radius : float
The radius of the sphere to generate.
unit : string
The unit in which the given radius is expressed.
fields : list of strings
The first element of this list is the field by which we will bin
into the y-axis, the second is the field by which we will bin onto
the y-axis. All subsequent fields will be binned and their
profiles added to the underlying BinnedProfile2D.
center : array_like, optional
The center to be used for things like radius and radial velocity.
Defaults to the center of the plot collection.
cmap : string, optional
An acceptable colormap. See either raven.color_maps or
http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps .
weight : string, default “CellMassMsun”
The weighting field for an average. This defaults to mass-weighted
averaging.
accumulation : list of booleans, optional
If true, from the low-value to the high-value the values in all
binned fields will be accumulated. This is useful for instance
when adding an unweighted CellMassMsun to a radial plot, as it will
show mass interior to that radius. The first value is for the
x-axis, the second value for the y-axis. Note that accumulation
will only be along each row or column.
x_bins : int, optional
How many bins should there be in the x-axis variable?
x_log : boolean, optional
Should the bin edges be log-spaced?
x_bounds : tuple of floats, optional
If specified, the boundary values for the binning. If unspecified,
the min/max from the data_source will be used. (Non-zero min/max
in case of log-spacing.)
y_bins : int, optional
How many bins should there be in the y-axis variable?
y_log : boolean, optional
Should the bin edges be log-spaced?
y_bounds : tuple of floats, optional
If specified, the boundary values for the binning. If unspecified,
the min/max from the data_source will be used. (Non-zero min/max
in case of log-spacing.)
lazy_reader : boolean, optional
If this is false, all of the data will be read into memory before
any processing occurs. It defaults to true, and grids are binned
on a one-by-one basis. Note that parallel computation requires
this to be true.
id : int, optional
If specified, this will be the “semi-unique id” of the resultant
plot. This should not be set.
figure : matplotlib.figure.Figure, optional
The figure onto which the axes will be placed. Typically not used
unless axes is also specified.
axes : matplotlib.axes.Axes, optional
The axes object which will be used to create the image plot.
Typically used for things like multiplots and the like.
fractional : boolean
If true, the plot will be normalized to the sum of all the binned
values.
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