ScatterPlot

class nata.plots.types.ScatterPlot(label: Optional[str] = None, data: nata.plots.data.PlotData = None, axes: Any = None, s: Optional[float] = 0.1, c: Optional[str] = None, marker: Optional[str] = None, alpha: Optional[float] = None, vmin: Optional[float] = None, vmax: Optional[float] = None, cb_map: Optional[str] = 'rainbow', cb_scale: Optional[str] = 'linear', cb_linthresh: Optional[float] = 1e-05, cb_title: Optional[str] = None)

Color plot class.

Parameters

  • s (float, optional) – Marker size in in points**2. If not provided, defaults to 0.1

  • c (str, optional) – Color of the markers. See matplotlib.colors for available options.

  • marker (str, optional) – Marker style. See matplotlib.markers for available options.

  • alpha (float, optional) – Marker alpha value. Must be between 0 and 1.

  • vmin (float, optional) – Minimum of the colorbar axis. If not provided, it is inferred from the dataset represented in the plot.

  • vmax (float, optional) – Same as vmin for the maximum of the colorbar axis.

  • cb_title (str, optional) – Colorbar title. If not provided, it is inferred from the dataset represented in the plot.

  • cb_scale ({'linear','log', 'symlog'}, optional) – Scale of the colorbar. If not provided, defaults to 'linear'.

  • cb_map (str, optional) – Colormap used to represent the data. See matplotlib.pyplot.colormaps() for available options. If not provided, defaults to rainbow.

  • cb_linthresh (float, optional) – Range within which the colorbar axis is linear. Applicable only when cb_scale is set to 'symlog'. If not provided, defaults to 1e-5.

Notes

All colorbar parameters are only applicable if the dataset represented in the plot has a quantity to be represented in color. In this case, c is overriden if set.