Scatter plots

class sage.plot.scatter_plot.ScatterPlot(xdata, ydata, options)

Bases: GraphicPrimitive

Scatter plot graphics primitive.

Input consists of two lists/arrays of the same length, whose values give the horizontal and vertical coordinates of each point in the scatter plot. Options may be passed in dictionary format.

EXAMPLES:

sage: from sage.plot.scatter_plot import ScatterPlot
sage: ScatterPlot([0,1,2], [3.5,2,5.1], {'facecolor':'white', 'marker':'s'})
Scatter plot graphics primitive on 3 data points

get_minmax_data()

Return a dictionary with the bounding box data.

EXAMPLES:

sage: s = scatter_plot([[0,1],[2,4],[3.2,6]])
sage: d = s.get_minmax_data()
sage: d['xmin']
...0.0...
sage: d['ymin']
...1.0...

sage.plot.scatter_plot.scatter_plot(datalist, alpha=1, markersize=50, marker='o', zorder=5, facecolor='#fec7b8', edgecolor='black', clip=True, aspect_ratio='automatic', **options)

Return a Graphics object of a scatter plot containing all points in the datalist. Type scatter_plot.options to see all available plotting options.

INPUT:

• datalist – list of tuples (x,y)

• alpha – (default: 1)

• markersize – (default: 50)

• marker – the style of the markers (default: 'o'); see the documentation of plot() for the full list of markers

• facecolor – (default: '#fec7b8')

• edgecolor – (default: 'black')

• zorder – (default: 5)

EXAMPLES:

sage: scatter_plot([[0,1],[2,2],[4.3,1.1]], marker='s')
Graphics object consisting of 1 graphics primitive

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

sage: scatter_plot([(0, 0), (1, 1)], markersize=100, facecolor='green', ymax=100)
Graphics object consisting of 1 graphics primitive
sage: scatter_plot([(0, 0), (1, 1)], markersize=100, facecolor='green').show(ymax=100) # These are equivalent