Merge branch 'release/v3.43'
This commit is contained in:
+9
-1
@@ -327,6 +327,11 @@ formaxlabelsmultiflex.pop('distance')
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formaxlabelsmultiflex['workoutid'] = 'Workout'
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parchoicesmultiflex = list(sorted(formaxlabelsmultiflex.items(), key = lambda x:x[1]))
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from utils import palettes
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#palettechoices = { key:key for key, value in palettes.iteritems() }
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palettechoices = tuple((p,p) for p in palettes.keys())
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class MultiFlexChoiceForm(forms.Form):
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xparam = forms.ChoiceField(choices=parchoicesmultiflex,
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@@ -352,7 +357,10 @@ class MultiFlexChoiceForm(forms.Form):
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includereststrokes = forms.BooleanField(initial=False,
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required=False,
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label='Include Rest Strokes')
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palette = forms.ChoiceField(choices=palettechoices,
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label = 'Color Scheme',
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initial='monochrome_blue')
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class ChartParamChoiceForm(forms.Form):
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plotchoices = (
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('line','Line Plot'),
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+57
-14
@@ -1,3 +1,4 @@
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import colorsys
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from rowers.models import Workout, User, Rower, WorkoutForm,RowerForm,GraphImage
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from rowingdata import rower as rrower
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from rowingdata import main as rmain
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@@ -10,7 +11,7 @@ from django.utils import timezone
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from bokeh.palettes import Dark2_8 as palette
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import itertools
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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.resources import CDN,INLINE
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from bokeh.embed import components
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@@ -70,11 +71,9 @@ watermarkh = 35
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watermarkanchor = 'bottom_right'
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def errorbar(fig, x, y, source=ColumnDataSource(),
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xerr=False, yerr=False, color='red',
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xerr=False, yerr=False, color='black',
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point_kwargs={}, error_kwargs={}):
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fig.circle(x, y, source=source, name='data',color=color,
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**point_kwargs)
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xvalues = source.data[x]
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yvalues = source.data[y]
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@@ -96,7 +95,12 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
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for px, py, err, color in zip(xvalues, yvalues, xerrvalues, colorvalues):
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x_err_x.append((px - err, px + err))
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x_err_y.append((py, py))
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err_color.append(color)
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(r, g, b) = tuple(int(color[i:i+2],16) for i in (1, 3, 5))
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h,s,v = colorsys.rgb_to_hsv(r/255., g/255., b/255.)
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v = v*0.8
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r, g, b = colorsys.hsv_to_rgb(h, s, v)
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color2 = "#%02x%02x%02x" % (int(255.*r), int(255.*g), int(255*b))
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err_color.append(color2)
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fig.multi_line(x_err_x, x_err_y, color=err_color,
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name='xerr',
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@@ -113,13 +117,22 @@ def errorbar(fig, x, y, source=ColumnDataSource(),
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for px, py, err, color in zip(xvalues, yvalues, yerrvalues, colorvalues):
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y_err_x.append((px, px))
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y_err_y.append((py - err, py + err))
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err_color.append(color)
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(r, g, b) = tuple(int(color[i:i+2],16) for i in (1, 3, 5))
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h,s,v = colorsys.rgb_to_hsv(r/255., g/255., b/255.)
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v = v*0.8
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r, g, b = colorsys.hsv_to_rgb(h, s, v)
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color2 = "#%02x%02x%02x" % (int(255.*r), int(255.*g), int(255*b))
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err_color.append(color2)
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fig.multi_line(y_err_x, y_err_y, color=err_color,
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name='yerr',**error_kwargs)
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except TypeError:
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pass
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fig.circle(x, y, source=source, name='data',color=color,
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**point_kwargs)
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def tailwind(bearing,vwind,winddir):
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""" Calculates head-on head/tailwind in direction of rowing
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@@ -1176,7 +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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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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return ['','<p>No non-zero data in selection</p>']
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@@ -1246,18 +1259,17 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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datadf,
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)
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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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hover = HoverTool(names=['data'],
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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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else:
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hover = HoverTool(names=['data'],
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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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hover.mode = 'mouse'
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@@ -1268,7 +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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tools=TOOLS,
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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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plot.extra_y_ranges = {"watermark": watermarkrange}
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@@ -1287,17 +1299,48 @@ def interactive_multiflex(datadf,xparam,yparam,groupby,extratitle='',
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x_range_name = "watermark",
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y_range_name = "watermark",
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)
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errorbar(plot,xparam,yparam,source=source,
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xerr=ploterrorbars,
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yerr=ploterrorbars,
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point_kwargs={
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'line_color':None,
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'line_color':"#969696",
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'size':"groupsize",
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'fill_color':"color",
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'fill_alpha':1.0,
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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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fill_alpha=1.0,
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line_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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plot.xaxis.axis_label = 'Workout'
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else:
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@@ -1,9 +1,59 @@
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import math
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import numpy as np
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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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def trcolors(r1,g1,b1,r2,g2,b2):
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r1 = r1/255.
