def contourf(self, *args, **kwargs):
"""
Plot filled contours on the map.
:param x: (*array_like*) Optional. X coordinate array.
:param y: (*array_like*) Optional. Y coordinate array.
:param z: (*array_like*) 2-D z value array.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level curves
to draw, in increasing order.
:param cmap: (*string*) Color map string.
:param colors: (*list*) If None (default), the colormap specified by cmap will be used. If a
string, like ``r`` or ``red``, all levels will be plotted in this color. If a tuple of matplotlib
color args (string, float, rgb, etc), different levels will be plotted in different colors in
the order specified.
:param proj: (*ProjectionInfo*) Map projection of the data. Default is None.
:param isadd: (*boolean*) Add layer or not. Default is ``True``.
:param zorder: (*int*) Z-order of created layer for display.
:param smooth: (*boolean*) Smooth countour lines or not.
:param select: (*boolean*) Set the return layer as selected layer or not.
:returns: (*VectoryLayer*) Contour VectoryLayer created from array data.
"""
n = len(args)
if n <= 2:
a = args[0]
y = a.dimvalue(0)
x = a.dimvalue(1)
args = args[1:]
else:
x = args[0]
y = args[1]
a = args[2]
args = args[3:]
ls = plotutil.getlegendscheme(args, a.min(), a.max(), **kwargs)
ls = ls.convertTo(ShapeTypes.Polygon)
plotutil.setlegendscheme(ls, **kwargs)
isadd = kwargs.pop('isadd', True)
smooth = kwargs.pop('smooth', True)
layer = DrawMeteoData.createShadedLayer(a.array, x.array, y.array, ls, 'layer', 'data', smooth)
proj = kwargs.pop('proj', None)
if not proj is None:
layer.setProjInfo(proj)
# Add layer
isadd = kwargs.pop('isadd', True)
if isadd:
zorder = kwargs.pop('zorder', None)
select = kwargs.pop('select', True)
if zorder is None:
zorder = 0
self.add_layer(layer, zorder, select)
self.axes.setDrawExtent(layer.getExtent().clone())
self.axes.setExtent(layer.getExtent().clone())
return MILayer(layer)
def imshow(self, *args, **kwargs):
"""
Display an image on the 3D axes.
:param x: (*array_like*) Optional. X coordinate array.
:param y: (*array_like*) Optional. Y coordinate array.
:param z: (*array_like*) 2-D or 3-D (RGB) z value array.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level curves
to draw, in increasing order.
:param cmap: (*string*) Color map string.
:param colors: (*list*) If None (default), the colormap specified by cmap will be used. If a
string, like ‘r’ or ‘red’, all levels will be plotted in this color. If a tuple of matplotlib
color args (string, float, rgb, etc), different levels will be plotted in different colors in
the order specified.
:returns: (*RasterLayer*) RasterLayer created from array data.
"""
n = len(args)
cmap = plotutil.getcolormap(**kwargs)
fill_value = kwargs.pop('fill_value', -9999.0)
xaxistype = None
isrgb = False
if n <= 2:
if isinstance(args[0], (list, tuple)):
isrgb = True
rgbdata = args[0]
if isinstance(rgbdata[0], NDArray):
x = np.arange(0, rgbdata[0].shape[1])
y = np.arange(0, rgbdata[0].shape[0])
else:
x = rgbdata[0].dimvalue(1)
y = rgbdata[0].dimvalue(0)
elif args[0].ndim > 2:
isrgb = True
rgbdata = args[0]
if isinstance(rgbdata, NDArray):
x = np.arange(0, rgbdata.shape[1])
y = np.arange(0, rgbdata.shape[0])
else:
x = rgbdata.dimvalue(1)
y = rgbdata.dimvalue(0)
else:
gdata = np.asgridarray(args[0])
if isinstance(args[0], DimArray):
if args[0].islondim(1):
xaxistype = 'lon'
elif args[0].islatdim(1):
xaxistype = 'lat'
elif args[0].istimedim(1):
xaxistype = 'time'
args = args[1:]
elif n <= 4:
x = args[0]
y = args[1]
a = args[2]
if isinstance(a, (list, tuple)):
isrgb = True
rgbdata = a
