#!/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


# Ton days demand of vessels from the Middle East over the last 7 days.

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

# In[ ]:


df = v.FleetUtilisationQuantityTimeseries().search(
    filter_time_min=datetime(2021, 1, 11),
    filter_time_max=datetime(2021, 1, 18),
    filter_vessel_status="vessel_status_laden_known",
    filter_origins="80aa9e4f3014c3d96559c8e642157edbb2b684ea0144ed76cd20b3af75110877",
    timeseries_property="quantity",
    timeseries_frequency="day",
    timeseries_unit="t"
).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