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()#
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, alpha=1, markersize=50, marker='o', zorder=5, facecolor='#fec7b8', edgecolor='black', clip=True, aspect_ratio='automatic', **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: 1markersize
– default: 50marker
- The style of the markers (default"o"
). See the documentation ofplot()
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