Get available vessel types, vessel classes, vessels¶

Run this example in Colab¶

Get your personal Signal Ocean API subscription key (acquired here) and replace it below:

In [15]:

signal_ocean_api_key = '' # replace with your subscription key

signal_ocean_api_key = '' # replace with your subscription key

Setup¶

In [4]:

%%capture
!pip install signal-ocean
from signal_ocean import Connection
from signal_ocean.voyages import VoyagesAPI
from signal_ocean.voyages import Vessel, VesselFilter
from signal_ocean.voyages import VesselType, VesselTypeFilter
from signal_ocean.voyages import VesselClass, VesselClassFilter
import pandas as pd

%%capture !pip install signal-ocean from signal_ocean import Connection from signal_ocean.voyages import VoyagesAPI from signal_ocean.voyages import Vessel, VesselFilter from signal_ocean.voyages import VesselType, VesselTypeFilter from signal_ocean.voyages import VesselClass, VesselClassFilter import pandas as pd

In [6]:

connection = Connection(signal_ocean_api_key)
api = VoyagesAPI(connection)

connection = Connection(signal_ocean_api_key) api = VoyagesAPI(connection)

Vessel Filter Functions¶

In [2]:

def get_vessel_types(name_like = None):
    
    if name_like:
        vessel_types = api.get_vessel_types(VesselTypeFilter(name_like))
    else:
        vessel_types = api.get_vessel_types()
    return pd.DataFrame(v.__dict__ for v in vessel_types) 

def get_vessel_classes(name_like = None):
    
    if name_like:
        vessel_classes = api.get_vessel_classes(VesselClassFilter(name_like))
    else:
        vessel_classes = api.get_vessel_classes()
    return pd.DataFrame(v.__dict__ for v in vessel_classes) 

def get_vessels(name_like = None):
    
    if name_like:
        vessels = api.get_imos(VesselFilter(name_like))
    else:
        vessels = api.get_imos()
    return pd.DataFrame(v.__dict__ for v in vessels)

def get_vessel_types(name_like = None): if name_like: vessel_types = api.get_vessel_types(VesselTypeFilter(name_like)) else: vessel_types = api.get_vessel_types() return pd.DataFrame(v.__dict__ for v in vessel_types) def get_vessel_classes(name_like = None): if name_like: vessel_classes = api.get_vessel_classes(VesselClassFilter(name_like)) else: vessel_classes = api.get_vessel_classes() return pd.DataFrame(v.__dict__ for v in vessel_classes) def get_vessels(name_like = None): if name_like: vessels = api.get_imos(VesselFilter(name_like)) else: vessels = api.get_imos() return pd.DataFrame(v.__dict__ for v in vessels)

Results¶

VesselTypes¶

Get all avalable vessel types¶

In [3]:

get_vessel_types()

get_vessel_types()

Out[3]:

	vessel_type_id	vessel_type
0	1	Tanker
1	3	Dry
2	5	LNG
3	6	LPG

Get avalable vessel types using VesselTypeFilter¶

In [4]:

get_vessel_types('Tank')

get_vessel_types('Tank')

Out[4]:

	vessel_type_id	vessel_type
0	1	Tanker

VesselClasses¶

Get all avalable vessel classes¶

In [5]:

get_vessel_classes()

get_vessel_classes()

Out[5]:

	vessel_class_id	vessel_class_name	vessel_type_id	vessel_type
0	60	VLGC	6	LPG
1	61	Midsize/LGC	6	LPG
2	62	Handy	6	LPG
3	63	Small	6	LPG
4	69	VLOC	3	Dry
5	70	Capesize	3	Dry
6	72	Post Panamax	3	Dry
7	74	Panamax	3	Dry
8	75	Supramax	3	Dry
9	76	Handymax	3	Dry
10	77	Handysize	3	Dry
11	84	VLCC	1	Tanker
12	85	Suezmax	1	Tanker
13	86	Aframax	1	Tanker
14	87	Panamax	1	Tanker
15	88	MR2	1	Tanker
16	89	MR1	1	Tanker
17	90	Small	1	Tanker
18	91	LNG	5	LNG
19	92	Small	3	Dry

Get avalable vessel classes using VesselClassFilter¶

In [6]:

get_vessel_classes('max')

get_vessel_classes('max')

Out[6]:

	vessel_class_id	vessel_class_name	vessel_type_id	vessel_type
0	72	Post Panamax	3	Dry
1	74	Panamax	3	Dry
2	75	Supramax	3	Dry
3	76	Handymax	3	Dry
4	85	Suezmax	1	Tanker
5	86	Aframax	1	Tanker
6	87	Panamax	1	Tanker

In [7]:

get_vessel_classes('Afra')

get_vessel_classes('Afra')

Out[7]:

	vessel_class_id	vessel_class_name	vessel_type_id	vessel_type
0	86	Aframax	1	Tanker

Vessels¶

Get all avalable vessels¶

In [8]:

get_vessels()

get_vessels()

Out[8]:

	imo	vessel_name
0	1013391	Hyundai Vietnam S560
1	1013638	Imabari Saijo 8256
2	1013781	Eems Boxer
3	1013793	Eems Bulldog
4	1013808	Eems Balder
...	...	...
49820	9999802	Tsuneishi Zhoushan Ss-364
49821	9999814	Tsuneishi Zhoushan Ss-375
49822	9999826	Tsuneishi Zhoushan Ss-376
49823	9999981	Yard: Hyundai Samho Hull: 8206
49824	9999993	French Warship

49825 rows × 2 columns

Get avalable vessels using VesselFilter¶

In [10]:

get_vessels('First')

get_vessels('First')

Out[10]:

	imo	vessel_name
0	7601451	Firstec
1	8204406	First Clarity
2	8307404	Firstsea
3	8608353	Medelin First
4	8711007	PSU First
5	9071727	First Kasih
6	9115690	Guofeng First
7	9124108	First Ai
8	9151242	Firstec
9	9197129	First Bridge
10	9266140	First Brother
11	9330056	Star First
12	9357901	First Angel
13	9473119	Harbour First
14	9520728	Shagangfirst Star
15	9567752	First Lion
16	9713909	Glory First
17	9767405	PSU First
18	9772864	RGL First
19	9782247	First Sky
20	9856139	BLC First
21	9864083	First Angelus
22	9871775	First Phoenix
23	9908243	New First
24	9911422	First Dyquem
25	9920667	First Eternity
26	9922691	First Penguin
27	9933250	First Margaux
28	9956159	Apollo First
29	9974084	First Falcon
30	9982665	Emc First