def get_reference_data(self):
# super(LayeSite, self).get_reference_data(reference_type)
reference_bins = OrderedDict([('Age Bin', self.metadata['age_bins']),
('PfPR Bin',
self.metadata['parasitemia_bins'])])
reference_data = season_channel_age_density_json_to_pandas(
self.reference_dict, reference_bins).reset_index()
reference_data = reference_data.rename(columns={'Season': 'Date'})
reference_data['Date'] = reference_data['Date'].apply(
lambda x: list(self.metadata['seasons_by_month'].keys())[
self.metadata['seasons_by_month'].values().index(x)])
reference_data['Date'] = reference_data['Date'].apply(
lambda x: (list(calendar.month_name).index(x) - 1) * 30 + 15)
reference_data = reference_data.sort(
['Channel', 'Date', 'Age Bin', 'PfPR Bin'])
counts_tot_list = list(
reference_data.groupby(['Channel', 'Date',
'Age Bin'])['Counts'].apply(np.sum))
counts_tot = [[a] * len(self.metadata['parasitemia_bins'])
for a in counts_tot_list]
reference_data['Counts_tot'] = [
item for sublist in counts_tot for item in sublist
]
reference_data['Counts'] = reference_data.groupby(
['Channel', 'Date',
'Age Bin'])['Counts'].apply(lambda x: x / float(x.sum()))
return reference_data, self.metadata
def get_reference_data(self, reference_type):
super(DapelogoCalibSite, self).get_reference_data(reference_type)
reference_bins = OrderedDict([('Age Bin', self.metadata['age_bins']),
('PfPR Bin',
self.metadata['parasitemia_bins'])])
reference_data = season_channel_age_density_json_to_pandas(
self.reference_dict, reference_bins)
return reference_data