刪除或減少子圖之間的空白空間

Question

我需要通過水平擴展子圖來消除某些子圖之間的空白空間。

這裏有一個形象展示我有兩個漂亮的手繪紅色圓圈的意思（MWE以下）：

通過「擺脫」我的意思是：擴大橫向底部的兩個次要情節中的每一列，所以他們之間幾乎沒有空白。分隔列的空格必須保持不變，以避免修改上面的方形子圖。

我試過fig.subplots_adjust(wspace=0)但弄亂了上述的次要情節，而我只需要修改底部次要情節之間的空白空間。

我也嘗試過更新GridSpec as shown here，但那不符合tight_layout()。

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MWE

的MWE看上去很長，但它只是相同的代碼複製/粘貼和小的變化作出（即：去除蜱，標籤，彩條等）。

import matplotlib.pyplot as plt 
import matplotlib.gridspec as gridspec 
from mpl_toolkits.axes_grid1 import make_axes_locatable 

fig = plt.figure(figsize=(14.25, 13.5)) 
gs = gridspec.GridSpec(3, 6) 

# Left top plot. 
ax1 = plt.subplot(gs[0:1, 0:2]) 
plt.title('AAAAAAAA', fontsize=11) 
ax1.tick_params(axis='both', which='major', labelsize=9) 
ax1.set_xticklabels([]) 
plt.xlabel('', fontsize=12) 
plt.ylabel('BBBB', fontsize=12) 
SC = plt.scatter([0., 1.], [0., 1.], c=[2., 5.]) 
# Position colorbar. 
the_divider = make_axes_locatable(ax1) 
color_axis = the_divider.append_axes("right", size="2%", pad=0.1) 
# Colorbar. 
cbar = plt.colorbar(SC, cax=color_axis) 
cbar.set_label('ccc', fontsize=12, labelpad=4, y=0.5) 
cbar.ax.tick_params(labelsize=9) 
ax1.set_aspect(aspect='auto') 

# Left middle plot. 
ax2 = plt.subplot(gs[1:2, 0:2]) 
ax2.tick_params(axis='both', which='major', labelsize=9) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('BBBB', fontsize=12) 
SC = plt.scatter([10., 5.], [3., 17.], c=[0.3, 0.8]) 
the_divider = make_axes_locatable(ax2) 
color_axis = the_divider.append_axes("right", size="2%", pad=0.1) 
cbar = plt.colorbar(SC, cax=color_axis) 
cbar.set_label('ccc', fontsize=12, labelpad=4, y=0.5) 
cbar.ax.tick_params(labelsize=9) 
ax2.set_aspect(aspect='auto') 

# Left bottom left plot. 
ax3 = plt.subplot(gs[2:3, 0:1]) 
ax3.tick_params(axis='both', which='major', labelsize=9) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('BBBB', fontsize=12) 

# Left bottom right pot. 
ax4 = plt.subplot(gs[2:3, 1:2]) 
ax4.tick_params(axis='both', which='major', labelsize=9) 
ax4.set_yticklabels([]) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('', fontsize=12) 

# Middle top plot. 
ax5 = plt.subplot(gs[0:1, 2:4]) 
plt.title('AAAAAAAA', fontsize=11) 
ax5.tick_params(axis='both', which='major', labelsize=9) 
ax5.set_xticklabels([]) 
ax5.set_yticklabels([]) 
plt.xlabel('', fontsize=12) 
plt.ylabel('', fontsize=12) 
SC = plt.scatter([0., 1.], [0., 1.], c=[2., 5.]) 
the_divider = make_axes_locatable(ax5) 
color_axis = the_divider.append_axes("right", size="2%", pad=0.1) 
cbar = plt.colorbar(SC, cax=color_axis) 
cbar.set_label('ccc', fontsize=12, labelpad=4, y=0.5) 
cbar.ax.tick_params(labelsize=9) 
ax5.set_aspect(aspect='auto') 

# Middle middle plot. 
ax6 = plt.subplot(gs[1:2, 2:4]) 
ax6.tick_params(axis='both', which='major', labelsize=9) 
ax5.set_yticklabels([]) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('', fontsize=12) 
SC = plt.scatter([10., 5.], [3., 17.], c=[0.3, 0.8]) 
the_divider = make_axes_locatable(ax6) 
color_axis = the_divider.append_axes("right", size="2%", pad=0.1) 
cbar = plt.colorbar(SC, cax=color_axis) 
cbar.set_label('ccc', fontsize=12, labelpad=4, y=0.5) 
cbar.ax.tick_params(labelsize=9) 
ax6.set_aspect(aspect='auto') 

# Middle bottom left plot. 
ax7 = plt.subplot(gs[2:3, 2:3]) 
ax7.tick_params(axis='both', which='major', labelsize=9) 
ax7.set_yticklabels([]) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('', fontsize=12) 

# Middle bottom right pot. 
ax8 = plt.subplot(gs[2:3, 3:4]) 
ax8.tick_params(axis='both', which='major', labelsize=9) 
ax8.set_yticklabels([]) 
plt.xlabel('DDDD', fontsize=12) 
plt.ylabel('', fontsize=12) 
SC = plt.scatter([10., 5.], [3., 17.], c=[0.3, 0.8]) 
the_divider = make_axes_locatable(ax8) 
color_axis = the_divider.append_axes("right", size="5%", pad=0.1) 
cbar = plt.colorbar(SC, cax=color_axis) 
cbar.set_label('eee', fontsize=12, labelpad=4, y=0.5) 
cbar.ax.tick_params(labelsize=9) 

fig.tight_layout() 
plt.savefig('del.png', dpi=150) 

