#!/usr/bin/env python
# coding: utf-8

# ### Try out the VortexaSDK

# First let's import our requirements

# In[ ]:


from datetime import datetime
import vortexasdk as v


# Average distance traveled per day, by laden vessels between Middle East and China, in nautical miles.

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

# In[ ]:


df = v.FleetUtilisationAvgDistanceTimeseries().search(
    filter_vessel_status="vessel_status_laden_known",
    filter_time_min=datetime(2021, 1, 11),
    filter_time_max=datetime(2021, 1, 18),
    filter_origins="80aa9e4f3014c3d96559c8e642157edbb2b684ea0144ed76cd20b3af75110877",
    filter_destinations="934c47f36c16a58d68ef5e007e62a23f5f036ee3f3d1f5f85a48c572b90ad8b2",
    timeseries_property="quantity",
    timeseries_frequency="day",
    timeseries_unit="nmi"
).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