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PyRadar.py
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PyRadar.py
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import numpy as np
import matplotlib.pyplot as plt
from mayavi import mlab
from scipy.interpolate import griddata
import time
import vtk
class Radar:
def __init__(self, path, name):
self.AbsolutePath = path + name
file = open(self.AbsolutePath, 'rb')
file.seek(0)
self.RawData = np.array([int(i) for i in file.read()])
self.Name = name[:-4]
self.Count = int(len(self.RawData) / 2432)
self.RawArray = self.RawData.reshape(self.Count, 2432)
self.NumberOfElevation = [self.RawArray[i][44] + self.RawArray[i][45] * 256 for i in range(0, self.Count)] # 层数
self.StartOfReflectivity = [self.RawArray[i][46] + self.RawArray[i][47] * 256 for i in range(0, self.Count)] # 起始距离
self.StartOfSpeed = [self.RawArray[i][48] + self.RawArray[i][49] * 256 for i in range(0, self.Count)]
self.StepOfReflectivity = [self.RawArray[i][50] + self.RawArray[i][51] * 256 for i in range(0, self.Count)] # 库长
self.StepOfSpeed = [self.RawArray[i][52] + self.RawArray[i][53] * 256 for i in range(0, self.Count)]
self.NumberOfReflectivity = [self.RawArray[i][54] + self.RawArray[i][55] * 256 for i in range(0, self.Count)] # 库数
self.NumberOfSpeed = [self.RawArray[i][56] + self.RawArray[i][57] * 256 for i in range(0, self.Count)]
self.PointerOfReflectivity = [self.RawArray[i][64] + self.RawArray[i][65] * 256 for i in range(0, self.Count)] # 数据位置指针
self.PointerOfSpeed = [self.RawArray[i][66] + self.RawArray[i][67] * 256 for i in range(0, self.Count)]
self.PointerOfSpectralWidth = [self.RawArray[i][66] + self.RawArray[i][67] * 256 for i in range(0, self.Count)]
self.ResolutionOfSpeed = [self.RawArray[i][70] + self.RawArray[i][71] * 256 for i in range(0, self.Count)] # 速度分辨率
self.vcp = [self.RawArray[i][72] + self.RawArray[i][73] * 256 for i in range(0, self.Count)] # 11:降水，16；21：降水，14；31：晴空，8；32：晴空，7.
self.Elevation = [(self.RawArray[i][42] + 256 * self.RawArray[i][43]) / 8 * 180 / 4096 for i in range(0, self.Count)] # 仰角
self.Azimuth = [(self.RawArray[i][36] + 256 * self.RawArray[i][37]) / 8 * 180 / 4096 for i in range(0, self.Count)] # 方位角
self.Storage = self.getStorage()
self.AllInfo = self.getAllInfo()
self.x, self.y, self.z, self.r = self.getXyzr()
self.AllInfo = self.getAllInfo()
self.space_info = self.get_space_info()
self.elevation_list = self.get_elevation_list()
self.grid_data = self.grid()
def getStorage(self):
Storage = [[
[0, 0, [], []], #反射率，距离
[0, 0, [], []], #速度，距离
[0, 0, [], []] #谱宽，距离
] for i in range(0, self.Count)]
for i in range(0, self.Count):
Storage[i][0][0] = self.Elevation[i]
Storage[i][1][0] = self.Elevation[i]
Storage[i][2][0] = self.Elevation[i]
Storage[i][0][1] = self.Azimuth[i]
Storage[i][1][1] = self.Azimuth[i]
Storage[i][2][1] = self.Azimuth[i]
for j in range(0, self.NumberOfReflectivity[i]):
