def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
if type(data) == types.DictType:
self.gdata = GraphData(data)
elif type(data) == types.InstanceType and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key('span'):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys) -
min(self.gdata.all_keys)) / nKeys
# Setup the colormapper to get the right colors
self.cmap = None
max_value = prefs.get('normalization')
if max_value:
self.cmap = cm.YlGnBu
else:
max_value = 100
self.cmap = cm.RdYlGn
self.norms = Normalize(0, max_value)
mapper = cm.ScalarMappable(cmap=self.cmap, norm=self.norms)
def get_alpha(*args, **kw):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
if type(data) == types.DictType:
self.gdata = GraphData(data)
elif type(data) == types.InstanceType and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key('span'):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys) -
min(self.gdata.all_keys)) / nKeys
# Setup the colormapper to get the right colors
self.cmap = LinearSegmentedColormap('quality_colormap', cdict, 256)
#self.cmap = cm.RdYlGn
self.norms = normalize(0, 100)
mapper = cm.ScalarMappable(cmap=self.cmap, norm=self.norms)
mapper = cm.ScalarMappable(cmap=cm.RdYlGn, norm=self.norms)
def get_alpha(*args, **kw):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__( self, data, ax, prefs, *args, **kw ):
PlotBase.__init__( self, data, ax, prefs, *args, **kw )
if type( data ) == types.DictType:
self.gdata = GraphData( data )
elif type( data ) == types.InstanceType and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key( 'span' ):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = ( max( self.gdata.all_keys ) - min( self.gdata.all_keys ) ) / nKeys
# Setup the colormapper to get the right colors
self.cmap = LinearSegmentedColormap( 'quality_colormap', cdict, 256 )
#self.cmap = cm.RdYlGn
self.norms = normalize( 0, 100 )
mapper = cm.ScalarMappable( cmap = self.cmap, norm = self.norms )
mapper = cm.ScalarMappable( cmap = cm.RdYlGn, norm = self.norms )
def get_alpha( *args, **kw ):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
if type(data) == types.DictType:
self.gdata = GraphData(data)
elif type(data) == types.InstanceType and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key("span"):
self.width = self.prefs["span"]
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys) - min(self.gdata.all_keys)) / nKeys
# Setup the colormapper to get the right colors
self.cmap = None
max_value = prefs.get("normalization")
if max_value:
self.cmap = cm.YlGnBu
else:
max_value = 100
self.cmap = cm.RdYlGn
self.norms = Normalize(0, max_value)
mapper = cm.ScalarMappable(cmap=self.cmap, norm=self.norms)
def get_alpha(*args, **kw):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__( self, data, ax, prefs, *args, **kw ):
PlotBase.__init__( self, data, ax, prefs, *args, **kw )
if isinstance( data, dict ):
self.gdata = GraphData( data )
elif isinstance( data, type ) and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key( 'span' ):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = ( max( self.gdata.all_keys ) - min( self.gdata.all_keys ) ) / nKeys
# Setup the colormapper to get the right colors
self.cmap = None
max_value = prefs.get( 'normalization' )
if max_value:
self.cmap = cm.YlGnBu #pylint: disable=no-member
else:
max_value = 100
self.cmap = cm.RdYlGn #pylint: disable=no-member
self.norms = Normalize( 0, max_value )
mapper = cm.ScalarMappable( cmap = self.cmap, norm = self.norms )
def get_alpha( *args, **kw ):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__(self,data,ax,prefs,*args,**kw):
PlotBase.__init__(self,data,ax,prefs,*args,**kw)
if self.prefs.has_key('span'):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
# Try to guess the time bin span
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys)-min(self.gdata.all_keys))/(nKeys-1)
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
if 'span' in self.prefs:
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
# Try to guess the time bin span
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys) - min(self.gdata.all_keys)) / (nKeys - 1)
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
if isinstance(data, dict):
self.gdata = GraphData(data)
elif isinstance(data, type) and data.__class__ == GraphData:
self.gdata = data
if "span" in self.prefs:
self.width = self.prefs["span"]
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = (max(self.gdata.all_keys) -
min(self.gdata.all_keys)) / nKeys
# redefine the look of the scale if requested
if isinstance(self.prefs["scale_data"], dict):
self.cbBoundaries = list()
self.cbValues = list()
# ColorbarBase needs sorted data
for boundary in sorted(self.prefs["scale_data"]):
self.cbBoundaries.append(boundary)
self.cbValues.append(self.prefs["scale_data"][boundary])
else:
self.cbBoundaries = None # set default values
self.cbValues = None
if isinstance(self.prefs["scale_ticks"], list):
self.cbTicks = self.prefs["scale_ticks"]
else:
self.cbTicks = None # set default value
# Setup the colormapper to get the right colors
self.cmap = None
max_value = prefs.get("normalization")
if max_value:
self.cmap = cm.YlGnBu # pylint: disable=no-member
else:
max_value = 100
self.cmap = cm.RdYlGn # pylint: disable=no-member
self.norms = Normalize(0, max_value)
mapper = cm.ScalarMappable(cmap=self.cmap, norm=self.norms)
def get_alpha(*args, **kw):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__( self, data, ax, prefs, *args, **kw ):
PlotBase.__init__( self, data, ax, prefs, *args, **kw )
if isinstance( data, dict ):
self.gdata = GraphData( data )
elif isinstance( data, type ) and data.__class__ == GraphData:
self.gdata = data
if self.prefs.has_key( 'span' ):
self.width = self.prefs['span']
else:
self.width = 1.0
if self.gdata.key_type == "time":
nKeys = self.gdata.getNumberOfKeys()
self.width = ( max( self.gdata.all_keys ) - min( self.gdata.all_keys ) ) / nKeys
# redefine the look of the scale if requested
if isinstance(self.prefs['scale_data'], dict):
self.cbBoundaries = list()
self.cbValues = list()
# ColorbarBase needs sorted data
for boundary in sorted(self.prefs['scale_data'].keys()):
self.cbBoundaries.append(boundary)
self.cbValues.append(self.prefs['scale_data'][boundary])
else:
self.cbBoundaries = None # set default values
self.cbValues = None
if isinstance(self.prefs['scale_ticks'], list):
self.cbTicks = self.prefs['scale_ticks']
else:
self.cbTicks = None # set default value
# Setup the colormapper to get the right colors
self.cmap = None
max_value = prefs.get( 'normalization' )
if max_value:
self.cmap = cm.YlGnBu #pylint: disable=no-member
else:
max_value = 100
self.cmap = cm.RdYlGn #pylint: disable=no-member
self.norms = Normalize( 0, max_value )
mapper = cm.ScalarMappable( cmap = self.cmap, norm = self.norms )
def get_alpha( *args, **kw ):
return 1.0
mapper.get_alpha = get_alpha
self.mapper = mapper
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
def __init__(self,data,ax,prefs,*args,**kw):
PlotBase.__init__(self,data,ax,prefs,*args,**kw)
