Matplotlib，当图大小bi时matshow与gridspec不对齐

Question

我尝试使用 gridspec 将多种类型的图一起绘制。我将它与 Jupyter Notebook 一起使用，我意识到当图形宽度大于单元格宽度时。matshow 缩小了，不再与其他人对齐。例如，当 figsize 的宽度小于单元格宽度时，一切正常。.import matplotlib.pyplot as pltimport numpy as npimport matplotlib.gridspec as grdduration = 1data1 = np.sin(2*np.pi*np.linspace(0, duration, 10000))data2 = np.random.random((100,12))fig = plt.figure(figsize=[15, 5], constrained_layout=True)grid = grd.GridSpec(2, 2, figure=fig, height_ratios=[1, 1], width_ratios=[40, 1])ax = plt.subplot(grid[0])ax.plot(data1)ax = plt.subplot(grid[2])im = ax.matshow(data2.T, cmap=plt.get_cmap('inferno'), origin='lower')ax = plt.subplot(grid[3])cb = plt.colorbar(im, cax=ax)然后当宽度大于单元格时。.fig = plt.figure(figsize=[20, 5], constrained_layout=True)grid = grd.GridSpec(2, 2, figure=fig, height_ratios=[1, 1], width_ratios=[40, 1])ax = plt.subplot(grid[0])ax.plot(data1)ax = plt.subplot(grid[2])im = ax.matshow(data2.T, cmap=plt.get_cmap('inferno'), origin='lower')ax = plt.subplot(grid[3])cb = plt.colorbar(im, cax=ax)是什么导致 matshow() 缩小，我该如何解决？我在 Python 3.7 和 Matplotlib 3.1.3 上

Answer 1

constrained_layout 的全部要点之一是颜色条的处理更加优雅。即你不需要width_ratios=[40, 1]破解。

import matplotlib.pyplot as plt

import numpy as np

fig, ax = plt.subplots(2, 1, constrained_layout=True)

pc = ax[0].matshow(np.random.rand(20, 20), aspect='auto')

fig.colorbar(pc, ax=ax[0])

ax[1].plot(np.random.rand(20))

plt.show()