if self.RawArray[i][self.PointerOfReflectivity[i] + j] != 0 and self.RawArray[i][self.PointerOfReflectivity[i] + j] != 1 and (self.RawArray[i][self.PointerOfReflectivity[i] + j] - 2) / 2 - 32 >= 0:
Storage[i][0][2].append((self.RawArray[i][self.PointerOfReflectivity[i] + j] - 2) / 2 - 32)
else:
Storage[i][0][2].append(0)
Storage[i][0][3].append(self.StartOfReflectivity[i] + j * self.StepOfReflectivity[i])
for j in range(0, self.NumberOfSpeed[i]):
if self.ResolutionOfSpeed[i] == 2:
if self.RawArray[i][self.PointerOfSpeed[i] + j] != 0 and self.RawArray[i][self.PointerOfSpeed[i] + j]:
Storage[i][1][2].append((self.RawArray[i][self.PointerOfSpeed[i] + j] - 2) / 2 - 63.5)
else:
Storage[i][1][2].append(0)
if self.ResolutionOfSpeed[i] == 4:
if self.RawArray[i][self.PointerOfSpeed[i] + j] != 0 and self.RawArray[i][self.PointerOfSpeed[i] + j]:
Storage[i][1][2].append(self.RawArray[i][self.PointerOfSpeed[i] + j] - 2 - 127)
else:
Storage[i][1][2].append(0)
Storage[i][1][3].append(self.StartOfSpeed[i] + j * self.StepOfSpeed[i])
for j in range(0, self.NumberOfSpeed[i]):
if self.RawArray[i][self.PointerOfSpectralWidth[i] + j] != 0 and self.RawArray[i][self.PointerOfSpectralWidth[i] + j] != 1:
Storage[i][2][2].append((self.RawArray[i][self.PointerOfSpectralWidth[i] + j] - 2) / 2 - 63.5)
else:
Storage[i][2][2].append(0)
Storage[i][2][3].append(self.StartOfSpeed[i] + j * self.StepOfSpeed[i])
return Storage
def get_space_info(self):
AllInfo_ = [[], [], [], []] # 仰角 方位角 距离 反射率
for i in self.Storage:
for j in range(0, int(len(i[0][2]))):
if 1: # 剔除反射率零点，以[0,0,0,0]代替以不影响矩阵形状 i[0][2][j] > 0
AllInfo_[0].append(i[0][0]) # 仰角
AllInfo_[1].append(i[0][1]) # 方位角
AllInfo_[3].append(i[0][2][j]) # 反射率因子
AllInfo_[2].append(i[0][3][j]) # 距离
AllInfo_[0].append(0)
AllInfo_[1].append(0)
AllInfo_[2].append(0)
AllInfo_[3].append(75)
while (len(AllInfo_[0])) % 460 != 0: # 标准化为460倍数（补[0，0，0，0]法）
AllInfo_[0].append(0)
AllInfo_[1].append(0)
AllInfo_[2].append(0)
AllInfo_[3].append(0)
return AllInfo_
def getAllInfo(self):
AllInfo_ = [[], [], [], []] # 仰角 方位角 距离 反射率
for i in self.Storage:
#if i[0][0] <= 1 and i[0][0] >= 0: # 设定仰角范围
if 1:
for j in range(0, int(len(i[0][2]))):
if 1: # 剔除反射率零点，以[0,0,0,0]代替以不影响矩阵形状 i[0][2][j] > 0
AllInfo_[0].append(i[0][0]) # 仰角
AllInfo_[1].append(i[0][1]) # 方位角
AllInfo_[3].append(i[0][2][j]) # 反射率因子
AllInfo_[2].append(i[0][3][j]) # 距离
AllInfo_[0].append(0)
AllInfo_[1].append(0)
AllInfo_[2].append(0)
AllInfo_[3].append(75)
while (len(AllInfo_[0]))%460 != 0: # 标准化为460倍数（补[0，0，0，0]法）
AllInfo_[0].append(0)
AllInfo_[1].append(0)
AllInfo_[2].append(0)
AllInfo_[3].append(0)
return AllInfo_
def getXyzr(self):
Info_1 = np.array(self.AllInfo)
x = Info_1[2] * np.cos(np.deg2rad(Info_1[0])) * np.cos(np.deg2rad(Info_1[1]))
y = Info_1[2] * np.cos(np.deg2rad(Info_1[0])) * np.sin(np.deg2rad(Info_1[1]))
z = Info_1[2] * np.sin(np.deg2rad(Info_1[0]))
r = Info_1[3]
return x, y, z, r
def draw(self):
x, y, z, r = self.x, self.y, self.z, self.r