elif a.ndim > 2:
isrgb = True
rgbdata = a
else:
gdata = np.asgridarray(a, x, y, fill_value)
args = args[3:]
offset = kwargs.pop('offset', 0)
zdir = kwargs.pop('zdir', 'z')
interpolation = kwargs.pop('interpolation', None)
if isrgb:
if isinstance(rgbdata, (list, tuple)):
rgbd = []
for d in rgbdata:
rgbd.append(d.asarray())
rgbdata = rgbd
else:
rgbdata = rgbdata.asarray()
x = plotutil.getplotdata(x)
y = plotutil.getplotdata(y)
graphics = GraphicFactory.createImage(x, y, rgbdata, offset, zdir,
interpolation)
ls = None
else:
if len(args) > 0:
level_arg = args[0]
if isinstance(level_arg, int):
cn = level_arg
ls = LegendManage.createImageLegend(gdata, cn, cmap)
else:
if isinstance(level_arg, NDArray):
level_arg = level_arg.aslist()
ls = LegendManage.createImageLegend(gdata, level_arg, cmap)
else:
ls = plotutil.getlegendscheme(args, gdata.min(), gdata.max(),
**kwargs)
ls = ls.convertTo(ShapeTypes.Image)
plotutil.setlegendscheme(ls, **kwargs)
if zdir == 'xy':
sepoint = kwargs.pop('sepoint', [0, 0, 1, 1])
else:
sepoint = None
graphics = GraphicFactory.createImage(gdata, ls, offset, zdir,
sepoint, interpolation)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics)
return graphics
def stem(self,
x,
y,
z,
s=8,
c='b',
marker='o',
alpha=None,
linewidth=None,
verts=None,
**kwargs):
"""
Make a 3D scatter plot of x, y and z, where x, y and z are sequence like objects of the same lengths.
:param x: (*array_like*) Input x data.
:param y: (*array_like*) Input y data.
:param z: (*array_like*) Input z data.
:param s: (*int*) Size of points.
:param c: (*Color*) Color of the points. Or z vlaues.
:param alpha: (*int*) The alpha blending value, between 0 (transparent) and 1 (opaque).
:param marker: (*string*) Marker of the points.
:param label: (*string*) Label of the points series.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level
points to draw, in increasing order.
:returns: Points legend break.
"""
#Add data series
label = kwargs.pop('label', 'S_0')
xdata = plotutil.getplotdata(x)
ydata = plotutil.getplotdata(y)
zdata = plotutil.getplotdata(z)
#Set plot data styles
pb, isunique = plotutil.getlegendbreak('point', **kwargs)
pb.setCaption(label)
pstyle = plotutil.getpointstyle(marker)
pb.setStyle(pstyle)
bottom = kwargs.pop('bottom', 0)
samestemcolor = kwargs.pop('samestemcolor', False)
isvalue = False
if len(c) > 1:
if isinstance(c, (NDArray, DimArray)):
isvalue = True
elif isinstance(c[0], (int, long, float)):
isvalue = True
if isvalue:
ls = kwargs.pop('symbolspec', None)
if ls is None:
if isinstance(c, (list, tuple)):
c = np.array(c)
levels = kwargs.pop('levs', None)
if levels is None:
levels = kwargs.pop('levels', None)
if levels is None:
cnum = kwargs.pop('cnum', None)
if cnum is None:
ls = plotutil.getlegendscheme([], c.min(), c.max(),
**kwargs)
else:
ls = plotutil.getlegendscheme([cnum], c.min(), c.max(),
**kwargs)
else:
ls = plotutil.getlegendscheme([levels], c.min(), c.max(),
**kwargs)
ls = plotutil.setlegendscheme_point(ls, **kwargs)
if isinstance(s, int):
for lb in ls.getLegendBreaks():
lb.setSize(s)
else:
n = len(s)
for i in range(0, n):
ls.getLegendBreaks()[i].setSize(s[i])
linefmt = kwargs.pop('linefmt', None)
if linefmt is None:
linefmt = PolylineBreak()
linefmt.setColor(Color.black)
else:
linefmt = plotutil.getlegendbreak('line', **linefmt)[0]
#Create graphics
graphics = GraphicFactory.createStems3D(xdata, ydata, zdata, c.asarray(), \
ls, linefmt, bottom, samestemcolor)
else:
colors = plotutil.getcolors(c, alpha)
pbs = []
if isinstance(s, int):
pb.setSize(s)
if len(colors) == 1:
pb.setColor(colors[0])
pb.setOutlineColor(colors[0])
