From this question, you will see that the first principal componet represent the average yield rates of all maturities.

(1 point) Create a variable mean for the row means of df.

(1 point) Create a figure that includes two line graphs for pc1 and mean over date.

(1 point) Print out the correlation coefficient between pc1 and mean to five decimal places.

(2 point) Describe the meaning of PC1. On the last line of your code, write your response as a commented test as follows.

Your code here # Your interpretation here

The graph for Part 2 must be as follows:

Hint: Replace the ????? part with your solution.

mean = df.?????(axis=?????) fig = plt.figure(figsize=(15, 10)) plt.plot(?????, ?????, label='?????') plt.plot(?????, ?????, label='?????') plt.legend(loc="upper right") plt.grid() plt.show() print('Correlation between pc1 and mean is',np.round(?????,?????))