def __init__(self):
"""
Initialisation
"""
debugMsg("Called Renderer.__init__()")
BaseRenderer.__init__(self) # initialisation of base class
# initialise some attributes
self.renderWindowWidth = 640
self.renderWindowHeight = 480
self.name = _rendererName
# the namespace to run the exec code
self.renderDict = {}
# initialise the evalstack
self._evalStack = ""
# keep the initial setup of the module for later reuse
self._initStack = ""
# initialise the renderer module
self.addToInitStack("# Renderer.__init__()")
self.addToInitStack("import plplot")
# we now need the Numeric package so can handle arrays better
self.addToInitStack("from Numeric import *")
def render(self):
"""
Does JpegImage object specific (pre)rendering stuff
"""
debugMsg("Called JpegImage.render()")
return
def __init__(self, scene):
"""
Initialisation of LinePlot class
@param scene: The scene with which to associate the plot
@type scene: Scene object
"""
debugMsg("Called LinePlot.__init__()")
Plot.__init__(self, scene) # initialisation of base class
self.renderer = scene.renderer
self.title = None
self.xlabel = None
self.ylabel = None
self.zlabel = None
self.linestyle = None # pyvisi-defined linestyle
self._linestyle = None # renderer-specific linestyle
# is the LinePlot data offset (vertically) from each other?
self.offset = False
# now add the object to the scene
scene.add(self)
def render(self):
"""
Does ContourPlot object specific rendering stuff
"""
debugMsg("Called ContourPlot.render()")
self.renderer.runString("# ContourPlot.render()")
self.renderer.runString("_gnuplot('set contour base')")
self.renderer.runString("_gnuplot('set view 0, 0, 1, 1')")
self.renderer.runString("_gnuplot('set nosurface')") # gnuplot 3.7
# if a title is set, put it here
if self.title is not None:
evalString = "_gnuplot.title(\'%s\')" % self.title
self.renderer.runString(evalString)
# if an xlabel is set, add it
if self.xlabel is not None:
evalString = "_gnuplot.xlabel(\'%s\')" % self.xlabel
self.renderer.runString(evalString)
# if a ylabel is set, add it
if self.ylabel is not None:
evalString = "_gnuplot.ylabel(\'%s\')" % self.ylabel
self.renderer.runString(evalString)
self.renderer.runString("_gnuplot('set pm3d')")
# set up the evalString to use for plotting
evalString = "_gnuplot.splot(_data)"
self.renderer.runString(evalString)
return
def getLineStyle(self):
"""
Gets the current linestyle of the LinePlot
@return: the linestyle as a string
"""
debugMsg("Called LinePlot.getLineStyle()")
return self.linestyle
def __init__(self):
"""
The init function
"""
debugMsg("Called Scene.__init__()")
BaseScene.__init__(self)
self.renderer = Renderer()
self.objectList = []
def load(self, fname):
"""
Loads image data from file.
@param fname: The filename from which to load image data
@type fname: string
"""
debugMsg("Called Image.load()")
fileCheck(fname)
return
def setTitle(self, title):
"""
Set the plot title
@param title: the string holding the title to the plot
@type title: string
"""
debugMsg("Called Plot.setTitle()")
self.title = title
return
def __init__(self, scene=None):
"""
Initialises the Image class object
@param scene: The Scene object to add to
@type scene: Scene object
"""
debugMsg("Called Image.__init__()")
Item.__init__(self)
if scene is not None:
self.renderer = scene.renderer
def setYLabel(self, label):
"""
Set the label of the y-axis
@param label: the string holding the label of the y-axis
@type label: string
"""
debugMsg("Called Plot.setYLabel()")
self.ylabel = label
return
def save(self, fname, format):
"""
Save the scene to a file
Possible formats are:
- Jpeg
- Postscript
- PNG
- PBM
@param fname: Name of output file
@type fname: string
@param format: Graphics format of output file
@type format: Image object
"""
debugMsg("Called Scene.save()")
self.renderer.runString("# Scene.save()")
# if the format is passed in as a string or object, react
# appropriately
import types
if type(format) is types.StringType:
fmt = format.lower()
else:
fmt = format.format
# set the output format
if fmt == "ps":
self.renderer.runString(\
"plplot.plsdev(\"psc\")")
elif fmt == "png":
self.renderer.runString(\
"plplot.plsdev(\"png\")")
elif fmt == "pbm":
self.renderer.runString(\
"plplot.plsdev(\"pbm\")")
elif fmt == "jpeg" or fmt == "jpg":
self.renderer.runString(\
"plplot.plsdev(\"jpeg\")")
else:
raise ValueError, "Unknown graphics format. I got: %s" % \
fmt
# set the output filename
evalString = "plplot.plsfnam(\"%s\")" % fname
self.renderer.runString(evalString)
# now render the whole shebang (again)
self.render(save=True)
return
def place(self, obj):
"""
Place an object within a scene
@param obj: The object to place within the scene
@type obj: object
"""
debugMsg("Called Scene.place()")
if obj is None:
raise ValueError, "You must specify an object to add"
return
def setLineStyle(self, linestyle):
"""
Sets the linestyle of the LinePlot
Linestyles may be either a word in the Gnuplot style, or a symbol
shortcut in the Matlab style. Some of the options do not have a
Matlab equivalent but do have a Gnuplot equivalent, or vice versa.
What this method does, is take the linestyles possible as defined by
PyVisi, and then does some conversion as best it can to get the
relevant output from (in this case) plplot.
Possible linestyles are:
1. lines ('-')
2. points ('o')
3. linespoints ('-o')
4. dots ('.')
5. dotted (':')
6. dashes ('--')
7. dotdashes ('-.')
@param linestyle: the style to use for the lines
@type linestyle: string
"""
debugMsg("Called LinePlot.setLineStyle()")
# now implement the gnuplot-specific way to do this
if linestyle == 'lines' or linestyle == '-':
self._linestyle = 'lines'
elif linestyle == 'points' or linestyle == 'o':
self._linestyle = 'points'
elif linestyle == 'linespoints' or linestyle == '-o':
self._linestyle = 'linespoints'
elif linestyle == 'dots' or linestyle == '.':
self._linestyle = 'dots'
elif linestyle == 'dotted' or linestyle == ':':
print "linestyle = %s" % linestyle
raise NotImplementedError, \
"Sorry, haven't implemented this style yet."
elif linestyle == 'dashes' or linestyle == '--':
print "linestyle = %s" % linestyle
raise NotImplementedError, \
"Sorry, haven't implemented this style yet."
elif linestyle == 'dotdashes' or linestyle == '-.':
print "linestyle = %s" % linestyle
raise NotImplementedError, \
"Sorry, haven't implemented this style yet."
else:
raise ValueError, "Unknown linestyle! I got \'%s\'" % linestyle
return
def __init__(self, scene=None):
"""
Initialises the PdfImage class object
This object is B{only} used for generating pdf output
@param scene: The Scene object to add to
@type scene: Scene object
"""
debugMsg("Called PdfImage.__init__()")
Image.__init__(self)
if scene is not None:
self.renderer = scene.renderer
self.format = "pdf"
def setData(self, *dataList, **options):
"""
Set data to Plot
@param dataList: the data to set to the plot
@type dataList: tuple
@param options: dictionary of extra options
@type options: dict
"""
debugMsg("Called Plot.setData()")
if dataList is None:
raise ValueError, "You must specify a data list"
return
def add(self, obj):
"""
Add a new item to the scene
@param obj: The object to add to the scene
@type obj: object
"""
debugMsg("Called Scene.add()")
# make sure there is an object passed in
if obj is None:
raise ValueError, "You must specify an object to add"
self.renderer.runString("# Scene.add()")
self.objectList.append(obj)
return
def load(self, fname):
"""
Loads jpeg image data from file.
NOT supported by this renderer module
@param fname: The filename from which to load jpeg image data
@type fname: string
"""
debugMsg("Called JpegImage.load()")
fileCheck(fname)
# this ability not handled by this renderer module
unsupportedError()
return
def __init__(self, scene):
"""
Initialisation of abstract plot class
@param scene: The scene with which to associate the plot
@type scene: Scene object
"""
debugMsg("Called Plot.__init__()")
Item.__init__(self) # initialisation of base class
self.title = None
self.xlabel = None
self.ylabel = None
self.zlabel = None
if scene is None:
raise ValueError, "You must specify a scene object"
def render(self):
"""
Does LinePlot object specific rendering stuff
"""
debugMsg("Called LinePlot.render()")
self.renderer.runString("# LinePlot.render()")
# initialise plplot
self.renderer.runString("plplot.plinit()")
# set up the viewport for plotting
evalString = "plplot.plenv(_xMin,_xMax,_yMin,_yMax, 0, 1)"
self.renderer.runString(evalString)
# set up the evalString to use for plotting
for i in range(self.renderer.numDataObjects):
evalString = "plplot.plline(_x, _y%d)" % i
self.renderer.runString(evalString)
# if a title is not set, set it to a null string
# (this will help keep plplot happy)
if self.title is None:
self.title = ""
# if an xlabel is not set, set it to a null string
if self.xlabel is None:
self.xlabel = ""
# if a ylabel is not set, set it to a null string
if self.ylabel is None:
self.ylabel = ""