pbs.append(pb)
else:
n = len(colors)
for i in range(0, n):
npb = pb.clone()
npb.setColor(colors[i])
npb.setOutlineColor(colors[i])
pbs.append(npb)
else:
n = len(s)
if len(colors) == 1:
pb.setColor(colors[0])
pb.setOutlineColor(colors[0])
for i in range(0, n):
npb = pb.clone()
npb.setSize(s[i])
pbs.append(npb)
else:
for i in range(0, n):
npb = pb.clone()
npb.setSize(s[i])
npb.setColor(colors[i])
npb.setOutlineColor(colors[i])
pbs.append(npb)
linefmt = kwargs.pop('linefmt', None)
if linefmt is None:
linefmt = PolylineBreak()
linefmt.setColor(colors[0])
else:
linefmt = plotutil.getlegendbreak('line', **linefmt)[0]
#Create graphics
graphics = GraphicFactory.createStems3D(xdata, ydata, zdata, pbs, linefmt, \
bottom, samestemcolor)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics[0])
self.add_graphic(graphics[1])
return graphics[0], graphics[1]
def plot(self, x, y, z, *args, **kwargs):
"""
Plot 3D lines and/or markers to the axes. *args* is a variable length argument, allowing
for multiple *x, y* pairs with an optional format string.
:param x: (*array_like*) Input x data.
:param y: (*array_like*) Input y data.
:param z: (*array_like*) Input z data.
:param style: (*string*) Line style for plot.
:returns: Legend breaks of the lines.
The following format string characters are accepted to control the line style or marker:
========= ===========
Character Description
========= ===========
'-' solid line style
'--' dashed line style
'-.' dash-dot line style
':' dotted line style
'.' point marker
',' pixel marker
'o' circle marker
'v' triangle_down marker
'^' triangle_up marker
'<' triangle_left marker
'>' triangle_right marker
's' square marker
'p' pentagon marker
'*' star marker
'x' x marker
'D' diamond marker
========= ===========
The following color abbreviations are supported:
========= =====
Character Color
========= =====
'b' blue
'g' green
'r' red
'c' cyan
'm' magenta
'y' yellow
'k' black
========= =====
"""
xdata = plotutil.getplotdata(x)
ydata = plotutil.getplotdata(y)
zdata = plotutil.getplotdata(z)
style = None
if len(args) > 0:
style = args[0]
#Set plot data styles
label = kwargs.pop('label', 'S_1')
mvalues = kwargs.pop('mvalues', None)
if mvalues is None:
if style is None:
line = plotutil.getlegendbreak('line', **kwargs)[0]
line.setCaption(label)
else:
line = plotutil.getplotstyle(style, label, **kwargs)
colors = kwargs.pop('colors', None)
if not colors is None:
colors = plotutil.getcolors(colors)
cbs = []
for color in colors:
cb = line.clone()
cb.setColor(color)
cbs.append(cb)
else:
ls = kwargs.pop('symbolspec', None)
if ls is None:
if isinstance(mvalues, (list, tuple)):
mvalues = np.array(mvalues)
levels = kwargs.pop('levs', None)
if levels is None:
levels = kwargs.pop('levels', None)
if levels is None:
cnum = kwargs.pop('cnum', None)
if cnum is None:
ls = plotutil.getlegendscheme([], mvalues.min(),
mvalues.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([cnum], mvalues.min(),
mvalues.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([levels], mvalues.min(),
mvalues.max(), **kwargs)
ls = plotutil.setlegendscheme_line(ls, **kwargs)
#Add graphics
if mvalues is None:
if colors is None:
graphics = GraphicFactory.createLineString3D(
xdata, ydata, zdata, line)
else:
graphics = GraphicFactory.createLineString3D(
xdata, ydata, zdata, cbs)
else:
mdata = plotutil.getplotdata(mvalues)
graphics = GraphicFactory.createLineString3D(
xdata, ydata, zdata, mdata, ls)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics)
return graphics
def pcolor(self, *args, **kwargs):
"""
Create a pseudocolor plot of a 2-D array in a MapAxes.
