Python-使用matplotlib组织3个子图 [英] Python - Organisation of 3 subplots with matplotlib

问题描述

我尝试为我的图生成 3 个子图.它似乎有效，但并不完全一致.下图和下图的宽度如何相同?

  plt.close()无花果= plt.figure()ax1 = plt.subplot(211)ax1.plot(cycles，np.asarray(df_int)，'wo'，label ='')ax1.plot(cycles,np.asarray(df_proj),'k+',label='')ax1.legend(loc=2)#ax1.subplots_adjust(left=0.15)ax1.set_ylim(0.001,0.004)ax2 = plt.subplot(223)i2 = ax2.imshow(c，cmap = plt.cm.hot，vmin = -5，vmax = 5);#plt.colorbar(); plt.clim(-5,5)cb2 = plt.colorbar(i2，ax = ax2，ticks = [-5,0,5]，分数= 0.046，pad = 0.04，format ='％.2f')cb2.ax.tick_params(labelsize = 12)ax3 = plt.subplot(224)i3 = ax3.imshow(residue_proj，cmap = plt.cm.hot，vmin = -5，vmax = 5);#plt.colorbar(); plt.clim(-5,5);cb3 = plt.colorbar(i3，ax = ax3，ticks = [-5,0,5]，fraction = 0.046，pad = 0.04，format ='％.2f')cb3.ax.tick_params(labelsize=12)plt.savefig('test.png'，dpi = 500，bbox_inches ='tight'，pad_inches = 0.1)#plt.show()

解决方案

如果您使用 GridSpec ，

将 numpy 导入为 np导入matplotlib.pylab作为pl导入 matplotlib.gridspec 作为 gridspec# 创建 2x2 子图gs = gridspec.GridSpec(2，2)pl.figure()ax = pl.subplot(gs [0，0])#第0行，第0行pl.plot([0,1])ax = pl.subplot(gs [0，1])#第0行，第1行pl.plot([0,1])ax = pl.subplot(gs [1，:])#第1行，跨所有列pl.plot([0,1])

请参阅:

I try to generate 3 subplots for my figure. It seems work but it is not perfectly aligned. How to have the same width between the figure at the bottom et the figures at below?

plt.close()
fig = plt.figure()

ax1 = plt.subplot(211)
ax1.plot(cycles,np.asarray(df_int),'wo',label='')
ax1.plot(cycles,np.asarray(df_proj),'k+',label='')
ax1.legend(loc=2)
#ax1.subplots_adjust(left=0.15)
ax1.set_ylim(0.001,0.004)

ax2 = plt.subplot(223)
i2=ax2.imshow(c,cmap=plt.cm.hot, vmin=-5, vmax=5);#plt.colorbar();plt.clim(-5,5)
cb2=plt.colorbar(i2,ax=ax2,ticks=[-5,0,5],fraction=0.046, pad=0.04,format='%.2f')
cb2.ax.tick_params(labelsize=12)



ax3 = plt.subplot(224)
i3=ax3.imshow(residue_proj,cmap=plt.cm.hot, vmin=-5, vmax=5);#plt.colorbar();plt.clim(-5,5);
cb3=plt.colorbar(i3,ax=ax3,ticks=[-5,0,5],fraction=0.046, pad=0.04,format='%.2f')
cb3.ax.tick_params(labelsize=12)

plt.savefig('test.png', dpi=500,  bbox_inches='tight', pad_inches=0.1)
#plt.show()

解决方案

This is probably a lot easier if you use GridSpec:

import numpy as np
import matplotlib.pylab as pl
import matplotlib.gridspec as gridspec

# Create 2x2 sub plots
gs = gridspec.GridSpec(2, 2)

pl.figure()
ax = pl.subplot(gs[0, 0]) # row 0, col 0
pl.plot([0,1])

ax = pl.subplot(gs[0, 1]) # row 0, col 1
pl.plot([0,1])

ax = pl.subplot(gs[1, :]) # row 1, span all columns
pl.plot([0,1])

See: http://matplotlib.org/users/gridspec.html

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