plt.pcolor()
时间: 2024-05-21 17:10:49 浏览: 11
`plt.pcolor()` is a function in the matplotlib library for creating a pseudocolor plot. It is used to visualize 2D arrays or grids of data as a color-coded image. It takes in two 2D arrays: X and Y, and a 2D array of values (Z) that represent the color of each point on the grid. The X and Y arrays represent the coordinates of the points on the grid. The function then plots the color-coded image where each point on the grid is colored based on its corresponding value in the Z array. The function can also take in additional arguments such as colormap, shading, and normalization to customize the appearance of the plot.
相关问题
plt.subplot(4, 4, i + 1) plt.title(f) plt.pcolor(W[:, :, i].T, cmap='rainbow')设置颜色映射范围
可以使用`vmin`和`vmax`参数来设置颜色映射范围,例如:
```python
plt.subplot(4, 4, i + 1)
plt.title(f)
plt.pcolor(W[:, :, i].T, cmap='rainbow', vmin=0, vmax=1)
```
这里将最小值设置为0,最大值设置为1,使得颜色映射范围在0到1之间。你可以根据具体情况调整这两个参数。
plt.subplot(4, 4, i + 1) plt.title(f) plt.pcolor(W[:, :, i].T, cmap='rainbow')修改颜色为warming
可以将代码修改为以下形式:
```
plt.subplot(4, 4, i + 1)
plt.title(f)
plt.pcolor(W[:, :, i].T, cmap='Wistia')
```
其中,将 `cmap` 参数的值修改为 `'Wistia'` 即可使用 warming 风格的配色方案。