healpy.projaxes.HpxGnomonicAxes.eventplot

HpxGnomonicAxes.eventplot(positions, orientation='horizontal', lineoffsets=1, linelengths=1, linewidths=None, colors=None, linestyles='solid', **kwargs)

Plot identical parallel lines at specific positions.

Call signature:

eventplot(positions, orientation='horizontal', lineoffsets=0,
          linelengths=1, linewidths=None, color =None,
          linestyles='solid'

Plot parallel lines at the given positions. positions should be a 1D or 2D array-like object, with each row corresponding to a row or column of lines.

This type of plot is commonly used in neuroscience for representing neural events, where it is commonly called a spike raster, dot raster, or raster plot.

However, it is useful in any situation where you wish to show the timing or position of multiple sets of discrete events, such as the arrival times of people to a business on each day of the month or the date of hurricanes each year of the last century.

orientation : [ ‘horizonal’ | ‘vertical’ ]

‘horizonal’ : the lines will be vertical and arranged in rows “vertical’ : lines will be horizontal and arranged in columns

lineoffsets :

A float or array-like containing floats.

linelengths :

A float or array-like containing floats.

linewidths :

A float or array-like containing floats.

colors

must be a sequence of RGBA tuples (eg arbitrary color strings, etc, not allowed) or a list of such sequences

linestyles :

[ ‘solid’ | ‘dashed’ | ‘dashdot’ | ‘dotted’ ] or an array of these values

For linelengths, linewidths, colors, and linestyles, if only a single value is given, that value is applied to all lines. If an array-like is given, it must have the same length as positions, and each value will be applied to the corresponding row or column in positions.

Returns a list of matplotlib.collections.EventCollection objects that were added.

kwargs are LineCollection properties:

agg_filter: unknown alpha: float or None animated: [True | False] antialiased or antialiaseds: Boolean or sequence of booleans array: unknown axes: an Axes instance clim: a length 2 sequence of floats clip_box: a matplotlib.transforms.Bbox instance clip_on: [True | False] clip_path: [ (Path, Transform) | Patch | None ] cmap: a colormap or registered colormap name color: matplotlib color arg or sequence of rgba tuples contains: a callable function edgecolor or edgecolors: matplotlib color arg or sequence of rgba tuples facecolor or facecolors: matplotlib color arg or sequence of rgba tuples figure: a matplotlib.figure.Figure instance gid: an id string hatch: [ ‘/’ | ‘\’ | ‘|’ | ‘-‘ | ‘+’ | ‘x’ | ‘o’ | ‘O’ | ‘.’ | ‘*’ ] label: string or anything printable with ‘%s’ conversion. linestyle or linestyles or dashes: [‘solid’ | ‘dashed’, ‘dashdot’, ‘dotted’ | (offset, on-off-dash-seq) ] linewidth or lw or linewidths: float or sequence of floats lod: [True | False] norm: unknown offset_position: unknown offsets: float or sequence of floats path_effects: unknown paths: unknown picker: [None|float|boolean|callable] pickradius: unknown rasterized: [True | False | None] segments: unknown sketch_params: unknown snap: unknown transform: Transform instance url: a url string urls: unknown verts: unknown visible: [True | False] zorder: any number

Example: