如何使用matplotlib与图紧密布局? [英] How to use matplotlib tight layout with Figure?

问题描述

我找到了pyplot的ightt_layout函数，并希望使用它.在我的应用程序中，我将matplotlib图嵌入到Qt GUI中，并使用Figure而不是pyplot.有什么办法可以在我那里应用tight_layout吗?如果我在一个图形中有多个轴，也可以使用吗?

I found tight_layout function for pyplot and want to use it. In my application I embed matplotlib plots into Qt GUI and use figure and not pyplot. Is there any way I can apply tight_layout there? Would it also work if I have several axes in one figure?

推荐答案

只需像往常一样调用fig.tight_layout(). (pyplot只是一个方便包装器.在大多数情况下，您仅使用它来快速生成图形和轴对象，然后直接调用其方法.)

Just call fig.tight_layout() as you normally would. (pyplot is just a convenience wrapper. In most cases, you only use it to quickly generate figure and axes objects and then call their methods directly.)

QtAgg后端和默认后端之间应该没有区别(或者，如果有，那就是一个错误).

There shouldn't be a difference between the QtAgg backend and the default backend (or if there is, it's a bug).

例如

import matplotlib.pyplot as plt

#-- In your case, you'd do something more like:
# from matplotlib.figure import Figure
# fig = Figure()
#-- ...but we want to use it interactive for a quick example, so 
#--    we'll do it this way
fig, axes = plt.subplots(nrows=4, ncols=4)

for i, ax in enumerate(axes.flat, start=1):
    ax.set_title('Test Axes {}'.format(i))
    ax.set_xlabel('X axis')
    ax.set_ylabel('Y axis')

plt.show()

布局紧凑之前

import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows=4, ncols=4)

for i, ax in enumerate(axes.flat, start=1):
    ax.set_title('Test Axes {}'.format(i))
    ax.set_xlabel('X axis')
    ax.set_ylabel('Y axis')

fig.tight_layout()

plt.show()

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