X Workshop * - LabVIEW & Arduino & Python 整合開發工作室 -

這個範例說明如何將NI DAQ卡擷取的資料寫入檔案中 This example introduce how to write data acquired from NI DAQ card to a file. 這裡有5個步驟： There are five steps: 1. Install nidaqmx package, Python can use this package to read analog signals from NI DAQ card. 2. Use Simulated NI DAQ Device to simulate NI DAQ device. 3. Use matplotlib to plot analog signals from NI DAQ device. 4. Use File open, write and close method to save a file. 5. Use "with open() as file" to save a file. This is a recommendation for file read and write in Python. #1. 安裝nidaqmx套件，使用Pythone讀取NI DAQ類比訊號。 #2. 使用Simulated NI DAQ Device模擬DAQ卡類比訊號。 #3. 使用matplotlib作互動模式顯示DAQ卡的類比資料。 #4. 使用file open, write, close寫入檔案。 #5. 使用with open() as file寫入檔案，自動呼叫close，(建議使用)。 import  nidaqmx import  matplotlib.pyplot  as  plt plt.ion()  i =  0 #file = open('daq_data.txt','a')  #用於追加資料 with   open ( 'daq_data.txt' , 'a' )  as   file :       with  nidaqmx.Task()  as  task:         task.a

This example provides the following three steps for training: 1. Install nidaqmx package, Python can use this package to read analog signals from NI DAQ card. 2. Use Simulated NI DAQ Device to simulate NI DAQ device. 3. Use matplotlib to plot analog signals from NI DAQ device. 這個範例提供以下三個步驟供練習: #1. 安裝nidaqmx套件，使用Pythone讀取NI DAQ類比訊號 #2. 使用Simulated NI DAQ Device模擬DAQ卡類比訊號 #3. 使用matplotlib作互動模式顯示DAQ卡的類比資料 import  nidaqmx import  matplotlib.pyplot  as  plt plt.ion()  i =  0 with  nidaqmx.Task()  as  task:     task.ai_channels.add_ai_voltage_chan( "Dev1/ai0:1" )      while  i <  100 :         aiData = task.read()         plt.scatter(i,aiData[ 0 ], c = "r" )         plt.scatter(i,aiData[ 1 ], c = "b" )         plt.pause( 0.05 )         i=i+ 1          print (aiData) plt.ioff() plt.show()  We will share more tutorial videos with people who want to learn LabVIEW and Python welcome to subscribe this channel. 未來會陸

This example demonstrates how to build an actor framework project, create actor and message class, and launch actor to call message method. 這的範例展示了如何建立操作者框架專案，建立操作者與訊息類別，以及啟動操作者去呼叫訊息的方法。 The launch.vi uses old approach of Lauch Actor.vi before LabVIEW 2014. The new approach will use Launch Root Actor.vi. 在launch.vi中使用的是LabVIEW 2014年前所使用的Launch Actor.vi. 新的方法為使用Launch Root Actor.vi。 If you want use Launch Root Actor.vi in LabVIEW 2012, you can try the method in the following website:  AF Experiment - Launch Root Actor and Launch Nested Actor 如果想在LabVIEW 2012使用Launch Root Actor.vi ，可以試試下列連結的方法:  AF Experiment - Launch Root Actor and Launch Nested Actor We will share more tutorial videos with people who want to learn LabVIEW and Python welcome to subscribe this channel. 未來會陸續更新影片，讓想學習LabVIEW和Python的朋友可以看影片學習，歡迎訂閱此頻道。 其他網址/related websites: https://labview-tech.blogspot.com/ https://fishark.pixnet.net/blog email: jacklee3633 @gmail.com Line: lvnet