,3,4,5],[0,1,2,3,2,1],[1,2,3,4,5,2]])
z[1][1] = 9
return z
n = 1
#均匀生成-3到3之间的n个值
x = np.arange(0,6,n)
y = np.arange(0,6,n)
#生成网格数据
X,Y = np.meshgrid(x,y)
fig = plt.figure()
#2行2列的子图中的第一个，第一行的第一列
subfig1 = fig.add_subplot(2,2,1)
#画等值线云图
surf1 = plt.contourf(X, Y, moni_block(moni_dict))
#添加色标
fig.colorbar(surf1)
#添加标题
plt.title('contourf+colorbar')
#d第二个子图，第一行的第二列
subfig2 = fig.add_subplot(2,2,2)
#画等值线
surf2 = plt.contour(X, Y, moni_block(moni_dict))
#等值线上添加标记
plt.clabel(surf2, inline=1, fontsize=10, cmap='jet')
#添加标题
plt.title('contour+clabel')
#第三个子图，第二行的第一列
subfig3 = fig.add_subplot(2,2,3,projection='3d')
#画三维边框
surf3 = subfig3.plot_wireframe(X, Y, moni_block(moni_dict), rstride=10, cstride=10, color = 'y')
#画等值线
plt.contour(X, Y, f(X,Y))
#设置标题
plt.title('plot_wireframe+contour')
#第四个子图，第二行的第二列
subfig4 = fig.add_subplot(2,2,4,projection='3d')
#画三维图
surf4 = subfig4.plot_surface(X, Y,moni_block(moni_dict), rstride=1, cstride=1, cmap='jet',
linewidth=0, antialiased=False)
#设置色标
fig.colorbar(surf4)
#设置标题
plt.title('plot_surface+colorbar')
plt.show()