Website Traffic Flow

import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
from matplotlib.path import Path

def draw_flow(ax, x0, y0, x1, y1, w0, w1, color, alpha=0.6):
    cx = (x0 + x1) / 2
    verts = [
        (x0, y0 + w0/2), (cx, y0 + w0/2), (cx, y1 + w1/2), (x1, y1 + w1/2),
        (x1, y1 - w1/2), (cx, y1 - w1/2), (cx, y0 - w0/2), (x0, y0 - w0/2),
        (x0, y0 + w0/2)
    ]
    codes = [Path.MOVETO] + [Path.CURVE4]*3 + [Path.LINETO] + [Path.CURVE4]*3 + [Path.CLOSEPOLY]
    ax.add_patch(mpatches.PathPatch(Path(verts, codes), fc=color, alpha=alpha, ec='none'))

def draw_node(ax, x, y, w, h, color, label):
    ax.add_patch(mpatches.FancyBboxPatch((x-w/2, y-h/2), w, h, boxstyle="round,pad=0.02",
                                          fc=color, ec='white', lw=1.5))
    ax.text(x, y, label, ha='center', va='center', fontsize=8, color='white', fontweight='bold')

fig, ax = plt.subplots(figsize=(14, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

s = 0.0006

# Source flows to Landing
draw_flow(ax, 0.5, 7, 2.5, 5.5, 5000*s, 5000*s, '#F5276C', 0.7)
draw_flow(ax, 0.5, 4, 2.5, 4.5, 3000*s, 3000*s, '#4927F5', 0.7)
draw_flow(ax, 0.5, 2, 2.5, 3.5, 2000*s, 2000*s, '#27D3F5', 0.7)

# Landing to outcomes
draw_flow(ax, 3.5, 5.5, 5.5, 7, 4000*s, 4000*s, '#C82909', 0.7)  # Bounce
draw_flow(ax, 3.5, 4, 5.5, 4, 6000*s, 6000*s, '#6CF527', 0.7)   # Engaged

# Engaged to conversions
draw_flow(ax, 6.5, 4.5, 8.5, 6, 2000*s, 2000*s, '#F5B027', 0.7)  # Browse
draw_flow(ax, 6.5, 3.5, 8.5, 3, 4000*s, 4000*s, '#27F5B0', 0.7)  # Convert

# Nodes
draw_node(ax, 0, 7, 0.6, 5000*s*1.5, '#F5276C', 'Organic\n5K')
draw_node(ax, 0, 4, 0.6, 3000*s*1.5, '#4927F5', 'Paid Ads\n3K')
draw_node(ax, 0, 2, 0.6, 2000*s*1.5, '#27D3F5', 'Social\n2K')
draw_node(ax, 3, 5, 0.6, 10000*s*1.2, '#F5B027', 'Landing\n10K')
draw_node(ax, 6, 7, 0.6, 4000*s*1.5, '#C82909', 'Bounced\n4K')
draw_node(ax, 6, 4, 0.6, 6000*s*1.3, '#6CF527', 'Engaged\n6K')
draw_node(ax, 9, 6, 0.6, 2000*s*1.5, '#F5B027', 'Browse\n2K')
draw_node(ax, 9, 3, 0.6, 4000*s*1.3, '#27F5B0', 'Convert\n4K')

ax.set_title('Website Traffic Flow Analysis', fontsize=16, color='white', fontweight='bold', pad=20)
ax.set_xlim(-1, 10)
ax.set_ylim(0, 9)
ax.axis('off')
plt.tight_layout()
plt.show()