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These are classes to support contour plotting and
labelling for the axes class
i����( t divisiont print_functionN( t ma( t BlockingContourLabelert
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Unlike the ordinary text, the get_rotation returns an updated
angle in the pixel coordinate assuming that the input rotation is
an angle in data coordinate (or whatever transform set).
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__module__t __doc__R ( ( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyR $ s t ContourLabelerc B s� e Z d Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z
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Label a contour plot.
Call signature::
clabel(cs, **kwargs)
Adds labels to line contours in *cs*, where *cs* is a
:class:`~matplotlib.contour.ContourSet` object returned by
contour.
::
clabel(cs, v, **kwargs)
only labels contours listed in *v*.
Optional keyword arguments:
*fontsize*:
size in points or relative size eg 'smaller', 'x-large'
*colors*:
- if *None*, the color of each label matches the color of
the corresponding contour
- if one string color, e.g. *colors* = 'r' or *colors* =
'red', all labels will be plotted in this color
- if a tuple of matplotlib color args (string, float, rgb, etc),
different labels will be plotted in different colors in the order
specified
*inline*:
controls whether the underlying contour is removed or
not. Default is *True*.
*inline_spacing*:
space in pixels to leave on each side of label when
placing inline. Defaults to 5. This spacing will be
exact for labels at locations where the contour is
straight, less so for labels on curved contours.
*fmt*:
a format string for the label. Default is '%1.3f'
Alternatively, this can be a dictionary matching contour
levels with arbitrary strings to use for each contour level
(i.e., fmt[level]=string), or it can be any callable, such
as a :class:`~matplotlib.ticker.Formatter` instance, that
returns a string when called with a numeric contour level.
*manual*:
if *True*, contour labels will be placed manually using
mouse clicks. Click the first button near a contour to
add a label, click the second button (or potentially both
mouse buttons at once) to finish adding labels. The third
button can be used to remove the last label added, but
only if labels are not inline. Alternatively, the keyboard
can be used to select label locations (enter to end label
placement, delete or backspace act like the third mouse button,
and any other key will select a label location).
*manual* can be an iterable object of x,y tuples. Contour labels
will be created as if mouse is clicked at each x,y positions.
*rightside_up*:
if *True* (default), label rotations will always be plus
or minus 90 degrees from level.
*use_clabeltext*:
if *True* (default is False), ClabelText class (instead of
matplotlib.Text) is used to create labels. ClabelText
recalculates rotation angles of texts during the drawing time,
therefore this can be used if aspect of the axes changes.
.. plot:: mpl_examples/pylab_examples/contour_demo.py
t fontsizet inlinei t inline_spacingi t fmts %1.3ft colorst use_clabeltextt manualt rightside_upi s Specified levels s
don't match available levels s- Illegal arguments to clabel, see help(clabel)s$ Font size must be an integer number.t Nt cmapt norms9 Select label locations manually using first mouse button.s. End manual selection with second mouse button.s1 Remove last label by clicking third mouse button.s text.TextN(4 t gett Nonet labelFmtt Falset _use_clabeltextt labelManualt TrueR t lent levelst ranget cvaluest listt enumeratet appendt strt
ValueErrort TypeErrort labelLevelListt labelIndiceListt font_managert FontPropertiest labelFontPropst intt get_size_in_pointst typet floatt set_sizet labelFontSizeListt
labelMappableR t taket labelCValueListR t ListedColormapt cmt ScalarMappablet NoNormt labelXYst cbookt iterablet add_label_neart printR t labelst
labelTextst clt cl_xyt labelCValuest
cl_cvaluest silent_listt labelTextsList( R
t argst kwargsR R R t _colorsR* t indicest levlabst it levt msgt font_sizeR R R t blocking_contour_labeler( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt clabel6 sz \
c C s� t | � } | d | k r t St j | d d � d f � } t j | d d � d f � } t j | d d � d f � } t j | d d � d f � } | } | | d | k s� | | d | k r� t St Sd S( s5 Return *False* if contours are too short for a label.i
Ni i g333333�?( R) R( R t amaxt aminR% ( R
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labelwidtht lcsizet xmaxt xmint ymaxt ymint lw( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt print_label� s (c C sW xP | j D]E } t j | | d d | | d d � } | d | k r
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Wt S( s7 Return *True* if a label is already near this location.i i i g333333�?( RE R t sqrtR( R% ( R
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Return x, y, and the index of a label location.
