updated hrv plot
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cf467c8554
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806fdaad4d
1 changed files with 179 additions and 126 deletions
305
hrv_trends.py
305
hrv_trends.py
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@ -25,6 +25,181 @@ HRV_CV = 'HrvCv'
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HRV_VAR_BASE = 'HrvVarBase'
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def plot_plotly():
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lts_trace = Scatter(x=pmc_data['date'],
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y=pmc_data['lts'],
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name='Fitness (LTS)',
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fill='tozeroy',
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line=dict(color='#1f77b4'))
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sts_trace = Scatter(x=pmc_data['date'],
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y=pmc_data['sts'],
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name='Fatigue (STS)',
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fill='tozeroy',
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line=dict(color='#FF6692'))
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sb_trace = Scatter(x=pmc_data['date'], y=pmc_data['sb'], name='Form (TSB)')
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hr_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HR_BASE],
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mode='lines',
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name=f'{BASELINE_DAYS}-day HR Baseline')
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hrv_ceiling_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_CEILING],
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fill=None,
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mode='lines',
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name=f"{NORMALRANGE_DAYS}-day Top Normal",
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line=dict(color='#b3f6d1', ))
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hrv_floor_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_FLOOR],
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fill='tonexty',
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mode='lines',
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name=f'{NORMALRANGE_DAYS}-day Bottom Normal',
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line=dict(color='#b3f6d1', ))
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hrv_base_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_BASE],
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mode='lines',
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name=f"{BASELINE_DAYS}-day Baseline",
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line=dict(color='red', ))
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hrv_trace = Bar(x=hrv_data['date'],
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y=hrv_data[HRV],
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name="Recovery Points",
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marker=dict(color='gray', ))
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hrv_cv_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_CV],
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name='CV',
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mode='lines',
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line=dict(color='yellow'))
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# session_rpe_trace = Bar(x=rpe['date'],
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# y=rpe['Session_RPE'],
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# name='RPE',
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# marker=dict(color='lightgray', ))
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rpe_trace = Bar(x=rpe['date'],
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y=rpe['RPE'],
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name='RPE',
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marker=dict(color='red', ))
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layout = Layout(
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template='plotly_dark',
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# paper_bgcolor='rgba(0,0,0,0)',
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# plot_bgcolor='rgba(0,0,0,0)',
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yaxis=dict(title="HRV Recovery Points", range=[5.5, 10]),
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yaxis2=dict(title="Coeffient of Variation", range=[0, 20]),
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yaxis3=dict(title=f'{TRAINING_STRESS}'),
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yaxis4=dict(title='HRV (ln(RMSSD)'),
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yaxis5=dict(title='HR (BPM)'),
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legend=dict(orientation="h"))
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fig = make_subplots(
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4,
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1,
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subplot_titles=[
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'HRV',
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'Coefficient of Variaton',
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'Stress',
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'HRV vs. HR',
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],
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specs=[
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[dict(secondary_y=False)],
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[dict(secondary_y=False)],
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[dict(secondary_y=False)],
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[dict(secondary_y=True)],
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# [dict(secondary_y=True)],
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],
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# horizontal_spacing=0.2,
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# vertical_spacing=0.2
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)
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fig.update_layout(template='plotly_dark')
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fig.add_trace(hrv_trace, 1, 1)
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fig.add_trace(hrv_ceiling_trace, 1, 1)
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fig.add_trace(hrv_floor_trace, 1, 1)
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fig.add_trace(hrv_base_trace, 1, 1)
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# fig.add_trace(sb_trace, 1, 1, secondary_y=True)
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fig.add_trace(hrv_cv_trace, 2, 1)
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fig.add_trace(sts_trace, 3, 1)
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fig.add_trace(lts_trace, 3, 1)
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fig.add_trace(hr_trace, 4, 1, secondary_y=True)
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fig.add_trace(hrv_base_trace, 4, 1)
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# fig.add_trace(session_rpe_trace, 2, 2)
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# fig.add_trace(rpe_trace, 5, 1)
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fig.update_layout(layout)
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fig.update_layout(
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dict(
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yaxis=dict(showline=True, mirror=True, ticks='inside'),
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yaxis2=dict(showline=True, mirror=True, ticks='inside'),
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yaxis3=dict(showline=True, mirror=True, ticks='inside'),
