matplotlib.axes.Axes.contour   Axes.contour(*args, data=None, **kwargs)[source]
 
Plot contour lines. Call signature: contour([X, Y,] Z, [levels], **kwargs)
 contour and contourf draw contour lines and filled contours, respectively. Except as noted, function signatures and return values are the same for both versions.  Parameters 
 
X, Yarray-like, optional


The coordinates of the values in Z. X and Y must both be 2D with the same shape as Z (e.g. created via numpy.meshgrid), or they must both be 1-D such that len(X) == N is the number of columns in Z and len(Y) == M is the number of rows in Z. X and Y must both be ordered monotonically. If not given, they are assumed to be integer indices, i.e. X = range(N), Y = range(M).  
Z(M, N) array-like


The height values over which the contour is drawn.  
levelsint or array-like, optional


Determines the number and positions of the contour lines / regions. If an int n, use MaxNLocator, which tries to automatically choose no more than n+1 "nice" contour levels between vmin and vmax. If array-like, draw contour lines at the specified levels. The values must be in increasing order.    Returns 
 QuadContourSet
  Other Parameters 
 
corner_maskbool, default: rcParams["contour.corner_mask"] (default: True)


Enable/disable corner masking, which only has an effect if Z is a masked array. If False, any quad touching a masked point is masked out. If True, only the triangular corners of quads nearest those points are always masked out, other triangular corners comprising three unmasked points are contoured as usual.  
colorscolor string or sequence of colors, optional


The colors of the levels, i.e. the lines for contour and the areas for contourf. The sequence is cycled for the levels in ascending order. If the sequence is shorter than the number of levels, it's repeated. As a shortcut, single color strings may be used in place of one-element lists, i.e. 'red' instead of ['red'] to color all levels with the same color. This shortcut does only work for color strings, not for other ways of specifying colors. By default (value None), the colormap specified by cmap will be used.  
alphafloat, default: 1


The alpha blending value, between 0 (transparent) and 1 (opaque).  
cmapstr or Colormap, default: rcParams["image.cmap"] (default: 'viridis')


A Colormap instance or registered colormap name. The colormap maps the level values to colors. If both colors and cmap are given, an error is raised.  
normNormalize, optional


If a colormap is used, the Normalize instance scales the level values to the canonical colormap range [0, 1] for mapping to colors. If not given, the default linear scaling is used.  
vmin, vmaxfloat, optional


If not None, either or both of these values will be supplied to the Normalize instance, overriding the default color scaling based on levels.  
origin{None, 'upper', 'lower', 'image'}, default: None


Determines the orientation and exact position of Z by specifying the position of Z[0, 0]. This is only relevant, if X, Y are not given.  
None: Z[0, 0] is at X=0, Y=0 in the lower left corner. 'lower': Z[0, 0] is at X=0.5, Y=0.5 in the lower left corner. 'upper': Z[0, 0] is at X=N+0.5, Y=0.5 in the upper left corner. 'image': Use the value from rcParams["image.origin"] (default: 'upper').   
extent(x0, x1, y0, y1), optional


If origin is not None, then extent is interpreted as in 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 argument is ignored if X and Y are specified in the call to contour.  
locatorticker.Locator subclass, optional


The locator is used to determine the contour levels if they are not given explicitly via levels. Defaults to MaxNLocator.  
extend{'neither', 'both', 'min', 'max'}, default: 'neither'


Determines the contourf-coloring of values that are outside the levels range. If 'neither', values outside the levels range are not colored. If 'min', 'max' or 'both', color the values below, above or below and above the levels range. Values below min(levels) and above max(levels) are mapped to the under/over values of the Colormap. Note that most colormaps do not have dedicated colors for these by default, so that the over and under values are the edge values of the colormap. You may want to set these values explicitly using Colormap.set_under and Colormap.set_over.  Note An existing QuadContourSet does not get notified if properties of its colormap are changed. Therefore, an explicit call QuadContourSet.changed() is needed after modifying the colormap. The explicit call can be left out, if a colorbar is assigned to the QuadContourSet because it internally calls QuadContourSet.changed().  Example: x = np.arange(1, 10)
y = x.reshape(-1, 1)
h = x * y

cs = plt.contourf(h, levels=[10, 30, 50],
    colors=['#808080', '#A0A0A0', '#C0C0C0'], extend='both')
cs.cmap.set_over('red')
cs.cmap.set_under('blue')
cs.changed()
  
xunits, yunitsregistered units, optional


Override axis units by specifying an instance of a matplotlib.units.ConversionInterface.  
antialiasedbool, optional


Enable antialiasing, overriding the defaults. For filled contours, the default is True. For line contours, it is taken from rcParams["lines.antialiased"] (default: True).  
nchunkint >= 0, optional


If 0, no subdivision of the domain. Specify a positive integer to divide the domain into subdomains of nchunk by nchunk quads. Chunking reduces the maximum length of polygons generated by the contouring algorithm which reduces the rendering workload passed on to the backend and also requires slightly less RAM. It can however introduce rendering artifacts at chunk boundaries depending on the backend, the antialiased flag and value of alpha.  
linewidthsfloat or array-like, default: rcParams["contour.linewidth"] (default: None)


Only applies to contour. The line width of the contour lines. If a number, all levels will be plotted with this linewidth. If a sequence, the levels in ascending order will be plotted with the linewidths in the order specified. If None, this falls back to rcParams["lines.linewidth"] (default: 1.5).  
linestyles{None, 'solid', 'dashed', 'dashdot', 'dotted'}, optional


Only applies to contour. If linestyles is None, the default is 'solid' unless the lines are monochrome. In that case, negative contours will take their linestyle from rcParams["contour.negative_linestyle"] (default: 'dashed') 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.  
hatcheslist[str], optional


Only applies to contourf. 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.  
dataindexable object, optional


If given, all parameters also accept a string s, which is interpreted as data[s] (unless this raises an exception).     Notes  
contourf differs from the MATLAB version in that it does not draw the polygon edges. To draw edges, add line contours with calls to contour. 
contourf fills intervals that are closed at the top; that is, for boundaries z1 and z2, the filled region is: z1 < Z <= z2
 except for the lowest interval, which is closed on both sides (i.e. it includes the lowest value).  
contour and contourf use a marching squares algorithm to compute contour locations. More information can be found in the source src/_contour.h.  
  Examples using matplotlib.axes.Axes.contour
 
   Contour Corner Mask   

   Contour Demo   

   Contour Label Demo   

   Contourf Demo   

   Contourf Hatching   

   Contouring the solution space of optimizations   

   Blend transparency with color in 2D images   

   Contour plot of irregularly spaced data   

   Patheffect Demo   

   TickedStroke patheffect   

   Demonstrates plotting contour (level) curves in 3D   

   Demonstrates plotting contour (level) curves in 3D using the extend3d option   

   Projecting contour profiles onto a graph   

   contour(X, Y, Z)