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Pracownia_programowania/venv/Lib/site-packages/matplotlib/quiver.py

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2020-02-01 19:54:00 +01:00
"""
Support for plotting vector fields.
Presently this contains Quiver and Barb. Quiver plots an arrow in the
direction of the vector, with the size of the arrow related to the
magnitude of the vector.
Barbs are like quiver in that they point along a vector, but
the magnitude of the vector is given schematically by the presence of barbs
or flags on the barb.
This will also become a home for things such as standard
deviation ellipses, which can and will be derived very easily from
the Quiver code.
"""
import math
import weakref
import numpy as np
from numpy import ma
from matplotlib import cbook, docstring, font_manager
import matplotlib.artist as martist
import matplotlib.collections as mcollections
from matplotlib.patches import CirclePolygon
import matplotlib.text as mtext
import matplotlib.transforms as transforms
_quiver_doc = """
Plot a 2D field of arrows.
Call signature::
quiver([X, Y], U, V, [C], **kw)
Where *X*, *Y* define the arrow locations, *U*, *V* define the arrow
directions, and *C* optionally sets the color.
**Arrow size**
The default settings auto-scales the length of the arrows to a reasonable size.
To change this behavior see the *scale* and *scale_units* parameters.
**Arrow shape**
The defaults give a slightly swept-back arrow; to make the head a
triangle, make *headaxislength* the same as *headlength*. To make the
arrow more pointed, reduce *headwidth* or increase *headlength* and
*headaxislength*. To make the head smaller relative to the shaft,
scale down all the head parameters. You will probably do best to leave
minshaft alone.
**Arrow outline**
*linewidths* and *edgecolors* can be used to customize the arrow
outlines.
Parameters
----------
X, Y : 1D or 2D array-like, optional
The x and y coordinates of the arrow locations.
If not given, they will be generated as a uniform integer meshgrid based
on the dimensions of *U* and *V*.
If *X* and *Y* are 1D but *U*, *V* are 2D, *X*, *Y* are expanded to 2D
using ``X, Y = np.meshgrid(X, Y)``. In this case ``len(X)`` and ``len(Y)``
must match the column and row dimensions of *U* and *V*.
U, V : 1D or 2D array-like
The x and y direction components of the arrow vectors.
C : 1D or 2D array-like, optional
Numeric data that defines the arrow colors by colormapping via *norm* and
*cmap*.
This does not support explicit colors. If you want to set colors directly,
use *color* instead.
units : {'width', 'height', 'dots', 'inches', 'x', 'y' 'xy'}, default: 'width'
The arrow dimensions (except for *length*) are measured in multiples of
this unit.
The following values are supported:
- 'width', 'height': The width or height of the axis.
- 'dots', 'inches': Pixels or inches based on the figure dpi.
- 'x', 'y', 'xy': *X*, *Y* or :math:`\\sqrt{X^2 + Y^2}` in data units.
The arrows scale differently depending on the units. For
'x' or 'y', the arrows get larger as one zooms in; for other
units, the arrow size is independent of the zoom state. For
'width or 'height', the arrow size increases with the width and
height of the axes, respectively, when the window is resized;
for 'dots' or 'inches', resizing does not change the arrows.
angles : {'uv', 'xy'} or array-like, optional, default: 'uv'
Method for determining the angle of the arrows.
- 'uv': The arrow axis aspect ratio is 1 so that
if *U* == *V* the orientation of the arrow on the plot is 45 degrees
counter-clockwise from the horizontal axis (positive to the right).
Use this if the arrows symbolize a quantity that is not based on
*X*, *Y* data coordinates.
- 'xy': Arrows point from (x,y) to (x+u, y+v).
Use this for plotting a gradient field, for example.
- Alternatively, arbitrary angles may be specified explicitly as an array
of values in degrees, counter-clockwise from the horizontal axis.
In this case *U*, *V* is only used to determine the length of the
arrows.
Note: inverting a data axis will correspondingly invert the
arrows only with ``angles='xy'``.
scale : float, optional
Number of data units per arrow length unit, e.g., m/s per plot width; a
smaller scale parameter makes the arrow longer. Default is *None*.
If *None*, a simple autoscaling algorithm is used, based on the average
vector length and the number of vectors. The arrow length unit is given by
the *scale_units* parameter.
scale_units : {'width', 'height', 'dots', 'inches', 'x', 'y', 'xy'}, optional
If the *scale* kwarg is *None*, the arrow length unit. Default is *None*.
e.g. *scale_units* is 'inches', *scale* is 2.0, and
``(u,v) = (1,0)``, then the vector will be 0.5 inches long.
If *scale_units* is 'width' or 'height', then the vector will be half the
width/height of the axes.
