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 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 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 draw( self ):
self.ylabel = ''
self.prefs['square_axis'] = True
PlotBase.draw( self )
def my_display( x ):
if x > 100 * self.min_amount:
return '%.1f' % x + '%'
else:
return ""
nLabels = self.pdata.getNumberOfLabels()
explode = [0.] * nLabels
if nLabels > 0:
explode[0] = 0.1
self.wedges, text_labels, percent = self.pie( explode = explode, autopct = my_display )
def draw(self):
self.ylabel = ""
self.prefs["square_axis"] = True
PlotBase.draw(self)
def my_display(x):
if x > 100 * self.min_amount:
return "%.1f" % x + "%"
else:
return ""
nLabels = self.pdata.getNumberOfLabels()
explode = [0.0] * nLabels
if nLabels > 0:
explode[0] = 0.1
self.wedges, text_labels, percent = self.pie(explode=explode, autopct=my_display)
def draw(self):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
# Evaluate the bar width
width = float(self.width)
offset = 0.0
if self.gdata.key_type == "time":
width = width / 86400.0
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs["starttime"])))
end_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs["endtime"])))
labels = self.gdata.getLabels()
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
tmp_x = []
tmp_y = []
self.bars = []
labels = self.gdata.getLabels()
nLabel = 0
labelNames = []
colors = []
xmin = None
xmax = None
for label, _num in labels:
labelNames.append(label)
for key, value, _error in self.gdata.getPlotNumData(label):
if xmin is None or xmin > (key + offset):
xmin = key + offset
if xmax is None or xmax < (key + offset):
xmax = key + offset
if value is not None:
colors.append(self.getQualityColor(value))
tmp_x.append(key + offset)
tmp_y.append(1.0)
tmp_b.append(float(nLabel))
nLabel += 1
self.bars += self.ax.bar(tmp_x,
tmp_y,
bottom=tmp_b,
width=width,
color=colors)
dpi = self.prefs.get("dpi", 100)
setp(self.bars, linewidth=pixelToPoint(0.5, dpi), edgecolor="#AAAAAA")
# pivots = keys
# for idx in range(len(pivots)):
# self.coords[ pivots[idx] ] = self.bars[idx]
ymax = float(nLabel)
self.ax.set_xlim(xmin=0.0, xmax=xmax + width + offset)
self.ax.set_ylim(ymin=0.0, ymax=ymax)
if self.gdata.key_type == "time":
if start_plot and end_plot:
self.ax.set_xlim(xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim(xmin=min(tmp_x), xmax=max(tmp_x))
self.ax.set_yticks([i + 0.5 for i in range(nLabel)])
self.ax.set_yticklabels(labelNames)
setp(self.ax.get_xticklines(), markersize=0.0)
setp(self.ax.get_yticklines(), markersize=0.0)
cax, kw = make_axes(self.ax, orientation="vertical", fraction=0.07)
cb = ColorbarBase(cax,
cmap=self.cmap,
norm=self.norms,
boundaries=self.cbBoundaries,
values=self.cbValues,
ticks=self.cbTicks)
cb.draw_all()
def draw(self):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
tmp_x = []
tmp_y = []
# Evaluate the bar width
width = float(self.width)
if self.gdata.key_type == 'time':
#width = (1 - self.bar_graph_space) * width / 86400.0
width = width / 86400.0
offset = 0
elif self.gdata.key_type == 'string':
self.bar_graph_space = 0.1
width = (1 - self.bar_graph_space) * width
offset = self.bar_graph_space / 2.0
else:
offset = 0
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['starttime'])))
end_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['endtime'])))
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
if self.prefs.has_key('log_yaxis'):
tmp_b = [0.001] * nKeys
ymin = 0.001
else:
tmp_b = [0.] * nKeys
ymin = 0.
self.polygons = []
self.lines = []
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot', 0.)]
color = self.prefs.get('plot_color', 'Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot', color)
else:
labels = [(color, 0.)]
seq_b = [(self.gdata.max_num_key + width, 0.0),
(self.gdata.min_num_key, 0.0)]
zorder = 0.0
dpi = self.prefs.get('dpi', 100)
for label, num in labels:
color = self.palette.getColor(label)
ind = 0
tmp_x = []
tmp_y = []
tmp_t = []
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
value = 0.
