如何绘制具有不同 colspan 的四个子图? [英] How can I plot four subplots with different colspans?

问题描述

我尝试使用 matplotlib.pyplot 拟合四个图像，如下所示:

<代码>|情节1 |情节2||情节3 ||情节4 |

我发现的大多数例子都涵盖了这样的三个图:

ax1 = plt.subplot(221)ax2 = plt.subplot(222)ax3 = plt.subplot(212)

这成功地绘制了三个图(但是，我不明白 ax3 是如何完成的).现在，我想将情节 4 添加到此安排中.无论我尝试什么，我都无法成功.

能否请您指导我如何实现它?

解决方案

您可以使用

I try to fit four images using matplotlib.pyplot like the following:

| plot1 | plot2|
|    plot3     |
|    plot4     |

Most examples I found cover three plots like these:

ax1 = plt.subplot(221)
ax2 = plt.subplot(222)
ax3 = plt.subplot(212)

And this plots the three plots successfully (However, I don't get how it is done for ax3). Now, I want to add the plot 4 to this arrangement. Whatever I tried, I couldn't succeed.

Could you please guide me how can I achieve it?

解决方案

You can use subplot2grid. It is really convenient.

The docs say

Create a subplot in a grid. The grid is specified by shape, at location of loc, spanning rowspan, colspan cells in each direction. The index for loc is 0-based.

First you define the size in terms of number of rows and columns (3,2) here. Then you define the starting (row, column) position for a particular subplot. Then you assign the number of rows/columns spanned by that particular subplot. The keywords for row and column spans are rowspan and colspan respectively.

import matplotlib.pyplot as plt

ax1 = plt.subplot2grid((3, 2), (0, 0), colspan=1)
ax2 = plt.subplot2grid((3, 2), (0, 1), colspan=1)
ax3 = plt.subplot2grid((3, 2), (1, 0), colspan=2)
ax4 = plt.subplot2grid((3, 2), (2, 0), colspan=2)
plt.tight_layout()

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