BoC Valet API Wrapper
Project description
pyvalet
Simple, pandas integrated API wrapper for the Bank of Canada Valet API.
Their documentation page can be found here
Installation:
To install this package
Getting Started:
To get started using pyvalet
, simply open up a new python file and type:
from pyvalet import ValetInterpreter
vi = ValetInterpreter()
This will be your interface with all the features of pyvalet.
To see what sort of data is available, try running one of the following commands:
vi.list_series()
vi.list_groups()
These two commands will provide you with a pandas
DataFrame containing all possible series,
or groups to explore using the Valet API. The three fields output are 'name', 'label' and 'link'.
The first time you run these commands, the ValetInterpreter will cache them so there is no need to assign the output, unless you plan to filter these lists.
They can be accessed through:
vi.series_list
vi.groups_list
To get more details about these series or groups, the get_series_detail()
or get_group_detail()
methods are available
df = vi.get_series_detail("FXUSDCAD", response_format='csv')
df_group, df_series = vi.get_group_detail("FX_RATES_DAILY", response_format='csv')
The output of .get_series_detail()
is a pandas
DataFrame containing, among other things,
the name and description of a given series.
The output of .get_group_detail()
is one pandas
Series, and one DataFrame. The Series containing details
about the group itself, and the DataFrame containing the same information about all series in the group.
Diving even deeper, you can pull observations from these series or groups using the get_series_observations()
and get_groups_observations()
methods.
df_series, df = vi.get_series_observations("FXUSDCAD", response_format='csv')
df = vi.get_group_observations("FX_RATES_DAILY", response_format='csv')
Additional keyword arguments can be passed to alter the query. See the docstrings for more information.
Like the methods for group details, the output of get_series_observations()
is one pandas
Series,
and one DataFrame. The Series contains the details for the series queries,
and the DataFrame contains the observations themselves.
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