tmp_x.append(offset + key)
#tmp_y.append( ymin )
tmp_y.append(0.001)
tmp_x.append(offset + key)
tmp_y.append(float(value) + tmp_b[ind])
tmp_x.append(offset + key + width)
tmp_y.append(float(value) + tmp_b[ind])
tmp_x.append(offset + key + width)
#tmp_y.append( ymin )
tmp_y.append(0.001)
tmp_t.append(float(value) + tmp_b[ind])
ind += 1
seq_t = zip(tmp_x, tmp_y)
seq = seq_t + seq_b
poly = Polygon(seq,
facecolor=color,
fill=True,
linewidth=pixelToPoint(0.2, dpi),
zorder=zorder)
self.ax.add_patch(poly)
self.polygons.append(poly)
tmp_b = list(tmp_t)
zorder -= 0.1
tight_bars_flag = self.prefs.get('tight_bars', False)
if tight_bars_flag:
setp(self.polygons, linewidth=0.)
#pivots = keys
#for idx in range(len(pivots)):
# self.coords[ pivots[idx] ] = self.bars[idx]
ymax = max(tmp_b)
ymax *= 1.1
if self.prefs.has_key('log_yaxis'):
ymin = 0.001
else:
ymin = min(tmp_b, 0.)
ymin *= 1.1
xmax = max(tmp_x)
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get('ymin', ymin)
ymax = self.prefs.get('ymax', ymax)
xmin = self.prefs.get('xmin', xmin)
xmax = self.prefs.get('xmax', xmax)
self.ax.set_xlim(xmin=xmin, xmax=xmax + offset)
self.ax.set_ylim(ymin=ymin, ymax=ymax)
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim(xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim(xmin=min(tmp_x), xmax=max(tmp_x))
def draw( self ):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
tmp_x = []; tmp_y = []
# Evaluate the bar width
width = float(self.width)
if self.gdata.key_type == 'time':
#width = (1 - self.bar_graph_space) * width / 86400.0
width = width / 86400.0
offset = 0
elif self.gdata.key_type == 'string':
self.bar_graph_space = 0.1
width = (1 - self.bar_graph_space) * width
offset = self.bar_graph_space / 2.0
else:
offset = 0
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['starttime'])))
end_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['endtime'])))
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
if self.prefs.has_key('log_yaxis'):
tmp_b = [0.001]*nKeys
ymin = 0.001
else:
tmp_b = [0.]*nKeys
ymin = 0.
self.polygons = []
self.lines = []
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot',0.)]
color = self.prefs.get('plot_color','Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot',color)
else:
labels = [(color,0.)]
seq_b = [(self.gdata.max_num_key+width,0.0),(self.gdata.min_num_key,0.0)]
zorder = 0.0
dpi = self.prefs.get('dpi',100)
for label,num in labels:
color = self.palette.getColor(label)
ind = 0
tmp_x = []
tmp_y = []
tmp_t = []
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
value = 0.
tmp_x.append( offset+key )
#tmp_y.append( ymin )
tmp_y.append( 0.001 )
tmp_x.append( offset+key )
tmp_y.append( float(value)+tmp_b[ind] )
tmp_x.append( offset+key+width )
tmp_y.append( float(value)+tmp_b[ind] )
tmp_x.append( offset+key+width )
#tmp_y.append( ymin )
tmp_y.append( 0.001 )
tmp_t.append(float(value)+tmp_b[ind])
ind += 1
seq_t = zip(tmp_x,tmp_y)
seq = seq_t+seq_b
poly = Polygon( seq, facecolor=color, fill=True,
linewidth=pixelToPoint(0.2,dpi),
zorder=zorder)
self.ax.add_patch( poly )
self.polygons.append( poly )
tmp_b = list(tmp_t)
zorder -= 0.1
tight_bars_flag = self.prefs.get('tight_bars',False)
if tight_bars_flag:
setp( self.polygons, linewidth=0. )
#pivots = keys
#for idx in range(len(pivots)):
# self.coords[ pivots[idx] ] = self.bars[idx]
ymax = max(tmp_b)
ymax *= 1.1
if self.prefs.has_key('log_yaxis'):
ymin = 0.001
else:
ymin = min( tmp_b, 0. )
ymin *= 1.1
xmax=max(tmp_x)
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get( 'ymin', ymin )
ymax = self.prefs.get( 'ymax', ymax )
xmin = self.prefs.get( 'xmin', xmin )
xmax = self.prefs.get( 'xmax', xmax )
self.ax.set_xlim( xmin=xmin, xmax=xmax+offset )
self.ax.set_ylim( ymin=ymin, ymax=ymax )
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim( xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim( xmin=min(tmp_x), xmax=max(tmp_x))
def __init__(self, data, ax, prefs, *args, **kw):
PlotBase.__init__(self, data, ax, prefs, *args, **kw)
def draw(self):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num(datetime.datetime.fromtimestamp(to_timestamp(self.prefs["starttime"])))
end_plot = date2num(datetime.datetime.fromtimestamp(to_timestamp(self.prefs["endtime"])))
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [("SimplePlot", 0.0)]
color = self.prefs.get("plot_color", "Default")
if color.find("#") != -1:
self.palette.setColor("SimplePlot", color)
else:
labels = [(color, 0.0)]
tmp_max_y = []
tmp_min_y = []
tmp_x = []
for label, num in labels:
xdata = []
ydata = []
xerror = []
yerror = []
color = self.palette.getColor(label)
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
continue
tmp_x.append(key)
tmp_max_y.append(value + error)
tmp_min_y.append(value - error)
xdata.append(key)
ydata.append(value)
xerror.append(0.0)
yerror.append(error)
linestyle = self.prefs.get("linestyle", "-")
marker = self.prefs.get("marker", "o")
markersize = self.prefs.get("markersize", 8.0)
markeredgewidth = self.prefs.get("markeredgewidth", 1.0)
if not self.prefs.get("error_bars", False):
line = Line2D(
xdata,
ydata,
color=color,
linewidth=1.0,
marker=marker,
linestyle=linestyle,
markersize=markersize,
markeredgewidth=markeredgewidth,
markeredgecolor=darkenColor(color),
)
self.ax.add_line(line)
else:
self.ax.errorbar(
xdata,
ydata,
color=color,
linewidth=2.0,
marker=marker,
linestyle=linestyle,
markersize=markersize,
markeredgewidth=markeredgewidth,
markeredgecolor=darkenColor(color),
xerr=xerror,
yerr=yerror,
ecolor=color,
)
ymax = max(tmp_max_y)
ymax *= 1.1
ymin = min(tmp_min_y, 0.0)
ymin *= 1.1
if "log_yaxis" in self.prefs:
ymin = 0.001
xmax = max(tmp_x) * 1.1
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get("ymin", ymin)
ymax = self.prefs.get("ymax", ymax)
xmin = self.prefs.get("xmin", xmin)
xmax = self.prefs.get("xmax", xmax)
self.ax.set_xlim(xmin=xmin, xmax=xmax)
self.ax.set_ylim(ymin=ymin, ymax=ymax)
if self.gdata.key_type == "time":
if start_plot and end_plot:
self.ax.set_xlim(xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim(xmin=min(tmp_x), xmax=max(tmp_x))
def draw( self ):
PlotBase.draw( self )
self.x_formatter_cb( self.ax )
if self.gdata.isEmpty():
return None
tmp_x = []; tmp_y = []
# Evaluate the bar width
width = float( self.width )
offset = 0.
if self.gdata.key_type == 'time':
width = width / 86400.0
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num( datetime.datetime.fromtimestamp( to_timestamp( self.prefs['starttime'] ) ) )
end_plot = date2num( datetime.datetime.fromtimestamp( to_timestamp( self.prefs['endtime'] ) ) )
labels = self.gdata.getLabels()
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
tmp_x = []
tmp_y = []
self.bars = []
labels = self.gdata.getLabels()
nLabel = 0
labelNames = []
colors = []
xmin = None
xmax = None
for label, num in labels:
labelNames.append( label )
for key, value in self.gdata.getPlotNumData( label ):
if xmin is None or xmin > ( key + offset ):
xmin = key + offset
if xmax is None or xmax < ( key + offset ):
xmax = key + offset
if value is not None:
colors.append( self.getQualityColor( value ) )
tmp_x.append( key + offset )
tmp_y.append( 1. )
tmp_b.append( float( nLabel ) )
nLabel += 1
self.bars += self.ax.bar( tmp_x, tmp_y, bottom = tmp_b, width = width, color = colors )
dpi = self.prefs.get( 'dpi', 100 )
setp( self.bars, linewidth = pixelToPoint( 0.5, dpi ), edgecolor = '#AAAAAA' )
#pivots = keys
#for idx in range(len(pivots)):
# self.coords[ pivots[idx] ] = self.bars[idx]
ymax = float( nLabel )
self.ax.set_xlim( xmin = 0., xmax = xmax + width + offset )
self.ax.set_ylim( ymin = 0., ymax = ymax )
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim( xmin = start_plot, xmax = end_plot )
else:
self.ax.set_xlim( xmin = min( tmp_x ), xmax = max( tmp_x ) )
self.ax.set_yticks( [ i + 0.5 for i in range( nLabel ) ] )
self.ax.set_yticklabels( labelNames )
setp( self.ax.get_xticklines(), markersize = 0. )
setp( self.ax.get_yticklines(), markersize = 0. )
cax, kw = make_axes( self.ax, orientation = 'vertical', fraction = 0.07 )
cb = ColorbarBase( cax, cmap = cm.RdYlGn, norm = self.norms )
cb.draw_all()
def __init__(self,data,ax,prefs,*args,**kw):
PlotBase.__init__(self,data,ax,prefs,*args,**kw)
def draw( self ):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
tmp_x = []; tmp_y = []
labels = self.gdata.getLabels()
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
for n in range(nKeys):
if self.prefs.has_key('log_yaxis'):
tmp_b.append(0.001)
ymin = 0.001
else:
tmp_b.append(0.)
ymin = 0.
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['starttime'])))
end_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['endtime'])))
self.polygons = []
seq_b = [(self.gdata.max_num_key,0.0),(self.gdata.min_num_key,0.0)]
zorder = 0.0
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot',0.)]
color = self.prefs.get('plot_color','Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot',color)
else:
labels = [(color,0.)]
for label,num in labels:
color = self.palette.getColor(label)
ind = 0
tmp_x = []
tmp_y = []
plot_data = self.gdata.getPlotNumData(label)
for key, value in plot_data:
if value is None:
value = 0.
tmp_x.append( key )
tmp_y.append( float(value)+tmp_b[ind] )
ind += 1
seq_t = zip(tmp_x,tmp_y)
seq = seq_t+seq_b
poly = Polygon( seq, facecolor=color, fill=True, linewidth=.2, zorder=zorder)
self.ax.add_patch( poly )
self.polygons.append( poly )
tmp_b = list(tmp_y)
zorder -= 0.1
ymax = max(tmp_b); ymax *= 1.1
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
self.ax.set_xlim( xmin=xmin, xmax=max(tmp_x) )
self.ax.set_ylim( ymin=ymin, ymax=ymax )
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim( xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim( xmin=min(tmp_x), xmax=max(tmp_x))
def draw( self ):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['starttime'])))
end_plot = date2num( datetime.datetime.fromtimestamp(to_timestamp(self.prefs['endtime'])))
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot',0.)]
color = self.prefs.get('plot_color','Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot',color)
else:
labels = [(color,0.)]
tmp_max_y = []
tmp_min_y = []
tmp_x = []
for label,num in labels:
xdata = []
ydata = []
xerror = []
yerror = []
color = self.palette.getColor(label)
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
continue
tmp_x.append( key )
tmp_max_y.append( value + error )
tmp_min_y.append( value - error )
xdata.append( key )
ydata.append( value )
xerror.append( 0. )
yerror.append( error )
linestyle = self.prefs.get( 'linestyle', '-' )
marker = self.prefs.get( 'marker', 'o' )
markersize = self.prefs.get( 'markersize', 8. )
markeredgewidth = self.prefs.get( 'markeredgewidth', 1. )
if not self.prefs.get( 'error_bars', False ):
line = Line2D( xdata, ydata, color=color, linewidth=1., marker=marker, linestyle=linestyle,
markersize=markersize, markeredgewidth=markeredgewidth,
markeredgecolor = darkenColor( color ) )
self.ax.add_line( line )
else:
self.ax.errorbar( xdata, ydata, color=color, linewidth=2., marker=marker, linestyle=linestyle,
markersize=markersize, markeredgewidth=markeredgewidth,
markeredgecolor = darkenColor( color ), xerr = xerror, yerr = yerror,
ecolor=color )
ymax = max( tmp_max_y )
ymax *= 1.1
ymin = min( tmp_min_y, 0. )
ymin *= 1.1
if self.prefs.has_key('log_yaxis'):
ymin = 0.001
xmax=max(tmp_x)*1.1
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get( 'ymin', ymin )
ymax = self.prefs.get( 'ymax', ymax )
xmin = self.prefs.get( 'xmin', xmin )
xmax = self.prefs.get( 'xmax', xmax )
self.ax.set_xlim( xmin=xmin, xmax=xmax )
self.ax.set_ylim( ymin=ymin, ymax=ymax )
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim( xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim( xmin=min(tmp_x), xmax=max(tmp_x))
def draw(self):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
tmp_x = []
tmp_y = []
labels = self.gdata.getLabels()
nKeys = self.gdata.getNumberOfKeys()
tmp_b = []
for n in range(nKeys):
if 'log_yaxis' in self.prefs:
tmp_b.append(0.001)
else:
tmp_b.append(0.)
