Cronocide/fitbit-web-ui-app
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added legends for steps count

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Arpan Ghosh 2023-07-27 00:59:04 -04:00
parent 2d9ec8f171
commit ab2b708058
2 changed files with 7 additions and 0 deletions
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1
requirements.txt
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@ -1,5 +1,6 @@
dash==2.11.1 dash==2.11.1
pandas==2.0.3 pandas==2.0.3
numpy==1.25.0
plotly==5.15.0 plotly==5.15.0
requests==2.29.0 requests==2.29.0
gunicorn gunicorn

6
src/app.py
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@ -4,6 +4,7 @@ from dash import dcc
from dash import html from dash import html
from dash.dependencies import Output, State, Input from dash.dependencies import Output, State, Input
import pandas as pd import pandas as pd
import numpy as np
import plotly.express as px import plotly.express as px
from datetime import datetime, timedelta from datetime import datetime, timedelta
@ -162,6 +163,8 @@ def update_output(n_clicks, value, start_date, end_date):
"SPO2": spo2_list "SPO2": spo2_list
}) })
non_zero_steps_df = df_merged[df_merged["Steps Count"] != 0]
# Plotting data----------------------------------------------------------------------------------------------------------------------- # Plotting data-----------------------------------------------------------------------------------------------------------------------
fig_rhr = px.line(df_merged, x="Date", y="Resting Heart Rate", line_shape="spline", color_discrete_sequence=["#d30f1c"], title="Daily Resting Heart Rate") fig_rhr = px.line(df_merged, x="Date", y="Resting Heart Rate", line_shape="spline", color_discrete_sequence=["#d30f1c"], title="Daily Resting Heart Rate")
@ -170,6 +173,9 @@ def update_output(n_clicks, value, start_date, end_date):
fig_rhr.add_hline(y=df_merged["Resting Heart Rate"].mean(), line_dash="dot",annotation_text="Average : " + str(round(df_merged["Resting Heart Rate"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) fig_rhr.add_hline(y=df_merged["Resting Heart Rate"].mean(), line_dash="dot",annotation_text="Average : " + str(round(df_merged["Resting Heart Rate"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff"))
fig_rhr.add_hrect(y0=62, y1=68, fillcolor="green", opacity=0.15, line_width=0) fig_rhr.add_hrect(y0=62, y1=68, fillcolor="green", opacity=0.15, line_width=0)
fig_steps = px.bar(df_merged, x="Date", y="Steps Count", title="Daily Steps Count") fig_steps = px.bar(df_merged, x="Date", y="Steps Count", title="Daily Steps Count")
fig_steps.add_annotation(x=df_merged.iloc[df_merged["Steps Count"].idxmax()]["Date"], y=df_merged["Steps Count"].max(), text=str(df_merged["Steps Count"].max())+" steps", showarrow=False, arrowhead=0, bgcolor="#5f040a", opacity=0.80, yshift=15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), )
fig_steps.add_annotation(x=non_zero_steps_df.iloc[non_zero_steps_df["Steps Count"].idxmin()]["Date"], y=non_zero_steps_df["Steps Count"].min(), text=str(non_zero_steps_df["Steps Count"].min())+" steps", showarrow=False, arrowhead=0, bgcolor="#0b2d51", opacity=0.80, yshift=-15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), )
fig_steps.add_hline(y=non_zero_steps_df["Steps Count"].mean(), line_dash="dot",annotation_text="Average : " + str(round(df_merged["Steps Count"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.8, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff"))
fig_activity_minutes = px.bar(df_merged, x="Date", y=["Fat Burn Minutes", "Cardio Minutes", "Peak Minutes"], title="Activity Minutes") fig_activity_minutes = px.bar(df_merged, x="Date", y=["Fat Burn Minutes", "Cardio Minutes", "Peak Minutes"], title="Activity Minutes")
fig_activity_minutes.update_layout(yaxis_title='Active Minutes') fig_activity_minutes.update_layout(yaxis_title='Active Minutes')
fig_weight = px.line(df_merged, x="Date", y="weight", line_shape="spline", color_discrete_sequence=["#6b3908"], title="Weight") fig_weight = px.line(df_merged, x="Date", y="weight", line_shape="spline", color_discrete_sequence=["#6b3908"], title="Weight")