matplotlib 在我的子图下方放置不需要的零

Question

如您所见，我在每个子图下方都有不需要的零

这里是代码

fig3,axes = plt.subplots(ncols=2,nrows=5)
fig3.tight_layout()
plt.subplots_adjust(hspace = 0.8,top = 0.9  )

A.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[0,0])
axes[0][0].axvline(indices.loc[0,Indice],color='b')
axes[0][0].axvline(indices.loc[1,Indice],color='b')
axes[0][0].axvline(indices.loc[2,Indice],color='k')
axes[0][0].axvline(indices.loc[3,Indice],color='k')
axes[0][0].axvline(indices.loc[4,Indice],color='r')
axes[0][0].axvline(indices.loc[5,Indice],color='r')
axes[0][0].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

B.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[1,0])
axes[1][0].axvline(indices.loc[0,Indice],color='b')
axes[1][0].axvline(indices.loc[1,Indice],color='b')
axes[1][0].axvline(indices.loc[2,Indice],color='k')
axes[1][0].axvline(indices.loc[3,Indice],color='k')
axes[1][0].axvline(indices.loc[4,Indice],color='r')
axes[1][0].axvline(indices.loc[5,Indice],color='r')
axes[1][0].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

C.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[2,0])
axes[2][0].axvline(indices.loc[0,Indice],color='b')
axes[2][0].axvline(indices.loc[1,Indice],color='b')
axes[2][0].axvline(indices.loc[2,Indice],color='k')
axes[2][0].axvline(indices.loc[3,Indice],color='k')
axes[2][0].axvline(indices.loc[4,Indice],color='r')
axes[2][0].axvline(indices.loc[5,Indice],color='r')
axes[2][0].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

D.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[3,0])
axes[3][0].axvline(indices.loc[0,Indice],color='b')
axes[3][0].axvline(indices.loc[1,Indice],color='b')
axes[3][0].axvline(indices.loc[2,Indice],color='k')
axes[3][0].axvline(indices.loc[3,Indice],color='k')
axes[3][0].axvline(indices.loc[4,Indice],color='r')
axes[3][0].axvline(indices.loc[5,Indice],color='r')
axes[3][0].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

E.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[4,0])
axes[4][0].axvline(indices.loc[0,Indice],color='b')
axes[4][0].axvline(indices.loc[1,Indice],color='b')
axes[4][0].axvline(indices.loc[2,Indice],color='k')
axes[4][0].axvline(indices.loc[3,Indice],color='k')
axes[4][0].axvline(indices.loc[4,Indice],color='r')
axes[4][0].axvline(indices.loc[5,Indice],color='r')
axes[4][0].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

F.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[0,1])
axes[0][1].axvline(indices.loc[0,Indice],color='b')
axes[0][1].axvline(indices.loc[1,Indice],color='b')
axes[0][1].axvline(indices.loc[2,Indice],color='k')
axes[0][1].axvline(indices.loc[3,Indice],color='k')
axes[0][1].axvline(indices.loc[4,Indice],color='r')
axes[0][1].axvline(indices.loc[5,Indice],color='r')
axes[0][1].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

G.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[1,1])
axes[1][1].axvline(indices.loc[0,Indice],color='b')
axes[1][1].axvline(indices.loc[1,Indice],color='b')
axes[1][1].axvline(indices.loc[2,Indice],color='k')
axes[1][1].axvline(indices.loc[3,Indice],color='k')
axes[1][1].axvline(indices.loc[4,Indice],color='r')
axes[1][1].axvline(indices.loc[5,Indice],color='r')
axes[1][1].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

H.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[2,1])
axes[2][1].axvline(indices.loc[0,Indice],color='b')
axes[2][1].axvline(indices.loc[1,Indice],color='b')
axes[2][1].axvline(indices.loc[2,Indice],color='k')
axes[2][1].axvline(indices.loc[3,Indice],color='k')
axes[2][1].axvline(indices.loc[4,Indice],color='r')
axes[2][1].axvline(indices.loc[5,Indice],color='r')
axes[2][1].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

I.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[3,1])
axes[3][1].axvline(indices.loc[0,Indice],color='b')
axes[3][1].axvline(indices.loc[1,Indice],color='b')
axes[3][1].axvline(indices.loc[2,Indice],color='k')
axes[3][1].axvline(indices.loc[3,Indice],color='k')
axes[3][1].axvline(indices.loc[4,Indice],color='r')
axes[3][1].axvline(indices.loc[5,Indice],color='r')
axes[3][1].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])

J.plot(x=0,y=1, linewidth=0.4,color='k',legend=False,ax=axes[4,1])
axes[4][1].axvline(indices.loc[0,Indice],color='b')
axes[4][1].axvline(indices.loc[1,Indice],color='b')
axes[4][1].axvline(indices.loc[2,Indice],color='k')
axes[4][1].axvline(indices.loc[3,Indice],color='k')
axes[4][1].axvline(indices.loc[4,Indice],color='r')
axes[4][1].axvline(indices.loc[5,Indice],color='r')
axes[4][1].set_xlim([indices.loc[0,Indice]-10,indices.loc[5,Indice]+10])
axes[4][1].set_ylim(-.5,2)

plt.show()

我也以这种方式完成了多个情节，每个情节都在不同的图中我想知道是否有一种方法可以将它们全部放入最后在数字之间变化的交互式情节中？

Answer 1

您在图下方看到的0 是自动生成的xlabel。您可以摆脱它，将其设置为空字符串：

axes[0][0].set_xlabel("")