# put the labels (if any) on the graph.
evalString = "plplot.pllab(\"%s\", \"%s\", \"%s\")" % \
(self.xlabel, self.ylabel, self.title)
self.renderer.runString(evalString)
# finish stuff off
self.renderer.runString("plplot.plend()")
return
def __init__(self, scene):
"""
Initialisation of the ContourPlot class
@param scene: The scene with which to associate the plot
@type scene: Scene object
"""
debugMsg("Called ContourPlot.__init__()")
Plot.__init__(self) # initialisation of base class
self.renderer = scene.renderer
self.title = None
self.xlabel = None
self.ylabel = None
self.zlabel = None
self.linestyle = None # pyvisi-defined linestyle
self._linestyle = None # renderer-specific linestyle
# now add the object to the scene
scene.add(self)
def setLabel(self, axis, label):
"""
Set the label of a given axis
@param axis: string (Axis object maybe??) of the axis (e.g. x, y, z)
@param label: string of the label to set for the axis
@type label: string
"""
debugMsg("Called Plot.setLabel()")
# string-wise implementation (really budget implementation too)
if axis == 'x' or axis == 'X':
self.xlabel = label
elif axis == 'y' or axis == 'Y':
self.ylabel = label
elif axis == 'z' or axis == 'Z':
self.zlabel = label
else:
raise ValueError, "axis must be x or y or z"
return
def setBackgroundColor(self, *color):
"""
Sets the background color of the Scene
@param color: The color to set the background to. Can be RGB or CMYK
@type color: tuple
"""
debugMsg("Called Scene.setBackgroundColor()")
# pity this code doesn't work....
# need to check on the values given in the *color array.
# if they're greater than 1, scale so that the largest is 1
#maxColor = None
#for i in range(len(color)):
#if color[i] > 1:
#maxColor = color[i]
#print maxColor
#
## if a maximum colour is found, then scale the colours
#if maxColor is not None:
#for i in range(len(color)):
#color[i] = color[i]/maxColor
# if color is of length 3, then we have rgb
# if length is 4 then cmyk
# if length is 1 then greyscale
# otherwise barf
if len(color) == 3:
# ok, using rgb
# probably should use a Color object or something
# this will do in the meantime
pass
else:
raise ValueError, "Sorry, only RGB color is supported at present"
return
def __init__(self):
"""
Initialisation of the text object
"""
debugMsg("Called Text.__init__()")
Item.__init__(self) # initialisation of base class
def getBackgroundColor(self):
"""
Gets the current background color setting of the Scene
"""
debugMsg("Called Scene.getBackgroundColor()")
return
def __init__(self):
"""
Initialisation
"""
debugMsg("Called Item.__init__()")
BaseItem.__init__(self)
def __init__(self):
"""
Initialisation of the plane object
"""
debugMsg("Called Plane.__init__()")
Item.__init__(self) # initialisation of base class
def setData(self, *dataList, **options):
"""
Sets the data to the given plot object.
