def ezquiver(
func,
domain=np.array([0, 1, 0, 1]).reshape(1, -1),
resolution=np.array([30, 29]).reshape(1, -1),
ax=None,
*args,
**kwargs
):
"""Vectorized quiver for functions with vector args.
@param func: function handle
@param domain: rectangular plotting domain
= [xmin, xmax, ymin, ymax]
@param resolution: grid spacing
= [nx, ny]
@param ax: axes object handle
@param args: positional arguments forwarded to func
@param kwargs: key-value args for func
"""
if ax is None:
ax = newax()
q = domain2vec(domain, resolution)
v = feval(func, q, **kwargs)
quiver(ax, q, v)
def contour(q, z, res, ax=None, **kwargs):
"""Vectorized wrapper for contour plot.
@param q: coordinates of contour points
@type q: [2 x #points]
@param z: row vector of scalar function
@type z: [1 x #points]
@param res: resolution of contour
@type res: [nx, ny]
@param ax: axes object handle
@param kwargs: passed to contour function as given, see its help
@return: h = handle to contour object created.
"""
if ax is None:
ax = newax()
# multiple axes ?
try:
contours = []
for curax in ax:
cont = contour(curax, q, z, res, **kwargs)
contours.append(cont)
return contours
except:
pass
# enough dimensions ?
ndim = q.shape[0]
if ndim < 2:
raise Exception("space dim = q.shape[0] = 1.")
res = res2meshsize(res)
# Z ?
if z is None:
z = np.zeros(1, q.shape[1])
elif z is np.NaN:
z = 5 * np.random.rand(1, q.shape[1])
else:
z = z * np.ones([1, q.shape[1]])
X, Y = vec2meshgrid(q, res) # nargout=2
Z, = vec2meshgrid(z, res)
# calc
if ndim < 3:
cont = ax.contour(X, Y, Z, 100, **kwargs)
else:
raise Exception("Dimension of vector q is not 2.")
return cont
def surf(q, z, resolution, ax=None, **kwargs):
"""Vectorized surf.
Vectorized wrapper for the surf function.
When q is 2-dimensional, then z is the height function.
When q is 3-dimensional, then z is the color function of the surface.
see also
mpl.plot_surface, vec2meshgrid
@param ax: axes object handle
@param q: coordinates of surface points
= [2 x #points] |
= [3 x #points], when color data are provided in vector z
@param z: row vector of height or color data for surface points
@type z: [1 x #points] | [], depending on the cases:
1) when size(q, 1) == 2, then z is assumed to be the values of a
scalar function to be plotted over the 2-dimensional domain defined
by the points in the matrix of column position vectors q.
2) when size(q, 1) == 3, then q are the coordinates of the points in
3-dimensional space, whereas z is assumed to be the row vector
specifying the surface color at each point.
special cases:
- [] (0 color)
- NaN (random colors)
- scalar (uniform color)
- 'scaled' (scaled colors indexed in colormap)
@param resolution: resolution of surface
@type resolution: [nx, ny] | [nx, ny, nz]
@return: surface object created.
"""
# depends
# vec2meshgrid, res2meshsize
if ax is None:
ax = newax()
# multiple axes ?
try:
surfaces = []
for curax in ax:
surface = surf(curax, q, z, resolution, **kwargs)
surfaces.append(surface)
return surfaces
except:
pass
# enough dimensions for surf ?
ndim = q.shape[0]
if ndim < 2:
raise Exception("space dim = q.shape[0] = 1.")
resolution = res2meshsize(resolution)
# Z ?
if z is None:
z = np.zeros(1, q.shape[1])
elif z is np.NaN:
z = 5 * np.random.rand(1, q.shape[1])
elif z == "scaled":
z = np.array([])
else:
z = z * np.ones([1, q.shape[1]])
# calc
if ndim < 3:
surface = surf2(q, z, resolution, ax, **kwargs)
else:
surface = surf_color(q, z, resolution, ax, **kwargs)
return surface
