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harryturr_app.py
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import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from worker_functions import num_to_month
import pandas as pd
import numpy as np
import react_buttons
# import data
df2 = pd.read_csv("activities_5_correct.csv")
df2 = df2.reindex(
columns=[
"Activity_Type",
"Date",
"Title",
"Distance",
"Calories",
"Time",
"Avg_HR",
"Max_HR",
"Avg_Pace",
"Elev_Gain",
]
)
df_overviewdata = df2
df2.Time = [
int(i.split(":")[0]) * 60 + int(i.split(":")[1]) * 1 + int(i.split(":")[2]) / 60
for i in df2.Time
]
external_stylesheets = ["./assets/style.css"]
styles = {"pre": {"border": "thin lightgrey solid", "overflowX": "scroll"}}
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.title = "HARRYTURR"
server = app.server
# generate activity dictionary
activity_dict = []
for i in df2.Activity_Type.unique():
activity_dict.append(dict(label=i, value=i))
header_dict = []
for i in list(df2):
header_dict.append(dict(label=i, value=i))
counter = len(df2)
app.layout = html.Div(
children=[
# header
html.H1(children="H A R R Y T U R R"),
html.H4(children="visualizing my garmin .gpx 'turs' 🚲"),
html.Div(
children=[
html.Div(
children=[
# block number of activities
html.H1(
id="no-act-text",
children=str(counter),
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
"font-size": "700%",
},
),
html.Br(),
html.H6(
children="total activities",
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
],
style={
"width": "28%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
className="mini_container",
),
html.Div(
children=[
# block total distance
html.H1(
id="distance-text",
children=str(counter),
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
"font-size": "750%",
},
),
html.Br(),
html.H6(
children="total kilometers",
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
],
style={
"width": "28%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
className="mini_container",
),
html.Div(
children=[
# block total time spent
html.H1(
id="time-text",
children=str(counter),
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
"font-size": "750%",
},
),
html.Br(),
html.H6(
children="total hours",
style={
# "width": "45%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
],
style={
"width": "28%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
className="mini_container",
),
],
style={
"width": "90%",
"display": "inline-block",
"align-items": "center",
"justify-content": "space-between",
"min-width": "400px%"
# "marginBottom": "-10em",
},
),
html.Br(),
html.Div(
children=[
# main scatter plot with all activities
dcc.Graph(
id="activity-scatter",
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
)
],
className="mini_container",
style={
"width": "57%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
html.Div(
children=[
html.Div(
children=[
# slider with the month range
html.Div(
id="month-to-month",
children=[html.P(children="select your month range:")],
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
"padding-left": "5%",
# "padding-right": "50%",
},
),
dcc.RangeSlider(
id="month-slider",
min=pd.to_numeric(df2["Date"].str[5:7].min()),
max=pd.to_numeric(df2["Date"].str[5:7].max()),
value=[
pd.to_numeric(df2["Date"].str[5:7].min()),
pd.to_numeric(df2["Date"].str[5:7].max()),
],
marks={
str(month): str(month)
for month in pd.to_numeric(
df2["Date"].str[5:7].unique()
)
},
step=None,
),
html.Br(),
# react button custom component
html.Div(
[
react_buttons.ReactButtons(
id="input",
value="sample value testing",
label="my-label",
test_text="none",
children="please click a button",
)
]
),
],
className="mini_container",
),
html.Div(
children=[
html.P("pick your y-axis", style={"font-weight": "bold"}),
# interactive radio buttons to pick y axis for plotting
dcc.RadioItems(
id="yaxis-radio",
options=[
header_dict[3],
header_dict[4],
header_dict[5],
header_dict[6],
header_dict[7],
header_dict[8],
header_dict[9],
],
value=header_dict[3]["value"],
style={"marginBottom": "0em"},
),
],
className="mini_container",
),
html.Div(
children=[
html.P("choose activity types", style={"font-weight": "bold"}),
# checklist to filter which activity types to display on activity-scatter
dcc.Checklist(
id="activity-checklist",
options=[
activity_dict[0],
activity_dict[1],
activity_dict[2],
activity_dict[3],
],
value=[
activity_dict[0]["value"],
activity_dict[1]["value"],
activity_dict[2]["value"],
activity_dict[3]["value"],
],
style={"marginBottom": "0em"},
),
],
className="mini_container",
),
],
style={
"width": "25%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
# pick a point off of activity-scatter in order to get more in depth details
html.Div(
children=[
html.Div(id="my-div"),
html.H6(
id="activity-pick-a-point",
children="select a point to see more details below",
className="mini_container",
style={
"width": "82%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
# "background-color": "yellow"
},
),
# elevation trace and lat vs lon plots
html.Div(
[
html.Div(
children=[
dcc.Graph(id="elevation-graph"),
html.H6(
"elevation profile",
style={"display": "inline-block"},
),
],
className="mini_container",
style={
"width": "31%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
html.Div(
children=[
dcc.Graph(id="lat-lon-graph"),
html.H6(
"gps coordinates", style={"display": "inline-block"}
),
],
className="mini_container",
style={
"width": "31%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
# activity statistics box
html.Div(
children=[
html.Div(
children=[
html.H5("activity stats"),
html.Div(
children=[
html.P(
