Density plots#

class sage.plot.density_plot.DensityPlot(xy_data_array, xrange, yrange, options)#

Bases: GraphicPrimitive

Primitive class for the density plot graphics type. See density_plot? for help actually doing density plots.

INPUT:

xy_data_array - list of lists giving evaluated values of the function on the grid
xrange - tuple of 2 floats indicating range for horizontal direction
yrange - tuple of 2 floats indicating range for vertical direction
options - dict of valid plot options to pass to constructor

EXAMPLES:

Note this should normally be used indirectly via density_plot:

sage: from sage.plot.density_plot import DensityPlot
sage: D = DensityPlot([[1,3],[2,4]], (1,2), (2,3),options={})
sage: D
DensityPlot defined by a 2 x 2 data grid
sage: D.yrange
(2, 3)
sage: D.options()
{}

get_minmax_data()#

Returns a dictionary with the bounding box data.

EXAMPLES:

sage: x,y = var('x,y')
sage: f(x, y) = x^2 + y^2
sage: d = density_plot(f, (3,6), (3,6))[0].get_minmax_data()
sage: d['xmin']
3.0
sage: d['ymin']
3.0

sage.plot.density_plot.density_plot(f, xrange, yrange, plot_points=25, cmap='gray', interpolation='catrom', **options)#

density_plot takes a function of two variables, \(f(x,y)\) and plots the height of the function over the specified xrange and yrange as demonstrated below.

density_plot(f, (xmin,xmax), (ymin,ymax), ...)

INPUT:

f – a function of two variables
(xmin,xmax) – 2-tuple, the range of x values OR 3-tuple (x,xmin,xmax)
(ymin,ymax) – 2-tuple, the range of y values OR 3-tuple (y,ymin,ymax)

The following inputs must all be passed in as named parameters:

plot_points – integer (default: 25); number of points to plot in each direction of the grid
cmap – a colormap (default: 'gray'), the name of a predefined colormap, a list of colors or an instance of a matplotlib Colormap. Type: import matplotlib.cm; matplotlib.cm.datad.keys() for available colormap names.
interpolation – string (default: 'catrom'), the interpolation method to use: 'bilinear', 'bicubic', 'spline16', 'spline36', 'quadric', 'gaussian', 'sinc', 'bessel', 'mitchell', 'lanczos', 'catrom', 'hermite', 'hanning', 'hamming', 'kaiser'

EXAMPLES:

Here we plot a simple function of two variables. Note that since the input function is an expression, we need to explicitly declare the variables in 3-tuples for the range:

sage: x,y = var('x,y')
sage: density_plot(sin(x) * sin(y), (x,-2,2), (y,-2,2))
Graphics object consisting of 1 graphics primitive

Here we change the ranges and add some options; note that here f is callable (has variables declared), so we can use 2-tuple ranges:

sage: x,y = var('x,y')
sage: f(x,y) = x^2 * cos(x*y)
sage: density_plot(f, (x,-10,5), (y,-5,5), interpolation='sinc', plot_points=100)
Graphics object consisting of 1 graphics primitive

An even more complicated plot:

sage: x,y = var('x,y')
sage: density_plot(sin(x^2+y^2) * cos(x) * sin(y), (x,-4,4), (y,-4,4), cmap='jet', plot_points=100)
Graphics object consisting of 1 graphics primitive

This should show a “spotlight” right on the origin:

sage: x,y = var('x,y')
sage: density_plot(1/(x^10 + y^10), (x,-10,10), (y,-10,10))
Graphics object consisting of 1 graphics primitive

Some elliptic curves, but with symbolic endpoints. In the first example, the plot is rotated 90 degrees because we switch the variables \(x\), \(y\):

sage: density_plot(y^2 + 1 - x^3 - x, (y,-pi,pi), (x,-pi,pi))
Graphics object consisting of 1 graphics primitive

sage: density_plot(y^2 + 1 - x^3 - x, (x,-pi,pi), (y,-pi,pi))
Graphics object consisting of 1 graphics primitive

Extra options will get passed on to show(), as long as they are valid:

sage: density_plot(log(x) + log(y), (x,1,10), (y,1,10), aspect_ratio=1)
Graphics object consisting of 1 graphics primitive

sage: density_plot(log(x) + log(y), (x,1,10), (y,1,10)).show(aspect_ratio=1) # These are equivalent