If *scale_units* is 'x' then the vector will be 0.5 x-axis
units. To plot vectors in the x-y plane, with u and v having
the same units as x and y, use
``angles='xy', scale_units='xy', scale=1``.
width : float, optional
Shaft width in arrow units; default depends on choice of units,
above, and number of vectors; a typical starting value is about
0.005 times the width of the plot.
headwidth : float, optional, default: 3
Head width as multiple of shaft width.
headlength : float, optional, default: 5
Head length as multiple of shaft width.
headaxislength : float, optional, default: 4.5
Head length at shaft intersection.
minshaft : float, optional, default: 1
Length below which arrow scales, in units of head length. Do not
set this to less than 1, or small arrows will look terrible!
minlength : float, optional, default: 1
Minimum length as a multiple of shaft width; if an arrow length
is less than this, plot a dot (hexagon) of this diameter instead.
pivot : {'tail', 'mid', 'middle', 'tip'}, optional, default: 'tail'
The part of the arrow that is anchored to the *X*, *Y* grid. The arrow
rotates about this point.
'mid' is a synonym for 'middle'.
color : color or color sequence, optional
Explicit color(s) for the arrows. If *C* has been set, *color* has no
effect.
This is a synonym for the `~.PolyCollection` *facecolor* parameter.
Other Parameters
----------------
**kwargs : `~matplotlib.collections.PolyCollection` properties, optional
All other keyword arguments are passed on to `.PolyCollection`:
%(PolyCollection)s
See Also
--------
quiverkey : Add a key to a quiver plot.
""" % docstring.interpd.params
_quiverkey_doc = """
Add a key to a quiver plot.
Call signature::
quiverkey(Q, X, Y, U, label, **kw)
Arguments:
*Q*:
The Quiver instance returned by a call to quiver.
*X*, *Y*:
The location of the key; additional explanation follows.
*U*:
The length of the key
*label*:
A string with the length and units of the key
Keyword arguments:
*angle* = 0
The angle of the key arrow. Measured in degrees anti-clockwise from the
x-axis.
*coordinates* = [ 'axes' | 'figure' | 'data' | 'inches' ]
Coordinate system and units for *X*, *Y*: 'axes' and 'figure' are
normalized coordinate systems with 0,0 in the lower left and 1,1
in the upper right; 'data' are the axes data coordinates (used for
the locations of the vectors in the quiver plot itself); 'inches'
is position in the figure in inches, with 0,0 at the lower left
corner.
*color*:
overrides face and edge colors from *Q*.
*labelpos* = [ 'N' | 'S' | 'E' | 'W' ]
Position the label above, below, to the right, to the left of the
arrow, respectively.
*labelsep*:
Distance in inches between the arrow and the label. Default is
0.1
*labelcolor*:
defaults to default :class:`~matplotlib.text.Text` color.
*fontproperties*:
A dictionary with keyword arguments accepted by the
:class:`~matplotlib.font_manager.FontProperties` initializer:
*family*, *style*, *variant*, *size*, *weight*
Any additional keyword arguments are used to override vector
properties taken from *Q*.
The positioning of the key depends on *X*, *Y*, *coordinates*, and
*labelpos*. If *labelpos* is 'N' or 'S', *X*, *Y* give the position
of the middle of the key arrow. If *labelpos* is 'E', *X*, *Y*
positions the head, and if *labelpos* is 'W', *X*, *Y* positions the
tail; in either of these two cases, *X*, *Y* is somewhere in the
middle of the arrow+label key object.
"""
class QuiverKey(martist.Artist):
""" Labelled arrow for use as a quiver plot scale key."""
halign = {'N': 'center', 'S': 'center', 'E': 'left', 'W': 'right'}
valign = {'N': 'bottom', 'S': 'top', 'E': 'center', 'W': 'center'}
pivot = {'N': 'middle', 'S': 'middle', 'E': 'tip', 'W': 'tail'}
def __init__(self, Q, X, Y, U, label,
*, angle=0, coordinates='axes', color=None, labelsep=0.1,
labelpos='N', labelcolor=None, fontproperties=None,
**kw):
martist.Artist.__init__(self)
self.Q = Q
self.X = X
self.Y = Y
self.U = U
self.angle = angle
self.coord = coordinates
self.color = color
self.label = label
self._labelsep_inches = labelsep
self.labelsep = (self._labelsep_inches * Q.ax.figure.dpi)
# try to prevent closure over the real self
weak_self = weakref.ref(self)
def on_dpi_change(fig):
self_weakref = weak_self()
if self_weakref is not None:
self_weakref.labelsep = (self_weakref._labelsep_inches*fig.dpi)