@param dataList: list of data objects to plot
@type dataList: tuple
@param options: keyword options
@type options: dict
"""
debugMsg("Called setData() in LinePlot()")
self.renderer.runString("# LinePlot.setData()")
# grab the options if any
if options.has_key('offset'):
self.offset = options['offset']
else:
self.offset = False
# do some sanity checking on the data
for i in range(len(dataList)):
if len(dataList[0]) != len(dataList[i]):
raise ValueError, "Input vectors must all be the same length"
# this is a really dodgy way to get the data into the renderer
# I really have to find a better, more elegant way to do this
# if have more than one array to plot, the first one is the x data
if len(dataList) > 1:
xData = dataList[0]
## pass around the x data
self.renderer.renderDict['_x'] = copy.deepcopy(xData)
# don't need the first element of the dataList, so get rid of it
dataList = dataList[1:]
# if only have one array input, then autogenerate xData
elif len(dataList) == 1:
xData = range(1, len(dataList[0])+1)
if len(xData) != len(dataList[0]):
errorString = "Autogenerated xData array length not "
errorString += "equal to input array length"
raise ValueError, errorString
## pass around the x data
self.renderer.renderDict['_x'] = copy.deepcopy(xData)
# range over the data, printing what the expansion of the array is
# and regenerate the data within the eval
for i in range(len(dataList)):
yDataVar = "_y%d" % i
data = dataList[i]
# check that the data here is a 1-D array
if len(data.shape) != 1:
raise ValueError, "Can only handle 1D arrays at present"
self.renderer.renderDict[yDataVar] = copy.deepcopy(data)
# if offset is true, then shift the data up accordingly
if self.offset:
# concatenate the data
evalString = "_yAll = concatenate(["
for i in range(len(dataList)-1):
evalString += "_y%d," % i
evalString += "_y%d])" % int(len(dataList)-1)
self.renderer.runString(evalString)
# find its min and max
self.renderer.runString("_yMin = min(_yAll)")
self.renderer.runString("_yMax = max(_yAll)")
# keep the data apart a bit with a constant
self.renderer.runString("_const = 0.1*(_yMax - _yMin)")
# shift the data up
self.renderer.runString("_shift = _yMax - _yMin + _const")
for i in range(len(dataList)):
evalString = "_y%d = _y%d + %d*_shift" % (i, i, i)
self.renderer.runString(evalString)
# determine the min and max of the x and y data
evalString = "_xMin = min(_x)\n"
evalString += "_xMax = max(_x)"
self.renderer.runString(evalString)
if self.offset:
### don't need to recalculate _yMin and _yMax
# but do need to take into account the shift
evalString = "_yMax = _yMax + %d*_shift" % len(dataList)
self.renderer.runString(evalString)
pass
else:
### but if not offset, do have to
# concatenate the data
evalString = "_yAll = concatenate(["
for i in range(len(dataList)-1):
evalString += "_y%d," % i
evalString += "_y%d])" % int(len(dataList)-1)
self.renderer.runString(evalString)
# calculate the min and max
evalString = "_yMin = min(_yAll)\n"
evalString += "_yMax = max(_yAll)"
self.renderer.runString(evalString)
# return the number of data objects to plot
self.renderer.numDataObjects = len(dataList)
return
def render(self, pause=False, interactive=False, save=False):
"""
Render (or re-render) the scene
Render the scene, either to screen, or to a buffer waiting for a save
@param pause: Flag to wait at end of script evaluation for user input
@type pause: boolean
@param interactive: Whether or not to have interactive use of the
output (not available in all renderer modules)
@type interactive: boolean
"""
debugMsg("Called Scene.render()")
renderer = self.renderer
# plplot doesn't support interactive stuff (I think)
if interactive:
print "PLPlot does not support scene interaction"
print "Setting interactive to false"
interactive = False
renderer.runString("# Scene.render()")
if not save:
# so that renderering goes to the window by default
renderer.runString("plplot.plsdev(\"xwin\")")
# get object added to the scene to render itself
for obj in self.objectList:
obj.render()
# add some code to pause after rendering if asked to
if pause:
renderer.runString("raw_input(\"Press enter to continue\")")
# prepend the init stack to the eval stack
self.renderer._evalStack = self.renderer._initStack + \
self.renderer._evalStack
# optionally print out the evaluation stack to make sure we're doing
# the right thing
debugMsg("Here is the evaluation stack")
debugMsg(60*"#")
debugMsg(renderer.getEvalStack())
debugMsg(60*"#")
# execute the eval stack
evalStack = renderer.getEvalStack()
exec evalStack in self.renderer.renderDict
# flush the evaluation stack
debugMsg("Flusing evaluation stack")
renderer.resetEvalStack()
return
def __init__(self):
"""
Initialisation of the camera object
"""
debugMsg("Called Camera.__init__()")
Item.__init__(self) # initialisation of base class
def __init__(self):
"""
Initialises the axes object
"""
debugMsg("Called Axes.__init__()")
Plot.__init__(self) # initialisation of base class
