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

# ### This notebook gives a 30 second introduction to the Vortexa SDK

# First let's import our requirements

# In[ ]:


from datetime import datetime
import vortexasdk as v


# Now let's load a dataframe of cargo movements that loaded at the start of August, 2017.

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

# In[ ]:


df = v.CargoMovements()\
    .search(filter_activity='loading_state',
        filter_time_min=datetime(2017, 8, 1),
        filter_time_max=datetime(2017, 8, 2))\
    .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