8000 Clean up quiver docstring + add simple quiver example by dstansby · Pull Request #7913 · matplotlib/matplotlib · GitHub
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Clean up quiver docstring + add simple quiver example #7913

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Merged
merged 11 commits into from
Jan 29, 2017
86 changes: 16 additions & 70 deletions examples/pylab_examples/quiver_demo.py
Original file line number Diff line number Diff line change
@@ -1,12 +1,12 @@
'''
Demonstration of quiver and quiverkey functions. This is using the
new version coming from the code in quiver.py.
========================================================
Demonstration of advanced quiver and quiverkey functions
========================================================

Known problem: the plot autoscaling does not take into account
the arrows, so those on the boundaries are often out of the picture.
This is *not* an easy problem to solve in a perfectly general way.
The workaround is to manually expand the axes.

'''
import matplotlib.pyplot as plt
import numpy as np
Expand All @@ -16,81 +16,27 @@
U = np.cos(X)
V = np.sin(Y)

# 1
plt.figure()
Q = plt.quiver(U, V)
qk = plt.quiverkey(Q, 0.5, 0.98, 2, r'$2 \frac{m}{s}$', labelpos='W',
fontproperties={'weight': 'bold'})
l, r, b, t = plt.axis()
dx, dy = r - l, t - b
plt.axis([l - 0.05*dx, r + 0.05*dx, b - 0.05*dy, t + 0.05*dy])

plt.title('Minimal arguments, no kwargs')

# 2
plt.figure()
plt.title('Arrows scale with plot width, not view')
Q = plt.quiver(X, Y, U, V, units='width')
qk = plt.quiverkey(Q, 0.9, 0.95, 2, r'$2 \frac{m}{s}$',
labelpos='E',
coordinates='figure',
fontproperties={'weight': 'bold'})
plt.axis([-1, 7, -1, 7])
plt.title('scales with plot width, not view')
qk = plt.quiverkey(Q, 0.9, 0.9, 2, r'$2 \frac{m}{s}$', labelpos='E',
coordinates='figure')

# 3
plt.figure()
Q = plt.quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
pivot='mid', color='r', units='inches')
qk = plt.quiverkey(Q, 0.5, 0.03, 1, r'$1 \frac{m}{s}$',
fontproperties={'weight': 'bold'})
plt.plot(X[::3, ::3], Y[::3, ::3], 'k.')
plt.axis([-1, 7, -1, 7])
plt.title("pivot='mid'; every third arrow; units='inches'")
Q = plt.quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
pivot='mid', units='inches')
qk = plt.quiverkey(Q, 0.9, 0.9, 1, r'$1 \frac{m}{s}$', labelpos='E',
coordinates='figure')
plt.scatter(X[::3, ::3], Y[::3, ::3], color='r', s=5)

# 4
plt.figure()
plt.title("pivot='tip'; scales with x view")
M = np.hypot(U, V)
Q = plt.quiver(X, Y, U, V, M,
units='x',
pivot='tip',
width=0.022,
Q = plt.quiver(X, Y, U, V, M, units='x', pivot='tip', width=0.022,
scale=1 / 0.15)
qk = plt.quiverkey(Q, 0.9, 1.05, 1, r'$1 \frac{m}{s}$',
labelpos='E',
fontproperties={'weight': 'bold'})
plt.plot(X, Y, 'k.', markersize=2)
plt.axis([-1, 7, -1, 7])
plt.title("scales with x view; pivot='tip'")

# 5
plt.figure()
Q = plt.quiver(X[::3, ::3], Y[::3, ::3], U[::3, ::3], V[::3, ::3],
color='r', units='x',
linewidths=(0.5,), edgecolors=('k'), headaxislength=5)
qk = plt.quiverkey(Q, 0.5, 0.03, 1, r'$1 \frac{m}{s}$',
fontproperties={'weight': 'bold'})
plt.axis([-1, 7, -1, 7])
plt.title("triangular head; scale with x view; black edges")

