def setup_trajectory_source(filename, args):
if args.domain == 'terrestrial':
from tracktable.domain.terrestrial import TrajectoryReader
else:
from tracktable.domain.cartesian2d import TrajectoryReader
infile = open(filename, 'rb')
return TrajectoryReader(infile)
def read_trajectories_from_string(text):
input = version_appropriate_string_buffer(text)
reader = TrajectoryReader(input)
points = list(reader)
return points
def read_trajectories_from_string(text):
input = StringIO(text)
reader = TrajectoryReader(input)
points = list(reader)
return points
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Purpose: Demonstrate how to create and use a Trajectory Reader
# If you have a file of already formed trajectories, you can use the Trajectory
# Reader to read them from file. Like the point reader, you can iterate over the
# trajectories you have and access the properties of the points in each trajectory.
from tracktable.domain.terrestrial import TrajectoryReader
# The trajectory reader is set up in a similar way as a point reader. In the
# example below, we give it a file containing trajectories and we use the default
# which is the terrestrial point reader. Terrestrial is typically used on real data.
# In order to access the trajectories, iterate over the reader.
inFile = open("data/SampleTrajectories.traj")
reader = TrajectoryReader()
reader.input = inFile
i = 1
for x in reader: #Each object in the reader is an iterator pointer here
print(*x)
print("\n")
i -= 1
if i <= 0:
break
# Note that by iterating over the reader, you get a collection of points together as
# trajectories. Just like the point reader, you can edit the delimiting character and
# comment character as well as the column properties.