fig.subplots_adjust(wspace=0.5,hspace=0.5) 右图是加了subplots_adjust的对比效果图: 更多细节及代码实例可参考: matplotlib.org/api/_as_ 2. 代码实例: #! /usr/bin/env python # -*- coding: utf-8 -*- import matplotlib.pyplot as plt import numpy as np fig=plt.figure('subplot demo') # 图...
importmatplotlib.pyplotaspltimportnumpyasnp# 创建示例数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形和子图fig,ax=plt.subplots(figsize=(10,6))# 绘制数据ax.plot(x,y)ax.set_title('Sine Wave with Adjusted Margins - how2matplotlib.com')# 调整左右边距plt.subplots_adjust(left=0.2,right=0....
importmatplotlib.pyplotaspltimportnumpyasnp# 创建一个2x2的子图布局,共享x轴和y轴fig,axs=plt.subplots(2,2,sharex=True,sharey=True,figsize=(10,8))# 在每个子图中绘制一些数据foriinrange(2):forjinrange(2):x=np.linspace(0,2*np.pi,100)y=np.sin(x+i*np.pi/4)*np.cos(x+j*np.pi/4)...
并设定间距: plt.subplots_adjust(left=0.1, right=0.9, bottom=0.1, top=0.9, wspace=0.3, hspace=0.3) 代码如下: / import matplotlib.pyplot as pltimport numpy as npplt.rcParams['font.sans-serif'] = ['SimHei']plt.rcParams['axes.unicode_minus'] = False# 位置221 画一幅简单的折线图fig = ...
plt.subplots_adjust(left=0.18, wspace=0.25, hspace=0.25, bottom=0.13, top=0.91) \#plt.text(0.4,0.4,'deviation from\n central line ($m$)', rotation=90, ha='left') \#plt.legend(prop={'size':18}) # loc='upper left', \#fig.savefig('./figure/error_paper.eps', format='eps', ...
matplotlib.pyplot.subplots_adjust 调整子图布局,调用格式如下: subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) 参数 有六个可选参数来控制子图布局。值均为0~1之间。其中left、bottom、right、top围成的区域就是子图的区域。wspace、hspace分别表示子图之间左右、上下...
接着我们先不使用adjustText调整图像,直接绘制出原始的散点+文字标签: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 fig,ax=plt.subplots(figsize=(8,8))ax.scatter(x,y,c='SeaGreen',s=10)# 绘制散点 # 绘制所有点对应的文字标签forx_,y_,textinzip(x,y,texts):plt.text(x_,y_,text,font...
fig.tight_layout() plt.show() Using tight_layout() From the above example, we conclude that by using the tight_layout() function the spacing between subplots is proper. ReadMatplotlib plot_date Using subplots_adjust() function subplots_adjust()function changes the space between subplots. By us...
对于非常密集的数据，可以考虑使用plt.subplots_adjust(bottom=value)增加图形底部的空间，以便容纳更多垂直...
fig,axs=plt.subplots(2,2,figsize=(10,10))fig.suptitle('How2matplotlib.com: Adjusting Subplot Spacing')foriinrange(2):forjinrange(2):axs[i,j].plot(np.random.rand(10))axs[i,j].set_title(f'Subplot ({i+1},{j+1})')plt.subplots_adjust(hspace=0.5,wspace=0.5)plt.show() ...