Creative Layouts - Single Hospital Ward Example

Warning

This example has not yet been updated to reflect all of the new features and recommendations from vidigi 2.0.0, which have further simplified the process of adding vidigi to your model and accessing and modifying your animation.

For now, all of the code below will still work, but check out the getting started page for a full guide to the recommended way to use vidigi 2.0.0.

import pandas as pd
import plotly.io as pio
from ex_8_model_classes import Trial, g

from vidigi.animation import animate_activity_log

pio.renderers.default = "notebook"

clinic_simulation = Trial()

clinic_simulation.trial_results

	entity_id	event_type	event	time	run_number	resource_id
0	1	arrival_departure	arrival	0.000000	1	NaN
1	1	queue	bed_wait_begins	0.000000	1	NaN
2	1	resource_use	stay_begins	0.000000	1	1.0
3	2	arrival_departure	arrival	2.337500	1	NaN
4	2	queue	bed_wait_begins	2.337500	1	NaN
...	...	...	...	...	...	...
2272	453	resource_use_end	stay_complete	8719.027185	100	2.0
2273	453	arrival_departure	depart	8719.027185	100	NaN
2274	457	arrival_departure	arrival	8719.147321	100	NaN
2275	457	queue	bed_wait_begins	8719.147321	100	NaN
2276	457	resource_use	stay_begins	8719.147321	100	1.0

242708 rows × 6 columns

event_position_df = pd.DataFrame(
    [
        {"event": "arrival", "x": 50, "y": 800, "label": "Arrival"},
        # Triage - minor and trauma
        {"event": "bed_wait_begins", "x": 205, "y": 700, "label": "Waiting for Bed"},
        {
            "event": "stay_begins",
            "x": 205,
            "y": 175,
            "resource": "number_of_beds",
            "label": "In Ward",
        },
        {"event": "depart", "x": 270, "y": 70, "label": "Exit"},
    ]
)

animate_activity_log(
    event_log=clinic_simulation.trial_results[
        clinic_simulation.trial_results["run_number"] == 1
    ],
    event_position_df=event_position_df,
    scenario=g(),
    # Key animation prep parameters
    every_x_time_units=6,
    simulation_time_unit="hours",
    limit_duration=g.sim_duration,
    step_snapshot_max=125,
    # Animation display parameters
    time_display_units="dhm",
    include_play_button=True,
    setup_mode=True,
    debug_mode=True,
    frame_duration=200,
    # Text parameters
    display_stage_labels=True,
    text_size=20,
    # Entity and queue size and spacing
    entity_icon_size=20,
    wrap_queues_at=25,
    gap_between_entities=6,
    gap_between_queue_rows=30,
    # Resource size and spacing
    gap_between_resources=150,
    gap_between_resource_rows=100,
    resource_icon_size=40,
    wrap_resources_at=2,
    custom_resource_icon="🛏️",
    # Plot size
    plotly_height=600,
    plotly_width=1000,
    # Internal plot coordinates
    override_x_max=300,
    override_y_max=900,
)

Animation function called at 13:56:40
Iteration through time-unit-by-time-unit logs complete 13:56:52
Snapshot df concatenation complete at 13:56:52
Reshaped animation dataframe finished construction at 13:56:52
Placement dataframe started construction at 13:56:52
Placement dataframe finished construction at 13:56:52
Output animation generation complete at 13:56:58
Total Time Elapsed: 18.23 seconds