Suhas Rajendra Chandrapatle I understand your desire to visualize streaming signal data with precise timing. While CANape's calibration window is very useful, adding millisecond delays between plot updates does require external scripting.

However, this can be achieved by utilizing CANape's built-in Python integration. You can write a Python script that reads from your signal global variable array in CANape, and delays appropriately using time. sleep(), and plots each value iteratively. This allows plotting with arbitrary delays for real-time visualization.

I have used similar approaches where I pass CAN data from CANape to Python, process and visualize it in real-time there, while CANape handles the CAN network communication. This avoids external software for data acquisition. The key is leveraging CANape's API and Python integration.

I would be happy to provide some sample code snippets to get you started. Please feel free to reach out to me for further guidance on real-time scripting and visualization of CAN data using CANape's Python integration. I'm always glad to help fellow researchers make the most of these powerful tools.

Wishing you the best,

#CANape #RealTimeVisualization #AutomotiveTesting

Follow these steps:

```python

import clr

from System import TimeSpan

# Load the CANape COM library

clr.AddReference('CANape7')

# Import CANape types

from CANape import CANape

def plot_signal_with_delay(signal_name):

# Create a CANape object

app = CANape()

try:

# Connect to CANape instance

app.Connect()

# Open the calibration window

app.Calibration.Open()

# Create the measurement object for the specified signal

measurement = app.Measurement.CreateMeasurement(signal_name)

# Set the measurement mode to continuous

measurement.Mode = 1 # Continuous mode

# Set the measurement delay to 2.5 milliseconds

measurement.Delay = TimeSpan.FromMilliseconds(2.5)

# Start the measurement

measurement.Start()

# Wait for user interaction (e.g., press Ctrl+C) to stop the measurement

input("Press Enter to stop the measurement...")

# Stop the measurement

measurement.Stop()

finally:

# Disconnect from CANape instance

app.Disconnect()

# Example usage

signal_name = "MySignal"

plot_signal_with_delay(signal_name)

```

You should have CANape COM library (`CANape7.dll`) installed and available in the Python environment. You may need to adjust the DLL path in the `clr.AddReference()` line if it's located in a different directory.

Replace `"MySignal"` with the name of the signal you want to plot. The code opens the calibration window, creates a measurement object for the specified signal, sets the measurement mode to continuous, and sets the delay between each data sample to 2.5 milliseconds. The measurement is then started, and it will continue until you stop it by pressing Enter.

Hope it helps