triplets


Nametriplets JSON
Version 0.0.11 PyPI version JSON
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home_pagehttps://github.com/Haigutus/triplets
SummarySimple tools to load/modify/export XML/RDF data using Pandas DataFrames
upload_time2025-07-10 07:25:46
maintainerNone
docs_urlNone
authorKristjan Vilgo
requires_pythonNone
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # RDF parser:

 - Parses CIM RDF/XML data to pandas dataframe with 4 columns [ID, KEY, VALUE, INSTANCE_ID] (triplestore like)
 - The solution does not care about CIM version nor namespaces
 - Input files can be xml or zip files (containing one or mutiple xml files)
 - All files are parsed into one and same Pandas DataFrame, thus if you want single file or single data model, you need to filter on INSTANCE_ID column

## To get started:

```python
import pandas
import triplets

path = "CGMES_v2.4.15_RealGridTestConfiguration_v2.zip"
data = pandas.read_RDF([path])
```

## Result:

![image](https://user-images.githubusercontent.com/11408965/64228384-53350500-ceef-11e9-9a8b-473ed1dc6e4d.png)


You can then query a dataframe of all same type elements and its parameters across all [EQ, SSH, TP, SV etc.] instance files, where parameters are columns and index is object ID-s

```python
data.type_tableview("ACLineSegment")
```

![image](https://user-images.githubusercontent.com/11408965/64228433-7eb7ef80-ceef-11e9-81d4-43e39ecf099d.png)


Look into examples folders for more

            

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