Hi all.
is it not possible to extend plot outside of a plot area? To
illustrate what I want
to do take for example the wind barbs example from the matplotlib
gallery.
(see below)
I only changed line 23 from ax.barbs(X, Y, U, V) to ax.barbs(X, Y, -
U, -V)
But now we don't see the tail of the barbs in the first subplot.
So Is it possible to let matplotlib plot the tail, without extending
the axes?
Best Regards
Einar M. Einarsson
'''
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)
plt.show()
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