GEE python: Use chart in geemap for chart loading (feature_byFeature) and Matplotlib for chart creation

Let's first look at a simple example of using Matplotlib in python for chart creation:
Matplotlib is one of the libraries widely used in Python for data visualization. It provides tools to generate various charts and visualizations. Following are the basic steps to create a chart with Matplotlib:

1. Import the Matplotlib library, usually through the following statement:

import matplotlib.pyplot as plt

2. Prepare the data, usually using the NumPy library to generate or import existing data.

3. Create the chart, which can be done with the following statement:

plt.figure()

4. Add data on the chart and set chart properties such as labels and titles.

plt.plot(x_data, y_data, label='Plot Label')
plt.xlabel('X Label')
plt.ylabel('Y Label')
plt.title('Plot Title')

5. Draw the graph and display it.

plt.show()

Here is a simple example that plots the sine function:

import numpy as np
import matplotlib.pyplot as plt

# 生成数据
x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)

# 创建图表
plt.figure()

# 添加数据和设置属性
plt.plot(x, y, label='Sine Function')
plt.xlabel('X Values')
plt.ylabel('Y Values')
plt.title('Sine Function&