简体   繁体   English

如何使文本出现在 Matplotlib 中的 3barplot 之后

[英]How do I make the text appear after 3barplot in Matplotlib

Why doesn't zorder work in this case?为什么 zorder 在这种情况下不起作用? I've tried using it but the text still ends up being covered by the bar plot towers.我试过使用它,但文本最终仍被 plot 塔所覆盖。

import numpy as np
from matplotlib import pyplot as plt

Percentage_Differences_1 = np.array([ [7.94*(10**-10),7.94*(10**-9),7.94*(10**-8),7.94*(10**-7),7.94*(10**-6),7.94*(10**-5)],
                                [7.92*(10**-12),7.92*(10**-11),7.92*(10**-10),7.92*(10**-9),7.92*(10**-8),7.92*(10**-7)],
                                [7.72*(10**-14),7.72*(10**-13),7.72*(10**-12),7.72*(10**-11),7.72*(10**-10),7.72*(10**-9)],
                                [5.66*(10**-16),5.66*(10**-15),5.66*(10**-14),5.66*(10**-13),5.66*(10**-12),5.66*(10**-11)],
                                [1.49*(10**-17),1.49*(10**-16),1.49*(10**-15),1.49*(10**-14),1.49*(10**-13),1.49*(10**-12)],
                                [2.21*(10**-18),2.21*(10**-17),2.21*(10**-16),2.21*(10**-15),2.21*(10**-14),2.21*(10**-13)] ]) # Layer 1, 12

fig1 = plt.figure(dpi = 120, tight_layout = True)
fig1.set_size_inches(10, 7)

ax1 = fig1.add_subplot(111, projection='3d')

width = depth = 0.3

column_names = ['$10^{-6} m$','$10^{-5} m$','$10^{-4} m$','$10^{-3} m$','$10^{-2} m$','$10^{-1} m$']
row_names = ['$10^{-6} g$','$10^{-5} g$','$10^{-4} g$','$10^{-3} g$','$10^{-2} g$','$10^{-1} g$']
height_names = ['$10^{-2}$','$10^{-4}$','$10^{-6}$','$10^{-8}$','$10^{-10}$','$10^{-12}$','$10^{-14}$','$10^{-16}$','$10^{-18}$']

for x in range(0,6):
    for y in range(0,6):
        plot1 = ax1.bar3d(x, y, 0, width, depth, np.log10(Percentage_Differences_1[x][y]), color = "#0040bf", alpha=0.3, zorder = 1)
        txt1 = ax1.text(x,y,1.15*np.log10(Percentage_Differences_1[x][y]),'{:.2e}'.format(Percentage_Differences_1[y][x]), verticalalignment='top', bbox=dict(facecolor='grey', alpha=0.5), zorder = 2)
        
ax1.view_init(-140, -30)

ax1.set_xticks(np.linspace(0, 6, num = 6))
ax1.set_yticks(np.linspace(0, 6, num = 6))
ax1.set_xticklabels(column_names)
ax1.set_yticklabels(row_names)
ax1.set_zticklabels(height_names)
ax1.set_xlabel("Mass", labelpad = 13, rotation = 45)
ax1.set_ylabel("Radius", labelpad = 10, rotation = 45)
ax1.set_zlabel("Deviation $\Delta$")
ax1.set_title("1st Initial Condition: $r(0)$ and $r'(0)$ of $\Theta(12) = 2.18 \\times 10^{7} m$", pad = 40)

plt.show()

I've tried using both set_zorder and zorder but the plot still ends up covering the majority of the text labels.我试过同时使用 set_zorder 和 zorder,但 plot 仍然覆盖了大部分文本标签。

3d 条形图

Change your zorder for a number larger than the number of bar objects, 100 for example:zorder更改为大于条形对象数量的数字,例如 100: 在此处输入图像描述

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM