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import platform
import sys
import numpy as np
import pytest
from matplotlib import pyplot as plt
from matplotlib.testing.decorators import image_comparison
from matplotlib.testing.decorators import check_figures_equal
def draw_quiver(ax, **kwargs):
X, Y = np.meshgrid(np.arange(0, 2 * np.pi, 1),
np.arange(0, 2 * np.pi, 1))
U = np.cos(X)
V = np.sin(Y)
Q = ax.quiver(U, V, **kwargs)
return Q
@pytest.mark.skipif(platform.python_implementation() != 'CPython',
reason='Requires CPython')
def test_quiver_memory_leak():
fig, ax = plt.subplots()
Q = draw_quiver(ax)
ttX = Q.X
orig_refcount = sys.getrefcount(ttX)
Q.remove()
del Q
assert sys.getrefcount(ttX) < orig_refcount
@pytest.mark.skipif(platform.python_implementation() != 'CPython',
reason='Requires CPython')
def test_quiver_key_memory_leak():
fig, ax = plt.subplots()
Q = draw_quiver(ax)
qk = ax.quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$',
labelpos='W',
fontproperties={'weight': 'bold'})
orig_refcount = sys.getrefcount(qk)
qk.remove()
assert sys.getrefcount(qk) < orig_refcount
def test_quiver_number_of_args():
X = [1, 2]
with pytest.raises(
TypeError,
match='takes from 2 to 5 positional arguments but 1 were given'):
plt.quiver(X)
with pytest.raises(
TypeError,
match='takes from 2 to 5 positional arguments but 6 were given'):
plt.quiver(X, X, X, X, X, X)
def test_quiver_arg_sizes():
X2 = [1, 2]
X3 = [1, 2, 3]
with pytest.raises(
ValueError, match=('X and Y must be the same size, but '
'X.size is 2 and Y.size is 3.')):
plt.quiver(X2, X3, X2, X2)
with pytest.raises(
ValueError, match=('Argument U has a size 3 which does not match '
'2, the number of arrow positions')):
plt.quiver(X2, X2, X3, X2)
with pytest.raises(
ValueError, match=('Argument V has a size 3 which does not match '
'2, the number of arrow positions')):
plt.quiver(X2, X2, X2, X3)
with pytest.raises(
ValueError, match=('Argument C has a size 3 which does not match '
'2, the number of arrow positions')):
plt.quiver(X2, X2, X2, X2, X3)
def test_no_warnings():
fig, ax = plt.subplots()
X, Y = np.meshgrid(np.arange(15), np.arange(10))
U = V = np.ones_like(X)
phi = (np.random.rand(15, 10) - .5) * 150
ax.quiver(X, Y, U, V, angles=phi)
fig.canvas.draw() # Check that no warning is emitted.
def test_zero_headlength():
# Based on report by Doug McNeil:
# https://discourse.matplotlib.org/t/quiver-warnings/16722
fig, ax = plt.subplots()
X, Y = np.meshgrid(np.arange(10), np.arange(10))
U, V = np.cos(X), np.sin(Y)
ax.quiver(U, V, headlength=0, headaxislength=0)
fig.canvas.draw() # Check that no warning is emitted.
@image_comparison(['quiver_animated_test_image.png'])
def test_quiver_animate():
# Tests fix for #2616
fig, ax = plt.subplots()
Q = draw_quiver(ax, animated=True)
ax.quiverkey(Q, 0.5, 0.92, 2, r'$2 \frac{m}{s}$',
labelpos='W', fontproperties={'weight': 'bold'})
@image_comparison(['quiver_with_key_test_image.png'])
def test_quiver_with_key():
fig, ax = plt.subplots()
ax.margins(0.1)
Q = draw_quiver(ax)
ax.quiverkey(Q, 0.5, 0.95, 2,
r'$2\, \mathrm{m}\, \mathrm{s}^{-1}$',
angle=-10,
coordinates='figure',
labelpos='W',
fontproperties={'weight': 'bold', 'size': 'large'})
@image_comparison(['quiver_single_test_image.png'], remove_text=True)
def test_quiver_single():
fig, ax = plt.subplots()
ax.margins(0.1)
ax.quiver([1], [1], [2], [2])
def test_quiver_copy():
fig, ax = plt.subplots()
uv = dict(u=np.array([1.1]), v=np.array([2.0]))
q0 = ax.quiver([1], [1], uv['u'], uv['v'])
uv['v'][0] = 0
assert q0.V[0] == 2.0
@image_comparison(['quiver_key_pivot.png'], remove_text=True)
def test_quiver_key_pivot():
fig, ax = plt.subplots()
u, v = np.mgrid[0:2*np.pi:10j, 0:2*np.pi:10j]
q = ax.quiver(np.sin(u), np.cos(v))
ax.set_xlim(-2, 11)
ax.set_ylim(-2, 11)
ax.quiverkey(q, 0.5, 1, 1, 'N', labelpos='N')
ax.quiverkey(q, 1, 0.5, 1, 'E', labelpos='E')
ax.quiverkey(q, 0.5, 0, 1, 'S', labelpos='S')
ax.quiverkey(q, 0, 0.5, 1, 'W', labelpos='W')
@image_comparison(['quiver_key_xy.png'], remove_text=True)
def test_quiver_key_xy():
# With scale_units='xy', ensure quiverkey still matches its quiver.
# Note that the quiver and quiverkey lengths depend on the axes aspect
# ratio, and that with angles='xy' their angles also depend on the axes
# aspect ratio.
X = np.arange(8)
Y = np.zeros(8)
angles = X * (np.pi / 4)
uv = np.exp(1j * angles)
U = uv.real
V = uv.imag
fig, axs = plt.subplots(2)
for ax, angle_str in zip(axs, ('uv', 'xy')):
ax.set_xlim(-1, 8)
ax.set_ylim(-0.2, 0.2)
q = ax.quiver(X, Y, U, V, pivot='middle',
units='xy', width=0.05,
scale=2, scale_units='xy',
angles=angle_str)
for x, angle in zip((0.2, 0.5, 0.8), (0, 45, 90)):
ax.quiverkey(q, X=x, Y=0.8, U=1, angle=angle, label='', color='b')
@image_comparison(['barbs_test_image.png'], remove_text=True)
def test_barbs():
x = np.linspace(-5, 5, 5)
X, Y = np.meshgrid(x, x)
U, V = 12*X, 12*Y
fig, ax = plt.subplots()
ax.barbs(X, Y, U, V, np.hypot(U, V), fill_empty=True, rounding=False,
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3),
cmap='viridis')
@image_comparison(['barbs_pivot_test_image.png'], remove_text=True)
def test_barbs_pivot():
x = np.linspace(-5, 5, 5)
X, Y = np.meshgrid(x, x)
U, V = 12*X, 12*Y
fig, ax = plt.subplots()
ax.barbs(X, Y, U, V, fill_empty=True, rounding=False, pivot=1.7,
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3))
ax.scatter(X, Y, s=49, c='black')
@image_comparison(['barbs_test_flip.png'], remove_text=True)
def test_barbs_flip():
"""Test barbs with an array for flip_barb."""
x = np.linspace(-5, 5, 5)
X, Y = np.meshgrid(x, x)
U, V = 12*X, 12*Y
fig, ax = plt.subplots()
ax.barbs(X, Y, U, V, fill_empty=True, rounding=False, pivot=1.7,
sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3),
flip_barb=Y < 0)
def test_barb_copy():
fig, ax = plt.subplots()
u = np.array([1.1])
v = np.array([2.2])
b0 = ax.barbs([1], [1], u, v)
u[0] = 0
assert b0.u[0] == 1.1
v[0] = 0
assert b0.v[0] == 2.2
def test_bad_masked_sizes():
"""Test error handling when given differing sized masked arrays."""
x = np.arange(3)
y = np.arange(3)
u = np.ma.array(15. * np.ones((4,)))
v = np.ma.array(15. * np.ones_like(u))
u[1] = np.ma.masked
v[1] = np.ma.masked
fig, ax = plt.subplots()
with pytest.raises(ValueError):
ax.barbs(x, y, u, v)
def test_angles_and_scale():
# angles array + scale_units kwarg
fig, ax = plt.subplots()
X, Y = np.meshgrid(np.arange(15), np.arange(10))
U = V = np.ones_like(X)
phi = (np.random.rand(15, 10) - .5) * 150
ax.quiver(X, Y, U, V, angles=phi, scale_units='xy')
@image_comparison(['quiver_xy.png'], remove_text=True)
def test_quiver_xy():
# simple arrow pointing from SW to NE
fig, ax = plt.subplots(subplot_kw=dict(aspect='equal'))
ax.quiver(0, 0, 1, 1, angles='xy', scale_units='xy', scale=1)
ax.set_xlim(0, 1.1)
ax.set_ylim(0, 1.1)
ax.grid()
def test_quiverkey_angles():
# Check that only a single arrow is plotted for a quiverkey when an array
# of angles is given to the original quiver plot
fig, ax = plt.subplots()
X, Y = np.meshgrid(np.arange(2), np.arange(2))
U = V = angles = np.ones_like(X)
q = ax.quiver(X, Y, U, V, angles=angles)
qk = ax.quiverkey(q, 1, 1, 2, 'Label')
# The arrows are only created when the key is drawn
fig.canvas.draw()
assert len(qk.verts) == 1
def test_quiverkey_angles_xy_aitoff():
# GH 26316 and GH 26748
# Test that only one arrow will be plotted with non-cartesian
# when angles='xy' and/or scale_units='xy'
# only for test purpose
# scale_units='xy' may not be a valid use case for non-cartesian
kwargs_list = [
{'angles': 'xy'},
{'angles': 'xy', 'scale_units': 'xy'},
{'scale_units': 'xy'}
]
for kwargs_dict in kwargs_list:
x = np.linspace(-np.pi, np.pi, 11)
y = np.ones_like(x) * np.pi / 6
vx = np.zeros_like(x)
vy = np.ones_like(x)
fig = plt.figure()
ax = fig.add_subplot(projection='aitoff')
q = ax.quiver(x, y, vx, vy, **kwargs_dict)
qk = ax.quiverkey(q, 0, 0, 1, '1 units')
fig.canvas.draw()
assert len(qk.verts) == 1
def test_quiverkey_angles_scale_units_cartesian():
# GH 26316
# Test that only one arrow will be plotted with normal cartesian
# when angles='xy' and/or scale_units='xy'
kwargs_list = [
{'angles': 'xy'},
{'angles': 'xy', 'scale_units': 'xy'},
{'scale_units': 'xy'}
]
for kwargs_dict in kwargs_list:
X = [0, -1, 0]
Y = [0, -1, 0]
U = [1, -1, 1]
V = [1, -1, 0]
fig, ax = plt.subplots()
q = ax.quiver(X, Y, U, V, **kwargs_dict)
ax.quiverkey(q, X=0.3, Y=1.1, U=1,
label='Quiver key, length = 1', labelpos='E')
qk = ax.quiverkey(q, 0, 0, 1, '1 units')
fig.canvas.draw()
assert len(qk.verts) == 1
def test_quiver_setuvc_numbers():
"""Check that it is possible to set all arrow UVC to the same numbers"""
fig, ax = plt.subplots()
X, Y = np.meshgrid(np.arange(2), np.arange(2))
U = V = np.ones_like(X)
q = ax.quiver(X, Y, U, V)
q.set_UVC(0, 1)
def draw_quiverkey_zorder_argument(fig, zorder=None):
"""Draw Quiver and QuiverKey using zorder argument"""
x = np.arange(1, 6, 1)
y = np.arange(1, 6, 1)
X, Y = np.meshgrid(x, y)
U, V = 2, 2
ax = fig.subplots()
q = ax.quiver(X, Y, U, V, pivot='middle')
ax.set_xlim(0.5, 5.5)
ax.set_ylim(0.5, 5.5)
if zorder is None:
ax.quiverkey(q, 4, 4, 25, coordinates='data',
label='U', color='blue')
ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
label='V', color='blue', angle=90)
else:
ax.quiverkey(q, 4, 4, 25, coordinates='data',
label='U', color='blue', zorder=zorder)
ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
label='V', color='blue', angle=90, zorder=zorder)
def draw_quiverkey_setzorder(fig, zorder=None):
"""Draw Quiver and QuiverKey using set_zorder"""
x = np.arange(1, 6, 1)
y = np.arange(1, 6, 1)
X, Y = np.meshgrid(x, y)
U, V = 2, 2
ax = fig.subplots()
q = ax.quiver(X, Y, U, V, pivot='middle')
ax.set_xlim(0.5, 5.5)
ax.set_ylim(0.5, 5.5)
qk1 = ax.quiverkey(q, 4, 4, 25, coordinates='data',
label='U', color='blue')
qk2 = ax.quiverkey(q, 5.5, 2, 20, coordinates='data',
label='V', color='blue', angle=90)
if zorder is not None:
qk1.set_zorder(zorder)
qk2.set_zorder(zorder)
@pytest.mark.parametrize('zorder', [0, 2, 5, None])
@check_figures_equal(extensions=['png'])
def test_quiverkey_zorder(fig_test, fig_ref, zorder):
draw_quiverkey_zorder_argument(fig_test, zorder=zorder)
draw_quiverkey_setzorder(fig_ref, zorder=zorder)
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