在子图之间共享辅助 y 轴 - Python

如何解决在子图之间共享辅助 y 轴 - Python

我想创建多个子图（2 行，3 列），每个子图都有一个辅助 y 轴。我希望在所有子图之间共享辅助 y 轴。因此，我想删除左侧和中间子图的刻度，只留下顶部和底部右侧图的刻度。这是我的代码：

def plot_example(n_rows,n_cols):

    def two_scales(ax1,c1,c2):
        ax2 = ax1.twinx()
        return ax1,ax2

    fig,axs = plt.subplots(nrows=n_rows,ncols=n_cols,sharex=True,sharey=True,figsize=(25,15))
    fig.subplots_adjust(hspace = .15,wspace=.15)
    data = np.arange(0,n_rows*n_cols) 

    uu  = 0
    for ax,kk in zip(axs.ravel(),data):
        ### apply function ###
        ax,ax2 = two_scales(ax,'darkred','darkslateblue')

        ### Plot the two figures ###
        ax.scatter(np.random.rand(100),np.random.rand(100)*1e5,c ='darkslateblue')
        ax2.scatter(np.random.rand(100),np.random.rand(100)*1e2,c ='darkred')
 
        #### Set tick parameters ####
        ax2.tick_params(axis='both',which='major',labelsize=25,width=1,length=6)
        ax2.tick_params(axis='both',which='minor',length=6)
     
        ax.tick_params(axis='both',length=6)
        ax.tick_params(axis='both',length=6 )
        
        #### Set axis scale ####
        ax2.set_yscale('log')
        ax.set_yscale('log')

        ### Change color of each axis ###
        def color_y_axis(ax,color):
            """Color your axes."""
            for t in ax.get_yticklabels():
                t.set_color(color)

        color_y_axis(ax,'darkslateblue')
        color_y_axis(ax2,'darkred')
        
        ### This is how I try to remove the ticks from the secondary axis for subplots 0,1 and 3,4 ###
        if (uu!=2) or (uu!=5):
            ax2.set_yticks([])
        elif (uu==2) or (uu==5):
            ax2.set_yticks([1e1,1e3,1e5])
        
        uu= uu+1

    fig.text(0.07,0.5,r'$\langle T \rangle \  \mathcal{(K)}$',va='center',rotation='vertical',color='darkslateblue',fontsize=font_size+15)
    fig.text(0.92,r'$Number \ of \ points$',color='darkred',fontsize=font_size+15)
   
    fig.text(0.5,0.05,'$\mathcal{PVI}$',ha='center',fontsize=font_size+15)

### run defined function ###
n_rows = 2
n_cols =3
plot_example(n_rows,n_cols)

这就是我得到的。

所有 y 次轴和所有子图都没有刻度。但是，我想查看子图编号 3 和 6 的刻度

解决方法

找到解决办法：

def plot_example(n_rows,n_cols):

    def two_scales(ax1,c1,c2):
        ax2 = ax1.twinx()
        return ax1,ax2

    fig,axs = plt.subplots(nrows=n_rows,ncols=n_cols,sharex=True,sharey=True,figsize=(25,15))
    fig.subplots_adjust(hspace = .15,wspace=.15)
    data = np.arange(0,n_rows*n_cols) 
   
    uu  = 0
    for ax,kk in zip(axs.ravel(),data):
        ### apply function ###
        ax,ax2 = two_scales(ax,'darkred','darkslateblue')

        ### Plot the two figures ###
        ax.scatter(np.random.rand(100),np.random.rand(100)*1e5,c ='darkslateblue')
        ax2.scatter(np.random.rand(100),np.random.rand(100)*1e2,c ='darkred')
 
        #### Set tick parameters ####
        ax2.tick_params(axis='both',which='major',labelsize=25,width=1,length=6)
        ax2.tick_params(axis='both',which='minor',length=6)
     
        ax.tick_params(axis='both',length=6)
        ax.tick_params(axis='both',length=6 )
        
        #### Set axis scale ####
        ax2.set_yscale('log')
        ax.set_yscale('log')

        ### Change color of each axis ###
        def color_y_axis(ax,color):
            """Color your axes."""
            for t in ax.get_yticklabels():
                t.set_color(color)

        color_y_axis(ax,'darkslateblue')
        color_y_axis(ax2,'darkred')
        
        ### This is how I try to remove the ticks from the secondary axis for subplots 0,1 and 3,4 ###
        if (uu!=2) and (uu!=5):
            ax2.set_yticks([])

        
        uu= uu+1

    fig.text(0.07,0.5,r'$\langle T \rangle \  \mathcal{(K)}$',va='center',rotation='vertical',color='darkslateblue',fontsize=font_size+15)
    fig.text(0.92,r'$Number \ of \ points$',color='darkred',fontsize=font_size+15)
   
    fig.text(0.5,0.05,'$\mathcal{PVI}$',ha='center',fontsize=font_size+15)

    ### run defined function ###
    n_rows = 2
    n_cols =3
    plot_example(n_rows,n_cols)