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Updated create_heart_rate_plot(df), new Zone + percentage_sum indicators

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Marcel Weschke
2025-10-16 16:14:06 +02:00
parent 229a3be790
commit dd3ab6c13d
1 changed files with 23 additions and 12 deletions
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35
jogging_dashboard_browser_app.py
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@@ -1115,30 +1115,41 @@ def create_heart_rate_plot(df):
max_hr_estimated = 200 # oder z. B. 220 - alter
## Definiere feste HR-Zonen in BPM
#zones = [
# {"name": "Zone 1", "lower": 0, "upper": 124, "color": "#F4A4A3"}, # Regeneration (Recovery)
# {"name": "Zone 2", "lower": 124, "upper": 154, "color": "#EF7476"}, # Grundlagenausdauer (Endurance)
# {"name": "Zone 3", "lower": 154, "upper": 169, "color": "#EA4748"}, # Tempo (Aerob)
# {"name": "Zone 4", "lower": 169, "upper": 184, "color": "#E02628"}, # Schwelle (Threshold) (Anaerob)
# {"name": "Zone 5", "lower": 184, "upper": max_hr_estimated, "color": "#B71316"}, # Neuromuskulär (Neuromuskulär)
#]
zones = [
{"name": "Zone 1", "lower": 0, "upper": 124, "color": "#4A4A4A"}, # Regeneration (Recovery) (#111111 Transparent)
{"name": "Zone 0", "lower": 0, "upper": 40, "color": "#333333"}, # Unrealistischer Wertebereich
{"name": "Zone 1", "lower": 40, "upper": 124, "color": "#4A4A4A"}, # Regeneration (Recovery) (#111111 Transparent)
{"name": "Zone 2", "lower": 124, "upper": 154, "color": "#87CEFA"}, # Grundlagenausdauer (Endurance)
{"name": "Zone 3", "lower": 154, "upper": 169, "color": "#90EE90"}, # Tempo (Aerob)
{"name": "Zone 4", "lower": 169, "upper": 184, "color": "#FFDAB9"}, # Schwelle (Threshold) (Anaerob)
{"name": "Zone 5", "lower": 184, "upper": max_hr_estimated, "color": "#FFB6C1"}, # Neuromuskulär (Neuromuskulär)
]
# Zeichne Zonen als Hintergrund (horizontale Rechtecke)
# Berechne die Anzahl der Werte in jeder Zone
total_count = len(valid_hr)
for zone in zones:
# Filter für die Zone
zone_count = valid_hr[(valid_hr >= zone["lower"]) & (valid_hr < zone["upper"])].count()
zone_percentage = (zone_count / total_count) * 100 if total_count > 0 else 0
# Zeichne die Zone als Hintergrund
fig.add_hrect(
y0=zone["lower"], y1=zone["upper"],
fillcolor=zone["color"],
opacity=0.15,
line_width=0,
annotation_text=zone["name"], # optional: Name der Zone einblenden
annotation_position="top left"
)
# Annotation für die Zone (Name und Prozentsatz)
fig.add_annotation(
x=df['time_loc'].iloc[-1], # Rechts am Plot
y=zone["upper"] -6 , # Oben in der Zone
#y=(zone["lower"] + zone["upper"]) / 2, # Falls Pos. mittig je Zone gewünscht
text=f"{zone['name']}<br>{zone_percentage:.1f}%",
showarrow=False,
font=dict(color="white", size=10),
align="left",
bgcolor="rgba(0,0,0,0.5)",
bordercolor="gray",
)
# Layout
@@ -1155,7 +1166,7 @@ def create_heart_rate_plot(df):
),
yaxis=dict(
title='Herzfrequenz (bpm)',
range=[80, 200] # Statt rangemode='tozero'
range=[70, 200] # instead of: rangemode='tozero'
),
template='plotly_dark',
paper_bgcolor='#1e1e1e',