Example 04 - Python
Last update: 17.07.2025Python
import clr, os, winreg
from itertools import islice
import matplotlib.pyplot as plt
import numpy as np
class PythonStandaloneApplication(object):
class LicenseException(Exception):
pass
class ConnectionException(Exception):
pass
class InitializationException(Exception):
pass
class SystemNotPresentException(Exception):
pass
def __init__(self, path=None):
# determine location of ZOSAPI_NetHelper.dll & add as reference
aKey = winreg.OpenKey(winreg.ConnectRegistry(None, winreg.HKEY_CURRENT_USER), r"Software\Zemax", 0, winreg.KEY_READ)
zemaxData = winreg.QueryValueEx(aKey, 'ZemaxRoot')
NetHelper = os.path.join(os.sep, zemaxData[0], r'ZOS-API\Libraries\ZOSAPI_NetHelper.dll')
winreg.CloseKey(aKey)
clr.AddReference(NetHelper)
import ZOSAPI_NetHelper
# Find the installed version of OpticStudio
if path is None:
isInitialized = ZOSAPI_NetHelper.ZOSAPI_Initializer.Initialize()
else:
# Note -- uncomment the following line to use a custom initialization path
isInitialized = ZOSAPI_NetHelper.ZOSAPI_Initializer.Initialize(path)
# determine the ZOS root directory
if isInitialized:
dir = ZOSAPI_NetHelper.ZOSAPI_Initializer.GetZemaxDirectory()
else:
raise PythonStandaloneApplication.InitializationException("Unable to locate Zemax OpticStudio. Try using a hard-coded path.")
# add ZOS-API referencecs
clr.AddReference(os.path.join(os.sep, dir, "ZOSAPI.dll"))
clr.AddReference(os.path.join(os.sep, dir, "ZOSAPI_Interfaces.dll"))
import ZOSAPI
# create a reference to the API namespace
self.ZOSAPI = ZOSAPI
# create a reference to the API namespace
self.ZOSAPI = ZOSAPI
# Create the initial connection class
self.TheConnection = ZOSAPI.ZOSAPI_Connection()
if self.TheConnection is None:
raise PythonStandaloneApplication.ConnectionException("Unable to initialize .NET connection to ZOSAPI")
self.TheApplication = self.TheConnection.CreateNewApplication()
if self.TheApplication is None:
raise PythonStandaloneApplication.InitializationException("Unable to acquire ZOSAPI application")
if self.TheApplication.IsValidLicenseForAPI == False:
raise PythonStandaloneApplication.LicenseException("License is not valid for ZOSAPI use")
self.TheSystem = self.TheApplication.PrimarySystem
if self.TheSystem is None:
raise PythonStandaloneApplication.SystemNotPresentException("Unable to acquire Primary system")
def __del__(self):
if self.TheApplication is not None:
self.TheApplication.CloseApplication()
self.TheApplication = None
self.TheConnection = None
def OpenFile(self, filepath, saveIfNeeded):
if self.TheSystem is None:
raise PythonStandaloneApplication.SystemNotPresentException("Unable to acquire Primary system")
self.TheSystem.LoadFile(filepath, saveIfNeeded)
def CloseFile(self, save):
if self.TheSystem is None:
raise PythonStandaloneApplication.SystemNotPresentException("Unable to acquire Primary system")
self.TheSystem.Close(save)
def SamplesDir(self):
if self.TheApplication is None:
raise PythonStandaloneApplication.InitializationException("Unable to acquire ZOSAPI application")
return self.TheApplication.SamplesDir
def ExampleConstants(self):
if self.TheApplication.LicenseStatus == self.ZOSAPI.LicenseStatusType.PremiumEdition:
return "Premium"
elif self.TheApplication.LicenseStatus == self.ZOSAPI.LicenseStatusTypeProfessionalEdition:
return "Professional"
elif self.TheApplication.LicenseStatus == self.ZOSAPI.LicenseStatusTypeStandardEdition:
return "Standard"
else:
return "Invalid"
def reshape(self, data, x, y, transpose = False):
from itertools import islice
if type(data) is not list:
data = list(data)
var_lst = [y] * x;
it = iter(data)
res = [list(islice(it, i)) for i in var_lst]
if transpose:
return self.transpose(data);
return res
def transpose(self, data):
if type(data) is not list:
data = list(data)
return list(map(list, zip(*data)))
def reshape(self, data, x, y, transpose = False):
"""Converts a System.Double[,] to a 2D list for plotting or post processing
Parameters
----------
data : System.Double[,] data directly from ZOS-API
x : x width of new 2D list [use var.GetLength(0) for dimension]
y : y width of new 2D list [use var.GetLength(1) for dimension]
transpose : transposes data; needed for some multi-dimensional line series data
Returns
-------
res : 2D list; can be directly used with Matplotlib or converted to
a numpy array using numpy.asarray(res)
"""
if type(data) is not list:
data = list(data)
var_lst = [y] * x;
it = iter(data)
res = [list(islice(it, i)) for i in var_lst]
if transpose:
return self.transpose(res);
return res
def transpose(self, data):
"""Transposes a 2D list (Python3.x or greater).
