#!/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


# Now let's look at the tonne miles of the New Wisdom vessel over 2018.

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

# In[ ]:


new_wisdom = [g.id for g in v.Vessels().search("NEW WISDOM").to_list()]


# In[ ]:


df = v.TonMilesBreakdown().search(
    unit='b',
    breakdown_frequency='month',
    filter_vessels=new_wisdom,
    filter_time_min=datetime(2018, 1, 1),
    filter_time_max=datetime(2018, 12, 31)
).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