在这个例子中,我们创建了一个2×2的子图网格,每个子图大小相同。plt.subplots(2, 2)函数返回一个Figure对象和一个2×2的Axes数组。我们可以通过索引axs[i, j]来访问每个子图,并在其中绘制不同的内容。 2. 使用gridspec创建不同大小的子图 虽然plt.subplots()函数非常方便,但它创建的子图大小都是相同的。如果我...
matplotlibsubplots with different sizes Matplotlib是Python中最流行的绘图库之一,它提供了强大的绘图功能和灵活的布局选项。在数据可视化中,经常需要在同一个图形中展示多个相关但不同的图表。Matplotlib的子图(subplots)功能允许我们在一个图形窗口中创建多个轴域(axes),每个轴域可以包含一个独立的图表。而且,这些子图可...
Subplots with Different Sizes This example demonstrates how to create subplots with different sizes usingsubplot2grid. different_sized_subplots.py import matplotlib.pyplot as plt import numpy as np # Data x = np.linspace(0, 10, 100) # Create a figure with subplots of different sizes plt.figure...
subplots(ncols=2, figsize=(13, 4)) labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] # 所占百分比 explode = (0, 0.1, 0, 0) # 每个扇形之间的间隔 ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True) ax1.axis('equal') ax2.pie(sizes, ...
Matplotlib subplots different sizesWe can create a figure with different sized subplots in matplotlib with compatible grid specifications. We can do this by dividing the figure into the subplots and subplots of these subplots and so on. Then, specify the required subplots only....
Now the problem comes!What to do if we want to create subplots of different sizes within the area. Hurrah!We have asolutionfor this problem. So let’s learn it. For changing the size of subplots within the same figure area according to your choice using the methodadd_gridspec(). It is...
fig1, (ax1, ax2) = plt.subplots(2) ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True) ax1.axis('equal') ax2.pie(sizes, autopct='%1.2f%%', shadow=True, startangle=90, explode=explode, pctdistance=1.12) ax2.axis('equal') ...
多个图形描绘 subplots 代码语言:txt AI代码解释 %pylab inline pylab.rcParams['figure.figsize'] = (10, 6) # 调整图片大小 # np.random.seed(19680801) n_bins = 10 x = np.random.randn(1000, 3) fig, axes = plt.subplots(nrows=2, ncols=2) ...
subplot(nrows,ncols,index,**kwargs) 基础设置: # 魔法函数,调整画布大小%pylabinlinepylab.rcParams['figure.figsize']=(10,6)# 调整图片大小,长=10,宽=6fig,axes=plt.subplots(nrows=2,ncols=2)# fig:可以对整个画布再进行配置# axes:子画布的信息ax0,ax1,ax2,ax3=axes.flatten() ...
sizes = [15, 30, 45, 10] explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs') fig1, (ax1, ax2) = plt.subplots(2) ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True) ax1.axis('equal') ...