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import numpy as np
import pandas as pd



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issues1=pd.read_json("https://api.github.com/repos/neutronimaging/imagingsuite/issues?state=closed&page=1&since=\"2019-06-01T10:00:00Z\"&per_page=400")
issues2=pd.read_json("https://api.github.com/repos/neutronimaging/imagingsuite/issues?state=closed&page=2&since=\"2019-06-01T10:00:00Z\"&per_page=400")
issues3=pd.read_json("https://api.github.com/repos/neutronimaging/imagingsuite/issues?state=closed&page=3&since=\"2019-06-01T10:00:00Z\"&per_page=400")
frames = [issues1, issues2, issues3]

issues = pd.concat(frames)



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issues.count()



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closedissues=issues[(issues['state']=="closed") & (issues['pull_request'].isnull())]
closedissues[['number','title','closed_at']]

Print list for github markdown



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for index,issue in closedissues.iterrows() :
    print('- Issue',issue['number'], '- [',issue['title'],'](', issue['html_url'],')')



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i2=pd.read_json("https://api.github.com/repos/neutronimaging/imagingsuite/issues?state=closed&page=1&since=\"2019-05-28T10:00:00Z\"&per_page=400")



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for index,issue in i2.iterrows() :
    print('- Issue',issue['number'], '- [',issue['title'],'](', issue['html_url'],')')



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