3D Bar Chart

Student Performance Grid

3D bar chart of student scores by subject and grade level

Output
Student Performance Grid
Python
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

fig = plt.figure(figsize=(12, 8), facecolor='white')
ax = fig.add_subplot(111, projection='3d')
ax.set_facecolor('white')

subjects = 5
grades = 4
xpos = np.arange(subjects)
ypos = np.arange(grades)
xpos, ypos = np.meshgrid(xpos, ypos)
xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros_like(xpos)

dx = dy = 0.6
np.random.seed(404)
dz = np.random.randint(65, 95, size=20)

colors = plt.cm.colors.LinearSegmentedColormap.from_list('', ['#F54927', '#F5D327', '#6CF527'])
bar_colors = [colors((v-65)/30) for v in dz]

ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color=bar_colors, alpha=0.9, edgecolor='#000000', linewidth=0.3)

ax.set_xlabel('Subject', fontsize=11, color='#1f2937', labelpad=10)
ax.set_ylabel('Grade', fontsize=11, color='#1f2937', labelpad=10)
ax.set_zlabel('Avg Score', fontsize=11, color='#1f2937', labelpad=10)
ax.set_title('Student Performance by Subject', fontsize=14, color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(range(5))
ax.set_xticklabels(['Math', 'Science', 'English', 'History', 'Art'], fontsize=8)
ax.set_yticks(range(4))
ax.set_yticklabels(['9th', '10th', '11th', '12th'])
ax.tick_params(colors='#000000', labelsize=9)

ax.set_zlim(0, 100)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#000000')
ax.yaxis.pane.set_edgecolor('#000000')
ax.zaxis.pane.set_edgecolor('#000000')
ax.grid(True, alpha=0.5, linewidth=0.5)
ax.xaxis._axinfo['grid']['color'] = '#000000'
ax.yaxis._axinfo['grid']['color'] = '#000000'
ax.zaxis._axinfo['grid']['color'] = '#000000'
ax.xaxis._axinfo['tick']['color'] = '#000000'
ax.yaxis._axinfo['tick']['color'] = '#000000'
ax.zaxis._axinfo['tick']['color'] = '#000000'

ax.xaxis.line.set_color('#000000')
ax.yaxis.line.set_color('#000000')
ax.zaxis.line.set_color('#000000')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

3D Charts

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