#!/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


# Time series for the number of vessels available between the next 30 to 35 days, at port Singapore, over the last year.

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

# In[ ]:


df = v.VesselAvailabilityTimeseries().search(
    filter_port='1b79e18416d358d7e07b978abcab3f17e2ca75085a6d70ce1811cf4eaeaea886',
    filter_days_to_arrival={"min": 30,"max": 35},
    filter_time_min=datetime(2021,1,19,11,51),
    filter_time_max=datetime(2021,1,19,23,59)
).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