import salabim as sim
from vidigi.logging import EventLogger
from vidigi.utils import EventPosition, create_event_position_df
from vidigi.animation import animate_activity_logA Simple Salabim Model
Using a Salabim model with vidigi follows the same process as a SimPy model. To demonstrate how it is set-up, we will use an example model from the Salabim documentation. Salabim is licensed under MIT.
It is a model of a bank with three clerks. Customers arrival following a uniform distribution, wait in a first in first out (FIFO) queue, and then are served by a clerk which has a fixed time of 30.
Imports
The required imports for this page:
Original Salabim model
This is the original model, with code adapted from the Salabim documentation.
# Adapted from: https://www.salabim.org/manual/Modelling.html#a-bank-example
# Licence: MIT
# Licence copyright holder: salabim contributors
# Bank, 3 clerks.py
class CustomerGenerator(sim.Component):
"""Generates customers at random time intervals."""
def process(self):
"""Create customers and wait before generating the next one."""
while True:
Customer()
self.hold(sim.Uniform(3, 12).sample())
class Customer(sim.Component):
"""A customer that joins the waiting line and is served by a clerk."""
def process(self):
"""Join queue, wake idle clerk if available, then wait for service."""
self.enter(waitingline)
for clerk in clerks:
if clerk.ispassive():
clerk.activate()
break # activate at most one clerk
self.passivate()
class Clerk(sim.Component):
"""A clerk that serves waiting customers."""
def __init__(self, *args, **kwargs):
"""Initialise clerk with no current customers."""
super().__init__(*args, **kwargs)
self.customer = None
def process(self):
"""Continuously take customers from the queue and serve them."""
while True:
while len(waitingline) == 0:
self.passivate()
self.customer = waitingline.pop()
self.hold(30)
self.customer.activate()
env = sim.Environment(trace=False)
CustomerGenerator()
clerks = [Clerk() for _ in range(3)]
waitingline = sim.Queue("waitingline")
env.run(till=500)Modified Salabim model to generate event log
To create a vidigi animation, we need to use EventLogger from vidigi.logger to record when customers arrive, queue, are served and depart.
When we log resource use, we need to provide an id for the resource, so we also add clerk_id to the Clerk class, and set these to 1, 2, 3 when we create our instances of Clerk.
After running the simulation, we generate the event log dataframe by calling logger.to_dataframe().
class CustomerGenerator(sim.Component):
"""Generates customers at random time intervals."""
def process(self):
"""Create customers and wait before generating the next one."""
while True:
Customer()
self.hold(sim.Uniform(3, 12).sample())
class Customer(sim.Component):
"""A customer that joins the waiting line and is served by a clerk."""
def process(self):
"""Join queue, wake idle clerk if available, then wait for service."""
logger.log_arrival(entity_id=self.name())
self.enter(waitingline)
logger.log_queue(entity_id=self.name(), event="wait_for_clerk")
for clerk in clerks:
if clerk.ispassive():
clerk.activate()
break
self.passivate()
logger.log_departure(entity_id=self.name())
class Clerk(sim.Component):
"""A clerk that serves waiting customers."""
def __init__(self, clerk_id, *args, **kwargs):
"""Initialise clerk with no current customers."""
super().__init__(*args, **kwargs)
self.customer = None
self.clerk_id = clerk_id
def process(self):
"""Continuously take customers from the queue and serve them."""
while True:
while len(waitingline) == 0:
self.passivate()
self.customer = waitingline.pop()
logger.log_resource_use_start(
entity_id=self.customer.name(),
resource_id=self.clerk_id,
event="service_begins"
)
self.hold(30)
self.customer.activate()
logger.log_resource_use_end(
entity_id=self.customer.name(),
resource_id=self.clerk_id,
event="service_ends"
)
env = sim.Environment(trace=False)
logger = EventLogger(env=env)
CustomerGenerator()
clerks = [Clerk(clerk_id=i + 1) for i in range(3)]
waitingline = sim.Queue("waitingline")
env.run(till=500)
event_log_df = logger.to_dataframe()
print(event_log_df) entity_id event_type event time resource_id
0 customer.0 arrival_departure arrival 0.000000 NaN
1 customer.0 queue wait_for_clerk 0.000000 NaN
2 customer.0 resource_use service_begins 0.000000 1.0
3 customer.1 arrival_departure arrival 11.668289 NaN
4 customer.1 queue wait_for_clerk 11.668289 NaN
.. ... ... ... ... ...
276 customer.47 resource_use_end service_ends 496.789885 3.0
277 customer.50 resource_use service_begins 496.789885 3.0
278 customer.47 arrival_departure depart 496.789885 NaN
279 customer.66 arrival_departure arrival 499.713687 NaN
280 customer.66 queue wait_for_clerk 499.713687 NaN
[281 rows x 5 columns]Creating the animation
Now, we simply generate the animation from our event log.
The animate_activity_log() function requires a class with the number of clerks, so we create Scenario with n_clerks=3.
class Scenario:
"""Configuration for the animation."""
n_clerks = 3
event_position_df = create_event_position_df([
EventPosition(event="arrival", x=25, y=200, label="Arrival"),
EventPosition(event="wait_for_clerk", x=160, y=130, label="Waiting Line"),
EventPosition(event="service_begins", x=280, y=130, label="Being Served",
resource="n_clerks"),
EventPosition(event="depart", x=325, y=50, label="Exit"),
])
fig = animate_activity_log(
event_log=event_log_df,
event_position_df=event_position_df,
scenario=Scenario(),
every_x_time_units=5,
plotly_height=800,
plotly_width=900,
override_x_max=350,
override_y_max=275,
resource_icon_size=50,
gap_between_resources=20,
wrap_queues_at=12,
gap_between_queue_rows=10,
display_stage_labels=False,
add_background_image=(
"https://raw.githubusercontent.com/amyheather/vidigi/refs/heads/main/"
"examples/salabim_bank/bank_background.drawio.png"
),
background_image_opacity=1
)
fig.show()/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
/workspace/vidigi/prep.py:281: FutureWarning:
DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.