Metadata-Version: 2.1
Name: triplets
Version: 0.0.10
Summary: Simple tools to load/modify/export XML/RDF data using Pandas DataFrames
Home-page: https://github.com/Haigutus/triplets
Author: Kristjan Vilgo
Author-email: kristjan.vilgo@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: lxml
Requires-Dist: aniso8601

# 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
