Golden Cheetah

import bisect
import plotly
import plotly.graph_objs as go
import numpy as np
# fix plotly output folder permission issue:
import os
os.chdir (os.environ['TEMP'])


#Get activity (used to get the date)
activity = GC.activityMetrics()
#Get zone information at this actvity date
zone = GC.athleteZones(date=activity["date"], sport="bike")

#Get intervals USER if that one is not find get all intervals

intervals = GC.activityIntervals(type="USER")
type_title = "USER"
if not intervals["name"]:
  type_title = "ALL"
  intervals = GC.activityIntervals()
 

#Identify for every interval the zone color
breaks = zone["zoneslow"][0]
zone_colors = zone["zonescolor"][0]

interval_colors = []

avg_power_pct =[]
for interval in intervals["Average_Power"]:
  id = bisect.bisect_left(breaks, interval)

  interval_colors.append(zone_colors[id-1])

  avg_power_pct.append(str(round((interval / zone["cp"][0])*100,1))+"%")


#Define chart title
title = "Average Power per Interval (CP:" + str(zone["cp"]) + ") Interval Type=" + str(type_title)

#Add percentage labels
zone_names = ["Z1", "Z2", "Z3", "Z4", "Z5", "Z6", "Z7"]
legend = []
zone_index=1
for zone in breaks:
  legend.append("Z" + str(zone_index) + "(" + str(zone) + ")")
  zone_index += 1


lap_names = np.asarray(intervals["name"])
watts_y = np.asarray(intervals["Average_Power"])
x = np.asarray(intervals["start"])
duration = np.asarray(intervals["Duration"])

trace0 = go.Scatter(
    x=x,
    y=watts_y,
    mode='text',
    showlegend=False,

)

data = [trace0]
for i in np.arange(0,len(legend)):

    data.append(go.Scatter(
        x=[None],
        y=[None],
        mode='markers',
        marker=dict(size=10, color=zone_colors[i]),

        legendgroup=legend[i],
        showlegend=True,
        name=legend[i])
    )


# Create rectangles per interval
shapes = []
annotations = []
for i in np.arange(0,len(lap_names)):
    shapes.append(
       {
        'type': 'rect',
        'x0': x[i],
        'y0': 0,
        'x1': x[i]+duration[i],
        'y1': watts_y[i],
        'fillcolor': interval_colors[i],
    })
    annotations.append(
        dict(
            x=x[i] + (duration[i]/2),
            y=watts_y[i],
            xref='x',
            yref='y',
            text=str(lap_names[i]) + "<br>" + str(avg_power_pct[i]) + "<br>" + str(duration[i]) + "s",
            showarrow=True,
            arrowhead=7,
            ax=0,
            ay=-40
        ))


layout = go.Layout(
    title = title,
    xaxis = dict(
        range=[0, max(x)],
        showgrid=True,
        autorange=True,
        zeroline=False,
        showline=False,
        ticks='',
        showticklabels=False

    ),
    yaxis = dict(
        range=[0,  max(watts_y)]
    ),
    margin=go.layout.Margin(
        l=50,
        r=50,
        b=100,
        t=150,
        pad=4
    ),
    shapes=shapes,
    annotations=annotations,

)

fig = go.Figure(data=data, layout=layout)

plot = plotly.offline.plot(fig, auto_open=False)
## Load Plot

# fix plotly output folder permission issue:
GC.webpage(os.environ['TEMP']+'\\'+plot)