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r2 = r2/255.
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g1 = g1/255.
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g2 = g2/255.
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b2 = b2/255.
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b1 = b1/255.
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h1,s1,v1 = colorsys.rgb_to_hsv(r1,g1,b1)
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h2,s2,v2 = colorsys.rgb_to_hsv(r2,g2,b2)
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return 360*h1,360*(h2-h1),s1,(s2-s1),v1,(v2-v1)
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palettes = {
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'monochrome_blue':(207,-4,0.06,0.89,1.0,-0.38),
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'gold_sunset':(47,-31,.26,-0.12,0.94,-0.5),
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'blue_red':(207,-200,.85,0,.74,-.24),
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'blue_green':(207,-120,.85,0,.75,.25),
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'cyan_green':(192,-50,.08,.65,.98,-.34),
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'cyan_purple':trcolors(237,248,251,136,65,157),
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'green_blue':trcolors(240,249,232,8,104,172),
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'orange_red':trcolors(254,240,217,179,0,0),
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'cyan_blue':trcolors(241,238,246,4,90,141),
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'cyan_green':trcolors(246,239,247,1,108,89),
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'cyan_magenta':trcolors(241,238,246,152,0,67),
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'beige_magenta':trcolors(254,235,226,122,1,119),
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'yellow_green':trcolors(255,255,204,0,104,55),
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'yellow_blue':trcolors(255,255,205,37,52,148),
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'autumn':trcolors(255,255,212,153,52,4),
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'yellow_red':trcolors(255,255,178,189,0,39)
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}
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def range_to_color_hex(groupcols,palette='monochrome_blue'):
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try:
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plt = palettes[palette]
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except KeyErro:
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plt = palettes['monochrome_blue']
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rgb = [colorsys.hsv_to_rgb((plt[0]+plt[1]*x)/360.,
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plt[2]+plt[3]*x,
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plt[4]+plt[5]*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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return v.lower() in ("yes", "true", "t", "1")
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+30
-10
@@ -272,7 +272,7 @@ def splitstdata(lijst):
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from utils import (
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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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import datautils
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@@ -3435,6 +3435,11 @@ def multiflex_view(request,userid=0,
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ploterrorbars = options['ploterrorbars']
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except KeyError:
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ploterrorbars = False
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try:
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palette = options['palette']
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except KeyError:
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palette = 'blue_green'
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workstrokesonly = not includereststrokes
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@@ -3454,7 +3459,9 @@ def multiflex_view(request,userid=0,
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request.session['ploterrorbars'] = ploterrorbars
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request.session['includereststrokes'] = includereststrokes
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workstrokesonly = not includereststrokes
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palette = chartform.cleaned_data['palette']
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request.session['palette'] = palette
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groupby = chartform.cleaned_data['groupby']
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binsize = chartform.cleaned_data['binsize']
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if binsize <= 0:
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@@ -3482,6 +3489,8 @@ def multiflex_view(request,userid=0,
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request.session['ploterrorbars'] = ploterrorbars
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request.session['includereststrokes'] = includereststrokes
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workstrokesonly = not includereststrokes
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palette = chartform.cleaned_data['palette']
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request.session['palette'] = palette
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groupby = chartform.cleaned_data['groupby']
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binsize = chartform.cleaned_data['binsize']
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@@ -3570,9 +3579,12 @@ def multiflex_view(request,userid=0,
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yerror = groups.std()[yparam]
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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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groupsize = 30.*np.sqrt(groupsize/float(max(groupsize)))
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if len(groupsize) == 0:
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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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xparam:xvalues,
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@@ -3604,12 +3616,19 @@ def multiflex_view(request,userid=0,
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if aantal == 1:
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groupcols = np.array([1.])
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groupcols *= 100.
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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 = [(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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colors = range_to_color_hex(groupcols,palette=palette)
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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,palette=palette)
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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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extratitle = ''
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else:
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@@ -3622,7 +3641,8 @@ def multiflex_view(request,userid=0,
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groupby,
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extratitle=extratitle,
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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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