contour = ax.contour(X, Y, data) cbar = fig.colorbar(contour, ax=ax) cbar.set_ticks(np.linspace(0, 10, 10)) # Set 6 ticks from 0 to 10 (inclusive) # cbar.set_ticklabels([f'{i:.1f}' for i in np.linspace(0, 10, 10)]) # Set tick labels cbar.ax.set_ylim(0, 10)...
contour = ax.contour(X, Y, data) cbar = fig.colorbar(contour, ax=ax) cbar.set_ticks(np.linspace(0, 10, 10)) # Set 6 ticks from 0 to 10 (inclusive) # cbar.set_ticklabels([f'{i:.1f}' for i in np.linspace(0, 10, 10)]) # Set tick labels cbar.ax.set_ylim(0, 10)...
cbar = fig.colorbar(contour, ax=ax) cbar.set_ticks(np.linspace(0, 10, 10)) # Set 6 ticks from 0 to 10 (inclusive) # cbar.set_ticklabels([f'{i:.1f}' for i in np.linspace(0, 10, 10)]) # Set tick labels cbar.ax.set_ylim(0, 10) # Set the limits of the colorbar ...
10, .1)X,Y= np.meshgrid(x,y)data= 2*(np.sin(X) + np.sin(3*Y) )fig, ax = plt.subplots()contour= ax.contour(X,Y,data)cbar= fig.colorbar(contour, ax=ax)cbar.set_ticks(np.linspace(0,10,10)) #Set6ticks from0to10(inclusive)# cbar.set_ticklabels([f'{i:.1f}' for i...
contour = ax.contour(X, Y, data) cbar = fig.colorbar(contour, ax=ax) cbar.set_ticks(np.linspace(0, 10, 10)) # Set 6 ticks from 0 to 10 (inclusive) # cbar.set_ticklabels([f'{i:.1f}' for i in np.linspace(0, 10, 10)]) # Set tick labels ...
2.plt.contourf 与 plt.contour 区别: f:filled,也即对等高线间的填充区域进行填充(使用不同的颜色) contourf:将不会再绘制等高线(显然不同的颜色分界就表示等高线本身) 3.增加 colorbar 1 2 cb=plt.colorbar() cb.set_label('meters') 默认colorbar 是竖直放置,通过 orientation 关键字参数,可将其设置为水...
2.plt.contourf 与 plt.contour 区别: f:filled,也即对等高线间的填充区域进行填充(使用不同的颜色) contourf:将不会再绘制等高线(显然不同的颜色分界就表示等高线本身) 3.增加 colorbar cb=plt.colorbar()cb.set_label('meters') 1. 2. 默认colorbar 是竖直放置,通过 orientation 关键字参数,可将其设置为...
x=np.arange(0,10,.1)y=np.arange(0,10,.1)X,Y=np.meshgrid(x,y)data=2*(np.sin(X)+np.sin(3*Y))fig,ax=plt.subplots()contour=ax.contour(X,Y,data)cbar=fig.colorbar(contour,ax=ax)cbar.set_ticks(np.linspace(0,10,10))# Set6ticks from0to10(inclusive)# cbar.set_ticklabels...
contour = ax.contour(X, Y, data) cbar = fig.colorbar(contour, ax=ax) cbar.set_ticks(np.linspace(0, 10, 10))# Set 6 ticks from 0 to 10 (inclusive) # cbar.set_ticklabels([f'{i:.1f}' for i in np.linspace(0, 10, 10)]) # Set tick labels ...
2.plt.contourf 与 plt.contour 区别: f:filled,也即对等高线间的填充区域进行填充(使用不同的颜色) contourf:将不会再绘制等高线(显然不同的颜色分界就表示等高线本身) 3.增加 colorbar 1 2 cb=plt.colorbar() cb.set_label('meters') 默认colorbar 是竖直放置,通过 orientation 关键字参数,可将其设置为水...