下面是Python中创建的正弦波信号：

# Import libraries
import numpy as np
import matplotlib.pyplot as plt

Fs  = 1000                                              # Sampling frequency (Hz)
T   = 10                                                # Duration of time signal (s)
N   = T*Fs                                              # Number of data points
f   = 10                                                # Frequency of the sine wave signal (Hz)
t   = np.linspace(0, T, N)                              # Time axis data points
y   = 10 * np.sin(2*np.pi*f*t)                          # Amplitude of the sine wave signal

plt.figure(figsize=(8,8))                               # Figure size of the plot
plt.plot(t,y)                                           # time history plot of the sine wave
plt.xlabel('Time (s)')                                  # X-axis label
plt.ylabel('Amplitude')                                 # Y-axis label
##plt.xlim([0,2.5])                                     # X-axis limits
##plt.ylim([-8,18])                                     # Y-axis limits
plt.get_current_fig_manager().window.state('zoomed')    # Maximize the plot for full screen
plt.show()                                              # Show the plot

字符串
有人能帮我理解以下几点吗：
1.从10秒正弦波信号Python中可以提取出哪些“频域特征”？
1.在Python中可以从10 s正弦波信号中提取的各种“时频域特征”有哪些？
1.如何在Python中计算10秒正弦波信号的小波包能量和小波包熵？