自学教程：matplotlib共享坐标轴的实现(X或Y坐标轴)

pyplot.subplots（nrows = 1，ncols = 1，sharex = False，sharey = False，squeeze = True，subplot_kw =无，gridspec_kw =无，** fig_kw ）

'''1. 程序目的：   基于sharex和sharey实现     (1) 共享x轴     (2) 共享y轴     (3) 同时共享x轴和y轴     (4) 调整子图之间的距离   2. 版本   2.1 山东青岛  2021年5月18日  Version 1'''# 1. 相关模块导入import numpy as npimport matplotlib.pyplot as pltplt.rcParams['font.sans-serif'] = ['SimHei'] # 正常显示中文字体plt.rcParams['axes.unicode_minus'] = False  # 正常显示负号# 2. 创建制图数据x = np.linspace(-5,5,100)y_1 = np.sin(x)y_2 = np.cos(x)y_3 = y_2*2# 3. 绘图  # 3.1 共享X轴figure,(ax1,ax2,ax3) = plt.subplots(3,1,                                    figsize=(5,6),                                    dpi=600,                                    # 共享x轴                                    sharex=True)ax1.plot(x,y_1,c='blue',linestyle=':')ax2.plot(x,y_2,c='orange',linestyle=':')ax3.plot(x,y_3,c='r',linestyle=':')    # 调整子图形之间的纵向距离figure.subplots_adjust(hspace=0.1) ax1.set_title('以下三图共享了X轴')  # 其实更合理的添加图名时figure.subtitle()  # 3.2 共享Y轴    # 创建新的绘图figure和axes对象figure,(ax1,ax2,ax3) = plt.subplots(1,3,                                    figsize=(6,2),                                    dpi=600,                                    # 共享y轴                                    sharey=True)figure.suptitle('以下三图共享了Y轴')ax1.plot(x,y_1,c='blue',linestyle=':')ax2.plot(x,y_2,c='orange',linestyle=':')ax3.plot(x,y_3,c='r',linestyle=':')    # 调整子图形之间的横向距离figure.subplots_adjust(wspace=0.1)   # 3.3 同时共享x轴和y轴    # 创建新的绘图figure和axes对象figure,(ax1,ax2,ax3) = plt.subplots(1,3,                                    figsize=(6,2),                                    dpi=600,                                    # 共享x轴                                    sharex=True,                                    # 共享y轴                                    sharey=True)x4 = np.linspace(-10,10,100)y_4 = np.cos(x4)*2figure.suptitle('以下三图同时共享了X轴和Y轴')ax1.plot(x,y_1,c='blue',linestyle=':')ax2.plot(x,y_2,c='orange',linestyle=':')ax3.plot(x4,y_4,c='r',linestyle=':')    # 调整子图形之间的横向距离figure.subplots_adjust(wspace=0.1) plt.show()

import matplotlib.pyplot as pltimport numpy as npplt.rcParams['font.sans-serif']=['SimHei']plt.rcParams['axes.unicode_minus']=Falsex=np.linspace(0,2*np.pi,500)y=np.sin(x)*np.exp(-x)fig,ax=plt.subplots(nrows=1,ncols=2,sharey=True)ax1=ax[0]ax1.plot(x,y)ax1.set_title("折线图") ax2=ax[1]ax2.scatter(x,y)ax2.set_title("散点图")plt.suptitle("一张画布两个子图,并共享y坐标")#删除空隙wspace为两图的水平距离，hspace为两图的垂直距离fig.subplots_adjust(wspace=0)plt.show()

import matplotlib.pyplot as pltimport numpy as npplt.rcParams['font.sans-serif']=['SimHei']plt.rcParams['axes.unicode_minus']=Falsex=np.linspace(0,2*np.pi,500)y=np.sin(x)*np.exp(-x)fig,ax=plt.subplots(nrows=1,ncols=1)ax.plot(x,y)ax.set_title("折线图")ax.scatter(x,y[::-1])plt.suptitle("共享单一绘图区域的坐标轴")plt.show()