Contour Plot

Airfoil Pressure Field

Aerodynamic pressure distribution around an airfoil showing flow patterns.

Output
Airfoil Pressure Field
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

# Create grid around airfoil
x = np.linspace(-2, 3, 300)
y = np.linspace(-1.5, 1.5, 200)
X, Y = np.meshgrid(x, y)

# Simplified potential flow
R, U = 0.5, 1.0
alpha = np.radians(5)
r = np.sqrt(X**2 + Y**2)

phi = U * (X * np.cos(alpha) + Y * np.sin(alpha))
phi += -U * R**2 * (X * np.cos(alpha) + Y * np.sin(alpha)) / (X**2 + Y**2 + 0.1)

v_sq = np.gradient(phi, x, axis=1)**2 + np.gradient(phi, y, axis=0)**2
Cp = 1 - v_sq / U**2
Cp = np.clip(Cp, -3, 1.5)

# Mask airfoil
mask = (X > -0.5) & (X < 1) & (np.abs(Y) < 0.15 * (1 - ((X - 0.25)/0.75)**2 + 0.01))
Cp[mask] = np.nan

# Aerospace dark theme
plt.style.use('dark_background')
fig, ax = plt.subplots(figsize=(12, 6))
fig.patch.set_facecolor('#08080f')
ax.set_facecolor('#08080f')

# Custom colormap - aerospace
colors = ['#0000aa', '#0033cc', '#0066ee', '#3399ff', '#66ccff', 
          '#ffffff', '#ffcc66', '#ff9933', '#ff6600', '#cc3300']
cmap = LinearSegmentedColormap.from_list('aero', colors, N=256)

# Filled contour
levels = np.linspace(-2, 1, 30)
cf = ax.contourf(X, Y, Cp, levels=levels, cmap=cmap, extend='both')

# Contour lines
cs = ax.contour(X, Y, Cp, levels=12, colors='white', linewidths=0.3, alpha=0.3)

# Airfoil shape
airfoil_x = np.linspace(-0.5, 1, 100)
airfoil_upper = 0.15 * (1 - ((airfoil_x - 0.25)/0.75)**2)
airfoil_lower = -0.12 * (1 - ((airfoil_x - 0.25)/0.75)**2)
ax.fill_between(airfoil_x, airfoil_lower, airfoil_upper, color='#1a1a2a', 
                edgecolor='#66aaff', linewidth=2.5)

# Styled colorbar
cbar = plt.colorbar(cf, ax=ax, pad=0.02, shrink=0.85)
cbar.ax.set_facecolor('#08080f')
cbar.set_label('Pressure Coefficient (Cp)', fontsize=11, color='#c0d0ff', labelpad=10)
cbar.ax.yaxis.set_tick_params(color='#c0d0ff')
cbar.outline.set_edgecolor('#2a2a4a')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#c0d0ff', fontsize=9)

# Labels
ax.set_xlabel('x/c', fontsize=13, color='#c0d0ff', fontweight='600', labelpad=10)
ax.set_ylabel('y/c', fontsize=13, color='#c0d0ff', fontweight='600', labelpad=10)
ax.set_title('Airfoil Pressure Distribution', fontsize=16, color='white', 
             fontweight='bold', pad=20)

# Style axes
ax.tick_params(colors='#90a0c0', labelsize=10, length=0)
for spine in ax.spines.values():
    spine.set_visible(False)

ax.set_aspect('equal')
ax.set_xlim(-1.5, 2.5)
ax.set_ylim(-1, 1)
plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Pairwise Data

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