First let's import our requirements
from datetime import datetime
import vortexasdk as v
Now let's load a dataframe of a vessel count between 1st of January 2024 - 29th of Febuary 2024 with a month frequency.
You'll need to enter your Vortexa API key when prompted.
df = v.VoyagesTimeseriesV2(
metric="voyage-count",
breakdown_property="status"
).search(
time_min=datetime(2024, 1, 1),
time_max=datetime(2024, 2, 29, 23, 59),
breakdown_frequency="month",
exclude_overlapping_entries=False
).to_df()
df.head()
That's it! You've successfully loaded data using the Vortexa SDK. Check out https://vortechsa.github.io/python-sdk/ for more examples