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Thad Kerosky
Published
kglab.js (alpha) examples
Edited
Jan 3, 2022
Fork of ex3_0 Interactive graph visualization with pyvis
1
kglab.js (alpha) examples
kglab in ObservableHQ
ex0_0 Data Sources
ex1_0 Building a graph in RDF using rdflibex1_1 Leveraging the kglab abstraction layerex2_0 Build a medium size KG from a CSV datasetex3_0 Interactive graph visualization with pyvisex4_0 Running SPARQL queriesex5_0 SHACL validation with pySHACLex6_0 Graph algorithms with networkxex6_1 Discover community structure using igraph and leidenalg (*ref only)ex7_0 Measurement and inferenceex7_1 Statistical Relational Learning with pslpython (*ref only)ex8_0 Vector embedding with gensim (*ref only)live-edit visual of SPARQL query structure
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kgzip.filenames.filter((a) => a.indexOf("kglab-main/dat") !== -1)
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df = py`
from os.path import dirname
import os
import io

buffer = io.StringIO(${await kgzip.file("kglab-main/dat/recipes.csv").text()})
df = ${pd}.read_csv(buffer)
df
`
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table(df.to_dict("records").toJs().map(Object.fromEntries))
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recipe_row = py`
df = ${df}
recipe_row = df[df["name"] == "anytime crepes"].iloc[0]
recipe_row`
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py`ingredients = eval(${recipe_row}["ingredients"])
ingredients`
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pd = py`
import pandas as pd#${packagesPy}
pd`
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kglab = py`

# make completely sure pyvis got included
import micropip
micropip.install("https://thadk.net/pyodide_packages/pyodide_18_1/pyvis-0.1.9-py2.py3-none-any.whl")

import kglab
# ${otherKglabDependencies} ${kglabDependency} ${micropipDependenciesPy}
kglab
`
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py`dir(${kglab})`
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py`repr(${kglab})`
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import { py, pyodide, downloadPyoFile } from "@thadk/pyodide-18"
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