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发布日期: 2016-07-26

文章字数: 481

阅读时长: 2 分

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`# -- coding: utf-8 --
#**
import os
import numpy as np
import wlab #pip install wlab
import matplotlib
import matplotlib.cm as cm
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from scipy.interpolate import griddata
matplotlib.rcParams[‘xtick.direction’] = ‘out’
matplotlib.rcParams[‘ytick.direction’] = ‘out’
#**
FreqPLUS=[‘F06925’,’F10650’,’F23800’,’F18700’,’F36500’,’F89000’]

FindPath=’/d3/MWRT/R20130805/‘
#**
fig = plt.figure(figsize=(8,6), dpi=72, facecolor=”white”)
axes = plt.subplot(111)
axes.cla()#清空坐标轴内的所有内容
#指定图形的字体
font = {‘family’ : ‘serif’,
‘color’ : ‘darkred’,
‘weight’ : ‘normal’,
‘size’ : 16,
}
#**

查找目录总文件名中保护F06925，EMS和txt字符的文件

for fp in FreqPLUS:
FlagStr=[fp,’EMS’,’txt’]
FileList=wlab.GetFileList(FindPath,FlagStr)
#
LST=[]#地表温度
EMS=[]#地表发射率
TBH=[]#水平极化亮温
TBV=[]#垂直极化亮温
#
findex=0
for fn in FileList:
findex=findex+1
if (os.path.isfile(fn)):
print(str(findex)+’–>’+fn)
#fn=’/d3/MWRT/R20130805/F06925_EMS60.txt’
data=wlab.dlmread(fn)
EMS=EMS+list(data[:,1])#地表发射率
LST=LST+list(data[:,2])#温度
TBH=TBH+list(data[:,8])#水平亮温
TBV=TBV+list(data[:,9])#垂直亮温
#———————————————————–
#生成格点数据，利用griddata插值
grid_x, grid_y = np.mgrid[275:315:1, 0.60:0.95:0.01]
grid_z = griddata((LST,EMS), TBH, (grid_x, grid_y), method=’cubic’)
#将横纵坐标都映射到（0，1）的范围内
extent=(0,1,0,1)
#指定colormap
cmap = matplotlib.cm.jet
#设定每个图的colormap和colorbar所表示范围是一样的，即归一化
norm = matplotlib.colors.Normalize(vmin=160, vmax=300)
#显示图形，此处没有使用contourf #>>>ctf=plt.contourf(grid_x,grid_y,grid_z)
gci=plt.imshow(grid_z.T, extent=extent, origin=’lower’,cmap=cmap, norm=norm)
#配置一下坐标刻度等
ax=plt.gca()
ax.set_xticks(np.linspace(0,1,9))
ax.set_xticklabels( (‘275’, ‘280’, ‘285’, ‘290’, ‘295’, ‘300’, ‘305’, ‘310’, ‘315’))
ax.set_yticks(np.linspace(0,1,8))
ax.set_yticklabels( (‘0.60’, ‘0.65’, ‘0.70’, ‘0.75’, ‘0.80’,’0.85’,’0.90’,’0.95’))
#显示colorbar
cbar = plt.colorbar(gci)
cbar.set_label(‘$T_B(K)$’,fontdict=font)
cbar.set_ticks(np.linspace(160,300,8))
cbar.set_ticklabels( (‘160’, ‘180’, ‘200’, ‘220’, ‘240’, ‘260’, ‘280’, ‘300’))
#设置label
ax.set_ylabel(‘Land Surface Emissivity’,fontdict=font)
ax.set_xlabel(‘Land Surface Temperature(K)’,fontdict=font) #陆地地表温度LST
#设置title
titleStr=’$T_B$ for Freq = ‘+str(float(fp[1:-1])*0.01)+’GHz’
plt.title(titleStr)
figname=fp+’.png’
plt.savefig(figname)
plt.clf()#清除图形