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(self.Name)
plt.contourf(x.reshape(int(len(x)/460), 460), y.reshape(int(len(y)/460), 460), r.reshape(int(len(z)/460), 460), cmap = 'jet') # contourf jet gray
plt.colorbar()
#plt.savefig('C:/data/gui/temp/' + self.Name, dpi = 300)
#plt.close()
plt.show()
def grey(self):
x, y, z, r = self.x, self.y, self.z, self.r
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(self.Name)
plt.contourf(x.reshape(int(len(x)/460), 460), y.reshape(int(len(y)/460), 460), r.reshape(int(len(z)/460), 460), cmap = 'gist_gray') # contourf jet gray
plt.colorbar()
#plt.savefig('C:/data/img/Z9592' + self.Name, dpi = 300)
#plt.close()
plt.show()
def get_elevation_list(self):
if self.vcp[0] == 11:
return [0.5, 1.45, 2.4, 3.35, 4.3, 5.2, 6.2, 7.5, 8.7, 10.0, 12.0, 14.0, 16.7, 19.5]
if self.vcp[0] == 12:
return [0.5, 0.9, 1.3, 1.8, 2.4, 3.1, 4.0, 5.1, 6.4, 8.0, 10.0, 12.5, 15.6, 19.5]
if self.vcp[0] == 21:
return [0.5, 1.45, 2.4, 3.35, 4.3, 6.0, 9.9, 14.6, 19.5]
if self.vcp[0] == 31:
return [0.5, 1.5, 2.5, 3.5, 3.5]
#按仰角绘制PPI
def ppi(self, elevation):
AllInfo = [[], [], [], []] # 仰角 方位角 距离 反射率
for i in self.Storage:
if elevation-0.5 <= i[0][0] <= elevation+0.5: # 设定仰角范围
for j in range(0, int(len(i[0][2]))):
if 1: # 剔除反射率零点，以[0,0,0,0]代替以不影响矩阵形状 i[0][2][j] > 0
AllInfo[0].append(i[0][0]) # 仰角
#print(i[0][0])
AllInfo[1].append(i[0][1]) # 方位角
AllInfo[3].append(i[0][2][j]) # 反射率因子
AllInfo[2].append(i[0][3][j]) # 距离
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(0)
AllInfo[3].append(75)
while (len(AllInfo[0]))%460 != 0: # 标准化为460倍数（补[0，0，0，0]法）
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(0)
AllInfo[3].append(0)
Info_1 = np.array(AllInfo)
x = Info_1[2] * np.cos(np.deg2rad(Info_1[0])) * np.cos(np.deg2rad(Info_1[1]))
y = Info_1[2] * np.cos(np.deg2rad(Info_1[0])) * np.sin(np.deg2rad(Info_1[1]))
z = Info_1[2] * np.sin(np.deg2rad(Info_1[0]))
r = Info_1[3]
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(self.Name)
plt.tricontourf(x, y, r, cmap = 'jet') # contourf jet gray
plt.colorbar()
#plt.savefig('C:/data/gui/temp/ppi_ref/' + self.Name + '_ppi_' + str(elevation) + '.png', dpi = 300)
#plt.close()
plt.show()
def rhi(self, azimuth):
AllInfo = [[], [], [], []] # 仰角 方位角 距离 反射率
for i in self.Storage:
if azimuth-0.5 <= i[0][1] <= azimuth+0.5: # 设定仰角范围
for j in range(0, int(len(i[0][2]))):
if 1: # 剔除反射率零点，以[0,0,0,0]代替以不影响矩阵形状 i[0][2][j] > 0
AllInfo[0].append(i[0][0]) # 仰角
#print(i[0][0])
AllInfo[1].append(i[0][1]) # 方位角
AllInfo[3].append(i[0][2][j]) # 反射率因子
AllInfo[2].append(i[0][3][j]) # 距离
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(0)
AllInfo[3].append(75)
while (len(AllInfo[0]))%460 != 0: # 标准化为460倍数（补[0，0，0，0]法）
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(0)
AllInfo[3].append(0)
Info_1 = np.array(AllInfo)
y = Info_1[2] * np.cos(np.deg2rad(Info_1[0]))
z = Info_1[2] * np.sin(np.deg2rad(Info_1[0]))
r = Info_1[3]
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(self.Name)