:param x: (*array_like*) Optional. X coordinate array.
:param y: (*array_like*) Optional. Y coordinate array.
:param z: (*array_like*) 2-D z value array.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level curves
to draw, in increasing order.
:param cmap: (*string*) Color map string.
:param colors: (*list*) If None (default), the colormap specified by cmap will be used. If a
string, like ‘r’ or ‘red’, all levels will be plotted in this color. If a tuple of matplotlib
color args (string, float, rgb, etc), different levels will be plotted in different colors in
the order specified.
:param fill_value: (*float*) Fill_value. Default is ``-9999.0``.
:param proj: (*ProjectionInfo*) Map projection of the data. Default is None.
:param isadd: (*boolean*) Add layer or not. Default is ``True``.
:param zorder: (*int*) Z-order of created layer for display.
:param select: (*boolean*) Set the return layer as selected layer or not.
:returns: (*VectoryLayer*) Polygon VectoryLayer created from array data.
"""
proj = kwargs.pop('proj', None)
n = len(args)
if n <= 2:
a = args[0]
y = a.dimvalue(0)
x = a.dimvalue(1)
args = args[1:]
else:
x = args[0]
y = args[1]
a = args[2]
args = args[3:]
if a.ndim == 2 and x.ndim == 1:
x, y = minum.meshgrid(x, y)
ls = plotutil.getlegendscheme(args, a.min(), a.max(), **kwargs)
ls = ls.convertTo(ShapeTypes.Polygon)
plotutil.setlegendscheme(ls, **kwargs)
if proj is None or proj.isLonLat():
lonlim = 90
else:
lonlim = 0
x, y = minum.project(x, y, toproj=proj)
layer = ArrayUtil.meshLayer(x.asarray(), y.asarray(), a.asarray(), ls, lonlim)
#layer = ArrayUtil.meshLayer(x.asarray(), y.asarray(), a.asarray(), ls)
if not proj is None:
layer.setProjInfo(proj)
# Add layer
isadd = kwargs.pop('isadd', True)
if isadd:
zorder = kwargs.pop('zorder', None)
select = kwargs.pop('select', True)
if zorder is None:
zorder = 0
self.add_layer(layer, zorder, select)
self.axes.setDrawExtent(layer.getExtent().clone())
self.axes.setExtent(layer.getExtent().clone())
return MILayer(layer)
def scatter(self, *args, **kwargs):
"""
Make a scatter plot on a map.
:param x: (*array_like*) Input x data.
:param y: (*array_like*) Input y data.
:param z: (*array_like*) Input z data.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level curves
to draw, in increasing order.
:param cmap: (*string*) Color map string.
:param colors: (*list*) If None (default), the colormap specified by cmap will be used. If a
string, like ‘r’ or ‘red’, all levels will be plotted in this color. If a tuple, different
levels will be plotted in different colors in the order specified.
:param size: (*int of list*) Marker size.
:param marker: (*string*) Marker of the points.
:param fill: (*boolean*) Fill markers or not. Default is True.
:param edge: (*boolean*) Draw edge of markers or not. Default is True.
:param facecolor: (*Color*) Fill color of markers. Default is black.
:param edgecolor: (*Color*) Edge color of markers. Default is black.
:param proj: (*ProjectionInfo*) Map projection of the data. Default is None.
:param zorder: (*int*) Z-order of created layer for display.
:returns: (*VectoryLayer*) Point VectoryLayer.
