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mmamaev / timeboard

Calendar calculations over business days and work shifts
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Visualizing the time board #6

Open Tcali opened 5 years ago

Tcali commented 5 years ago

Hello, thank you for sharing this. This is great. Was wondering if there is a way to visualize a timeboard like how you do have in the article on free code camp. If so, could you please share how we would visualize the schedule/time board of one of the generic calenders? Thank you timeboard

mmamaev commented 5 years ago

The pictures in the article were not generated by a code but drawn manually. Meaning, I don't have a tool for vizualization of timeboards. This is an interesting feature request. Hopefully, in some way it can be done with matplotlib but so far I haven't had time to think about it properly.

elpaisik commented 4 years ago

You could use plotly Gantt charts for interactive visualization:

import timeboard as tb
import pandas as pd
import plotly.figure_factory as ff

clnd = tb.Timeboard(base_unit_freq='8H',
                     start='01 Oct 2017 02:00', end='05 Oct 2017 01:59',
                     layout=['A', 'B', 'C', 'D'])

ivl = clnd(('2017-10-02', '2017-10-04')) # interval

task = [ws.label for ws in ivl.workshifts()]
start = [ws.start_time for ws in ivl.workshifts()]
finish = [ws.end_time for ws in ivl.workshifts()]
df = pd.DataFrame(list(zip(task, start, finish)), 
               columns =['Task', 'Start', 'Finish'])

fig = ff.create_gantt(df, 
                      group_tasks=True,
                      index_col='Task',
                      showgrid_x = True, 
                      showgrid_y = True,
                      show_colorbar = True)
x_dtick_hours = 4
fig.update_xaxes(tick0 = start[0], 
                 dtick = x_dtick_hours * 60 * 60 * 1000, # hours to milliseconds
                 )
fig.show()

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