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['starttime'])))
end_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['endtime'])))
self.polygons = []
seq_b = [(self.gdata.max_num_key, 0.0), (self.gdata.min_num_key, 0.0)]
zorder = 0.0
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot', 0.)]
color = self.prefs.get('plot_color', 'Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot', color)
else:
labels = [(color, 0.)]
for label, num in labels:
color = self.palette.getColor(label)
ind = 0
tmp_x = []
tmp_y = []
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
value = 0.
tmp_x.append(key)
tmp_y.append(float(value) + tmp_b[ind])
ind += 1
seq_t = zip(tmp_x, tmp_y)
seq = seq_t + seq_b
poly = Polygon(seq,
facecolor=color,
fill=True,
linewidth=.2,
zorder=zorder)
self.ax.add_patch(poly)
self.polygons.append(poly)
tmp_b = list(tmp_y)
zorder -= 0.1
ymax = max(tmp_b)
ymax *= 1.1
ymin = min(tmp_b, 0.)
ymin *= 1.1
if 'log_yaxis' in self.prefs:
ymin = 0.001
xmax = max(tmp_x)
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get('ymin', ymin)
ymax = self.prefs.get('ymax', ymax)
xmin = self.prefs.get('xmin', xmin)
xmax = self.prefs.get('xmax', xmax)
self.ax.set_xlim(xmin=xmin, xmax=xmax)
self.ax.set_ylim(ymin=ymin, ymax=ymax)
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim(xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim(xmin=min(tmp_x), xmax=max(tmp_x))
def draw(self):
PlotBase.draw(self)
self.x_formatter_cb(self.ax)
if self.gdata.isEmpty():
return None
start_plot = 0
end_plot = 0
if "starttime" in self.prefs and "endtime" in self.prefs:
start_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['starttime'])))
end_plot = date2num(
datetime.datetime.fromtimestamp(
to_timestamp(self.prefs['endtime'])))
labels = self.gdata.getLabels()
labels.reverse()
# If it is a simple plot, no labels are used
# Evaluate the most appropriate color in this case
if self.gdata.isSimplePlot():
labels = [('SimplePlot', 0.)]
color = self.prefs.get('plot_color', 'Default')
if color.find('#') != -1:
self.palette.setColor('SimplePlot', color)
else:
labels = [(color, 0.)]
tmp_max_y = []
tmp_min_y = []
tmp_x = []
for label, num in labels:
xdata = []
ydata = []
xerror = []
yerror = []
color = self.palette.getColor(label)
plot_data = self.gdata.getPlotNumData(label)
for key, value, error in plot_data:
if value is None:
continue
tmp_x.append(key)
tmp_max_y.append(value + error)
tmp_min_y.append(value - error)
xdata.append(key)
ydata.append(value)
xerror.append(0.)
yerror.append(error)
linestyle = self.prefs.get('linestyle', '-')
marker = self.prefs.get('marker', 'o')
markersize = self.prefs.get('markersize', 8.)
markeredgewidth = self.prefs.get('markeredgewidth', 1.)
if not self.prefs.get('error_bars', False):
line = Line2D(xdata,
ydata,
color=color,
linewidth=1.,
marker=marker,
linestyle=linestyle,
markersize=markersize,
markeredgewidth=markeredgewidth,
markeredgecolor=darkenColor(color))
self.ax.add_line(line)
else:
self.ax.errorbar(xdata,
ydata,
color=color,
linewidth=2.,
marker=marker,
linestyle=linestyle,
markersize=markersize,
markeredgewidth=markeredgewidth,
markeredgecolor=darkenColor(color),
xerr=xerror,
yerr=yerror,
ecolor=color)
ymax = max(tmp_max_y)
ymax *= 1.1
ymin = min(tmp_min_y, 0.)
ymin *= 1.1
if self.prefs.has_key('log_yaxis'):
ymin = 0.001
xmax = max(tmp_x) * 1.1
if self.log_xaxis:
xmin = 0.001
else:
xmin = 0
ymin = self.prefs.get('ymin', ymin)
ymax = self.prefs.get('ymax', ymax)
xmin = self.prefs.get('xmin', xmin)
xmax = self.prefs.get('xmax', xmax)
self.ax.set_xlim(xmin=xmin, xmax=xmax)
self.ax.set_ylim(ymin=ymin, ymax=ymax)
if self.gdata.key_type == 'time':
if start_plot and end_plot:
self.ax.set_xlim(xmin=start_plot, xmax=end_plot)
else:
self.ax.set_xlim(xmin=min(tmp_x), xmax=max(tmp_x))
