Traceback (most recent call last): File "C:\Python\Product\QT5_Project\test\example01.py", line 51, in <module> window = Image3DWindow(r'C:\Python\Product\QT5_Project\test\er.png') File "C:\Python\Product\QT5_Project\test\example01.py", line 25, in __init__ X, Y = plt.meshgrid(x, y) AttributeError: module 'matplotlib.pyplot' has no attribute 'meshgrid' 报错啦
时间: 2023-07-21 16:02:57 浏览: 152
抱歉,我之前给出的代码有误。在Matplotlib中,`meshgrid`函数实际上是在`numpy`模块中定义的,而不是在`pyplot`模块中。请尝试将代码中的`plt.meshgrid(x, y)`替换为`np.meshgrid(x, y)`,并且在代码开头添加以下导入语句:
```python
import numpy as np
```
这样应该就可以解决这个错误了。以下是修改后的代码:
```python
import sys
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from PyQt5.QtWidgets import QMainWindow, QApplication
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPixmap
import numpy as np
class Image3DWindow(QMainWindow):
def __init__(self, image_path):
super().__init__()
# 创建一个Figure对象和一个3D坐标轴
self.fig = plt.figure()
self.ax = self.fig.add_subplot(111, projection='3d')
# 读取RGB图像并获取每个像素的RGB值
image = plt.imread(image_path)
r, g, b = image[:, :, 0], image[:, :, 1], image[:, :, 2]
# 构建三维坐标系
x, y = r.shape
x, y = range(x), range(y)
X, Y = np.meshgrid(x, y)
# 绘制3D散点图
self.ax.scatter(X.flatten(), Y.flatten(), r.flatten(), c='red', marker='o')
self.ax.scatter(X.flatten(), Y.flatten(), g.flatten(), c='green', marker='o')
self.ax.scatter(X.flatten(), Y.flatten(), b.flatten(), c='blue', marker='o')
# 设置图形参数
self.ax.set_xlabel('X')
self.ax.set_ylabel('Y')
self.ax.set_zlabel('Intensity')
# 将Matplotlib绘制的图形转换为QPixmap
self.canvas = plt.gcf().canvas
self.canvas.draw()
self.qpixmap = QPixmap.fromImage(self.canvas.tostring_rgb().data,
self.canvas.get_width_height()[::-1],
QPixmap.Format_RGB888)
def paintEvent(self, event):
painter = QtGui.QPainter(self)
painter.drawPixmap(0, 0, self.qpixmap)
if __name__ == '__main__':
app = QApplication(sys.argv)
window = Image3DWindow('image.jpg')
window.show()
sys.exit(app.exec_())
```
希望这次能够顺利运行!如果还有其他问题,请随时向我提问。
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