rapids/src/visualization/histogram_valid_sensed_hour...

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2020-07-22 22:47:32 +02:00
import pandas as pd
import plotly.express as px
import plotly.io as pio
# merge "phone_valid_sensed_days" for all participants
selected_participants_and_days = pd.DataFrame()
for path in snakemake.input["phone_valid_sensed_days"]:
phone_valid_sensed_days = pd.read_csv(path)
phone_valid_sensed_days = phone_valid_sensed_days[phone_valid_sensed_days["is_valid_sensed_day"] == True]
selected_participants_and_days = pd.concat([selected_participants_and_days, phone_valid_sensed_days], axis=0)
# plot histogram
fig = px.histogram(selected_participants_and_days, x="valid_sensed_hours")
fig.update_layout(title="Phone Valid Hours Histogram")
pio.write_html(fig, file=snakemake.output[0], auto_open=False, include_plotlyjs="cdn")