ctrlist = '380,250,52,850'
ctrlist = ''
result = ''
thisyear = 2010
ctrlimit = 10
modern = moderncodes(config['modernnames'], config['apiroot'])
dataframe = load_api_data(jsonapi, '')
if dataframe:
allcodes = {}
panel = []
for dataitem in dataframe:
handle = dataitem['handle']
(dataset, codes) = paneldatafilter(dataitem['data'], int(yearmin),
int(yearmax), ctrlist, handle)
if not dataset.empty:
panel.append(dataset)
if panel:
totalpanel = pd.concat(panel)
cleanedpanel = totalpanel.dropna(axis=1, how='any')
cleanedpanel = totalpanel
(header, data, countries, handles, vhandles) = panel2dict(cleanedpanel)
print data
result = panel2csv(header, data, thisyear, countries, handles,
vhandles, ctrlimit, modern)
print result
def panel():
(thisyear, datafilter, handle, yearmin, yearmax, thisyear, ctrlist,
lastyear, logscale) = (0, {}, '', '1500', '2020', 1950, '', 2010, '')
handles = []
config = configuration()
datafilter['startyear'] = yearmin
datafilter['endyear'] = lastyear
datafilter['ctrlist'] = config['ctrlist']
#modern = moderncodes(config['modernnames'], config['apiroot'])
if request.args.get('handle'):
handle = str(request.args.get('handle'))
handle = handle.replace(" ", "")
handle = handle.replace("'", "")
try:
(pids, pidslist) = pidfrompanel(handle)
handles = pids
except:
nopanel = 'yes'
handles.append(handle)
if request.args.get('face'):
facehandle = request.args.get('face')
if facehandle not in handles:
handles.append(facehandle)
if request.args.get('dataset'):
dataset = request.args.get('dataset')
if request.args.get('ctrlist'):
customcountrycodes = ''
ctrlist = request.args.get('ctrlist')
datafilter['ctrlist'] = ctrlist
if request.args.get('logscale'):
logscale = request.args.get('logscale')
if request.args.get('year'):
thisyear = request.args.get('year')
datafilter['startyear'] = int(thisyear)
datafilter['endyear'] = int(thisyear)
if request.args.get('yearmin'):
fromyear = request.args.get('yearmin')
datafilter['startyear'] = fromyear
if request.args.get('yearmax'):
toyear = request.args.get('yearmax')
datafilter['endyear'] = toyear
if request.args.get('hist'):
switch = 'historical'
if datafilter['ctrlist'] == '':
datafilter['ctrlist'] = config['histctrlist']
else:
switch = 'modern'
(geocoder, geolist, oecd2webmapper, modern,
historical) = request_geocoder(config, '')
(origdata, maindata, metadata) = request_datasets(config, switch, modern,
historical, handles,
geolist)
(subsets, subsetyears, panel) = ({}, [], [])
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
datasubset['handle'] = handle
if not datasubset.empty:
datasubset = datasubset.dropna(how='all')
try:
if np.nan in datasubset.index:
datasubset = datasubset.drop(np.nan, axis=0)
except:
skip = 'yes'
for year in datasubset:
if datasubset[year].count() == 0:
datasubset = datasubset.drop(year, axis=1)
(datayears, notyears) = selectint(datasubset.columns)
panel.append(datasubset)
subsets[handle] = datasubset
subsetyears.append(datayears)
dataframe = subsets
ctrlimit = 10
# Trying to find the best year with most filled data values
try:
bestyearlist = subsetyears[0]
for i in range(1, len(subsetyears)):
bestyearlist = list(set(bestyearlist) & set(subsetyears[i]))
#bestyearlist = bestyearlist.sort()
thisyear = bestyearlist[0]
except:
bestyearlist = []
allcodes = {}
panel = []
names = {}
for handle in dataframe:
try:
names[handle] = metadata[handle]['title']
except:
names[handle] = 'title'
try:
#(dataset, codes) = paneldatafilter(dataframe[handle], int(yearmin), int(yearmax), ctrlist, handle)
dataset = dataframe[handle]
if not dataset.empty:
panel.append(dataset)
except:
nodata = 0
if panel:
totalpanel = pd.concat(panel)
cleanedpanel = totalpanel.dropna(axis=1, how='any')
cleanedpanel = totalpanel
#return str(cleanedpanel.to_html())
totalpanel = cleanedpanel
if int(thisyear) <= 0:
thisyear = totalpanel.columns[-2]
result = ''
original = {}
if thisyear:
if switch == 'historical':
geocoder = historical
if switch == 'hist':
geocoder = historical
else:
geocoder = modern
result = 'Country,'
for handle in handles:
result = result + str(metadata[handle]['title']) + ','
result = result[:-1]
known = {}
for code in totalpanel.index:
if str(code) not in known:
result = result + '\n' + str(
geocoder.ix[int(code)][config['webmappercountry']])
for handle in handles:
tmpframe = totalpanel.loc[totalpanel['handle'] == handle]
try:
(thisval,
original) = value2scale(tmpframe.ix[code][thisyear],
logscale, original)
except:
thisval = 'NaN'
result = result + ',' + str(thisval)
known[str(code)] = code
return Response(result, mimetype='text/plain')
(allyears, notyears) = selectint(cleanedpanel.columns)
(codes, notcodes) = selectint(cleanedpanel.index)
cleanedpanel.index = codes
(header, data, countries, handles,
vhandles) = panel2dict(config, cleanedpanel, names)
#return str(data)
#thisyear = 1882
#return str(countries)
#return str(countries)
years = []
for year in sorted(data):
try:
years.append(int(year))
lastyear = year
except:
skip = 1
# Return only years
if request.args.get('showyears'):
yearsdata = {}
yearsdata['years'] = years
yearsdata['latestyear'] = lastyear
#yearsdata['data'] = data
yearsjson = json.dumps(yearsdata,
ensure_ascii=False,
sort_keys=True,
indent=4)
return Response(yearsjson, mimetype='application/json')
return Response(result, mimetype='text/plain')
def panel():
(thisyear, datafilter, handle, yearmin, yearmax, thisyear, ctrlist, lastyear, logscale) = (0, {}, '', '1500', '2020', 1950, '', 2010, '')
handles = []
config = configuration()
datafilter['startyear'] = yearmin
datafilter['endyear'] = lastyear
datafilter['ctrlist'] = config['ctrlist']
#modern = moderncodes(config['modernnames'], config['apiroot'])
if request.args.get('handle'):
handle = str(request.args.get('handle'))
handle = handle.replace(" ", "")
handle = handle.replace("'", "")
try:
(pids, pidslist) = pidfrompanel(handle)
handles = pids
except:
nopanel = 'yes'
handles.append(handle)
if request.args.get('face'):
facehandle = request.args.get('face')
if facehandle not in handles:
handles.append(facehandle)
if request.args.get('dataset'):
dataset = request.args.get('dataset')
if request.args.get('ctrlist'):
customcountrycodes = ''
ctrlist = request.args.get('ctrlist')
datafilter['ctrlist'] = ctrlist
if request.args.get('logscale'):
logscale = request.args.get('logscale')
if request.args.get('year'):
thisyear = request.args.get('year')
datafilter['startyear'] = int(thisyear)
datafilter['endyear'] = int(thisyear)
if request.args.get('yearmin'):
fromyear = request.args.get('yearmin')
datafilter['startyear'] = fromyear
if request.args.get('yearmax'):
toyear = request.args.get('yearmax')
datafilter['endyear'] = toyear
if request.args.get('hist'):
switch = 'historical'
if datafilter['ctrlist'] == '':
datafilter['ctrlist'] = config['histctrlist']
else:
switch = 'modern'
(geocoder, geolist, oecd2webmapper, modern, historical) = request_geocoder(config, '')
(origdata, maindata, metadata) = request_datasets(config, switch, modern, historical, handles, geolist)
(subsets, subsetyears, panel) = ({}, [], [])
for handle in handles:
(datasubset, ctrlist) = datasetfilter(maindata[handle], datafilter)
