Plotting activity times¶

In this example, we show how activity and trip times can be plotted.

In [1]:

import os

import pandas as pd

from pam import read
from pam.plot.stats import plot_activity_times, plot_leg_times

import os import pandas as pd from pam import read from pam.plot.stats import plot_activity_times, plot_leg_times

In [2]:

data_path = os.path.join("data", "example_data")
trips = pd.read_csv(os.path.join(data_path, "example_travel_diaries.csv"))
attributes = pd.read_csv(os.path.join(data_path, "example_attributes.csv"))
attributes = attributes.set_index("pid")

data_path = os.path.join("data", "example_data") trips = pd.read_csv(os.path.join(data_path, "example_travel_diaries.csv")) attributes = pd.read_csv(os.path.join(data_path, "example_attributes.csv")) attributes = attributes.set_index("pid")

In [3]:

population = read.load_travel_diary(trips, attributes)

population = read.load_travel_diary(trips, attributes)

Using tour based purpose parser (recommended)
Adding pid->hh mapping to persons_attributes from trips.
Adding home locations to persons attributes using trips attributes.
Using freq of 'None' for all persons.

In [4]:

population.random_household().plot()

population.random_household().plot()

In [5]:

fig1 = plot_activity_times(population)

fig1 = plot_activity_times(population)

In [6]:

fig2 = plot_leg_times(population)

fig2 = plot_leg_times(population)

In [ ]: