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# Barb DemoΒΆ

Demonstration of wind barb plots

```import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(-5, 5, 5)
X, Y = np.meshgrid(x, x)
U, V = 12 * X, 12 * Y

data = [(-1.5, .5, -6, -6),
(1, -1, -46, 46),
(-3, -1, 11, -11),
(1, 1.5, 80, 80),
(0.5, 0.25, 25, 15),
(-1.5, -0.5, -5, 40)]

data = np.array(data, dtype=[('x', np.float32), ('y', np.float32),
('u', np.float32), ('v', np.float32)])

# Default parameters, uniform grid
ax = plt.subplot(2, 2, 1)
ax.barbs(X, Y, U, V)

# Arbitrary set of vectors, make them longer and change the pivot point
# (point around which they're rotated) to be the middle
ax = plt.subplot(2, 2, 2)
ax.barbs(data['x'], data['y'], data['u'], data['v'], length=8, pivot='middle')

# Showing colormapping with uniform grid.  Fill the circle for an empty barb,
# don't round the values, and change some of the size parameters
ax = plt.subplot(2, 2, 3)
ax.barbs(X, Y, U, V, np.sqrt(U * U + V * V), fill_empty=True, rounding=False,
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))

# Change colors as well as the increments for parts of the barbs
ax = plt.subplot(2, 2, 4)
ax.barbs(data['x'], data['y'], data['u'], data['v'], flagcolor='r',
barbcolor=['b', 'g'],
barb_increments=dict(half=10, full=20, flag=100), flip_barb=True)

# Masked arrays are also supported

# Identical plot to panel 2 in the first figure, but with the point at
fig2 = plt.figure()
ax.barbs(data['x'], data['y'], masked_u, data['v'], length=8, pivot='middle')

plt.show()
```

Total running time of the script: ( 0 minutes 0.089 seconds)

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