datasubset['handle'] = handle
if not datasubset.empty:
datasubset = datasubset.dropna(how='all')
try:
if np.nan in datasubset.index:
datasubset = datasubset.drop(np.nan, axis=0)
except:
skip = 'yes'
for year in datasubset:
if datasubset[year].count() == 0:
datasubset = datasubset.drop(year, axis=1)
(datayears, notyears) = selectint(datasubset.columns)
panel.append(datasubset)
subsets[handle] = datasubset
subsetyears.append(datayears)
dataframe = subsets
ctrlimit = 10
# Trying to find the best year with most filled data values
try:
bestyearlist = subsetyears[0]
for i in range(1,len(subsetyears)):
bestyearlist = list(set(bestyearlist) & set(subsetyears[i]))
#bestyearlist = bestyearlist.sort()
thisyear = bestyearlist[0]
except:
bestyearlist = []
allcodes = {}
panel = []
names = {}
for handle in dataframe:
try:
names[handle] = metadata[handle]['title']
except:
names[handle] = 'title'
try:
#(dataset, codes) = paneldatafilter(dataframe[handle], int(yearmin), int(yearmax), ctrlist, handle)
dataset = dataframe[handle]
if not dataset.empty:
panel.append(dataset)
except:
nodata = 0
if panel:
totalpanel = pd.concat(panel)
cleanedpanel = totalpanel.dropna(axis=1, how='any')
cleanedpanel = totalpanel
#return str(cleanedpanel.to_html())
totalpanel = cleanedpanel
if int(thisyear) <= 0:
thisyear = totalpanel.columns[-2]
result = ''
original = {}
if thisyear:
if switch == 'historical':
geocoder = historical
if switch == 'hist':
geocoder = historical
else:
geocoder = modern
result = 'Country,'
for handle in handles:
result = result + str(metadata[handle]['title']) + ','
result = result[:-1]
known = {}
for code in totalpanel.index:
if str(code) not in known:
result = result + '\n' + str(geocoder.ix[int(code)][config['webmappercountry']])
for handle in handles:
tmpframe = totalpanel.loc[totalpanel['handle'] == handle]
try:
(thisval, original) = value2scale(tmpframe.ix[code][thisyear], logscale, original)
except:
thisval = 'NaN'
result = result + ',' + str(thisval)
known[str(code)] = code
return Response(result, mimetype='text/plain')
(allyears, notyears) = selectint(cleanedpanel.columns)
(codes, notcodes) = selectint(cleanedpanel.index)
cleanedpanel.index = codes
(header, data, countries, handles, vhandles) = panel2dict(config, cleanedpanel, names)
#return str(data)
#thisyear = 1882
#return str(countries)
#return str(countries)
years = []
for year in sorted(data):
try:
years.append(int(year))
lastyear = year
except:
skip = 1
# Return only years
if request.args.get('showyears'):
yearsdata = {}
yearsdata['years'] = years
yearsdata['latestyear'] = lastyear
#yearsdata['data'] = data
yearsjson = json.dumps(yearsdata, ensure_ascii=False, sort_keys=True, indent=4)
return Response(yearsjson, mimetype='application/json')
return Response(result, mimetype='text/plain')
yearmax = '2015'
x = ''
ctrlist = '380,250,52,850'
ctrlist = ''
result = ''
thisyear = 2010
ctrlimit = 10
modern = moderncodes(config['modernnames'], config['apiroot'])
dataframe = load_api_data(jsonapi, '')
if dataframe:
allcodes = {}
panel = []
for dataitem in dataframe:
handle = dataitem['handle']
(dataset, codes) = paneldatafilter(dataitem['data'], int(yearmin), int(yearmax), ctrlist, handle)
if not dataset.empty:
panel.append(dataset)
if panel:
totalpanel = pd.concat(panel)
cleanedpanel = totalpanel.dropna(axis=1, how='any')
cleanedpanel = totalpanel
(header, data, countries, handles, vhandles) = panel2dict(cleanedpanel)
print data
result = panel2csv(header, data, thisyear, countries, handles, vhandles, ctrlimit, modern)
print result