"""
n = len(args)
if n == 1:
a = args[0]
y = a.dimvalue(0)
x = a.dimvalue(1)
args = args[1:]
else:
x = args[0]
y = args[1]
if not isinstance(x, MIArray):
x = minum.array(x)
if not isinstance(y, MIArray):
y = minum.array(y)
if n == 2:
a = x
args = args[2:]
else:
a = args[2]
if not isinstance(a, MIArray):
a = minum.array(a)
args = args[3:]
ls = kwargs.pop('symbolspec', None)
if ls is None:
isunique = False
colors = kwargs.get('colors', None)
if not colors is None:
if isinstance(colors, (list, tuple)) and len(colors) == len(x):
isunique = True
size = kwargs.get('size', None)
if not size is None:
if isinstance(size, (list, tuple, MIArray)) and len(size) == len(x):
isunique = True
if isunique:
ls = LegendManage.createUniqValueLegendScheme(len(x), ShapeTypes.Point)
else:
ls = plotutil.getlegendscheme(args, a.min(), a.max(), **kwargs)
ls = plotutil.setlegendscheme_point(ls, **kwargs)
if a.size == ls.getBreakNum() and ls.getLegendType() == LegendType.UniqueValue:
layer = DrawMeteoData.createSTPointLayer_Unique(a.array, x.array, y.array, ls, 'layer', 'data')
else:
layer = DrawMeteoData.createSTPointLayer(a.array, x.array, y.array, ls, 'layer', 'data')
proj = kwargs.pop('proj', None)
if not proj is None:
layer.setProjInfo(proj)
avoidcoll = kwargs.pop('avoidcoll', None)
if not avoidcoll is None:
layer.setAvoidCollision(avoidcoll)
# Add layer
isadd = kwargs.pop('isadd', True)
if isadd:
zorder = kwargs.pop('zorder', None)
select = kwargs.pop('select', True)
self.add_layer(layer, zorder, select)
self.axes.setDrawExtent(layer.getExtent().clone())
self.axes.setExtent(layer.getExtent().clone())
return MILayer(layer)
def imshow(self, *args, **kwargs):
"""
Display an image on the 3D axes.
:param x: (*array_like*) Optional. X coordinate array.
:param y: (*array_like*) Optional. Y coordinate array.
:param z: (*array_like*) 2-D or 3-D (RGB) z value array.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level curves
to draw, in increasing order.
:param cmap: (*string*) Color map string.
:param colors: (*list*) If None (default), the colormap specified by cmap will be used. If a
string, like ‘r’ or ‘red’, all levels will be plotted in this color. If a tuple of matplotlib
color args (string, float, rgb, etc), different levels will be plotted in different colors in
the order specified.
:returns: (*RasterLayer*) RasterLayer created from array data.
"""
n = len(args)
cmap = plotutil.getcolormap(**kwargs)
fill_value = kwargs.pop('fill_value', -9999.0)
xaxistype = None
isrgb = False
if n <= 2:
if isinstance(args[0], (list, tuple)):
isrgb = True
rgbdata = args[0]
if isinstance(rgbdata[0], MIArray):
x = minum.arange(0, rgbdata[0].shape[1])
y = minum.arange(0, rgbdata[0].shape[0])
else:
x = rgbdata[0].dimvalue(1)
y = rgbdata[0].dimvalue(0)
elif args[0].ndim > 2:
isrgb = True
rgbdata = args[0]
if isinstance(rgbdata, MIArray):
x = minum.arange(0, rgbdata.shape[1])
y = minum.arange(0, rgbdata.shape[0])
else:
x = rgbdata.dimvalue(1)
y = rgbdata.dimvalue(0)
else:
gdata = minum.asgridarray(args[0])
if isinstance(args[0], DimArray):
if args[0].islondim(1):
xaxistype = 'lon'
elif args[0].islatdim(1):
xaxistype = 'lat'
elif args[0].istimedim(1):
xaxistype = 'time'
args = args[1:]
elif n <=4:
x = args[0]
y = args[1]
a = args[2]
if isinstance(a, (list, tuple)):
isrgb = True
rgbdata = a
elif a.ndim > 2:
isrgb = True
rgbdata = a
else:
gdata = minum.asgridarray(a, x, y, fill_value)
args = args[3:]
offset = kwargs.pop('offset', 0)
zdir = kwargs.pop('zdir', 'z')
