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contour
matplotlib.contour
These are classes to support contour plotting and labelling for the Axes class.
class matplotlib.contour.ClabelText(x=0, y=0, text='', color=None, verticalalignment='baseline', horizontalalignment='left', multialignment=None, fontproperties=None, rotation=None, linespacing=None, rotation_mode=None, usetex=None, wrap=False, **kwargs)[source]-
Bases:
matplotlib.text.TextUnlike 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).
Create a
Textinstance at x, y with string text.Valid kwargs are
Property Description agg_filtera filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alphafloat (0.0 transparent through 1.0 opaque) animatedbool backgroundcolorany matplotlib color bboxFancyBboxPatch prop dict clip_boxa matplotlib.transforms.Bboxinstanceclip_onbool clip_path[ ( Path,Transform) |Patch| None ]colorany matplotlib color containsa callable function familyor fontfamily or fontname or name[FONTNAME | 'serif' | 'sans-serif' | 'cursive' | 'fantasy' | 'monospace' ] figurea Figureinstancefontpropertiesor font_propertiesa matplotlib.font_manager.FontPropertiesinstancegidan id string horizontalalignmentor ha[ 'center' | 'right' | 'left' ] labelobject linespacingfloat (multiple of font size) multialignmentor ma['left' | 'right' | 'center' ] path_effectsAbstractPathEffectpicker[None | bool | float | callable] position(x,y) rasterizedbool or None rotation[ angle in degrees | 'vertical' | 'horizontal' ] rotation_mode[ None | "default" | "anchor" ] sizeor fontsize[size in points | 'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' | 'xx-large' ] sketch_params(scale: float, length: float, randomness: float) snapbool or None stretchor fontstretch[a numeric value in range 0-1000 | 'ultra-condensed' | 'extra-condensed' | 'condensed' | 'semi-condensed' | 'normal' | 'semi-expanded' | 'expanded' | 'extra-expanded' | 'ultra-expanded' ] styleor fontstyle[ 'normal' | 'italic' | 'oblique'] textstring or anything printable with '%s' conversion. transformTransformurla url string usetexbool or None variantor fontvariant[ 'normal' | 'small-caps' ] verticalalignmentor va[ 'center' | 'top' | 'bottom' | 'baseline' ] visiblebool weightor fontweight[a numeric value in range 0-1000 | 'ultralight' | 'light' | 'normal' | 'regular' | 'book' | 'medium' | 'roman' | 'semibold' | 'demibold' | 'demi' | 'bold' | 'heavy' | 'extra bold' | 'black' ] wrapbool xfloat yfloat zorderfloat get_rotation()[source]-
return the text angle as float in degrees
class matplotlib.contour.ContourLabeler[source]-
Bases:
objectMixin to provide labelling capability to
ContourSet.add_label_clabeltext(x, y, rotation, lev, cvalue)[source]-
Add contour label using
ClabelTextclass.
add_label_near(x, y, inline=True, inline_spacing=5, transform=None)[source]-
Add a label near the point (x, y). If transform is None (default), (x, y) is in data coordinates; if transform is False, (x, y) is in display coordinates; otherwise, the specified transform will be used to translate (x, y) into display coordinates.
Parameters: -
x, y : float -
The approximate location of the label.
-
inline : bool, optional, default: True -
If True remove the segment of the contour beneath the label.
-
inline_spacing : int, optional, default: 5 -
Space in pixels to leave on each side of label when placing inline. This spacing will be exact for labels at locations where the contour is straight, less so for labels on curved contours.
-
calc_label_rot_and_inline(slc, ind, lw, lc=None, spacing=5)[source]-
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 calculating path lengths 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.
clabel(*args, **kwargs)[source]-
Label a contour plot.
Call signature:
clabel(cs, **kwargs)Adds labels to line contours in cs, where cs is a
ContourSetobject returned by contour.clabel(cs, v, **kwargs)only labels contours listed in v.
Parameters: -
fontsize : string or float, optional -
Size in points or relative size e.g., 'smaller', 'x-large'. See
Text.set_sizefor accepted string values. - colors :
-
Color of each label
- 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 : bool, optional -
If
Truethe underlying contour is removed where the label is placed. Default isTrue. -
inline_spacing : float, optional -
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 : string or dict, optional -
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
Formatterinstance, that returns a string when called with a numeric contour level. -
manual : bool or iterable, optional -
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 also 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 : bool, optional -
If
True, label rotations will always be plus or minus 90 degrees from level. Default isTrue. -
use_clabeltext : bool, optional -
If
True,ClabelTextclass (instead ofText) is used to create labels.ClabelTextrecalculates rotation angles of texts during the drawing time, therefore this can be used if aspect of the axes changes. Default isFalse.
