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Download/Read Book Petite Suite Medievale Demillac Pdf: 15 Atalaya Farther To The Top Of Mountains PDF.Q:
How to aggregate over the time in a plot (Dash)?
I am trying to plot similar cells of a csv file into each others. The data represent the change over the time (hours) of a given value. Let me illustrate:
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
df = pd.read_csv(‘data/call_activity_timeseries.csv’)
timeseries = df[‘call_hour_id’]
timeline = df.groupby(‘call_hour_id’)[[‘call_hour_id’]].min()
periods = []
for index, row in timeseries.iterrows():
start = row[‘call_hour_id’]
end = row[‘call_hour_id’] + 1
periods.append((start, end))
periods = pd.period_range(start=df[‘call_hour_id’].min(), end=df[‘call_hour_id’].max(), freq=df[‘call_hour_id’].min())
components = [[df[‘call_hour_id’] for df in df.groupby(‘call_hour_id’)] for _ in range(len(periods))]
image(
id=’chart’,
figure={
‘data’: [
dict(
x=df[‘call_hour_id’].tolist(),
y=df[[‘call_hour_id’]].mean(axis=1),
type=’line’,
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