Simple example to retrieving some sample cargo movements in a dataframe.
The below script returns something similar to:
| events.cargo_port_unload_event.0.start_timestamp | product.group.label | product.grade.label | quantity | vessels.0.name | |
|---|---|---|---|---|---|
| 0 | 2019-10-08T00:41:00+0000 | Crude | Djeno | 123457 | AROME |
| 1 | 2019-11-08T00:41:52+0000 | Crude | Arab Medium | 99898 | SCOOBYDOO |
| 2 | 2019-09-30T23:49:41+0000 | Crude | Arab Heavy | 9879878 | DAVID |
| 3 | 2019-12-01T01:40:00+0000 | Crude | Usan | 999999 | DUCK |
Simple example to retrieving some sample cargo movements in a dataframe.
The below script returns something similar to:
| | events.cargo_port_unload_event.0.start_timestamp | product.group.label | product.grade.label | quantity | vessels.0.name |
|---:|:---------------------------------------------------|:----------------------|:----------------------|-----------:|:-----------------|
| 0 | 2019-10-08T00:41:00+0000 | Crude | Djeno | 123457 | AROME |
| 1 | 2019-11-08T00:41:52+0000 | Crude | Arab Medium | 99898 | SCOOBYDOO |
| 2 | 2019-09-30T23:49:41+0000 | Crude | Arab Heavy | 9879878 | DAVID |
| 3 | 2019-12-01T01:40:00+0000 | Crude | Usan | 999999 | DUCK |
"""
from datetime import datetime
from vortexasdk import CargoMovements
if __name__ == "__main__":
# Query API to find all vessels that were loading on the 1st of Aug 2019
search_result = CargoMovements().search(
filter_activity="loading_start",
filter_time_min=datetime(2019, 8, 1),
filter_time_max=datetime(2019, 8, 2),
)
print("Cargo movements successfully loaded")
# Convert search result to dataframe
df = search_result.to_df()
print(df.head())