flowgl 0.1.4.post1

Flow Immersive python client for datasets API

Flow Immersive Python Client

An easy way to push data from pandas to Flow.

Usage

Push data to Flow, identifying the dataset with a title. Pushing a new dataset with the same title will create a new dataset version.

import pandas as pd

# Example pandas dataframe
df = pd.DataFrame({
    'name': ['John', 'Jane', 'Joe'],
    'age': [30, 25, 40],
    'city': ['New York', 'San Francisco', 'Los Angeles']
})

from flowgl import Client

# Import the client and create an instance with your credentials
client = Client(
    username=...,
    password=...,
)

# Push the dataframe to Flow by title
client.push_data(
    df,
    dataset_title='My Dataset',
)

If you're working with a dictionary of nodes and edges, you can use the push_nodes_and_edges_dict method, referencing the nodes list and edges list in the provided dictionary by jsonpath.

my_dict = {
    'nested_object': {
        'nodes': [
            {'id': 1, 'name': 'John'},
            {'id': 2, 'name': 'Jane'},
            {'id': 3, 'name': 'Joe'},
        ],
        'edges': [
            {'source': 1, 'target': 2},
            {'source': 2, 'target': 3},
        ]
    }
}

client.push_nodes_and_edges_dict(
    my_dict,
    nodes_jsonpath='$.nested_object.nodes',
    edges_jsonpath='$.nested_object.edges',
    dataset_title='My Dataset',
)