Use measurements in Python or MATLAB
Choose a protocol or file export that fits your analysis workflow.
Sensor Dashboard documentation. Labels and options depend on the installed software version.
Start with a supported data path
The original guide covers OPC UA clients, GraphQL queries and importing exported CSV or spreadsheet data. CSV is useful for offline analysis; API clients can request data directly from the gateway.
Choose an import method
The original guide names these data paths and import functions. Match the file format and client dependency to your own analysis environment; the table does not prescribe a package version. Data Explorer CSV export is documented from Sensor Dashboard 1.2.8.
| Data source | Python | MATLAB |
|---|---|---|
| CSV export | Standard csv module | readmatrix |
| Excel spreadsheet | pandas: read_excel | readtable |
| OPC UA endpoint | opcua-asyncio client | OPC UA toolbox support |
| GraphQL endpoint | gql client | No MATLAB client is specified by the original guide |
Adapt the original programming examples
The iQunet public examples repository includes device discovery, GraphQL history queries, acquisition mutations and OPC UA raw or processed vibration reads. Check each example’s device type, client dependencies and installed schema before adapting it. The historical dependency-install commands in the article are not a current installation recommendation.