self_weakref._initialized = False # simple brute force update
# works because _init is
# called at the start of
# draw.
self._cid = Q.ax.figure.callbacks.connect('dpi_changed',
on_dpi_change)
self.labelpos = labelpos
self.labelcolor = labelcolor
self.fontproperties = fontproperties or dict()
self.kw = kw
_fp = self.fontproperties
# boxprops = dict(facecolor='red')
self.text = mtext.Text(
text=label, # bbox=boxprops,
horizontalalignment=self.halign[self.labelpos],
verticalalignment=self.valign[self.labelpos],
fontproperties=font_manager.FontProperties(**_fp))
if self.labelcolor is not None:
self.text.set_color(self.labelcolor)
self._initialized = False
self.zorder = Q.zorder + 0.1
def remove(self):
"""
Overload the remove method
"""
self.Q.ax.figure.callbacks.disconnect(self._cid)
self._cid = None
# pass the remove call up the stack
martist.Artist.remove(self)
__init__.__doc__ = _quiverkey_doc
def _init(self):
if True: # not self._initialized:
if not self.Q._initialized:
self.Q._init()
self._set_transform()
_pivot = self.Q.pivot
self.Q.pivot = self.pivot[self.labelpos]
# Hack: save and restore the Umask
_mask = self.Q.Umask
self.Q.Umask = ma.nomask
u = self.U * np.cos(np.radians(self.angle))
v = self.U * np.sin(np.radians(self.angle))
angle = self.Q.angles if isinstance(self.Q.angles, str) else 'uv'
self.verts = self.Q._make_verts(
np.array([u]), np.array([v]), angle)
self.Q.Umask = _mask
self.Q.pivot = _pivot
kw = self.Q.polykw
kw.update(self.kw)
self.vector = mcollections.PolyCollection(
self.verts,
offsets=[(self.X, self.Y)],
transOffset=self.get_transform(),
**kw)
if self.color is not None:
self.vector.set_color(self.color)
self.vector.set_transform(self.Q.get_transform())
self.vector.set_figure(self.get_figure())
self._initialized = True
def _text_x(self, x):
if self.labelpos == 'E':
return x + self.labelsep
elif self.labelpos == 'W':
return x - self.labelsep
else:
return x
def _text_y(self, y):
if self.labelpos == 'N':
return y + self.labelsep
elif self.labelpos == 'S':
return y - self.labelsep
else:
return y
@martist.allow_rasterization
def draw(self, renderer):
self._init()
self.vector.draw(renderer)
x, y = self.get_transform().transform_point((self.X, self.Y))
self.text.set_x(self._text_x(x))
self.text.set_y(self._text_y(y))
self.text.draw(renderer)
self.stale = False
def _set_transform(self):
if self.coord == 'data':
self.set_transform(self.Q.ax.transData)
elif self.coord == 'axes':
self.set_transform(self.Q.ax.transAxes)
elif self.coord == 'figure':
self.set_transform(self.Q.ax.figure.transFigure)
elif self.coord == 'inches':
self.set_transform(self.Q.ax.figure.dpi_scale_trans)
else:
raise ValueError('unrecognized coordinates')
def set_figure(self, fig):
martist.Artist.set_figure(self, fig)
self.text.set_figure(fig)
def contains(self, mouseevent):
# Maybe the dictionary should allow one to
# distinguish between a text hit and a vector hit.
if (self.text.contains(mouseevent)[0] or
self.vector.contains(mouseevent)[0]):
return True, {}
return False, {}
quiverkey_doc = _quiverkey_doc
# This is a helper function that parses out the various combination of
# arguments for doing colored vector plots. Pulling it out here
# allows both Quiver and Barbs to use it
def _parse_args(*args):
X = Y = U = V = C = None
args = list(args)
# The use of atleast_1d allows for handling scalar arguments while also
# keeping masked arrays
if len(args) == 3 or len(args) == 5:
C = np.atleast_1d(args.pop(-1))
V = np.atleast_1d(args.pop(-1))
U = np.atleast_1d(args.pop(-1))
cbook._check_not_matrix(U=U, V=V, C=C)
if U.ndim == 1:
nr, nc = 1, U.shape[0]
else:
nr, nc = U.shape
if len(args) == 2: # remaining after removing U,V,C
X, Y = [np.array(a).ravel() for a in args]
if len(X) == nc and len(Y) == nr:
X, Y = [a.ravel() for a in np.meshgrid(X, Y)]
else:
indexgrid = np.meshgrid(np.arange(nc), np.arange(nr))
X, Y = [np.ravel(a) for a in indexgrid]
return X, Y, U, V, C
def _check_consistent_shapes(*arrays):
all_shapes = {a.shape for a in arrays}
if len(all_shapes) != 1:
raise ValueError('The shapes of the passed in arrays do not match')
class Quiver(mcollections.PolyCollection):
"""
Specialized PolyCollection for arrows.
The only API method is set_UVC(), which can be used
to change the size, orientation, and color of the
arrows; their locations are fixed when the class is
instantiated. Possibly this method will be useful
in animations.
Much of the work in this class is done in the draw()
method so that as much information as possible is available
about the plot. In subsequent draw() calls, recalculation
is limited to things that might have changed, so there
should be no performance penalty from putting the calculations
in the draw() method.
"""
_PIVOT_VALS = ('tail', 'middle', 'tip')
@docstring.Substitution(_quiver_doc)
def __init__(self, ax, *args,
scale=None, headwidth=3, headlength=5, headaxislength=4.5,
minshaft=1, minlength=1, units='width', scale_units=None,
angles='uv', width=None, color='k', pivot='tail', **kw):
"""
The constructor takes one required argument, an Axes
instance, followed by the args and kwargs described
by the following pyplot interface documentation:
%s
"""
self.ax = ax
X, Y, U, V, C = _parse_args(*args)
self.X = X
self.Y = Y
self.XY = np.column_stack((X, Y))
self.N = len(X)
self.scale = scale
self.headwidth = headwidth
self.headlength = float(headlength)
self.headaxislength = headaxislength
self.minshaft = minshaft
self.minlength = minlength
self.units = units
self.scale_units = scale_units
self.angles = angles
self.width = width
if pivot.lower() == 'mid':
pivot = 'middle'
self.pivot = pivot.lower()
cbook._check_in_list(self._PIVOT_VALS, pivot=self.pivot)
self.transform = kw.pop('transform', ax.transData)
kw.setdefault('facecolors', color)
kw.setdefault('linewidths', (0,))
mcollections.PolyCollection.__init__(self, [], offsets=self.XY,
transOffset=self.transform,
closed=False,
**kw)
self.polykw = kw
self.set_UVC(U, V, C)
self._initialized = False
# try to prevent closure over the real self
weak_self = weakref.ref(self)
def on_dpi_change(fig):
self_weakref = weak_self()
if self_weakref is not None:
self_weakref._new_UV = True # vertices depend on width, span
# which in turn depend on dpi
self_weakref._initialized = False # simple brute force update
# works because _init is
# called at the start of
# draw.
self._cid = self.ax.figure.callbacks.connect('dpi_changed',
on_dpi_change)
@cbook.deprecated("3.1", alternative="get_facecolor()")
@property
def color(self):
return self.get_facecolor()
@cbook.deprecated("3.1")
@property
def keyvec(self):
return None
@cbook.deprecated("3.1")
@property
def keytext(self):
return None
def remove(self):
"""
Overload the remove method
"""
# disconnect the call back
self.ax.figure.callbacks.disconnect(self._cid)
self._cid = None
# pass the remove call up the stack
mcollections.PolyCollection.remove(self)
def _init(self):
"""
Initialization delayed until first draw;
allow time for axes setup.
"""
# It seems that there are not enough event notifications
# available to have this work on an as-needed basis at present.
if True: # not self._initialized:
trans = self._set_transform()
ax = self.ax
sx, sy = trans.inverted().transform_point(
(ax.bbox.width, ax.bbox.height))
self.span = sx
if self.width is None:
sn = np.clip(math.sqrt(self.N), 8, 25)
self.width = 0.06 * self.span / sn
# _make_verts sets self.scale if not already specified
if not self._initialized and self.scale is None:
self._make_verts(self.U, self.V, self.angles)
self._initialized = True
def get_datalim(self, transData):
trans = self.get_transform()
transOffset = self.get_offset_transform()
full_transform = (trans - transData) + (transOffset - transData)
XY = full_transform.transform(self.XY)
bbox = transforms.Bbox.null()
bbox.update_from_data_xy(XY, ignore=True)
return bbox
@martist.allow_rasterization
def draw(self, renderer):
self._init()
verts = self._make_verts(self.U, self.V, self.angles)
self.set_verts(verts, closed=False)
self._new_UV = False
mcollections.PolyCollection.draw(self, renderer)
self.stale = False
def set_UVC(self, U, V, C=None):
# We need to ensure we have a copy, not a reference
# to an array that might change before draw().
U = ma.masked_invalid(U, copy=True).ravel()
V = ma.masked_invalid(V, copy=True).ravel()
mask = ma.mask_or(U.mask, V.mask, copy=False, shrink=True)
if C is not None:
C = ma.masked_invalid(C, copy=True).ravel()
mask = ma.mask_or(mask, C.mask, copy=False, shrink=True)
if mask is ma.nomask:
C = C.filled()
else:
C = ma.array(C, mask=mask, copy=False)
self.U = U.filled(1)
self.V = V.filled(1)
self.Umask = mask
if C is not None:
self.set_array(C)
self._new_UV = True
self.stale = True
def _dots_per_unit(self, units):
"""
Return a scale factor for converting from units to pixels
"""
ax = self.ax
if units in ('x', 'y', 'xy'):
if units == 'x':
dx0 = ax.viewLim.width
dx1 = ax.bbox.width
elif units == 'y':
dx0 = ax.viewLim.height
dx1 = ax.bbox.height
else: # 'xy' is assumed
dxx0 = ax.viewLim.width
dxx1 = ax.bbox.width
dyy0 = ax.viewLim.height
dyy1 = ax.bbox.height
dx1 = np.hypot(dxx1, dyy1)
dx0 = np.hypot(dxx0, dyy0)
dx = dx1 / dx0
else:
if units == 'width':
dx = ax.bbox.width
elif units == 'height':
dx = ax.bbox.height
elif units == 'dots':
dx = 1.0
elif units == 'inches':
dx = ax.figure.dpi
else:
raise ValueError('unrecognized units')
return dx
def _set_transform(self):
"""
Sets the PolygonCollection transform to go
from arrow width units to pixels.
