matplotlib畫3D圖修改X,Y,Z,colorbar的刻度值


修改X,Y,Z軸的刻度值

from matplotlib.ticker import MultipleLocator,FuncFormatter
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib import colors
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np
import matplotlib.ticker as ticker

def fun(x):
    if x >= 1:
        return 1
    return x

def to_percent(temp, position):
    return '%1.0f'%(100*temp)

x = np.arange(0, 0.5, 0.001)
y = np.arange(0, 0.05, 0.001)
x, y = np.meshgrid(x, y)
z = (3*x+y-x*x-np.sqrt(2*x*x*x-3*x*x*x*x+x*x+22*x*x*y-22*x*y-12*x*x*x*y-8*x*x*y*y+12*x*y*y-7*y*y))/(2*x+2*y)

for row in range(len(z)):
    for col in range(len(z[0])):
        z[row][col] = fun(z[row][col])

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.set_zlim3d(0.6,1.0)
ax.zaxis.set_major_locator(LinearLocator(5))#Z軸顯示5個刻度值

norm = colors.Normalize(vmin=0.6,vmax=1.0)
ax.xaxis.set_major_formatter(FuncFormatter(to_percent))#將X,Y,Z軸的坐標軸放大100倍
ax.yaxis.set_major_formatter(FuncFormatter(to_percent))
ax.zaxis.set_major_formatter(FuncFormatter(to_percent))

ax.set_xlabel(r'$\alpha$(%)')
ax.set_ylabel(r'$\theta$(%)')
ax.set_zlabel(r'$\gamma^{*}$(%)')#坐標軸

surf = ax.plot_surface(x, y, z,
                       cmap=cm.coolwarm,
                       linewidth=0,
                       norm=norm,
                       antialiased=False,
                       edgecolor='none')
ax.contourf(x,y,z,zdir='z',offset=-2,cmap='rainbow')

  

 

修改colorbar的刻度為百分的形式

def fmt(x,pos):
    print(x)
    # a, b = '{:2.2e}'.format(x).split('e')
    # b = int(b)
    return r'${}$%'.format(int(x*100))
cbar = plt.colorbar(surf,shrink=0.5, aspect=5,format=ticker.FuncFormatter(fmt))#format用來修改調色板的刻度值
cbar.set_ticks([.6,.7,.8,.9,1.0]) plt.tight_layout() 
plt.savefig('實驗圖.svg',dpi=600) #指定分辨率保存 
plt.show()  

 

未修改前 修改后
 

 

 

alpha:0.0-0.5

theta:0.00-0.05

gamma:0.60-1.00

colorbar:0.60-1.00

alpha:0:50(每個乘以100)

theta:0-5(每個乘以100)

gamma:60-100(每個乘以100)

colorbar:60%-100%(每個乘以100)

 

 

 

參考文獻:

【1】matplotlib 修改坐標軸刻度值,刻度個數

【2】解決python畫圖中colorbar設置刻度和標簽字體大小

【3】Matplotlib:給子圖添加colorbar(顏色條或漸變色條)


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