pyPackages[0]['download_count']
getDataLibraries = async (apiLink)=>{
const rawData = await d3.json(apiLink)
rawData.
console.log(rawData)
const tempDict = {};
const dataArry =['name','dependent_repos_count','dependents_count','description','forks','keywords','stars','rank','repository_url','versions']
for (let key of dataArry){
console.log(rawData[key])
tempDict[key] = rawData[key]
}
return tempDict
}
getDataLibraries('https://libraries.io/api/Pypi/boto3?api_key=598f29e15e3a1e7ac5df0b0b43b67711')
allData = {
const libraryData =[];
pyPackages.forEach(d =>{
const libraryDetail
for index,project in enumerate(libraries:2):
makeUrl = f'https://libraries.io/api/Pypi/{project"project"}?api_key=598f29e15e3a1e7ac5df0b0b43b67711'
print(f'url : {makeUrl}')
tempData = requests.get(makeUrl).json()
tempDict = {};
dataArry = ['name','dependent_repos_count','dependents_count','description','forks','keywords','stars','rank','repository_url','versions']
for key in dataArry:
tempDict[key] = tempData.get(key)
print(tempDict)
with open('myDataRev01.json','a') as outFile:
json.dump(tempDict,outFile)
print(f'the Index is {index} and project is {project}')
time.sleep(2)
keyWordNoChek = {
const keys = [];
mydatarev04.forEach(d => {
const obj = Object.assign(d.keywords) //There are around 128 repos with keywords as null
keys.push(obj)
})
return keys
}
rolledupData = d3.rollup(mydatarev04, g => d3.sum(g, x => x.dependent_repos_count), d => d.rank, d => d.name)
hierarchizeData.sum(d => d[1])
circlePack = d3.pack()
.size([800,800])
circlePackData= circlePack(hierarchizeData)
scaleColorRank = d3.scaleOrdinal() // Choosing point, since the force directed circles needs a reference point
.domain(d3.range(1,33))
.range(d3.schemeTableau10)
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