Useful for converting mutli-dimensional line series (i.e. FFT PSF)
Parameters
----------
data : Python native list (if using System.Data[,] object reshape first)
Returns
-------
res : transposed 2D list
"""
if type(data) is not list:
data = list(data)
return list(map(list, zip(*data)))
if __name__ == '__main__':
zos = PythonStandaloneApplication()
# use http://matplotlib.org/ to plot line graph
# need to install this package before running this code
# load local variables
ZOSAPI = zos.ZOSAPI
TheApplication = zos.TheApplication
TheSystem = zos.TheSystem
sampleDir = TheApplication.SamplesDir
#! [e04s01_py]
# Open file
testFile = sampleDir + '\\Sequential\\Objectives\\Cooke 40 degree field.zos'
TheSystem.LoadFile(testFile, False)
#! [e04s01_py]
#! [e04s02_py]
# Create analysis
TheAnalyses = TheSystem.Analyses
newWin = TheAnalyses.New_FftMtf()
#! [e04s02_py]
#! [e04s03_py]
# Settings
newWin_Settings = newWin.GetSettings()
newWin_Settings.MaximumFrequency = 50
newWin_Settings.SampleSize = ZOSAPI.Analysis.SampleSizes.S_256x256
#! [e04s03_py]
#! [e04s04_py]
# Run Analysis
newWin.ApplyAndWaitForCompletion()
# Get Analysis Results
newWin_Results = newWin.GetResults()
#! [e04s04_py]
#! [e04s05_py]
# Read and plot data series
# NOTE: numpy functions are used to unpack and plot the 2D tuple for Sagittal & Tangential MTF
# You will need to import the numpy module to get this part of the code to work
colors = ('b','g','r','c', 'm', 'y', 'k')
for seriesNum in range(0,newWin_Results.NumberOfDataSeries, 1):
data = newWin_Results.GetDataSeries(seriesNum)
# get raw .NET data into numpy array
xRaw = data.XData.Data
yRaw = data.YData.Data
x = list(xRaw)
y = zos.reshape(yRaw, yRaw.GetLength(0), yRaw.GetLength(1), True)
plt.plot(x,y[0],color=colors[seriesNum])
plt.plot(x,y[1],linestyle='--',color=colors[seriesNum])
#! [e04s05_py]
# If you want to use numpy, you can replace the last 4 commands in the for loop with:
# x = np.array(tuple(xRaw))
# y = np.array(np.asarray(tuple(yRaw)).reshape(data.YData.Data.GetLength(0), data.YData.Data.GetLength(1)))
#
# plt.plot(x[:],y[:,0],color=colors[seriesNum])
# plt.plot(x[:],y[:,1],linestyle='--',color=colors[seriesNum])
# format the plot
plt.title('FFT MTF: ' + os.path.basename(testFile))
plt.xlabel('Spatial Frequency in cycles per mm')
plt.ylabel('Modulus of the OTF')
plt.legend([r'$0^\circ$ tangential',r'$0^\circ$ sagittal',r'$14^\circ$ tangential',r'$14^\circ$ sagittal',r'$20^\circ$ tangential',r'$20^\circ$ sagittal'])
plt.grid(True)
# This will clean up the connection to OpticStudio.
# Note that it closes down the server instance of OpticStudio, so you for maximum performance do not do
# this until you need to.
del zos
zos = None
# place plt.show() after clean up to release OpticStudio from memory
plt.show()
Definition: ZemaxService.cs:198
