datasets module
Usage
from pycax import datasets
query = datasets.get() # Build the Query
query.execute() # Execute the Query
query.data # Returns the data
# or return a data frame directly
df = datasets.getdf()
df.head()
Methods:
- pycax.datasets.get(args={}, **kwargs)[source]
Get the table of data sets
- Parameters:
args – [dict] a dictionary of query parameters. The default is no parameters which returns the full table.
- Returns:
A Tables Response of the JSON
Usage:
from pycax import tables query = tables.get() res = query.execute() query.to_pandas()
- pycax.datasets.getdf(args={'XApiKey': '7A2F1EA9-4882-49E8-B23D-7DC202C2ACA5'}, **kwargs)[source]
Make query for the data sets and return a pandas DataFrame
- Parameters:
args – [dict] a dictionary of query parameters. The default is no parameters which returns the full table.
- Returns:
A pandas DataFrame
Usage:
from pycax import tables datasets.getdf()