send-to-squey 1.0.0

Send columnar data structures from your code to a Squey cloud instance and visualize them.

Connect and send a dataset

from squeylab import send_to_squey
import pandas as pd

squey = send_to_squey.connect(
    endpoint="3.222.243.61.aws.squeylab.com",
    auth=("squey", "p@$$w0rd!")
)

df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})

squey.import_data(df, dataset_name="my_dataset")

Note

import_data data parameter can be any object compatible with pyarrow.record_batch data parameter, or a path toward a parquet file.

Start the instance

from squeylab import send_to_squey

send_to_squey.start_instance(instance_id="i-0eb3fbba537abfa95")

Note

Only supporting AWS for the moment. Needs a properly configured credential file.