Labels are plotted at a location with the smallest
deviation of the contour from a straight line
unless there is another label nearby, in which case
the next best place on the contour is picked up.
If all such candidates are rejected, the beginning
of the contour is chosen.
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Return the width of the label in points.
t TeXt _TeX_managert _mathtext_parsert bitmapt dpiiH t propg333333�?( RF t is_string_liket get_textR R t is_math_textt hasattrt
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RX R t fsizet ismathRf t _t img( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt get_label_width s !'c C s� t j t j | j j � � j d d � d d �} t j | d | d � } | j | | j | | � d � | j
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This computes actual onscreen label width.
This uses some black magic to determine onscreen extent of non-drawn
label. This magic may not be very robust.
This method is not being used, and may be modified or removed.
i t axisi i t kt rendererN( R t meant asarrayt axR� t reshapeR R t set_label_propsR| t get_window_extentt figuret canvasR� t difft corners( R
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c C sL t j | � r | St | t � r* | | St | � r@ | | � S| | Sd S( s get the text of the labelN( RF R{ t
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Find a good place to plot a label (relatively flat
part of the contour).
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t j | � � r�| j t j | | | d | d d !| f � q�q�t j | d � sZ| j t j | | d d | f � n t j | d � s�| j t j | | | d f � q�n |
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This function calculates the appropriate label rotation given
the linecontour coordinates in screen units, the index of the
label location and the label width.
It will also break contour and calculate inlining if *lc* is
not empty (lc defaults to the empty list if None). *spacing*
is the space around the label in pixels to leave empty.
Do both of these tasks at once to avoid calling mlab.path_length
multiple times, which is relatively costly.
The method used here involves calculating the path length
along the contour in pixel coordinates and then looking
approximately label width / 2 away from central point to
determine rotation and then to break contour if desired.
g @i����i i t extrapR� g g �f@iZ i����N( R# t mlabt is_closed_polygonR t r_R) t path_lengthR t
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j | � d S( Nt alpha( R> t to_rgbaR� R| R$ R� RK R/ RN RE R� t
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_add_label s c C s2 | j | | | � } | j | | | | | � d S( sO
Add contour label using :class:`~matplotlib.text.Text` class.
N( R� R� ( R
R R R� RX R� R� ( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt add_label
s c C s2 | j | | | � } | j | | | | | � d S( sD
Add contour label using :class:`ClabelText` class.
N( R� R� ( R
R R R� RX R� R� ( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt add_label_clabeltext s c C s� | d k r | j j } n | r? | j | | f � \ } } n | j | | | j � d \ } } } } }
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Add a label near the point (x, y) of the given transform.
If transform is None, data transform is used. If transform is
False, IdentityTransform is used.
*inline*:
controls whether the underlying contour is removed or
not. Default is *True*.
*inline_spacing*:
space in pixels to leave on each side of label when
placing inline. Defaults to 5. This spacing will be
exact for labels at locations where the contour is
straight, less so for labels on curved contours.
i i N( R# R� R� R� t find_nearest_contourR4 R� t collectionst get_pathst verticest transformR� R3 R$ R= R� R� R@ t popR) R/ t mpatht Path( R
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i����c C s0 | j j | � | j j | � } | j � d S( s> Defaults to removing last label, but any index can be suppliedN( RN R� RK t remove( R
R� R� ( ( s8 /usr/lib64/python2.7/site-packages/matplotlib/contour.pyt pop_label` s c C s | j r | j } n | j } x�t | j | j | j | j � D]�\ } } } } | j | } | j � } | j
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ContourSetc B s� e Z d Z d � Z d � Z d � Z d e d � Z d � Z d � Z d � Z
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Store a set of contour lines or filled regions.
User-callable method: clabel
Useful attributes:
ax:
The axes object in which the contours are drawn
collections:
a silent_list of LineCollections or PolyCollections
levels:
contour levels
layers:
same as levels for line contours; half-way between
levels for filled contours. See :meth:`_process_colors`.
c O s | | _ | j d d( � | _ | j d t � | _ | j d d( � | _ | j d d( � | _ | j d d( g � | _ | j d d( � | _ | j d d( � | _
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d k r�t j d | _
n | j d d( � | _ | j | | � | j � | j d( k r t | j � } | j r| d 8} n t j | j d | �} n | j r:t j! d � | _" n t j! d � | _" g | _# g | _$ i | d 6} | d( k r�| | d <n t% j& j' | | � | d( k r�| | j( _) n | d( k r�| | j( _* n | j+ � | j, � \ | _- | _. | j r | j d( k rt/ j0 d � n | j1 � \ }
} | j. d( k rTd( g t | j- � | _. n x�t2 |
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} } | j3 | | � } | j d! d � } t4 j5 | d" | j f d# d$ d | j d | j6 � d! | �} | j j7 | � | j" j8 | � qpWn� | j9 � } | | _: | j; � } | j } | d( k rN| j f } n x� t2 | j | | | j- � D]� \ } } } } | j d! d% � } t4 j< | d" | d | d& | d | j d | j6 � d! | �} | j= d' � | j j7 | t � | j" j8 | � qjW| j> � d( S(* s
Draw contour lines or filled regions, depending on
whether keyword arg 'filled' is *False* (default) or *True*.
The first three arguments must be:
*ax*: axes object.
*levels*: [level0, level1, ..., leveln]
A list of floating point numbers indicating the contour
levels.
*allsegs*: [level0segs, level1segs, ...]
List of all the polygon segments for all the *levels*.
For contour lines ``len(allsegs) == len(levels)``, and for
filled contour regions ``len(allsegs) = len(levels)-1``.
level0segs = [polygon0, polygon1, ...]
polygon0 = array_like [[x0,y0], [x1,y1], ...]
*allkinds*: *None* or [level0kinds, level1kinds, ...]
Optional list of all the polygon vertex kinds (code types), as
described and used in Path. This is used to allow multiply-
connected paths such as holes within filled polygons.
If not *None*, len(allkinds) == len(allsegs).
level0kinds = [polygon0kinds, ...]
polygon0kinds = [vertexcode0, vertexcode1, ...]
If *allkinds* is not *None*, usually all polygons for a particular
contour level are grouped together so that
level0segs = [polygon0] and level0kinds = [polygon0kinds].
Keyword arguments are as described in
:class:`~matplotlib.contour.QuadContourSet` object.
**Examples:**
.. plot:: mpl_examples/misc/contour_manual.py
R* t filledt
linewidthst
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c C sk | j d k r! | j j | _ nC t | j t j � rd t | j d � rd | j j | j � | _ n | j S( sp
Return the :class:`~matplotlib.transforms.Transform`
instance used by this ContourSet.
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Return a list of artist and labels suitable for passing through
to :func:`plt.legend` which represent this ContourSet.
Args:
*variable_name*: the string used inside the inequality used
on the labels
*str_format*: function used to format the numbers in the labels
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Process *args* and *kwargs*; override in derived classes.
Must set self.levels, self.zmin and self.zmax, and update axes
limits.
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allkinds can be None.
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Return (lowers,uppers) for filled contours.
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Select contour levels to span the data.
We need two more levels for filled contours than for
line contours, because for the latter we need to specify
the lower and upper boundary of each range. For example,
a single contour boundary, say at z = 0, requires only
one contour line, but two filled regions, and therefore
three levels to provide boundaries for both regions.
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Determine the contour levels and store in self.levels.
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Assign values to :attr:`layers` based on :attr:`levels`,
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a line is a thin layer. No extended levels are needed
with line contours.
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Color argument processing for contouring.
Note that we base the color mapping on the contour levels
and layers, not on the actual range of the Z values. This
means we don't have to worry about bad values in Z, and we
always have the full dynamic range available for the selected
levels.
The color is based on the midpoint of the layer, except for
extended end layers. By default, the norm vmin and vmax
are the extreme values of the non-extended levels. Hence,
the layer color extremes are not the extreme values of
the colormap itself, but approach those values as the number
of levels increases. An advantage of this scheme is that
line contours, when added to filled contours, take on
colors that are consistent with those of the filled regions;
for example, a contour line on the boundary between two
regions will have a color intermediate between those
of the regions.
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Finds contour that is closest to a point. Defaults to
measuring distance in pixels (screen space - useful for manual
contour labeling), but this can be controlled via a keyword
argument.
Returns a tuple containing the contour, segment, index of
segment, x & y of segment point and distance to minimum point.
Call signature::
conmin,segmin,imin,xmin,ymin,dmin = find_nearest_contour(
self, x, y, indices=None, pixel=True )
Optional keyword arguments:
*indices*:
Indexes of contour levels to consider when looking for
nearest point. Defaults to using all levels.
*pixel*:
If *True*, measure distance in pixel space, if not, measure
distance in axes space. Defaults to *True*.
g _�BNi i i ( R# R+ R) R* R� R R� R. R� R� RM R R� t find( R
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Create and store a set of contour lines or filled regions.
User-callable method: :meth:`clabel`
Useful attributes:
ax:
The axes object in which the contours are drawn
collections:
A silent_list of LineCollections or PolyCollections
levels:
Contour levels
layers:
Same as levels for line contours; half-way between
levels for filled contours. See :meth:`_process_colors` method.
c O s t j | | | | � d S( sF
Calculate and draw contour lines or filled regions, depending
on whether keyword arg 'filled' is False (default) or True.
The first argument of the initializer must be an axes
object. The remaining arguments and keyword arguments
are described in QuadContourSet.contour_doc.
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Process args and kwargs.
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Create and return allsegs and allkinds by calling underlying C code.
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For functions like contour, check that the dimensions
of the input arrays match; if x and y are 1D, convert
them to 2D using meshgrid.
Possible change: I think we should make and use an ArgumentError
Exception class (here and elsewhere).
i t xdatat ydataRS R� s Input z must be a 2D array.i s Inputs x and y must be 1D or 2D.s, Length of x must be number of columns in z,
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Return X, Y arrays such that contour(Z) will match imshow(Z)
if origin is not None.
The center of pixel Z[i,j] depends on origin:
if origin is None, x = j, y = i;
if origin is 'lower', x = j + 0.5, y = i + 0.5;
if origin is 'upper', x = j + 0.5, y = Nrows - i - 0.5
If extent is not None, x and y will be scaled to match,
as in imshow.
If origin is None and extent is not None, then extent
will give the minimum and maximum values of x and y.
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Plot contours.
:func:`~matplotlib.pyplot.contour` and
:func:`~matplotlib.pyplot.contourf` draw contour lines and
filled contours, respectively. Except as noted, function
signatures and return values are the same for both versions.
:func:`~matplotlib.pyplot.contourf` differs from the MATLAB
version in that it does not draw the polygon edges.
To draw edges, add line contours with
calls to :func:`~matplotlib.pyplot.contour`.
Call signatures::
contour(Z)
make a contour plot of an array *Z*. The level values are chosen
automatically.
::
contour(X,Y,Z)
*X*, *Y* specify the (x, y) coordinates of the surface
::
contour(Z,N)
contour(X,Y,Z,N)
contour *N* automatically-chosen levels.
::
contour(Z,V)
contour(X,Y,Z,V)
draw contour lines at the values specified in sequence *V*
::
contourf(..., V)
fill the ``len(V)-1`` regions between the values in *V*
::
contour(Z, **kwargs)
Use keyword args to control colors, linewidth, origin, cmap ... see
below for more details.
*X* and *Y* must both be 2-D with the same shape as *Z*, or they
must both be 1-D such that ``len(X)`` is the number of columns in
*Z* and ``len(Y)`` is the number of rows in *Z*.
``C = contour(...)`` returns a
:class:`~matplotlib.contour.QuadContourSet` object.
Optional keyword arguments:
*colors*: [ *None* | string | (mpl_colors) ]
If *None*, the colormap specified by cmap will be used.
If a string, like 'r' or 'red', all levels will be plotted in this
color.
If a tuple of matplotlib color args (string, float, rgb, etc),
different levels will be plotted in different colors in the order
specified.
*alpha*: float
The alpha blending value
*cmap*: [ *None* | Colormap ]
A cm :class:`~matplotlib.colors.Colormap` instance or
*None*. If *cmap* is *None* and *colors* is *None*, a
default Colormap is used.
