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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Analyse deGroot
The notebook can be used to analyse the output of the deGroot model.
Step1:  The evolution of the model
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Python Code:
de_groot_data = pd.read_csv('measurements/Measurement_degroot_new.csv', index_col=0)
Explanation: Analyse deGroot
The notebook can be used to analyse the output of the deGroot model.
End of explanation
de_groot_data.head(3)
fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(10,6))
ax.plot(de_groot_data.index, de_groot_data['opinion_agent_one'], label='agent-one')
ax.plot(de_groot_data.index, de_groot_data['opinion_agent_two'], label='agent-two') 
ax.plot(de_groot_data.index, de_groot_data['opinion_agent_three'], label='agent-three')
ax.legend(loc='best', fontsize='14')
ax.set_ylabel('Opinions', fontsize='14')
ax.set_xlabel('Time', fontsize='14')
fig.savefig('deGrootOpinions.png')
Explanation: The evolution of the model
End of explanation
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