# 6
plt.figure()
M = np.zeros(U.shape, dtype='bool')
XMaskStart = U.shape[0]//3
YMaskStart = U.shape[1]//3
XMaskStop = 2*U.shape[0]//3
YMaskStop = 2*U.shape[1]//3

M[XMaskStart:XMaskStop,
YMaskStart:YMaskStop] = True
U = ma.masked_array(U, mask=M)
V = ma.masked_array(V, mask=M)
Q = plt.quiver(U, V)
qk = plt.quiverkey(Q, 0.5, 0.98, 2, r'$2 \frac{m}{s}$', labelpos='W',
fontproperties={'weight': 'bold'})
l, r, b, t = plt.axis()
dx, dy = r - l, t - b
plt.axis([l - 0.05 * dx, r + 0.05 * dx, b - 0.05 * dy, t + 0.05 * dy])
plt.title('Minimal arguments, no kwargs - masked values')

qk = plt.quiverkey(Q, 0.9, 0.9, 1, r'$1 \frac{m}{s}$', labelpos='E',
coordinates='figure')
plt.scatter(X, Y, color='k', s=5)

plt.show()
18 changes: 18 additions & 0 deletions examples/pylab_examples/quiver_simple_demo.py
8000
Original file line number Diff line number Diff line change
@@ -0,0 +1,18 @@
'''
==================================================
A simple example of a quiver plot with a quiverkey
==================================================
'''
import matplotlib.pyplot as plt
import numpy as np

X = np.arange(-10, 10, 1)
Y = np.arange(-10, 10, 1)
U, V = np.meshgrid(X, Y)

fig, ax = plt.subplots()
q = ax.quiver(X, Y, U, V)
ax.quiverkey(q, X=0.3, Y=1.1, U=10,
label='Quiver key, length = 10', labelpos='E')

plt.show()
148 changes: 80 additions & 68 deletions lib/matplotlib/quiver.py
Original file line number Diff line number Diff line change
Expand Up @@ -38,128 +38,140 @@
_quiver_doc = """
Plot a 2-D field of arrows.

call signatures::
Call signatures::

quiver(U, V, **kw)
quiver(U, V, C, **kw)
quiver(X, Y, U, V, **kw)
quiver(X, Y, U, V, C, **kw)

Arguments:

*X*, *Y*:
The x and y coordinates of the arrow locations (default is tail of
arrow; see *pivot* kwarg)

*U*, *V*:
Give the x and y components of the arrow vectors
*U* and *V* are the arrow data, *X* and *Y* set the locaiton of the
arrows, and *C* sets the color of the arrows. These arguments may be 1-D or
2-D arrays or sequences.

*C*:
An optional array used to map colors to the arrows

All arguments may be 1-D or 2-D arrays or sequences. If *X* and *Y*
are absent, they will be generated as a uniform grid. If *U* and *V*
are 2-D arrays but *X* and *Y* are 1-D, and if ``len(X)`` and ``len(Y)``
match the column and row dimensions of *U*, then *X* and *Y* will be
If *X* and *Y* are absent, they will be generated as a uniform grid.
If *U* and *V* are 2-D arrays and *X* and *Y* are 1-D, and if ``len(X)`` and
``len(Y)`` match the column and row dimensions of *U*, then *X* and *Y* will be
expanded with :func:`numpy.meshgrid`.

*U*, *V*, *C* may be masked arrays, but masked *X*, *Y* are not
supported at present.
The default settings auto-scales the length of the arrows to a reasonable size.
To change this behavior see the *scale* and *scale_units* kwargs.

Keyword arguments:
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.

*linewidths* and *edgecolors* can be used to customize the arrow
outlines.

