view_VIABLITY_measurements.py
d2b929a2a28cmaster

view_VIABLITY_measurements.py
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			import matplotlib.pyplot as plt
			import numpy as np
			from Z_HELPERS.DM_communication import get_docs_VM

			if __name__ == '__main__':
			# This set of measurements still need to be analyzed
			query = {"meas_num": "1"}
			docs = get_docs_VM(db_name='Optical_Trapping_ML_DB', coll_name='tseries_viability_meas', query=query)

			for doc in docs:
			for k, v in doc.items():
			# We do not show the data completely but rather the keys
			if k != 'data':
			print('Key: {} - Value: {}'.format(k, v))
			else:
			print('Data keys: ', v.keys())
			transmission = np.array(doc.get('data')['transmission'])
			time = doc.get('data')['time']

			# We plot the raw data in Fig.1, which contains only the trapping signal without the rest of the trace
			fig, ax = plt.subplots(figsize=(7, 5.8))
			ax.plot(time, transmission, 'k')
			ax.set_xlabel('Time (sec)', size=20)
			ax.set_ylabel('Transmission (V)', size=20)
			ax.yaxis.set_ticks_position('both')
			ax.xaxis.set_ticks_position('both')
			ax.tick_params(axis='both', which='both', direction='in', labelsize=20)
			ax.set_title('Raw data', size=20)
			fig.tight_layout()
			plt.show()