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yaxis4=dict(showline=True, mirror=True, ticks='inside'),
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yaxis5=dict(showline=True, mirror=True, ticks='inside'),
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yaxis6=dict(showline=True, mirror=True, ticks='inside'),
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yaxis7=dict(showline=True, mirror=True, ticks='inside'),
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yaxis8=dict(showline=True, mirror=True, ticks='inside'),
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xaxis=dict(showline=True, mirror=True, ticks='inside'),
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xaxis2=dict(showline=True, mirror=True, ticks='inside'),
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xaxis3=dict(showline=True, mirror=True, ticks='inside'),
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xaxis4=dict(showline=True, mirror=True, ticks='inside'),
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xaxis5=dict(showline=True, mirror=True, ticks='inside'),
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xaxis6=dict(showline=True, mirror=True, ticks='inside'),
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xaxis7=dict(showline=True, mirror=True, ticks='inside'),
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xaxis8=dict(showline=True, mirror=True, ticks='inside'),
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))
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fig.update_xaxes(showline=True,
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linewidth=1,
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linecolor='black',
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mirror=True)
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fig.update_yaxes(showline=True,
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linewidth=1,
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linecolor='black',
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mirror=True)
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f = plotly.offline.plot(fig,
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auto_open=False,
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filename=tempfile.gettempdir() + "/temp-plot.html")
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GC.webpage("file://" + f)
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def plot_native():
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GC.setChart(title='test',
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type=GC.CHART_LINE,
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orientation=GC_VERTICAL,
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legpos=GC_ALIGN_TOP,
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stack=False,
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animate=False)
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hrv_data['date_internal'] = (hrv_data['date'] -
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pd.to_datetime('1900-01-01').date()).dt.days
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xx = hrv_data['date_internal']
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settings = dict(symbol=GC_SYMBOL_NONE,
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line=GC_LINE_SOLID,
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color='red',
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opacity=100,
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xaxis='Date',
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yaxis='lnRMSSD',
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size=3,
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opengl=False)
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GC.addCurve(name='HRV', x=xx, y=hrv_data[HRV_BASE], **settings)
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settings['color'] = 'green'
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settings['opacity'] = 50
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settings['line'] = GC_LINE_DASH
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GC.addCurve(name='Normal Top', x=xx, y=hrv_data[HRV_CEILING], **settings)
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GC.addCurve(name='Normal Bot', x=xx, y=hrv_data[HRV_FLOOR], **settings)
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settings['color'] = 'yellow'
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settings['opacity'] = 100
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settings['line'] = GC_LINE_SOLID
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settings['yaxis'] = 'Coefficient of Variation'
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GC.addCurve(name='Variation', x=xx, y=hrv_data[HRV_CV], **settings)
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GC.setAxis('Date', type=GC.AXIS_DATE)
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GC.setAxis('Coefficient of Variation',
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type=GC.AXIS_CONTINUOUS,
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min=0,
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max=50)
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def get_hrv_measures():
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history = pd.DataFrame(GC.seasonMeasures(
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@ -46,7 +221,8 @@ def compute_hrv_trends(df: pd.DataFrame):
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df[HR_BASE] = df[HR].rolling(window=BASELINE_DAYS,
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min_periods=BASELINE_DAYS // 2).mean()
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df[HRV_VAR_BASE] = df[HRV].rolling(window=BASELINE_DAYS, min_periods=BASELINE_DAYS // 2).std()
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df[HRV_VAR_BASE] = df[HRV].rolling(window=BASELINE_DAYS,
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min_periods=BASELINE_DAYS // 2).std()
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df[HRV_CV] = df[HRV_VAR_BASE] / df[HRV_BASE] * 100.0
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return df
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@ -94,128 +270,5 @@ rpe = get_rpe()
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stress = get_stress()
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pmc_data = get_pmc_data(stress.iloc[-1]['date'])
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lts_trace = Scatter(x=pmc_data['date'],
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y=pmc_data['lts'],
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name='Fitness (LTS)',
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fill='tozeroy',
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line=dict(color='#1f77b4'))
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sts_trace = Scatter(x=pmc_data['date'],
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y=pmc_data['sts'],
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name='Fatigue (STS)',
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fill='tozeroy')
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sb_trace = Scatter(x=pmc_data['date'], y=pmc_data['sb'], name='Form (TSB)')
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hr_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HR_BASE],
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mode='lines',
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name=f'{BASELINE_DAYS}-day HR Baseline')
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hrv_ceiling_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_CEILING],
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fill=None,
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mode='lines',
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name=f"{NORMALRANGE_DAYS}-day Top Normal",
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line=dict(color='#b3f6d1', ))
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hrv_floor_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_FLOOR],
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fill='tonexty',
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mode='lines',
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name=f'{NORMALRANGE_DAYS}-day Bottom Normal',
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line=dict(color='#b3f6d1', ))
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hrv_base_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_BASE],
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mode='lines',
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name=f"{BASELINE_DAYS}-day Baseline",
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line=dict(color='red', ))
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hrv_trace = Bar(x=hrv_data['date'],
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y=hrv_data[HRV],
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name="Recovery Points",
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marker=dict(color='lightgray', ))
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hrv_cv_trace = Scatter(x=hrv_data['date'],
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y=hrv_data[HRV_CV],
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name='CV',
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mode='lines',
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line=dict(color='black'))
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# session_rpe_trace = Bar(x=rpe['date'],
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# y=rpe['Session_RPE'],
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# name='RPE',
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# marker=dict(color='lightgray', ))
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rpe_trace = Bar(x=rpe['date'],
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y=rpe['RPE'],
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name='RPE',
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marker=dict(color='red', ))
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layout = Layout(template='none',
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paper_bgcolor='rgba(0,0,0,0)',
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plot_bgcolor='rgba(0,0,0,0)',
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yaxis=dict(title="HRV Recovery Points", range=[5.5, 10]),
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yaxis2=dict(title="Coeffient of Variation", range=[0, 20]),
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yaxis3=dict(title=f'{TRAINING_STRESS}'),
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yaxis4=dict(title='HRV (ln(RMSSD)'),
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yaxis5=dict(title='HR (BPM)'),
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legend=dict(orientation="h"))
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fig = make_subplots(
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4,
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1,
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subplot_titles=[
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'HRV',
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'Stress',
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'HRV vs. HR',
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'RPE',
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],
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specs=[
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[dict(secondary_y=False)],
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[dict(secondary_y=False)],
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[dict(secondary_y=False)],
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[dict(secondary_y=True)],
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# [dict(secondary_y=True)],
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],
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# horizontal_spacing=0.2,
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# vertical_spacing=0.2
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)
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fig.add_trace(hrv_trace, 1, 1)
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fig.add_trace(hrv_ceiling_trace, 1, 1)
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fig.add_trace(hrv_floor_trace, 1, 1)
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fig.add_trace(hrv_base_trace, 1, 1)
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# fig.add_trace(sb_trace, 1, 1, secondary_y=True)
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fig.add_trace(hrv_cv_trace, 2, 1)
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fig.add_trace(sts_trace, 3, 1)
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fig.add_trace(lts_trace, 3, 1)
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fig.add_trace(hr_trace, 4, 1, secondary_y=True)
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fig.add_trace(hrv_base_trace, 4, 1)
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# fig.add_trace(session_rpe_trace, 2, 2)
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# fig.add_trace(rpe_trace, 5, 1)
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fig.update_layout(layout)
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fig.update_layout(
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dict(
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yaxis=dict(showline=True, mirror=True, ticks='inside'),
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yaxis2=dict(showline=True, mirror=True, ticks='inside'),
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yaxis3=dict(showline=True, mirror=True, ticks='inside'),
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yaxis4=dict(showline=True, mirror=True, ticks='inside'),
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yaxis5=dict(showline=True, mirror=True, ticks='inside'),
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yaxis6=dict(showline=True, mirror=True, ticks='inside'),
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yaxis7=dict(showline=True, mirror=True, ticks='inside'),
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yaxis8=dict(showline=True, mirror=True, ticks='inside'),
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xaxis=dict(showline=True, mirror=True, ticks='inside'),
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xaxis2=dict(showline=True, mirror=True, ticks='inside'),
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xaxis3=dict(showline=True, mirror=True, ticks='inside'),
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xaxis4=dict(showline=True, mirror=True, ticks='inside'),
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xaxis5=dict(showline=True, mirror=True, ticks='inside'),
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xaxis6=dict(showline=True, mirror=True, ticks='inside'),
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xaxis7=dict(showline=True, mirror=True, ticks='inside'),
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xaxis8=dict(showline=True, mirror=True, ticks='inside'),
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))
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fig.update_xaxes(showline=True, linewidth=1, linecolor='black', mirror=True)
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fig.update_yaxes(showline=True, linewidth=1, linecolor='black', mirror=True)
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f = plotly.offline.plot(fig,
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auto_open=False,
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filename=tempfile.gettempdir() + "/temp-plot.html")
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GC.webpage("file://" + f)
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plot_native()
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plot_plotly()
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