"""
dx = self._dots_per_unit(self.units)
self._trans_scale = dx # pixels per arrow width unit
trans = transforms.Affine2D().scale(dx)
self.set_transform(trans)
return trans
def _angles_lengths(self, U, V, eps=1):
xy = self.ax.transData.transform(self.XY)
uv = np.column_stack((U, V))
xyp = self.ax.transData.transform(self.XY + eps * uv)
dxy = xyp - xy
angles = np.arctan2(dxy[:, 1], dxy[:, 0])
lengths = np.hypot(*dxy.T) / eps
return angles, lengths
def _make_verts(self, U, V, angles):
uv = (U + V * 1j)
str_angles = angles if isinstance(angles, str) else ''
if str_angles == 'xy' and self.scale_units == 'xy':
# Here eps is 1 so that if we get U, V by diffing
# the X, Y arrays, the vectors will connect the
# points, regardless of the axis scaling (including log).
angles, lengths = self._angles_lengths(U, V, eps=1)
elif str_angles == 'xy' or self.scale_units == 'xy':
# Calculate eps based on the extents of the plot
# so that we don't end up with roundoff error from
# adding a small number to a large.
eps = np.abs(self.ax.dataLim.extents).max() * 0.001
angles, lengths = self._angles_lengths(U, V, eps=eps)
if str_angles and self.scale_units == 'xy':
a = lengths
else:
a = np.abs(uv)
if self.scale is None:
sn = max(10, math.sqrt(self.N))
if self.Umask is not ma.nomask:
amean = a[~self.Umask].mean()
else:
amean = a.mean()
# crude auto-scaling
# scale is typical arrow length as a multiple of the arrow width
scale = 1.8 * amean * sn / self.span
if self.scale_units is None:
if self.scale is None:
self.scale = scale
widthu_per_lenu = 1.0
else:
if self.scale_units == 'xy':
dx = 1
else:
dx = self._dots_per_unit(self.scale_units)
widthu_per_lenu = dx / self._trans_scale
if self.scale is None:
self.scale = scale * widthu_per_lenu
length = a * (widthu_per_lenu / (self.scale * self.width))
X, Y = self._h_arrows(length)
if str_angles == 'xy':
theta = angles
elif str_angles == 'uv':
theta = np.angle(uv)
else:
theta = ma.masked_invalid(np.deg2rad(angles)).filled(0)
theta = theta.reshape((-1, 1)) # for broadcasting
xy = (X + Y * 1j) * np.exp(1j * theta) * self.width
XY = np.stack((xy.real, xy.imag), axis=2)
if self.Umask is not ma.nomask:
XY = ma.array(XY)
XY[self.Umask] = ma.masked
# This might be handled more efficiently with nans, given
# that nans will end up in the paths anyway.
return XY
def _h_arrows(self, length):
""" length is in arrow width units """
# It might be possible to streamline the code
# and speed it up a bit by using complex (x,y)
# instead of separate arrays; but any gain would be slight.
minsh = self.minshaft * self.headlength
N = len(length)
length = length.reshape(N, 1)
# This number is chosen based on when pixel values overflow in Agg
# causing rendering errors
# length = np.minimum(length, 2 ** 16)
np.clip(length, 0, 2 ** 16, out=length)
# x, y: normal horizontal arrow
x = np.array([0, -self.headaxislength,
-self.headlength, 0],
np.float64)
x = x + np.array([0, 1, 1, 1]) * length
y = 0.5 * np.array([1, 1, self.headwidth, 0], np.float64)
y = np.repeat(y[np.newaxis, :], N, axis=0)
# x0, y0: arrow without shaft, for short vectors
x0 = np.array([0, minsh - self.headaxislength,
minsh - self.headlength, minsh], np.float64)
y0 = 0.5 * np.array([1, 1, self.headwidth, 0], np.float64)
ii = [0, 1, 2, 3, 2, 1, 0, 0]
X = x[:, ii]
Y = y[:, ii]
Y[:, 3:-1] *= -1
X0 = x0[ii]
Y0 = y0[ii]
Y0[3:-1] *= -1
shrink = length / minsh if minsh != 0. else 0.
X0 = shrink * X0[np.newaxis, :]
Y0 = shrink * Y0[np.newaxis, :]
short = np.repeat(length < minsh, 8, axis=1)
# Now select X0, Y0 if short, otherwise X, Y
np.copyto(X, X0, where=short)
np.copyto(Y, Y0, where=short)
if self.pivot == 'middle':
X -= 0.5 * X[:, 3, np.newaxis]
elif self.pivot == 'tip':
X = X - X[:, 3, np.newaxis] # numpy bug? using -= does not
# work here unless we multiply
# by a float first, as with 'mid'.
elif self.pivot != 'tail':
raise ValueError(("Quiver.pivot must have value in {{'middle', "
"'tip', 'tail'}} not {0}").format(self.pivot))
tooshort = length < self.minlength
if tooshort.any():
# Use a heptagonal dot:
th = np.arange(0, 8, 1, np.float64) * (np.pi / 3.0)
x1 = np.cos(th) * self.minlength * 0.5
y1 = np.sin(th) * self.minlength * 0.5
X1 = np.repeat(x1[np.newaxis, :], N, axis=0)
Y1 = np.repeat(y1[np.newaxis, :], N, axis=0)
tooshort = np.repeat(tooshort, 8, 1)
np.copyto(X, X1, where=tooshort)
np.copyto(Y, Y1, where=tooshort)
# Mask handling is deferred to the caller, _make_verts.
return X, Y
quiver_doc = _quiver_doc
_barbs_doc = r"""
Plot a 2D field of barbs.
