连接是德科技N9020A，设置并读取数据到电脑，但超时

Question

连接是德科技N9020A，设置并读取数据到电脑

import time

import pyvisa
import os
import matplotlib.pyplot as stimulusResponsePlot
import numpy as npStimulusArray



debug = True
print("Debug flag set to " + str(debug))

# numpoints = input("numpoints:")
#
# CentFreq = input("CenterFrequency:")
# # centerprequency = 10e9
#
# SpanFreq = input("spanFrequency:")
# # spanfrequency = 10e6
#
# Avg = 'Average'

gpib_addr = 'TCPIP0::A-N9020A-10349.local::inst0::INSTR'       #PC安装NI MAX后可以查看GPIB地址，此工具也可以直接与GPIB通信
rm = pyvisa.ResourceManager()        #获取visa资源，将python的visa和系统visa关联起来
gpib_inst = rm.open_resource(gpib_addr)  #打开GPIB地址连接

gpib_inst.write("*RST")
gpib_inst.timeout = 25000      #延时

gpib_inst.write('*CLS')

gpib_inst.read_termination = '\n'

gpib_inst.write_termination = '\n'

print(gpib_inst.query('*IDN?'))        #查询仪器型号
# Define Error Check Function 定义错误检查函数
def Errcheck():

    myError = []

    ErrorList = gpib_inst.query("SYST:ERR?").split(',')

    Error = ErrorList[0]

    if int(Error) == 0:

        print("+0, No Error!")

    else:

     while int(Error)!=0:

        print ("Error #: " + ErrorList[0])

        print ("Error Description: " + ErrorList[1])

        myError.append(ErrorList[0])

        myError.append(ErrorList[1])

        ErrorList = gpib_inst.query("SYST:ERR?").split(',')

        Error = ErrorList[0]

        myError = list(myError)

    return myError
# 调用并打印出错误检查结果

print (Errcheck())

# 预设仪器 并等待操作通过 *OPC？ 完成，即

# 操作完成查询。


gpib_inst.write("SYST:PRES;*OPC?")

print ("预设成功, *OPC? returned : " + gpib_inst.read())

# 将模式设置为频谱分析仪，然后通过 *OPC？ 等待操作完成，即

# the operation complete query.

gpib_inst.write("INST:SEL 'SA';*OPC?")
gpib_inst.read()

# gpib_inst.write("FREQ:ANN CSPan")

# gpib_inst.write("SENS:FREQ:CEN " + str(CentFreq))     #发送中心频率设置命令，注意将字符参数转换成字符串格式
gpib_inst.write('FREQ:CENT 10e9')     #发送中心频率设置命令，注意将字符参数转换成字符串格式

# gpib_inst.write("FREQ:SPAN " + str(SpanFreq))
gpib_inst.write('FREQ:SPAN 10e6')  #带宽

gpib_inst.write('SWE:POIN 101')   #设置点的个数
# gpib_inst.write('SWE:POIN ' + str(numpoints))   #设置点的个数

gpib_inst.write("TRAC1:TYPE Average")
# gpib_inst.write("TRAC1:TYPE " + Avg)

gpib_inst.write("INIT:CONT ON")

# gpib_inst.write('CALC:MARK1:FUNC OFF') #使指定的标记成为 SA 标记函数之一。还会导致指定的标记打开（如果尚未打开）。
# gpib_inst.write('CALC:MARK1:FCO 1')  #中心频率点打开（就是marker1
# gpib_inst.write('CALC:MARK:FCO:PREC FIN')  #中心频率点打开（就是marker1


# D:User_My_Document/Instrument/My Documents/SA/data/New Folder
# gpib_inst.write('MMEM:MDIR "folder111"')   #D:User_My_Document/Instrument/My Documents下创建一个新文件夹，不可是已有的
# gpib_inst.write('MMEMory:RDIR "folder111"')   #删除文件夹
#
# gpib_inst.write('DISP:WIND:TRAC:Y:DLIN -50')   #在屏幕上显示一条y=-50的线
# gpib_inst.write('DISP:WIND:TRAC1:Y:BOTT -80')   #在屏幕上显示一条y=-50的线
#
# gpib_inst.write('DISP:WIND:TRAC1:Y:RPOS -50')
# gpib_inst.write('DISP:WIND:TRAC1:Y:PDIV -.25')   #不知道实在弄啥
# gpib_inst.write('DISP:WIND:TRAC1:Y:RLEV -50')


# gpib_inst.write('DISP:WIND:TRAC1:Y:TOP 0')    #头又未定义？



# gpib_inst.write("CALC:MARK2:FUNC OFF")     #为什么还报错了
# gpib_inst.write("CALC:MARK:FCO:X?")     #为什么还报错了
# gpib_inst.write("CALC:MARK2:ACTivate")
# gpib_inst.write("CALC:MARK:AOFF")

# gpib_inst.write("QUAN:TACT?")
# gpib_inst.read()

# gpib_inst.write("RECP:SESS:CSST SING")
# gpib_inst.write("MMEM:STOR:CONV 'MyDUT',INT")
# gpib_inst.write("MMEM:LOAD:CONV 'MyCONV_File',INT")

#######想要保存
# gpib_inst.write('AMPL:UNIT dBm')
print("尝试读取")
gpib_inst.write('FORM REAL,32')
data = gpib_inst.read('TRAC1:DATA?')    # #为什么read就超时。。。
time.sleep(1)
print(data)
gpib_inst.write('MMEM:DATA "MyFile",<data>')

# gpib_inst.write('MMEM:STOR:FDAT "11111MyFile.csv"')


# 将应用程序末尾损坏的 SCPI 命令作为调试测试发送
if debug:
    gpib_inst.write("INIT:CONT OOOOOOOOOO")

# 调用 ErrCheck 函数并确保程序启动之间没有发生错误

# （第一次 Errcheck（） 调用和程序结束（最后一次 Errcheck（） 调用。

print(Errcheck())

运行结果及报错内容

我想要达到的结果

成功读取trace上点的数据并保存到电脑上

Answer 1

TRACE:DATA?
这一个指令为什么会超时啊，官方给的Python 示例也用到了这个，但是我还是超时