我嘗試使用 gridspec 將多種類型的圖一起繪制。我將它與 Jupyter Notebook 一起使用,我意識(shí)到當(dāng)圖形寬度大于單元格寬度時(shí)。matshow 縮小了,不再與其他人對(duì)齊。例如,當(dāng) figsize 的寬度小于單元格寬度時(shí),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)然后當(dāng)寬度大于單元格時(shí)。.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)是什么導(dǎo)致 matshow() 縮小,我該如何解決?我在 Python 3.7 和 Matplotlib 3.1.3 上
1 回答

慕妹3146593
TA貢獻(xiàn)1820條經(jīng)驗(yàn) 獲得超9個(gè)贊
constrained_layout 的全部要點(diǎn)之一是顏色條的處理更加優(yōu)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()
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