plt.tricontourf(y, z, r, cmap = 'jet') # contourf jet gray
plt.colorbar()
#plt.savefig('C:/data/gui/temp/rhi_ref/' + self.Name + '_rhi_' + str(azimuth) + '.png', dpi = 300)
#plt.close()
plt.show()
def points(self):
x=[]
y=[]
z=[]
r=[]
for i in range(len(self.r)):
if 70 > self.r[i] > 0:
x.append(np.sqrt(self.x[i]))
y.append(np.sqrt(self.y[i]))
z.append(np.sqrt(self.z[i]))
r.append(self.r[i])
points = mlab.points3d(x, y, z, r, colormap = 'jet', scale_factor=.25)
mlab.show()
def grid(self):
GRID_RESOLUTION = 500 # 网格分辨率，可修改
x, y, z, r = self.x, self.y, self.z, self.r
grid_x, grid_y, grid_z = np.mgrid[min(x):max(x):GRID_RESOLUTION*1j, min(y):max(y):GRID_RESOLUTION*1j, min(z):max(z):GRID_RESOLUTION*1j] # 构建三维网格，方形，体绘制适用
x = x[np.newaxis,:]
y = y[np.newaxis,:]
z = z[np.newaxis,:]
points = np.concatenate((x,y,z),axis=0).T
grid_r = griddata(points, r, (grid_x, grid_y, grid_z), method = 'nearest') # 返回结果，三维数组
np.savez(self.Name + '.npz', grid_array=grid_r) # 保存为numpy数组
print('Data has been saved in user\'s home directory.')
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime()))
return grid_r
def cappi(self, height):
grid_r = self.grid_data
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(self.Name + '_' + str(height) + 'km')
plt.imshow(grid_r[:,:,int(height / 20 * 500)], cmap = 'jet') # contourf jet gray，网格点数500
plt.colorbar()
plt.show()
def surface(self):
grid_r = self.grid_data
point = mlab.contour3d(grid_r, colormap = 'jet', contours=10, transparent =True ) # 三维等值面图
mlab.show()
def render(self):
WIDTH = 500
HEIGHT = 500
ALTITUDE = 500
grid = self.grid_data
grid_r = np.zeros([WIDTH, HEIGHT, ALTITUDE], dtype=np.uint8)
grid = np.rint(grid / 10) # 四舍五入取整
for i in range(WIDTH):
for j in range(HEIGHT):
for k in range(ALTITUDE):
grid_r[i,j,k] = grid[i,j,k]
dataImporter = vtk.vtkImageImport()
data_string = grid_r.tostring()
dataImporter.CopyImportVoidPointer(data_string, len(data_string))
dataImporter.SetDataScalarTypeToUnsignedChar()
dataImporter.SetNumberOfScalarComponents(1)
dataImporter.SetDataExtent(0, WIDTH-1, 0, HEIGHT-1, 0, ALTITUDE-1)
dataImporter.SetWholeExtent(0, WIDTH-1, 0, HEIGHT-1, 0, ALTITUDE-1)
alphaChannelFunc = vtk.vtkPiecewiseFunction() # 不透明度，值越大越不透明
alphaChannelFunc.AddPoint(0, 0.00)
alphaChannelFunc.AddPoint(1, 0.02)
alphaChannelFunc.AddPoint(2, 0.02)
alphaChannelFunc.AddPoint(3, 0.1)
alphaChannelFunc.AddPoint(4, 0.1)
alphaChannelFunc.AddPoint(5, 0.6)
alphaChannelFunc.AddPoint(6, 0.6)
colorFunc = vtk.vtkColorTransferFunction() # 设定颜色，RGB转浮点数
colorFunc.AddRGBPoint(6, 1.0, 0.0, 0.0)
colorFunc.AddRGBPoint(5, 1.0, 0.4, 0.0) #255，100，0 橙色
colorFunc.AddRGBPoint(4, 1.0, 1.0, 0.0) # 255，255，0 黄色
colorFunc.AddRGBPoint(3, 0.4, 1.0, 0.0) # 100，255，0
colorFunc.AddRGBPoint(2, 0.0, 1.0, 0.0) # 0，255，0
colorFunc.AddRGBPoint(1, 0.0, 0.4, 1.0) # 0，100，255
colorFunc.AddRGBPoint(0, 0.0, 0.0, 0.0)
volumeProperty = vtk.vtkVolumeProperty()