-
get_label_coords(distances, XX, YY, ysize, lw)[source]-
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.
get_label_width(lev, fmt, fsize)[source]-
Return the width of the label in points.
get_real_label_width(lev, fmt, fsize)[source]-
Deprecated since version 2.2: The get_real_label_width function was deprecated in version 2.2.
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.
get_text(lev, fmt)[source]-
Get the text of the label.
labels(inline, inline_spacing)[source]
locate_label(linecontour, labelwidth)[source]-
Find good place to draw a label (relatively flat part of the contour).
pop_label(index=-1)[source]-
Defaults to removing last label, but any index can be supplied
print_label(linecontour, labelwidth)[source]-
Return False if contours are too short for a label.
set_label_props(label, text, color)[source]-
Set the label properties - color, fontsize, text.
too_close(x, y, lw)[source]-
Return True if a label is already near this location.
class matplotlib.contour.ContourSet(ax, *args, **kwargs)[source]-
Bases:
matplotlib.cm.ScalarMappable,matplotlib.contour.ContourLabelerStore a set of contour lines or filled regions.
User-callable method:
clabelParameters: -
ax : Axes -
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 regionslen(allsegs) = len(levels)-1. The lists should look like: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). The lists should look like:level0kinds = [polygon0kinds, ...] polygon0kinds = [vertexcode0, vertexcode1, ...]If allkinds is not
None, usually all polygons for a particular contour level are grouped together so thatlevel0segs = [polygon0]andlevel0kinds = [polygon0kinds]. - kwargs :
-
Keyword arguments are as described in the docstring of
contour.
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
_process_colors().
Draw contour lines or filled regions, depending on whether keyword arg filled is
False(default) orTrue.Call signature:
ContourSet(ax, levels, allsegs, [allkinds], **kwargs)Parameters: - ax :
-
The
Axesobject to draw on. -
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 regionslen(allsegs) = len(levels)-1. The lists should look like:level0segs = [polygon0, polygon1, ...] polygon0 = array_like [[x0,y0], [x1,y1], ...] -
allkinds : [level0kinds, level1kinds, ...], optional -
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). The lists should look like:level0kinds = [polygon0kinds, ...] polygon0kinds = [vertexcode0, vertexcode1, ...]If allkinds is not
None, usually all polygons for a particular contour level are grouped together so thatlevel0segs = [polygon0]andlevel0kinds = [polygon0kinds]. - **kwargs
-
Keyword arguments are as described in the docstring of
contour.
changed()[source]-
Call this whenever the mappable is changed to notify all the callbackSM listeners to the 'changed' signal
find_nearest_contour(x, y, indices=None, pixel=True)[source]-
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.
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.
get_alpha()[source]-
returns alpha to be applied to all ContourSet artists
legend_elements(variable_name='x', str_format=<class 'str'>)[source]-
Return a list of artists and labels suitable for passing through to
plt.legend()which represent this ContourSet.The labels have the form "0 < x <= 1" stating the data ranges which the artists represent.
Parameters: -
variable_name : str -
The string used inside the inequality used on the labels.
-
str_format : function: float -> str -
Function used to format the numbers in the labels.
Returns: -
artists : List[Artist] -
A list of the artists.
-
labels : List[str] -
A list of the labels.
-
set_alpha(alpha)[source]-
Set the alpha blending value for all ContourSet artists. alpha must be between 0 (transparent) and 1 (opaque).
-
class matplotlib.contour.QuadContourSet(ax, *args, **kwargs)[source]-
Bases:
matplotlib.contour.ContourSetCreate and store a set of contour lines or filled regions.
User-callable method:
clabelAttributes: - 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
_process_colors()method.
Draw contour lines or filled regions, depending on whether keyword arg filled is
False(default) orTrue.Call signature:
ContourSet(ax, levels, allsegs, [allkinds], **kwargs)Parameters: - ax :
-
The
Axesobject to draw on. -
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 regionslen(allsegs) = len(levels)-1. The lists should look like:level0segs = [polygon0, polygon1, ...] polygon0 = array_like [[x0,y0], [x1,y1], ...] -
allkinds : [level0kinds, level1kinds, ...], optional -
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). The lists should look like:level0kinds = [polygon0kinds, ...] polygon0kinds = [vertexcode0, vertexcode1, ...]If allkinds is not
None, usually all polygons for a particular contour level are grouped together so thatlevel0segs = [polygon0]andlevel0kinds = [polygon0kinds]. - **kwargs
-
Keyword arguments are as described in the docstring of
contour.
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https://matplotlib.org/2.2.3/api/contour_api.html