python matplotlib example

Here is an example of how to use matplotlib in Python to plot a simple line graph:

import matplotlib.pyplot as plt

# Create some sample data
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# Create the plot
plt.plot(x, y)

# Add labels and title
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Sample Line Graph')

# Show the plot
plt.show()

This code will produce a simple line graph with x-values 1 to 5 on the x-axis and y-values 2 to 10 on the y-axis. The plot will have labels for the x and y axes and a title at the top. The `plt.show()` function is used to display the plot.

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python Matplotlib

### 使用 Python Matplotlib 进行数据可视化

#### 安装 Matplotlib 库
为了使用 Matplotlib，需先确保已安装该库。可以通过 pip 工具来完成安装：

pip install matplotlib

#### 导入必要的模块并创建基础折线图
一旦安装完毕，就可以通过 `import` 命令引入所需的包，并利用简单的例子展示如何绘制一条正弦曲线[^1]。

import matplotlib.pyplot as plt
import numpy as np

# 创建数据集
x_values = np.linspace(0, 10, 100)  
y_values = np.sin(x_values)

# 绘制图形
plt.figure(figsize=(8, 4))          # 设置画布大小
plt.plot(x_values, y_values, label='sin(x)', color="blue", linestyle="--")

# 添加标签和标题
plt.title('Sine Wave Example')      # 图表标题
plt.xlabel('X Axis Label (radians)')# X轴名称
plt.ylabel('Y Axis Label (amplitude)')# Y轴名称

# 显示网格线
plt.grid(True)

# 展示图例
plt.legend()

# 输出图像到屏幕
plt.show()

这段代码展示了如何定义一组用于表示横坐标 (`x`) 和纵坐标 (`y`) 的数值序列；接着调用 `plot()` 函数生成对应的线条；最后设置了一些额外属性如颜色、样式以及添加了图例说明等[^2]。

#### 将图表保存为图片文件以便于Web集成
除了直接显示外，还可以把生成的图表导出成静态图片形式，方便嵌入网页或其他文档中。这一步骤可通过 `savefig()` 方法实现，指定目标路径及格式即可[^3]。

plt.savefig("output/sinewave_example.svg", format='svg', dpi=1200)

上述命令会将当前绘图窗口的内容另存为名为 "sinewave_example.svg" 的矢量图形文件，质量较高适合印刷出版物或高质量网络发布需求。

python matplotlib wait

In Python, the `matplotlib` library does not have a built-in "wait" function. However, you can use the `plt.show()` function to display the plot and block the execution of the program until the plot window is closed by the user. Here's an example:

import matplotlib.pyplot as plt

# Plotting code here

plt.show()  # Display the plot and wait for user interaction
print("This line will be executed after the plot window is closed.")

After calling `plt.show()`, the program will pause and wait for the user to close the plot window. Once the plot window is closed, the program will continue executing the remaining code.