Unsupported NDEx utilities
Project description
Warning: This repository is for development and features may change. Please use this at your own risk.
Dependencies
Compatibility
Python 3.3+
Installation
git clone https://github.com/ndexbio/ndexutils
cd ndexutils
make dist
pip install dist/ndexutil*whl
OR via PyPI
pip install ndexutil
TSV Loader
This module contains the Tab Separated Variable Loader (TSV Loader) which generates an NDEx CX file from a tab separated text file of edge data and attributes.
To load data a load plan must be created. This plan tells the loader how to map the columns in the file to nodes, and edges. This load plan needs to validate against this load plan JSON schema
Example TSV file
SOURCE TARGET WEIGHT
ABCD AAA1 0.555
GGGG BBBB 0.305
SOURCE is the source node, TARGET is target node
A schema that could be:
{
"source_plan":
{
"node_name_column": "SOURCE"
},
"target_plan":
{
"node_name_column": "TARGET"
},
"edge_plan":
{
"default_predicate": "unknown",
"property_columns": [
{
"column_name": "WEIGHT",
"attribute_name": "weight",
"data_type": "double"
}
]
}
}
Example below assumes the following:
./loadplan.json is the load plan in JSON format
./style.cx is a NDEx CX with a style.
import ndex2
from ndexutil.tsv.streamtsvloader import StreamTSVLoader
# using ndex2 client library read CX file as NiceCXNetwork object
style_network = ndex2.create_nice_cx_from_file('./style.cx')
loader = StreamTSVLoader('./loadplan.json', style_network)
with open('./input.tsv', 'r') as tsvfile:
with open('./output.cx', 'w') as outfile:
loader.write_cx_network(tsvfile, outfile)
Credits
History
0.3.0 2019-05-14
tsv2nicecx2.convert_pandas_to_nice_cx_with_load_plan now loads @context data into a @context network attribute instead of a separate aspect
0.2.0 2019-04-01
StreamTSVLoader class added which enables loading of TSV data into in streaming format to handle loading of large networks
Project details
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