Scatter Plots

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

Bases: sage.plot.primitive.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()

Returns 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, edgecolor='black', facecolor='#fec7b8', clip=True, markersize=50, aspect_ratio='automatic', zorder=5, marker='o', alpha=1, **options)

Returns 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 – a 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