11.1.1.2. astroML.plotting.scatter_contour¶
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astroML.plotting.scatter_contour(x, y, levels=10, threshold=100, log_counts=False, histogram2d_args=None, plot_args=None, contour_args=None, filled_contour=True, ax=None)[source]¶ Scatter plot with contour over dense regions
- Parameters
- x, yarrays
x and y data for the contour plot
- levelsinteger or array (optional, default=10)
number of contour levels, or array of contour levels
- thresholdfloat (default=100)
number of points per 2D bin at which to begin drawing contours
- log_counts :boolean (optional)
if True, contour levels are the base-10 logarithm of bin counts.
- histogram2d_argsdict
keyword arguments passed to numpy.histogram2d see doc string of numpy.histogram2d for more information
- plot_argsdict
keyword arguments passed to plt.plot. By default it will use dict(marker=’.’, linestyle=’none’). see doc string of pylab.plot for more information
- contour_argsdict
keyword arguments passed to plt.contourf or plt.contour see doc string of pylab.contourf for more information
- filled_contourbool
If True (default) use filled contours. Otherwise, use contour outlines.
- axpylab.Axes instance
the axes on which to plot. If not specified, the current axes will be used
- Returns
- points, contours :
points is the return value of ax.plot() contours is the return value of ax.contour or ax.contourf