interpolation = kwargs.pop('interpolation', None)
if isrgb:
if isinstance(rgbdata, (list, tuple)):
rgbd = []
for d in rgbdata:
rgbd.append(d.asarray())
rgbdata = rgbd
else:
rgbdata = rgbdata.asarray()
x = plotutil.getplotdata(x)
y = plotutil.getplotdata(y)
graphics = GraphicFactory.createImage(x, y, rgbdata, offset, zdir, interpolation)
ls = None
else:
if len(args) > 0:
level_arg = args[0]
if isinstance(level_arg, int):
cn = level_arg
ls = LegendManage.createImageLegend(gdata, cn, cmap)
else:
if isinstance(level_arg, MIArray):
level_arg = level_arg.aslist()
ls = LegendManage.createImageLegend(gdata, level_arg, cmap)
else:
ls = plotutil.getlegendscheme(args, gdata.min(), gdata.max(), **kwargs)
ls = ls.convertTo(ShapeTypes.Image)
plotutil.setlegendscheme(ls, **kwargs)
if zdir == 'xy':
sepoint = kwargs.pop('sepoint', [0,0,1,1])
else:
sepoint = None
graphics = GraphicFactory.createImage(gdata, ls, offset, zdir, sepoint, interpolation)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics)
return graphics
def stem(self, x, y, z, s=8, c='b', marker='o', alpha=None, linewidth=None,
verts=None, **kwargs):
"""
Make a 3D scatter plot of x, y and z, where x, y and z are sequence like objects of the same lengths.
:param x: (*array_like*) Input x data.
:param y: (*array_like*) Input y data.
:param z: (*array_like*) Input z data.
:param s: (*int*) Size of points.
:param c: (*Color*) Color of the points. Or z vlaues.
:param alpha: (*int*) The alpha blending value, between 0 (transparent) and 1 (opaque).
:param marker: (*string*) Marker of the points.
:param label: (*string*) Label of the points series.
:param levs: (*array_like*) Optional. A list of floating point numbers indicating the level
points to draw, in increasing order.
:returns: Points legend break.
"""
#Add data series
label = kwargs.pop('label', 'S_0')
xdata = plotutil.getplotdata(x)
ydata = plotutil.getplotdata(y)
zdata = plotutil.getplotdata(z)
#Set plot data styles
pb, isunique = plotutil.getlegendbreak('point', **kwargs)
pb.setCaption(label)
pstyle = plotutil.getpointstyle(marker)
pb.setStyle(pstyle)
bottom = kwargs.pop('bottom', 0)
samestemcolor = kwargs.pop('samestemcolor', False)
isvalue = False
if len(c) > 1:
if isinstance(c, (MIArray, DimArray)):
isvalue = True
elif isinstance(c[0], (int, long, float)):
isvalue = True
if isvalue:
ls = kwargs.pop('symbolspec', None)
if ls is None:
if isinstance(c, (list, tuple)):
c = minum.array(c)
levels = kwargs.pop('levs', None)
if levels is None:
levels = kwargs.pop('levels', None)
if levels is None:
cnum = kwargs.pop('cnum', None)
if cnum is None:
ls = plotutil.getlegendscheme([], c.min(), c.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([cnum], c.min(), c.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([levels], c.min(), c.max(), **kwargs)
ls = plotutil.setlegendscheme_point(ls, **kwargs)
if isinstance(s, int):
for lb in ls.getLegendBreaks():
lb.setSize(s)
else:
n = len(s)
for i in range(0, n):
ls.getLegendBreaks()[i].setSize(s[i])
linefmt = kwargs.pop('linefmt', None)
if linefmt is None:
linefmt = PolylineBreak()
linefmt.setColor(Color.black)
else:
linefmt = plotutil.getlegendbreak('line', **linefmt)[0]
#Create graphics
graphics = GraphicFactory.createStems3D(xdata, ydata, zdata, c.asarray(), \
ls, linefmt, bottom, samestemcolor)
else:
colors = plotutil.getcolors(c, alpha)
pbs = []
if isinstance(s, int):
pb.setSize(s)
if len(colors) == 1:
pb.setColor(colors[0])
pb.setOutlineColor(colors[0])
pbs.append(pb)
else:
n = len(colors)
