Follow the steps to graph the yield curves for rows 02/09/06, 02/11/10, 02/10/14, and 02/06/18.

(1 point) Import the matplotlib.pyplot package and name the package as plt.

(1 point) Define the list interval as [1/12, 3/12, 6/12, 1, 2, 3, 5, 7, 10, 20, 30]. These numbers are used to locate the maturities in the plot.

(1 point) Define the list curves as ['02/09/06', '02/11/10', '02/10/14', '02/06/18']. These strings are used to label the x-axis values and create a legend.

(3 points) Create the yield curves by filling out the following codes:

fig = plt.figure(figsize=(10, 6)) for i in curves: plt.plot(________, ________, label=______) plt.xticks(________, ________, rotation=45) plt.xlabel("Maturity") plt.ylabel("Yield Rates (%)") plt.legend(loc="lower right") plt.grid() plt.show()

where

the first blank of plt.plot is the variable for the horizontal axis,

the second blank of plt.plot is the variable for the vertical axis,

the third blank of plt.plot is the variable for the labels of the curves,

the first blank of plt.xticks is the variable for the actual location in the x-axis, and

the second blank of plt.xticks is the variable for labels on the x-axis.

The resulting plot must be as follows:

Preliminaries: Indexing for a Dataframe

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

import ????? as ????? interval = ????? curves = ????? fig = plt.figure(figsize=(10, 6)) for i in curves: plt.plot(?????, ?????, label=?????) plt.xticks(?????, ?????, rotation=45) plt.xlabel("Maturity") plt.ylabel("Yield Rates (%)") plt.legend(loc="lower right") plt.grid() plt.show()

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