legend
This commit is contained in:
@@ -11,7 +11,7 @@ from django.utils import timezone
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from bokeh.palettes import Dark2_8 as palette
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from bokeh.palettes import Dark2_8 as palette
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import itertools
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import itertools
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from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
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from bokeh.plotting import figure, ColumnDataSource, Figure,curdoc
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from bokeh.models import CustomJS,Slider, TextInput
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from bokeh.models import CustomJS,Slider, TextInput,BoxAnnotation
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from bokeh.charts import Histogram,HeatMap,Area,BoxPlot
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from bokeh.charts import Histogram,HeatMap,Area,BoxPlot
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from bokeh.resources import CDN,INLINE
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from bokeh.resources import CDN,INLINE
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from bokeh.embed import components
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from bokeh.embed import components
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@@ -1189,7 +1189,7 @@ def interactive_chart(id=0,promember=0):
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def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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ploterrorbars=False,
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ploterrorbars=False,
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title=None,binsize=1):
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title=None,binsize=1,colorlegend=[]):
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if datadf.empty:
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if datadf.empty:
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return ['','<p>No non-zero data in selection</p>']
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return ['','<p>No non-zero data in selection</p>']
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@@ -1259,18 +1259,17 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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datadf,
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datadf,
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)
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)
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TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,resize'
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TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,resize'
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if groupby != 'date':
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if groupby != 'date':
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hover = HoverTool(names=['data'],
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hover = HoverTool(names=['data'],
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tooltips = [
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tooltips = [
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(groupby,'@groupval{1.1}')
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(groupby,'@groupval{1.1}'),
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])
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])
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else:
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else:
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hover = HoverTool(names=['data'],
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hover = HoverTool(names=['data'],
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tooltips = [
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tooltips = [
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(groupby,'@groupval')
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(groupby,'@groupval'),
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])
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])
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hover.mode = 'mouse'
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hover.mode = 'mouse'
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@@ -1281,7 +1280,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
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plot = Figure(x_axis_type=x_axis_type,y_axis_type=y_axis_type,
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tools=TOOLS,
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tools=TOOLS,
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toolbar_location="above",
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toolbar_location="above",
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toolbar_sticky=False)
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toolbar_sticky=False) #,plot_width=500,plot_height=500)
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# add watermark
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# add watermark
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plot.extra_y_ranges = {"watermark": watermarkrange}
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plot.extra_y_ranges = {"watermark": watermarkrange}
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@@ -1300,7 +1299,7 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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x_range_name = "watermark",
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x_range_name = "watermark",
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y_range_name = "watermark",
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y_range_name = "watermark",
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)
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)
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errorbar(plot,xparam,yparam,source=source,
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errorbar(plot,xparam,yparam,source=source,
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xerr=ploterrorbars,
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xerr=ploterrorbars,
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yerr=ploterrorbars,
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yerr=ploterrorbars,
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@@ -1311,6 +1310,34 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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},
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},
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)
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)
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for nr, gvalue, color in colorlegend:
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box = BoxAnnotation(bottom=500-20*nr,left=550,top=520-20*nr,
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right=570,
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bottom_units='screen',
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top_units='screen',
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left_units='screen',
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right_units='screen',
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fill_color=color)
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legendlabel = Label(x=571,y=503-20*nr,x_units='screen',
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y_units='screen',
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text = "{gvalue:3.0f}".format(gvalue=gvalue),
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background_fill_alpha=1.0,
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text_color='black',
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text_font_size=value("0.7em"))
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plot.add_layout(box)
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plot.add_layout(legendlabel)
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if colorlegend:
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legendlabel = Label(x=372,y=300,x_units='screen',
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y_units='screen',
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text = 'group legend',
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text_color='black',
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text_font_size=value("0.7em"),
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angle=90,
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angle_units='deg')
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if xparam == 'workoutid':
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if xparam == 'workoutid':
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plot.xaxis.axis_label = 'Workout'
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plot.xaxis.axis_label = 'Workout'
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else:
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else:
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@@ -1,9 +1,20 @@
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import math
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import math
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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import colorsys
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lbstoN = 4.44822
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lbstoN = 4.44822
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def range_to_color_hex(groupcols):
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rgb = [colorsys.hsv_to_rgb((207-4*x)/360.,
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0.06+0.89*x,
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1-0.38*x) for x in groupcols]
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RGB = [(int(255.*r),int(255.*g),int(255.*b)) for (r, g, b) in rgb]
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colors = ["#%02x%02x%02x" % (r, g, b) for (r, g, b) in RGB]
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return colors
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def str2bool(v):
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def str2bool(v):
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return v.lower() in ("yes", "true", "t", "1")
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return v.lower() in ("yes", "true", "t", "1")
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@@ -272,7 +272,7 @@ def splitstdata(lijst):
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from utils import (
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from utils import (
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geo_distance,serialize_list,deserialize_list,uniqify,
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geo_distance,serialize_list,deserialize_list,uniqify,
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str2bool
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str2bool,range_to_color_hex
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)
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)
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import datautils
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import datautils
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@@ -3570,9 +3570,12 @@ def multiflex_view(request,userid=0,
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yerror = groups.std()[yparam]
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yerror = groups.std()[yparam]
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groupsize = groups.count()[xparam]
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groupsize = groups.count()[xparam]
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#groupsize = 15.*np.log10(1+99.*groupsize/float(max(groupsize)))
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if len(groupsize) == 0:
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groupsize = 30.*np.sqrt(groupsize/float(max(groupsize)))
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messages.error(request,'No data in selection')
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url = reverse(user_multiflex_select)
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return HttpResponseRedirect(url)
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else:
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groupsize = 30.*np.sqrt(groupsize/float(groupsize.max()))
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df = pd.DataFrame({
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df = pd.DataFrame({
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xparam:xvalues,
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xparam:xvalues,
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@@ -3604,16 +3607,19 @@ def multiflex_view(request,userid=0,
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if aantal == 1:
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if aantal == 1:
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groupcols = np.array([1.])
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groupcols = np.array([1.])
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# rgb = [colorsys.hsv_to_rgb(float(x/100.), 1.0, 1.0) for x in groupcols]
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rgb = [colorsys.hsv_to_rgb((207-4*x)/360.,
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0.06+0.89*x,
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1-0.38*x) for x in groupcols]
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groupcols *= 100.
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colors = range_to_color_hex(groupcols)
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RGB = [(int(255.*r),int(255.*g),int(255.*b)) for (r, g, b) in rgb]
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colors = ["#%02x%02x%02x" % (r, g, b) for (r, g, b) in RGB]
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df['color'] = colors
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df['color'] = colors
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clegendx = np.arange(0,1.2,.2)
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legcolors = range_to_color_hex(clegendx)
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clegendy = df['groupval'].min()+clegendx*(df['groupval'].max()-df['groupval'].min())
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colorlegend = zip(range(6),clegendy,legcolors)
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if userid == 0:
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if userid == 0:
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extratitle = ''
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extratitle = ''
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else:
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else:
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@@ -3626,7 +3632,8 @@ def multiflex_view(request,userid=0,
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groupby,
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groupby,
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extratitle=extratitle,
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extratitle=extratitle,
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ploterrorbars=ploterrorbars,
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ploterrorbars=ploterrorbars,
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binsize=binsize)
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binsize=binsize,
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colorlegend=colorlegend)
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