使用numpy和matplotlib绘制带局部阴影的坐标系,两条曲线分别是y = cos(2Πx)exp(-x)+0.8和 y = 0.5 cos(x2)+0.8,阴影区间自定义,示例图如下。
时间: 2024-03-22 07:39:56 浏览: 17
好的,我会尽力解答。首先,我们需要安装numpy和matplotlib库。请确保你已经安装了这两个库。
```python
!pip install numpy
!pip install matplotlib
```
然后,我们可以按照以下步骤绘制坐标系和曲线:
1. 导入numpy和matplotlib
```python
import numpy as np
import matplotlib.pyplot as plt
```
2. 定义函数
```python
def func1(x):
return np.cos(2*np.pi*x)*np.exp(-x)+0.8
def func2(x):
return 0.5*np.cos(x**2)+0.8
```
3. 生成x和y的值
```python
x = np.linspace(0, 3, 1000)
y1 = func1(x)
y2 = func2(x)
```
4. 绘制坐标系
```python
fig, ax = plt.subplots()
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['bottom'].set_position(('data', 0))
ax.spines['left'].set_position(('data', 0))
ax.set_xlim([0, 3])
ax.set_ylim([0, 2])
```
5. 绘制曲线1和曲线2
```python
ax.plot(x, y1, label='y = cos(2πx)exp(-x)+0.8')
ax.plot(x, y2, label='y = 0.5cos(x^2)+0.8')
```
6. 绘制阴影
```python
shade_x = np.linspace(1, 2, 1000)
shade_y1 = func1(shade_x)
shade_y2 = func2(shade_x)
ax.fill_between(shade_x, shade_y1, shade_y2, color='gray', alpha=0.2)
```
7. 添加图例和标题
```python
ax.legend(loc='upper right')
ax.set_title('Example Plot with Shadow')
```
最后,我们调用`plt.show()`来显示图形。
完整代码如下:
```python
import numpy as np
import matplotlib.pyplot as plt
def func1(x):
return np.cos(2*np.pi*x)*np.exp(-x)+0.8
def func2(x):
return 0.5*np.cos(x**2)+0.8
x = np.linspace(0, 3, 1000)
y1 = func1(x)
y2 = func2(x)
fig, ax = plt.subplots()
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['bottom'].set_position(('data', 0))
ax.spines['left'].set_position(('data', 0))
ax.set_xlim([0, 3])
ax.set_ylim([0, 2])
ax.plot(x, y1, label='y = cos(2πx)exp(-x)+0.8')
ax.plot(x, y2, label='y = 0.5cos(x^2)+0.8')
shade_x = np.linspace(1, 2, 1000)
shade_y1 = func1(shade_x)
shade_y2 = func2(shade_x)
ax.fill_between(shade_x, shade_y1, shade_y2, color='gray', alpha=0.2)
ax.legend(loc='upper right')
ax.set_title('Example Plot with Shadow')
plt.show()
```
运行代码后,会弹出一个绘制好的坐标系和曲线,其中包含一个阴影区间。你可以根据需要调整阴影区间的位置和颜色。