3D Bar Chart

Network Bandwidth 3D

3D bar chart of network bandwidth usage across nodes and protocols

Output
Network Bandwidth 3D
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')

# Data: 5 protocols, 6 nodes
protocols = 5
nodes = 6
xpos = np.arange(protocols)
ypos = np.arange(nodes)
xpos, ypos = np.meshgrid(xpos, ypos)
xpos = xpos.flatten()
ypos = ypos.flatten()
zpos = np.zeros_like(xpos)

dx = dy = 0.65
np.random.seed(333)
dz = np.random.randint(20, 120, size=30)

# Deep purple to blue gradient
colors = plt.cm.colors.LinearSegmentedColormap.from_list('', ['#4927F5', '#27D3F5'])
bar_colors = [colors(v/max(dz)) 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('Protocol', fontsize=11, color='#1f2937', labelpad=10)
ax.set_ylabel('Node', fontsize=11, color='#1f2937', labelpad=10)
ax.set_zlabel('Bandwidth (Mbps)', fontsize=11, color='#1f2937', labelpad=10)
ax.set_title('Network Bandwidth by Protocol', fontsize=14, color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(range(5))
ax.set_xticklabels(['HTTP', 'FTP', 'SSH', 'DNS', 'SMTP'])
ax.set_yticks(range(6))
ax.set_yticklabels(['N1', 'N2', 'N3', 'N4', 'N5', 'N6'])
ax.tick_params(colors='#000000', labelsize=9)

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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