Try out the VortexaSDK

First let's import our requirements

In [ ]:
from datetime import datetime
import vortexasdk as v

Average daily WS rate for the TD3C route between 1st and 15th November 2021.

You'll need to enter your Vortexa API key when prompted.

In [ ]:
df = v.FreightPricingTimeseries().search(
    routes=["TD3C"],
    time_min=datetime(2021, 11, 1),
    time_max=datetime(2021, 11, 15),
    breakdown_frequency="day",
    breakdown_property="rate"
).to_df()
In [ ]:
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