Flow Immersive python client for datasets API
Project description
# 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.
```python
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.
```python
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',
)
```
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