import jira.client
from jira.client import JIRA
from jira import JIRA
import pandas as pd

options  = {'server':'your server URL here'}
jira = JIRA(options, basic_auth=('your user name here','your password here'))


#extracting number of issues loop because of Jira limitation.
block_size=100
block_num=0
allissues = []
while True:
    start_idx = block_num*block_size
    issues =  jira.search_issues('project=your project here', start_idx, block_size)
    if len(issues) == 0:
        break
    block_num += 1
    for issue in issues:
        allissues.append(issue)
print ('Number of issues:', len(allissues))

#into pandas
issues=pd.DataFrame()
for issue in allissues:
    d = {

        'assignee': issue.fields.assignee,
        'key': issue.key,
        'creator' : issue.fields.creator,
        'reporter': issue.fields.reporter,
        'created' : issue.fields.created,
        'components': issue.fields.components,
        'description': issue.fields.description,
        'summary': issue.fields.summary,
        'fixVersions': issue.fields.fixVersions,
        'subtask': issue.fields.issuetype.subtask,
        'issuetype': issue.fields.issuetype.name,
        'priority': issue.fields.priority.name,
        'resolution': issue.fields.resolution,
        'resolution.date': issue.fields.resolutiondate,
        'status.name': issue.fields.status.name,
        'status.description': issue.fields.status.description,
        'updated': issue.fields.updated,
        'versions': issue.fields.versions,
        'watches': issue.fields.watches.watchCount,

    }
    issues = issues.append(d, ignore_index=True)
    issues.to_csv(r'your csv path here')

print(issues)