def __init__(self,
vars,
title=None,
palette='heat.gp',
grid=True,
dpi=75,
limits={},
**kwlimits):
"""Creates a `Gist2DViewer`.
:Parameters:
vars
a `CellVariable` object.
title
displayed at the top of the `Viewer` window
palette
the color scheme to use for the image plot. Default is
`heat.gp`. Another choice would be `rainbow.gp`.
grid
whether to show the grid lines in the plot.
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, ymin, ymax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=" ", dpi=dpi, **kwlimits)
self.palette = palette
self.grid = grid
def __init__(self,
vars,
title=None,
xlog=0,
ylog=0,
style="work.gs",
limits={},
**kwlimits):
"""
Creates a `Gist1DViewer`.
:Parameters:
vars
a `CellVariable` or tuple of `CellVariable` objects to plot
title
displayed at the top of the `Viewer` window
xlog
log scaling of x axis if `True`
ylog
log scaling of y axis if `True`
stye
the Gist stylefile to use.
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
(*ymin* and *ymax* are synonyms for *datamin* and *datamax*).
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=title, **kwlimits)
self.xlog = xlog
self.ylog = ylog
self.style = style
def __init__(self, vars, title=None, xlog=0, ylog=0, style="work.gs", limits={}, **kwlimits):
"""
Creates a `Gist1DViewer`.
:Parameters:
vars
a `CellVariable` or tuple of `CellVariable` objects to plot
title
displayed at the top of the `Viewer` window
xlog
log scaling of x axis if `True`
ylog
log scaling of y axis if `True`
stye
the Gist stylefile to use.
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
(*ymin* and *ymax* are synonyms for *datamin* and *datamax*).
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=title, **kwlimits)
self.xlog = xlog
self.ylog = ylog
self.style = style
def __init__(self, vars, title=None, limits={}, **kwlimits):
"""Creates a `GistVectorViewer`.
:Parameters:
vars
a rank-1 `CellVariable` or `FaceVariable` object.
title
displayed at the top of the `Viewer` window
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, ymin, ymax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=title, **kwlimits)
def __init__(self, vars, title=None, limits={}, **kwlimits):
"""Creates a `GistVectorViewer`.
:Parameters:
vars
a rank-1 `CellVariable` or `FaceVariable` object.
title
displayed at the top of the `Viewer` window
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, ymin, ymax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=title, **kwlimits)
def __init__(self, vars, title=None, palette='heat.gp', grid=True, dpi=75, limits={}, **kwlimits):
"""Creates a `Gist2DViewer`.
:Parameters:
vars
a `CellVariable` object.
title
displayed at the top of the `Viewer` window
palette
the color scheme to use for the image plot. Default is
`heat.gp`. Another choice would be `rainbow.gp`.
grid
whether to show the grid lines in the plot.
limits : dict
a (deprecated) alternative to limit keyword arguments
xmin, xmax, ymin, ymax, datamin, datamax
displayed range of data. Any limit set to
a (default) value of `None` will autoscale.
"""
kwlimits.update(limits)
_GistViewer.__init__(self, vars=vars, title=" ", dpi=dpi, **kwlimits)
self.palette = palette
self.grid = grid