Call signature::
barbs([X, Y], U, V, [C], **kw)
Where *X*, *Y* define the barb locations, *U*, *V* define the barb
directions, and *C* optionally sets the color.
All arguments may be 1D or 2D. *U*, *V*, *C* may be masked arrays, but masked
*X*, *Y* are not supported at present.
Barbs are traditionally used in meteorology as a way to plot the speed
and direction of wind observations, but can technically be used to
plot any two dimensional vector quantity. As opposed to arrows, which
give vector magnitude by the length of the arrow, the barbs give more
quantitative information about the vector magnitude by putting slanted
lines or a triangle for various increments in magnitude, as show
schematically below::
: /\ \
: / \ \
: / \ \ \
: / \ \ \
: ------------------------------
The largest increment is given by a triangle (or "flag"). After those
come full lines (barbs). The smallest increment is a half line. There
is only, of course, ever at most 1 half line. If the magnitude is
small and only needs a single half-line and no full lines or
triangles, the half-line is offset from the end of the barb so that it
can be easily distinguished from barbs with a single full line. The
magnitude for the barb shown above would nominally be 65, using the
standard increments of 50, 10, and 5.
See also https://en.wikipedia.org/wiki/Wind_barb.
Parameters
----------
X, Y : 1D or 2D array-like, optional
The x and y coordinates of the barb locations. See *pivot* for how the
barbs are drawn to the x, y positions.
If not given, they will be generated as a uniform integer meshgrid based
on the dimensions of *U* and *V*.
If *X* and *Y* are 1D but *U*, *V* are 2D, *X*, *Y* are expanded to 2D
using ``X, Y = np.meshgrid(X, Y)``. In this case ``len(X)`` and ``len(Y)``
must match the column and row dimensions of *U* and *V*.
U, V : 1D or 2D array-like
The x and y components of the barb shaft.
C : 1D or 2D array-like, optional
Numeric data that defines the barb colors by colormapping via *norm* and
*cmap*.
This does not support explicit colors. If you want to set colors directly,
use *barbcolor* instead.
length : float, default: 7
Length of the barb in points; the other parts of the barb
are scaled against this.
pivot : {'tip', 'middle'} or float, default: 'tip'
The part of the arrow that is anchored to the *X*, *Y* grid. The barb
rotates about this point. This can also be a number, which shifts the
start of the barb that many points away from grid point.
barbcolor : color or color sequence
Specifies the color of all parts of the barb except for the flags. This
parameter is analogous to the *edgecolor* parameter for polygons,
which can be used instead. However this parameter will override
facecolor.
flagcolor : color or color sequence
Specifies the color of any flags on the barb. This parameter is
analogous to the *facecolor* parameter for polygons, which can be
used instead. However, this parameter will override facecolor. If
this is not set (and *C* has not either) then *flagcolor* will be
set to match *barbcolor* so that the barb has a uniform color. If
*C* has been set, *flagcolor* has no effect.
sizes : dict, optional
A dictionary of coefficients specifying the ratio of a given
feature to the length of the barb. Only those values one wishes to
override need to be included. These features include:
- 'spacing' - space between features (flags, full/half barbs)
- 'height' - height (distance from shaft to top) of a flag or full barb
- 'width' - width of a flag, twice the width of a full barb
- 'emptybarb' - radius of the circle used for low magnitudes
fill_empty : bool, default: False
Whether the empty barbs (circles) that are drawn should be filled with
the flag color. If they are not filled, the center is transparent.
rounding : bool, default: True
Whether the vector magnitude should be rounded when allocating barb
components. If True, the magnitude is rounded to the nearest multiple
of the half-barb increment. If False, the magnitude is simply truncated
to the next lowest multiple.
barb_increments : dict, optional
A dictionary of increments specifying values to associate with
different parts of the barb. Only those values one wishes to
override need to be included.
- 'half' - half barbs (Default is 5)
- 'full' - full barbs (Default is 10)
- 'flag' - flags (default is 50)
flip_barb : bool or array-like of bool, default: False
Whether the lines and flags should point opposite to normal.
Normal behavior is for the barbs and lines to point right (comes from wind
barbs having these features point towards low pressure in the Northern
Hemisphere).
A single value is applied to all barbs. Individual barbs can be flipped by
passing a bool array of the same size as *U* and *V*.
Returns
-------
barbs : `~matplotlib.quiver.Barbs`
Other Parameters
----------------
**kwargs
The barbs can further be customized using `.PolyCollection` keyword
arguments:
%(PolyCollection)s
""" % docstring.interpd.params
docstring.interpd.update(barbs_doc=_barbs_doc)
class Barbs(mcollections.PolyCollection):
'''
Specialized PolyCollection for barbs.
The only API method is :meth:`set_UVC`, which can be used to
change the size, orientation, and color of the arrows. Locations
are changed using the :meth:`set_offsets` collection method.
Possibly this method will be useful in animations.
There is one internal function :meth:`_find_tails` which finds
exactly what should be put on the barb given the vector magnitude.
From there :meth:`_make_barbs` is used to find the vertices of the
polygon to represent the barb based on this information.
'''
# This may be an abuse of polygons here to render what is essentially maybe
# 1 triangle and a series of lines. It works fine as far as I can tell
# however.
@docstring.interpd
def __init__(self, ax, *args,
pivot='tip', length=7, barbcolor=None, flagcolor=None,
sizes=None, fill_empty=False, barb_increments=None,
rounding=True, flip_barb=False, **kw):
"""
The constructor takes one required argument, an Axes
instance, followed by the args and kwargs described
by the following pyplot interface documentation:
%(barbs_doc)s
"""
self.sizes = sizes or dict()
self.fill_empty = fill_empty
self.barb_increments = barb_increments or dict()
self.rounding = rounding
self.flip = np.atleast_1d(flip_barb)
transform = kw.pop('transform', ax.transData)
self._pivot = pivot
self._length = length
barbcolor = barbcolor
flagcolor = flagcolor
# Flagcolor and barbcolor provide convenience parameters for
# setting the facecolor and edgecolor, respectively, of the barb
# polygon. We also work here to make the flag the same color as the
# rest of the barb by default
if None in (barbcolor, flagcolor):
kw['edgecolors'] = 'face'
if flagcolor:
kw['facecolors'] = flagcolor
elif barbcolor:
kw['facecolors'] = barbcolor
else:
# Set to facecolor passed in or default to black
kw.setdefault('facecolors', 'k')
else:
kw['edgecolors'] = barbcolor
kw['facecolors'] = flagcolor
# Explicitly set a line width if we're not given one, otherwise
# polygons are not outlined and we get no barbs
if 'linewidth' not in kw and 'lw' not in kw:
kw['linewidth'] = 1
# Parse out the data arrays from the various configurations supported
x, y, u, v, c = _parse_args(*args)
self.x = x
self.y = y
xy = np.column_stack((x, y))
# Make a collection
barb_size = self._length ** 2 / 4 # Empirically determined
mcollections.PolyCollection.__init__(self, [], (barb_size,),
offsets=xy,
transOffset=transform, **kw)
self.set_transform(transforms.IdentityTransform())
self.set_UVC(u, v, c)
def _find_tails(self, mag, rounding=True, half=5, full=10, flag=50):
'''
Find how many of each of the tail pieces is necessary. Flag
specifies the increment for a flag, barb for a full barb, and half for
half a barb. Mag should be the magnitude of a vector (i.e., >= 0).
This returns a tuple of:
(*number of flags*, *number of barbs*, *half_flag*, *empty_flag*)
*half_flag* is a boolean whether half of a barb is needed,
since there should only ever be one half on a given
barb. *empty_flag* flag is an array of flags to easily tell if
a barb is empty (too low to plot any barbs/flags.
'''
# If rounding, round to the nearest multiple of half, the smallest
# increment
if rounding:
mag = half * (mag / half + 0.5).astype(int)
num_flags = np.floor(mag / flag).astype(int)
mag = mag % flag
num_barb = np.floor(mag / full).astype(int)
mag = mag % full
half_flag = mag >= half
empty_flag = ~(half_flag | (num_flags > 0) | (num_barb > 0))
return num_flags, num_barb, half_flag, empty_flag
def _make_barbs(self, u, v, nflags, nbarbs, half_barb, empty_flag, length,
pivot, sizes, fill_empty, flip):
'''
This function actually creates the wind barbs. *u* and *v*
are components of the vector in the *x* and *y* directions,
respectively.
*nflags*, *nbarbs*, and *half_barb*, empty_flag* are,
*respectively, the number of flags, number of barbs, flag for
*half a barb, and flag for empty barb, ostensibly obtained
*from :meth:`_find_tails`.
*length* is the length of the barb staff in points.
*pivot* specifies the point on the barb around which the
entire barb should be rotated. Right now, valid options are
'tip' and 'middle'. Can also be a number, which shifts the start
of the barb that many points from the origin.
*sizes* is a dictionary of coefficients specifying the ratio
of a given feature to the length of the barb. These features
include:
- *spacing*: space between features (flags, full/half
barbs)
- *height*: distance from shaft of top of a flag or full
barb
- *width* - width of a flag, twice the width of a full barb
- *emptybarb* - radius of the circle used for low
magnitudes
*fill_empty* specifies whether the circle representing an
empty barb should be filled or not (this changes the drawing
of the polygon).
*flip* is a flag indicating whether the features should be flipped to
the other side of the barb (useful for winds in the southern
hemisphere).
This function returns list of arrays of vertices, defining a polygon
for each of the wind barbs. These polygons have been rotated to
properly align with the vector direction.