for i in range(0, n):
npb = pb.clone()
npb.setColor(colors[i])
npb.setOutlineColor(colors[i])
pbs.append(npb)
else:
n = len(s)
if len(colors) == 1:
pb.setColor(colors[0])
pb.setOutlineColor(colors[0])
for i in range(0, n):
npb = pb.clone()
npb.setSize(s[i])
pbs.append(npb)
else:
for i in range(0, n):
npb = pb.clone()
npb.setSize(s[i])
npb.setColor(colors[i])
npb.setOutlineColor(colors[i])
pbs.append(npb)
linefmt = kwargs.pop('linefmt', None)
if linefmt is None:
linefmt = PolylineBreak()
linefmt.setColor(colors[0])
else:
linefmt = plotutil.getlegendbreak('line', **linefmt)[0]
#Create graphics
graphics = GraphicFactory.createStems3D(xdata, ydata, zdata, pbs, linefmt, \
bottom, samestemcolor)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics[0])
self.add_graphic(graphics[1])
return graphics[0], graphics[1]
def plot(self, x, y, z, *args, **kwargs):
"""
Plot 3D lines and/or markers to the axes. *args* is a variable length argument, allowing
for multiple *x, y* pairs with an optional format string.
:param x: (*array_like*) Input x data.
:param y: (*array_like*) Input y data.
:param z: (*array_like*) Input z data.
:param style: (*string*) Line style for plot.
:returns: Legend breaks of the lines.
The following format string characters are accepted to control the line style or marker:
========= ===========
Character Description
========= ===========
'-' solid line style
'--' dashed line style
'-.' dash-dot line style
':' dotted line style
'.' point marker
',' pixel marker
'o' circle marker
'v' triangle_down marker
'^' triangle_up marker
'<' triangle_left marker
'>' triangle_right marker
's' square marker
'p' pentagon marker
'*' star marker
'x' x marker
'D' diamond marker
========= ===========
The following color abbreviations are supported:
========= =====
Character Color
========= =====
'b' blue
'g' green
'r' red
'c' cyan
'm' magenta
'y' yellow
'k' black
========= =====
"""
xdata = plotutil.getplotdata(x)
ydata = plotutil.getplotdata(y)
zdata = plotutil.getplotdata(z)
style = None
if len(args) > 0:
style = args[0]
#Set plot data styles
label = kwargs.pop('label', 'S_1')
mvalues = kwargs.pop('mvalues', None)
if mvalues is None:
if style is None:
line = plotutil.getlegendbreak('line', **kwargs)[0]
line.setCaption(label)
else:
line = plotutil.getplotstyle(style, label, **kwargs)
colors = kwargs.pop('colors', None)
if not colors is None:
colors = plotutil.getcolors(colors)
cbs = []
for color in colors:
cb = line.clone()
cb.setColor(color)
cbs.append(cb)
else:
ls = kwargs.pop('symbolspec', None)
if ls is None:
if isinstance(mvalues, (list, tuple)):
mvalues = minum.array(mvalues)
levels = kwargs.pop('levs', None)
if levels is None:
levels = kwargs.pop('levels', None)
if levels is None:
cnum = kwargs.pop('cnum', None)
if cnum is None:
ls = plotutil.getlegendscheme([], mvalues.min(), mvalues.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([cnum], mvalues.min(), mvalues.max(), **kwargs)
else:
ls = plotutil.getlegendscheme([levels], mvalues.min(), mvalues.max(), **kwargs)
ls = plotutil.setlegendscheme_line(ls, **kwargs)
#Add graphics
if mvalues is None:
if colors is None:
graphics = GraphicFactory.createLineString3D(xdata, ydata, zdata, line)
else:
graphics = GraphicFactory.createLineString3D(xdata, ydata, zdata, cbs)
else:
mdata = plotutil.getplotdata(mvalues)
graphics = GraphicFactory.createLineString3D(xdata, ydata, zdata, mdata, ls)
visible = kwargs.pop('visible', True)
if visible:
self.add_graphic(graphics)
return graphics
