Add minimal example analysis script

labscript_profile/default_profile/userlib/analysislib/example_apparatus/example_analysis_script.py

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+import lyse
+from pathlib import Path
+import matplotlib.pyplot as plt
+import numpy as np
+import h5py
+
+# Is this script being run from within an interactive lyse session?
+if lyse.spinning_top:
+    # If so, use the filepath of the current shot
+    h5_path = lyse.path
+else:
+    # If not, get the filepath of the last shot of the lyse DataFrame
+    df = lyse.data()
+    h5_path = df.filepath.iloc[-1]
+
+# Instantiate a lyse.Run object for this shot
+run = lyse.Run(h5_path)
+
+# Get a dictionary of the global variables used in this shot
+run_globals = run.get_globals()
+
+# Open experiment file to pull variables from
+with h5py.File(h5_path, 'r') as h:
+
+    devices = h['devices']
+
+    outputs = devices['intermediate_device']['OUTPUTS']
+    pulse = devices['pseudoclock']['PULSE_PROGRAM'] # unused
+
+    analog_data = outputs[:]['analog_out']
+    digital_data = outputs[:]['digital_out']
+
+plt.figure()    
+plt.plot(np.array(analog_data), 'b.', label='analog_out')
+plt.plot(np.array(digital_data), 'r.', label='digital_out')
+plt.xlabel('time (ms)')
+plt.ylabel('intermediate device output')
+
+# # Label the plot with a unique string representing the shot
+plt.title(Path(run.h5_path).name)
+
+# Plot adornments
+plt.legend(loc='lower left')
+plt.grid()
+
+# Show the plot
+plt.show()
+
+# Compute a result based on the image processing and save it to the 'results' group of
+# the shot file
+result = {}
+result['analog_data'] = analog_data
+result['digital_data'] = digital_data
+run.save_result('foobar', result)