"date: ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="date_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"activity type: ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="type_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"distance (km): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="distance_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"calories (kCal): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="calories_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"time (hrs): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="time_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"avg HR (bpm): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="avg_hr_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"max HR (bpm): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="max_hr_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"avg pace (kph): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="avg_pace_text",
style={"display": "inline"},
),
]
),
html.Div(
children=[
html.P(
"elev gain (m): ",
style={
"font-weight": "bold",
"display": "inline",
},
),
html.P(
children="...",
id="elev_gain_text",
style={"display": "inline"},
),
]
),
],
className="mini_container",
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
html.Div(
[
html.H6(
"made with ❤ and ☕ using Plot.ly Dash",
className="mini_container",
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
)
]
),
],
style={
"width": "13%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
],
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
],
style={
"width": "100%",
"display": "inline-block",
"align-items": "center",
"justify-content": "center",
},
),
# box containing hyperlinks to personal site and github repo
html.Div(
[
html.P("Built by ", style={"display": "inline"}),
html.A("Harrisonn Griffin", href="https://harrisonngriffin.com"),
html.P(" | Github repo can be found ", style={"display": "inline"}),
html.A("here", href="https://github.com/harryturr/harryturr_garmin_dashboard"),
],
id="info_conatiner",
className="mini_container",
style={"width": "90%"},
),
html.Div(id="output", style={"color": "#f2f2f2"}),
]
)
@app.callback(
[Output("output", "children"), Output("month-slider", "value")],
[Input("input", "test_text")],
)
def update_test(date_range):
return ([date_range], [int(date_range[:2]), int(date_range[3:5])])
@app.callback(
[
Output("activity-pick-a-point", "children"),
Output("elevation-graph", "figure"),
Output("lat-lon-graph", "figure"),
Output("date_text", "children"),
Output("type_text", "children"),
Output("distance_text", "children"),
Output("calories_text", "children"),
Output("time_text", "children"),
Output("avg_hr_text", "children"),
Output("max_hr_text", "children"),
Output("avg_pace_text", "children"),
Output("elev_gain_text", "children"),
],
[Input("activity-scatter", "selectedData")],
)
def display_selected_data(selectedData):
data_date = selectedData["points"][0]["x"]
df2 = pd.read_csv("./data_rename_csv/" + str(data_date) + ".csv")
elev_traces = []
elev_traces.append(
dict(
x=df2["time"],
y=df2["alt"],
colorscale="YIOrRd",
text=df2["alt"],
mode="lines",
opacity=0.7,
marker={"size": 15, "line": {"width": 0.5, "color": "white"}},
name=i,
)
)
lat_lon_traces = []
lat_lon_traces.append(
dict(
x=df2["lat"],
y=df2["lon"],
colorscale="YIOrRd",
text=df2["lat"],
mode="lines",
opacity=0.7,
marker={"size": 15, "line": {"width": 0.5, "color": "white"}},
name=i,
)
)
return (
html.Div(
children=[
html.H6(
"you've selected data from {}".format(
selectedData["points"][0]["x"]
)
)
]
),
{
"data": elev_traces,
"layout": dict(
xaxis={"title": "time"},
yaxis={"title": "elevation (m)"},
margin={"l": 40, "b": 40, "t": 10, "r": 10},
legend={"x": 0, "y": 1},
hovermode="closest",
transition={"duration": 500},
# clickmode="event+select",
),
},
{
"data": lat_lon_traces,
"layout": dict(
xaxis={"title": "latitude"},
yaxis={"title": "longitude"},
margin={"l": 40, "b": 40, "t": 10, "r": 10},
legend={"x": 0, "y": 1},
hovermode="closest",
transition={"duration": 500},
# clickmode="event+select",
),
},
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Date"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Activity_Type"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Distance"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Calories"],
html.P(
[
"%.1f"
% np.float(
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Time"]
)
],
style={"display": "inline"},
),
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Avg_HR"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Max_HR"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Avg_Pace"],
df_overviewdata.loc[df_overviewdata["Date"] == data_date]["Elev_Gain"],
)
@app.callback(
[
Output("activity-scatter", "figure"),
Output(component_id="no-act-text", component_property="children"),
Output(component_id="month-to-month", component_property="children"),
Output("distance-text", "children"),
Output("time-text", "children"),
],
[
Input("month-slider", "value"),
Input("activity-checklist", "value"),
Input("yaxis-radio", "value"),
],
)
def update_figure(value, activity_name, yaxis):
counter = 0
count_sum = 0
distance_sum = 0
time_sum = 0
month_str = num_to_month(value)
filtered_df2 = df2[
(pd.to_numeric(df2["Date"].str[5:7]) < value[1] + 1)
& (pd.to_numeric(df2["Date"].str[5:7]) > value[0] - 1)
]
traces = []
for i in activity_name: # filtered_df2.Activity_Type.unique()
df2_by_activity = filtered_df2[filtered_df2["Activity_Type"] == i]
traces.append(
dict(
x=df2_by_activity["Date"],
y=df2_by_activity[yaxis],
text=df2_by_activity["Activity_Type"],
mode="markers",
opacity=0.7,
marker={"size": 15, "line": {"width": 0.5, "color": "white"}},
name=i,
)
)
count_sum = count_sum + np.sum(df2_by_activity[yaxis])
distance_sum = distance_sum + np.sum(df2_by_activity["Distance"])
time_sum = time_sum + np.sum(df2_by_activity["Time"])
counter = counter + len(df2_by_activity["Date"])
return (
{
"data": traces,
"layout": dict(
xaxis={"title": "Date of Activity"},
yaxis={"title": yaxis},
margin={"l": 40, "b": 40, "t": 10, "r": 10},
legend={"x": 0, "y": 1},
hovermode="closest",
transition={"duration": 500},
clickmode="event+select",
),
},
# "number of activities : " + str(counter),
html.P([str(counter)]),
html.P(month_str[0] + " to " + month_str[1]),
# "total " + yaxis + ": \n" + str(count_sum),
# "total " + yaxis + ": \n" + str(distance_sum),
html.P(["%.0f" % distance_sum]),
html.P(["%.0f" % time_sum]),
)
if __name__ == "__main__":
app.run_server(debug=False)
# app.run_server(debug=False, port=6970)