*norm*: [ *None* | Normalize ]
A :class:`matplotlib.colors.Normalize` instance for
scaling data values to colors. If *norm* is *None* and
*colors* is *None*, the default linear scaling is used.
*vmin*, *vmax*: [ *None* | scalar ]
If not *None*, either or both of these values will be
supplied to the :class:`matplotlib.colors.Normalize`
instance, overriding the default color scaling based on
*levels*.
*levels*: [level0, level1, ..., leveln]
A list of floating point numbers indicating the level
curves to draw; eg to draw just the zero contour pass
``levels=[0]``
*origin*: [ *None* | 'upper' | 'lower' | 'image' ]
If *None*, the first value of *Z* will correspond to the
lower left corner, location (0,0). If 'image', the rc
value for ``image.origin`` will be used.
This keyword is not active if *X* and *Y* are specified in
the call to contour.
*extent*: [ *None* | (x0,x1,y0,y1) ]
If *origin* is not *None*, then *extent* is interpreted as
in :func:`matplotlib.pyplot.imshow`: it gives the outer
pixel boundaries. In this case, the position of Z[0,0]
is the center of the pixel, not a corner. If *origin* is
*None*, then (*x0*, *y0*) is the position of Z[0,0], and
(*x1*, *y1*) is the position of Z[-1,-1].
This keyword is not active if *X* and *Y* are specified in
the call to contour.
*locator*: [ *None* | ticker.Locator subclass ]
If *locator* is *None*, the default
:class:`~matplotlib.ticker.MaxNLocator` is used. The
locator is used to determine the contour levels if they
are not given explicitly via the *V* argument.
*extend*: [ 'neither' | 'both' | 'min' | 'max' ]
Unless this is 'neither', contour levels are automatically
added to one or both ends of the range so that all data
are included. These added ranges are then mapped to the
special colormap values which default to the ends of the
colormap range, but can be set via
:meth:`matplotlib.colors.Colormap.set_under` and
:meth:`matplotlib.colors.Colormap.set_over` methods.
*xunits*, *yunits*: [ *None* | registered units ]
Override axis units by specifying an instance of a
:class:`matplotlib.units.ConversionInterface`.
*antialiased*: [ *True* | *False* ]
enable antialiasing, overriding the defaults. For
filled contours, the default is *True*. For line contours,
it is taken from rcParams['lines.antialiased'].
contour-only keyword arguments:
*linewidths*: [ *None* | number | tuple of numbers ]
If *linewidths* is *None*, the default width in
``lines.linewidth`` in ``matplotlibrc`` is used.
If a number, all levels will be plotted with this linewidth.
If a tuple, different levels will be plotted with different
linewidths in the order specified
*linestyles*: [ *None* | 'solid' | 'dashed' | 'dashdot' | 'dotted' ]
If *linestyles* is *None*, the default is 'solid' unless
the lines are monochrome. In that case, negative
contours will take their linestyle from the ``matplotlibrc``
``contour.negative_linestyle`` setting.
*linestyles* can also be an iterable of the above strings
specifying a set of linestyles to be used. If this
iterable is shorter than the number of contour levels
it will be repeated as necessary.
contourf-only keyword arguments:
*nchunk*: [ 0 | integer ]
If 0, no subdivision of the domain. Specify a positive integer to
divide the domain into subdomains of roughly *nchunk* by *nchunk*
points. This may never actually be advantageous, so this option may
be removed. Chunking introduces artifacts at the chunk boundaries
unless *antialiased* is *False*.
*hatches*:
A list of cross hatch patterns to use on the filled areas.
If None, no hatching will be added to the contour.
Hatching is supported in the PostScript, PDF, SVG and Agg
backends only.
Note: contourf fills intervals that are closed at the top; that
is, for boundaries *z1* and *z2*, the filled region is::
z1 < z <= z2
There is one exception: if the lowest boundary coincides with
the minimum value of the *z* array, then that minimum value
will be included in the lowest interval.
**Examples:**
.. plot:: mpl_examples/pylab_examples/contour_demo.py
.. plot:: mpl_examples/pylab_examples/contourf_demo.py
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