volumeProperty.SetColor(colorFunc)
volumeProperty.SetScalarOpacity(alphaChannelFunc)
compositeFunction = vtk.vtkVolumeRayCastCompositeFunction()
volumeMapper = vtk.vtkVolumeRayCastMapper()
volumeMapper.SetVolumeRayCastFunction(compositeFunction)
volumeMapper.SetInputConnection(dataImporter.GetOutputPort())
volume = vtk.vtkVolume()
volume.SetMapper(volumeMapper)
volume.SetProperty(volumeProperty)
renderer = vtk.vtkRenderer()
renderWin = vtk.vtkRenderWindow()
renderWin.AddRenderer(renderer)
renderInteractor = vtk.vtkRenderWindowInteractor()
renderInteractor.SetRenderWindow(renderWin)
renderer.AddVolume(volume)
renderer.SetBackground(0, 0, 0)
renderWin.SetSize(600, 600)
def exitCheck(obj, event):
if obj.GetEventPending() != 0:
obj.SetAbortRender(1)
renderWin.AddObserver("AbortCheckEvent", exitCheck)
#volumeProperty.ShadeOn() # 是否显示阴影，不显示效果更佳
renderInteractor.Initialize()
renderWin.Render()
renderInteractor.Start()
# 0.5° 仰角PPI速绘
def ppi(absolute_path):
Name = absolute_path[-46:-4]
file = open(absolute_path, 'rb')
file.seek(0)
RawData = np.array([int(i) for i in file.read()])
Count = int(len(RawData) / 2432)
RawArray = RawData.reshape(Count, 2432)
Elevation = [(RawArray[i][42] + 256 * RawArray[i][43]) / 8 * 180 / 4096 for i in range(0, Count)] # 仰角
Azimuth = [(RawArray[i][36] + 256 * RawArray[i][37]) / 8 * 180 / 4096 for i in range(0, Count)] # 方位角
PointerOfReflectivity = [RawArray[i][64] + RawArray[i][65] * 256 for i in range(0, Count)] # 数据位置指针
StartOfReflectivity = [RawArray[i][46] + RawArray[i][47] * 256 for i in range(0, Count)] # 起始距离
StepOfReflectivity = [RawArray[i][50] + RawArray[i][51] * 256 for i in range(0, Count)] # 库长
AllInfo = [[], [], [], []] # 仰角 方位角 反射率 距离
NumberOfReflectivity = []
for i in range(Count):
if 0 < Elevation[i] < 1:
NumberOfReflectivity = int(RawArray[i][54] + RawArray[i][55] * 256)
for j in range(NumberOfReflectivity):
AllInfo[0].append(Elevation[i])
AllInfo[1].append(Azimuth[i])
reflectivity = (RawArray[i][PointerOfReflectivity[i] + j] - 2) / 2 - 32
if reflectivity != 0 and reflectivity != 1 and reflectivity >= 0:
AllInfo[2].append(reflectivity)
else:
AllInfo[2].append(0)
AllInfo[3].append(StartOfReflectivity[i] + j * StepOfReflectivity[i])
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(75)
AllInfo[3].append(0)
while (len(AllInfo[0]))%460 != 0: # 标准化为460倍数（补[0，0，0，0]法）
AllInfo[0].append(0)
AllInfo[1].append(0)
AllInfo[2].append(0)
AllInfo[3].append(0)
Info_1 = np.array(AllInfo)
x = Info_1[3] * np.cos(np.deg2rad(Info_1[0])) * np.cos(np.deg2rad(Info_1[1]))
y = Info_1[3] * np.cos(np.deg2rad(Info_1[0])) * np.sin(np.deg2rad(Info_1[1]))
r = Info_1[2]
plt.style.use('dark_background')
plt.subplot(1, 1, 1)
plt.title(Name)
plt.contourf(x.reshape(int(len(x)/460), 460), y.reshape(int(len(y)/460), 460), r.reshape(int(len(r)/460), 460), cmap = 'jet') # contourf jet gray
plt.colorbar()
#plt.show()
#plt.savefig('C:/data/gui/temp/animation/' + Name, dpi = 300)
#plt.close()
plt.show()