Answer 1

我設法或多或少地解決使用幾個gridspec S和GridSpecFromSubplotSpec問題。

的代碼是相當可怕的，可怕的哈克，但它能夠完成任務。我會等待，看看是否有人想出了接受我的答案之前不太可怕的解決方案。

---

代碼：

import matplotlib.pyplot as plt 
import matplotlib.gridspec as gridspec 
from mpl_toolkits.axes_grid1 import make_axes_locatable 
import numpy as np 


def data(): 
    x = np.random.uniform(-10, 10., 50) 
    y = np.random.uniform(-10, 10., 50) 
    z = np.random.uniform(0, 1., 50) 
    return x, y, z 


def square_plot(gs, i): 

    # Define gridspec ranges. 
    x_gdsp = [[0, 2], [2, 4], [4, 6]] 
    if i in [0, 1, 2]: 
     y1, y2 = 0, 1 
     x1, x2 = x_gdsp[i] 
    elif i in [3, 4, 5]: 
     y1, y2 = 1, 2 
     x1, x2 = x_gdsp[i-3] 

    ax = plt.subplot(gs[y1:y2, x1:x2]) 
    if i in [0, 1, 2]: 
     plt.title('AAAAAAAA', fontsize=11) 
     ax.set_xticklabels([]) 
    if i in [0, 3]: 
     plt.ylabel('BBBB', fontsize=12) 
    else: 
     ax.set_yticklabels([]) 
    if i in [3, 4, 5]: 
     plt.xlabel('CCCC', fontsize=12) 
    ax.tick_params(axis='both', which='major', labelsize=9) 
    x, y, z = data() 
    SC = plt.scatter(x, y, c=z) 
    # Position colorbar. 
    the_divider = make_axes_locatable(ax) 
    color_axis = the_divider.append_axes("right", size="2%", pad=0.1) 
    # Colorbar. 
    cbar = plt.colorbar(SC, cax=color_axis) 
    cbar.set_label('cbar', fontsize=12, labelpad=4, y=0.5) 
    cbar.ax.tick_params(labelsize=9) 
    ax.set_aspect(aspect='auto') 


def rectangular_plots(gs, i): 

    x_gdsp = [[[0, 1], [2, 3], [4, 5]], [[1, 2], [3, 4], [5, 6]]] 
    y1, y2 = 2, 3 
    x11, x12 = x_gdsp[0][i] 
    x21, x22 = x_gdsp[1][i] 

    # Left plot. 
    right_gs = gridspec.GridSpecFromSubplotSpec(
     1, 2, width_ratios=[1, 6], subplot_spec=gs[y1:y2, x11:x12], 
     wspace=0.) 
    ax3 = plt.subplot(right_gs[1]) 
    plt.ylim(-15., 15.) 
    plt.xlabel('DDDD', fontsize=12) 
    if i == 0: 
     ax3.set_ylabel('BBBB', fontsize=12) 
    else: 
     ax3.set_yticklabels([]) 
    ax3.tick_params(axis='both', which='major', labelsize=9) 
    x, y, z = data() 
    plt.scatter(x, y, c=z) 

    # Right pot. 
    right_gs = gridspec.GridSpecFromSubplotSpec(
     1, 2, width_ratios=[6, 1], subplot_spec=gs[y1:y2, x21:x22], 
     wspace=0.) 
    ax4 = plt.subplot(right_gs[0]) 
    plt.ylim(-15., 15.) 
    plt.xlabel('DDDD', fontsize=12) 
    ax4.tick_params(axis='both', which='major', labelsize=9) 
    ax4.set_yticklabels([]) 
    x, y, z = data() 
    SC = plt.scatter(x, y, c=z) 
    the_divider = make_axes_locatable(ax4) 
    color_axis = the_divider.append_axes("right", size="5%", pad=0.1) 
    cbar = plt.colorbar(SC, cax=color_axis) 
    cbar.set_label('eee', fontsize=12, labelpad=4, y=0.5) 
    cbar.ax.tick_params(labelsize=9) 


fig = plt.figure(figsize=(14.25, 13.5)) 

# Make square plots. 
gs = gridspec.GridSpec(3, 6) 
for i in range(6): 
    square_plot(gs, i) 

# New gridspecs for bottom rectangular plots. 
# ***Values selected by hand*** 
gs2 = gridspec.GridSpec(3, 6) 
gs2.update(wspace=0.0, bottom=0.029, left=0.031, right=0.95) 
gs3 = gridspec.GridSpec(3, 6) 
gs3.update(wspace=0.0, bottom=0.029, left=0.043, right=0.965) 
gs4 = gridspec.GridSpec(3, 6) 
gs4.update(wspace=0.0, bottom=0.029, left=0.05, right=0.976) 

# Make plots. 
rectangular_plots(gs2, 0) 
rectangular_plots(gs3, 1) 
rectangular_plots(gs4, 2) 

fig.tight_layout() 
plt.savefig('del.png', dpi=150)