def plotHistogram( self, *name, **arg ):
"""
@param bins: number of bins (10)
@type bins: int
@param ynormalize: normalize histograms to area 1.0 (False)
@type ynormalize: bool
@param xnormalize: adapt bin range to min and max of all profiles (True)
@type xnormalize: bool
@param xrange: min and max of bin range (None)
@type xrange: (float, float)
@param steps: draw histogram steps (True)
@type steps: bool
"""
if not biggles:
raise ImportError, 'module biggles could not be imported'
plot = biggles.FramedArray( len(name),1 )
if not 'size' in arg:
arg['size'] = 1
bins = arg.get('bins', 10)
hist = arg.get('ynormalize', False)
steps= arg.get('steps', 1)
histrange= arg.get('xrange', None)
autorange= arg.get('xnormalize', histrange is None)
xkey = arg.get('xkey', None)
if xkey:
plot.xlabel = xkey
if autorange:
v = []
for keys in name:
if not type(keys) is tuple:
keys = ( keys, )
for key in keys:
v += list(self[key])
histrange = ( min( v ), max( v ) )
for i, keys in enumerate(name):
if not type(keys) is tuple:
keys = ( keys, )
for j, key in enumerate(keys):
h = density( self[key], nBins=bins, steps=steps, hist=hist,
range=histrange )
x = h[:,0]
y = h[:,1]
colors = [0] + T.colorSpectrum( len(keys) , '00FF00', 'FF00FF')
plot[i,0].add( biggles.Curve( x, y, color=colors[j], **arg ) )
plot[i,0].add( biggles.PlotLabel( 0.7, 0.95-j*0.1, key,
color=colors[j] ) )
return plot
def plotArray(self, *name, **arg):
"""
Plot several profiles as a panel of separate plots.
@param *name: one or more profile names or tuples of profile names
@type *name: str or (str, str,...)
@param xkey: profile to be used as x-axis (default: None)
@type xkey: str
@param arg: key=value pairs for Biggles.Curve() function
@type arg:
@return: plot, view using plot.show()
@rtype: biggles.FramedPlot
@raise TypeError: if profile contains non-number items
@raise ImportError: If biggles module could not be imported
"""
if not biggles:
raise ImportError, 'module biggles could not be imported'
plot = biggles.FramedArray(len(name), 1)
if not 'size' in arg:
arg['size'] = 1
xkey = arg.get('xkey', None)
if xkey:
plot.xlabel = xkey
for i, keys in enumerate(name):
if not type(keys) is tuple:
keys = (keys, )
for j, key in enumerate(keys):
x = self.get(xkey, range(self.profLength()))
y = self[key]
colors = [0] + T.colorSpectrum(len(keys), '00FF00', 'FF00FF')
plot[i, 0].add(biggles.Curve(x, y, color=colors[j], **arg))
plot[i, 0].add(
biggles.PlotLabel(0.7,
0.95 - j * 0.1,
key,
color=colors[j]))
return plot
def plotArray( self, *name, **arg ):
"""
Plot several profiles as a panel of separate plots.
@param *name: one or more profile names or tuples of profile names
@type *name: str or (str, str,...)
@param xkey: profile to be used as x-axis (default: None)
@type xkey: str
@param arg: key=value pairs for Biggles.Curve() function
@type arg:
@return: plot, view using plot.show()
@rtype: biggles.FramedPlot
@raise TypeError: if profile contains non-number items
@raise ImportError: If biggles module could not be imported
"""
if not biggles:
raise ImportError, 'module biggles could not be imported'
plot = biggles.FramedArray( len(name),1 )
if not 'size' in arg:
arg['size'] = 1
xkey = arg.get('xkey', None)
if xkey:
plot.xlabel = xkey
for i, keys in enumerate(name):
if not type(keys) is tuple:
keys = ( keys, )
for j, key in enumerate(keys):
x = self.get( xkey, range(self.profLength()) )
y = self[key]
colors = [0] + T.colorSpectrum( len(keys) , '00FF00', 'FF00FF')
plot[i,0].add( biggles.Curve( x, y, color=colors[j], **arg ) )
plot[i,0].add( biggles.PlotLabel( 0.7, 0.95-j*0.1, key,
color=colors[j] ) )
return plot
def plot(self, *name, **arg):
"""
Plot one or more profiles using Biggles::
plot( name1, [name2, ..],[arg1=x, arg2=y]) -> biggles.FramedPlot
@param name: one or more profile names
@type name: str
@param arg: key=value pairs for Biggles.Curve() function
@type arg:
@raise TypeError: if profile contains non-number items
@return: plot, view using plot.show()
@rtype: biggles.FramedPlot
@raise ImportError: If biggles module could not be imported
"""
if not biggles:
raise ImportError, 'module biggles could not be imported'
plot = biggles.FramedPlot()
colors = T.colorSpectrum(len(name), '00FF00', 'FF00FF')
for i in range(len(name)):
p = N.array(self.get(name[i]))
if p.dtype in ['O', 'c']:
raise TypeError, 'Cannot plot values of profile %s.' % name[i]
# Biggles with its old Numeric cannot handle numpy arrays
plot.add(
biggles.Curve(range(len(p)), list(p), color=colors[i], **arg))
plot.add(
biggles.PlotLabel(0.8, 0.8 - i / 8.0, name[i],
color=colors[i]))
return plot
def plot( self, *name, **arg ):
"""
Plot one or more profiles using Biggles::
plot( name1, [name2, ..],[arg1=x, arg2=y]) -> biggles.FramedPlot
@param name: one or more profile names
@type name: str
@param arg: key=value pairs for Biggles.Curve() function
@type arg:
@raise TypeError: if profile contains non-number items
@return: plot, view using plot.show()
@rtype: biggles.FramedPlot
@raise ImportError: If biggles module could not be imported
"""
if not biggles:
raise ImportError, 'module biggles could not be imported'
plot = biggles.FramedPlot()
colors = T.colorSpectrum( len( name ) , '00FF00', 'FF00FF')
for i in range( len(name)):
p = N.array( self.get( name[i] ) )
if p.dtype in ['O','c']:
raise TypeError, 'Cannot plot values of profile %s.' % name[i]
# Biggles with its old Numeric cannot handle numpy arrays
plot.add( biggles.Curve( range( len(p) ), list(p), color=colors[i],
**arg ) )
plot.add( biggles.PlotLabel( 0.8, 0.8-i/8.0, name[i],
color=colors[i]) )
return plot