*units*: [ 'width' | 'height' | 'dots' | 'inches' | 'x' | 'y' | 'xy' ]
Arrow units; the arrow dimensions *except for length* are in
multiples of this unit.
Parameters
----------
X : 1D or 2D array, sequence, optional
The x coordinates of the arrow locations
Y : 1D or 2D array, sequence, optional
The y coordinates of the arrow locations
U : 1D or 2D array or masked array, sequence
The x components of the arrow vectors
V : 1D or 2D array or masked array, sequence
The y components of the arrow vectors
C : 1D or 2D array, sequence, optional
The arrow colors
units : [ 'width' | 'height' | 'dots' | 'inches' | 'x' | 'y' | 'xy' ]
The arrow dimensions (except for *length*) are measured in multiples of
this unit.

* 'width' or 'height': the width or height of the axes
'width' or 'height': the width or height of the axis

* 'dots' or 'inches': pixels or inches, based on the figure dpi
'dots' or 'inches': pixels or inches, based on the figure dpi

* 'x', 'y', or 'xy': *X*, *Y*, or sqrt(X^2+Y^2) data units
'x', 'y', or 'xy': respectively *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' ], array, optional
Method for determining the angle of the arrows. Default is 'uv'.


*angles*: [ 'uv' | 'xy' | array ]
With the default 'uv', the arrow axis aspect ratio is 1, so that
'uv': the arrow axis aspect ratio is 1 so that
if *U*==*V* the orientation of the arrow on the plot is 45 degrees
CCW from the horizontal axis (positive to the right).
With 'xy', the arrow points from (x,y) to (x+u, y+v).
counter-clockwise from the horizontal axis (positive to the right).

'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 as an array
of values in degrees, CCW from the horizontal axis.
of values in degrees, counter-clockwise from the horizontal axis.

Note: inverting a data axis will correspondingly invert the
arrows *only* with `angles='xy'`.
arrows only with ``angles='xy'``.
scale : None, 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*.

*scale*: [ *None* | float ]
Data units per arrow length unit, e.g., m/s per plot width; a smaller
scale parameter makes the arrow longer. 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
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' ], \
None, optional
If the *scale* kwarg is *None*, the arrow length unit. Default is *None*.

*scale_units*: *None*, or any of the *units* options.
For example, if *scale_units* is 'inches', *scale* is 2.0, and
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', then the vector will be half the width
of the axes.

If *scale_units* is 'width'/'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
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*:
``angles='xy', scale_units='xy', scale=1``.
width : scalar, 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*: scalar
headwidth : scalar, optional
Head width as multiple of shaft width, default is 3

*headlength*: scalar
headlength : scalar, optional
Head length as multiple of shaft width, default is 5

*headaxislength*: scalar
headaxislength : scalar, optional
Head length at shaft intersection, default is 4.5

*minshaft*: scalar
minshaft : scalar, optional
Length below which arrow scales, in units of head length. Do not
set this to less than 1, or small arrows will look terrible!
Default is 1

*minlength*: scalar
minlength : scalar, optional
Minimum length as a multiple of shaft width; if an arrow length
is less than this, plot a dot (hexagon) of this diameter instead.
Default is 1.

*pivot*: [ 'tail' | 'mid' | 'middle' | 'tip' ]
pivot : [ 'tail' | 'mid' | 'middle' | 'tip' ], optional
The part of the arrow that is at the grid point; the arrow rotates
about this point, hence the name *pivot*.

*color*: [ color | color sequence ]
color : [ color | color sequence ], optional
This is a synonym for the
:class:`~matplotlib.collections.PolyCollection` facecolor kwarg.
If *C* has been set, *color* has no effect.

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.

linewidths and edgecolors can be used to customize the arrow
outlines. Additional :class:`~matplotlib.collections.PolyCollection`
Notes
-----
Additional :class:`~matplotlib.collections.PolyCollection`
keyword arguments:

%(PolyCollection)s

Examples
--------
.. plot:: mpl_examples/pylab_examples/quiver_simple_demo.py

See Also
--------
quiverkey : Add a key to a quiver plot
""" % docstring.interpd.params

_quiverkey_doc = """
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