Python
Using the Marple Python SDK
We created an SDK for Python that makes it easier to use our API. Install the
marpledata module: pip install marpledata
First setup the connection using an access token:
from marple import Marple
m = Marple(ACCESS_TOKEN)
m.check_connection()
Calling API endpoints is as easy as:
m.get('/version')
m.post('/sources/info', json={'id': 98})
Uploading data can be done in various ways:
- Upload a file using the SDK
- A pandas dataframe
- Write data in chunks
These three commands will all upload a file
test.csv to the /Examplefolder in your workspace:source_id = m.upload_data_file('.../test.csv', '/example', metadata={'key': 'value'})
source_id = m.upload_data_pandas(dataframe, 'test', '/example')
for row in dataframe.itertuples(index=False):
data_dict = row._asdict()
m.add_data(data_dict)
source_id = m.send_data('test', 'example')
To check the import status:
status = m.check_import_status(source_id)
Last modified 1mo ago