'''
# These control the spacing and size of barb elements relative to the
# length of the shaft
spacing = length * sizes.get('spacing', 0.125)
full_height = length * sizes.get('height', 0.4)
full_width = length * sizes.get('width', 0.25)
empty_rad = length * sizes.get('emptybarb', 0.15)
# Controls y point where to pivot the barb.
pivot_points = dict(tip=0.0, middle=-length / 2.)
endx = 0.0
try:
endy = float(pivot)
except ValueError:
endy = pivot_points[pivot.lower()]
# Get the appropriate angle for the vector components. The offset is
# due to the way the barb is initially drawn, going down the y-axis.
# This makes sense in a meteorological mode of thinking since there 0
# degrees corresponds to north (the y-axis traditionally)
angles = -(ma.arctan2(v, u) + np.pi / 2)
# Used for low magnitude. We just get the vertices, so if we make it
# out here, it can be reused. The center set here should put the
# center of the circle at the location(offset), rather than at the
# same point as the barb pivot; this seems more sensible.
circ = CirclePolygon((0, 0), radius=empty_rad).get_verts()
if fill_empty:
empty_barb = circ
else:
# If we don't want the empty one filled, we make a degenerate
# polygon that wraps back over itself
empty_barb = np.concatenate((circ, circ[::-1]))
barb_list = []
for index, angle in np.ndenumerate(angles):
# If the vector magnitude is too weak to draw anything, plot an
# empty circle instead
if empty_flag[index]:
# We can skip the transform since the circle has no preferred
# orientation
barb_list.append(empty_barb)
continue
poly_verts = [(endx, endy)]
offset = length
# Handle if this barb should be flipped
barb_height = -full_height if flip[index] else full_height
# Add vertices for each flag
for i in range(nflags[index]):
# The spacing that works for the barbs is a little to much for
# the flags, but this only occurs when we have more than 1
# flag.
if offset != length:
offset += spacing / 2.
poly_verts.extend(
[[endx, endy + offset],
[endx + barb_height, endy - full_width / 2 + offset],
[endx, endy - full_width + offset]])
offset -= full_width + spacing
# Add vertices for each barb. These really are lines, but works
# great adding 3 vertices that basically pull the polygon out and
# back down the line
for i in range(nbarbs[index]):
poly_verts.extend(
[(endx, endy + offset),
(endx + barb_height, endy + offset + full_width / 2),
(endx, endy + offset)])
offset -= spacing
# Add the vertices for half a barb, if needed
if half_barb[index]:
# If the half barb is the first on the staff, traditionally it
# is offset from the end to make it easy to distinguish from a
# barb with a full one
if offset == length:
poly_verts.append((endx, endy + offset))
offset -= 1.5 * spacing
poly_verts.extend(
[(endx, endy + offset),
(endx + barb_height / 2, endy + offset + full_width / 4),
(endx, endy + offset)])
# Rotate the barb according the angle. Making the barb first and
# then rotating it made the math for drawing the barb really easy.
# Also, the transform framework makes doing the rotation simple.
poly_verts = transforms.Affine2D().rotate(-angle).transform(
poly_verts)
barb_list.append(poly_verts)
return barb_list
def set_UVC(self, U, V, C=None):
self.u = ma.masked_invalid(U, copy=False).ravel()
self.v = ma.masked_invalid(V, copy=False).ravel()
# Flip needs to have the same number of entries as everything else.
# Use broadcast_to to avoid a bloated array of identical values.
# (can't rely on actual broadcasting)
if len(self.flip) == 1:
flip = np.broadcast_to(self.flip, self.u.shape)
else:
flip = self.flip
if C is not None:
c = ma.masked_invalid(C, copy=False).ravel()
x, y, u, v, c, flip = cbook.delete_masked_points(
self.x.ravel(), self.y.ravel(), self.u, self.v, c,
flip.ravel())
_check_consistent_shapes(x, y, u, v, c, flip)
else:
x, y, u, v, flip = cbook.delete_masked_points(
self.x.ravel(), self.y.ravel(), self.u, self.v, flip.ravel())
_check_consistent_shapes(x, y, u, v, flip)
magnitude = np.hypot(u, v)
flags, barbs, halves, empty = self._find_tails(magnitude,
self.rounding,
**self.barb_increments)
# Get the vertices for each of the barbs
plot_barbs = self._make_barbs(u, v, flags, barbs, halves, empty,
self._length, self._pivot, self.sizes,
self.fill_empty, flip)
self.set_verts(plot_barbs)
# Set the color array
if C is not None:
self.set_array(c)
# Update the offsets in case the masked data changed
xy = np.column_stack((x, y))
self._offsets = xy
self.stale = True
def set_offsets(self, xy):
"""
Set the offsets for the barb polygons. This saves the offsets passed
in and masks them as appropriate for the existing U/V data.
Parameters
----------
xy : sequence of pairs of floats
"""
self.x = xy[:, 0]
self.y = xy[:, 1]
x, y, u, v = cbook.delete_masked_points(
self.x.ravel(), self.y.ravel(), self.u, self.v)
_check_consistent_shapes(x, y, u, v)
xy = np.column_stack((x, y))
mcollections.PolyCollection.set_offsets(self, xy)
self.stale = True
barbs_doc = _barbs_doc
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