Quickstart¶

Before using Quest you must first activate the quest environment. You can then start a IPython console and import quest:

conda activate quest
(quest) $ ipython

In [1]: import quest

The simplest way to download some data is to use the quest.api.get_data() call.

In [2]: data = quest.api.get_data(
   ...:     collection_name='quick-start',
   ...:     service_uri='svc://usgs-nwis:iv',
   ...:     search_filters={'bbox': [-91, 32.25, -90.8, 32.4]},
   ...:     download_options={'parameter': 'streamflow'},
   ...: )[0]

In [3]: data.head()
Out[3]:
                    qualifiers  streamflow
datetime
2018-04-03 16:00:00          P   1180000.0
2018-04-03 17:00:00          P   1180000.0
2018-04-03 18:00:00          P   1180000.0
2018-04-03 19:00:00          P   1180000.0
2018-04-03 20:00:00          P   1180000.0

Quest can download many different types of data from various data providers. In this example we’ve downloaded timeseries streamflow data from the USGS National Water Information System (NWIS). This type of data is returned as a pandas.DataFrame (see Pandas Documentation).

For other examples of how Quest can be used refer to our Jupyter Notebooks or review the examples listed below.

Quickstart¶

Examples¶