From 42950898b51949d0983cb57a0c9912f1d8e3ebe3 Mon Sep 17 00:00:00 2001 From: wptharindu <74440485+wptharindu@users.noreply.github.com> Date: Mon, 18 Mar 2024 17:30:35 +1100 Subject: [PATCH] Fixed - "None" in BF RR was converted to NaN in pandas --- inputs/en/demo_national_input.xlsx | Bin 139063 -> 138937 bytes nutrition/data.py | 10 +++++++++- nutrition/programs.py | 4 ++-- tests/scen_results_test.xlsx | Bin 71363 -> 71334 bytes tests/test.prj | Bin 445166 -> 322446 bytes tests/testdemo.py | 6 +++--- 6 files changed, 14 insertions(+), 6 deletions(-) diff --git a/inputs/en/demo_national_input.xlsx b/inputs/en/demo_national_input.xlsx index a9abea9b862d5dfa103d21df9bfc6769edf6e2a2..b821a090a23990997f24ad222f757d7320c98f1c 100644 GIT binary patch delta 20001 zcmY&;1yo$i(ltSX1$TFMcXxMpcXypYAh^2+x53?mI|TROG7#J?`6u_iZ@v4kHQj4w zR@bSjUAuRk={aq^a2-8x^*~qzsLM21G6V>SH<6T9STcZN>wKU&X^5!Uf^m!Lg?9Fg zb{?%!n|G?wjxO({HDFK_}fPN;gq);)SLW0ww&u{6F_B1;*{Z{yT5ukfOP{T-NF{ z5jEO-v$g=q;>^1 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b/nutrition/data.py @@ -318,7 +318,7 @@ def get_risk_dist(self): # self.calcscache.write_row('Nutritional status distribution', 14, 2, anaem[:]) # for age, prev in anaem.items(): # Should work with commented out code above - for age, prev in anaem.iteritems(): + for age, prev in anaem.items(): self.risk_dist[_("Anaemia")][age] = dict() self.risk_dist[_("Anaemia")][age][_("Anaemic")] = prev self.risk_dist[_("Anaemia")][age][_("Not anaemic")] = 1.0 - prev @@ -625,6 +625,8 @@ def make_dict2(self, mydict): for condCat in mydict[age].keys(): cond = condCat[0] cat = condCat[1] + if type(cat) == float: + cat = "None" if res_dict[age].get(cat) is None: res_dict[age][cat] = dict() # CK TEST res_dict[age][cat][cond] = mydict[age][condCat] @@ -639,6 +641,8 @@ def make_dict3(self, mydict): res_dict[age] = sc.odict() for condCat in mydict[age].keys(): cat = condCat[1] + if type(cat) == float: + cat = "None" if res_dict[age].get(cat) is None: res_dict[age][cat] = mydict[age][condCat] return res_dict @@ -1237,6 +1241,8 @@ def make_dict2(self, mydict): for condCat in mydict[age].keys(): cond = condCat[0] cat = condCat[1] + if type(cat) == float: + cat = "None" if res_dict[age].get(cat) is None: res_dict[age][cat] = dict() # CK TEST res_dict[age][cat][cond] = mydict[age][condCat] @@ -1251,6 +1257,8 @@ def make_dict3(self, mydict): res_dict[age] = sc.odict() for condCat in mydict[age].keys(): cat = condCat[1] + if type(cat) == float: + cat = "None" if res_dict[age].get(cat) is None: res_dict[age][cat] = mydict[age][condCat] return res_dict diff --git a/nutrition/programs.py b/nutrition/programs.py index d99d371f6..5fd43d9f5 100644 --- a/nutrition/programs.py +++ b/nutrition/programs.py @@ -297,8 +297,8 @@ def _wasting_prev_update(self, age_group): # If SAM treatment is extended to MAM, then the coverage refers to SAM children, who are only a fraction of MAM children newcov = min(1, self.annual_unrestr_cov[self.year] * age_group.frac_wasted(_('SAM')) / age_group.frac_wasted(_('MAM'))) newProb = get_new_prob(newcov, probWastedIfCovered, probWastedIfNotCovered) - print(self.year, age_group.age, newcov, probWastedIfCovered, newProb, oldProb, - sc.safedivide(oldProb - newProb, oldProb, default=0.0), probWastedIfCovered - probWastedIfNotCovered) + # print(self.year, age_group.age, newcov, probWastedIfCovered, newProb, oldProb, + # sc.safedivide(oldProb - newProb, oldProb, default=0.0), probWastedIfCovered - probWastedIfNotCovered) else: newcov = self.annual_unrestr_cov[self.year] newProb = get_new_prob(newcov, probWastedIfCovered, probWastedIfNotCovered) diff --git a/tests/scen_results_test.xlsx b/tests/scen_results_test.xlsx index 46940bf47b11e1d143c97a1e07250687f0224e48..6426b3d7e1141fa53588b91de4adc0eade3e79c9 100644 GIT binary patch literal 71334 zcmZ^L1z1#F*S1J0tu&G%Al+Re-AD-19nv8kQbU7CjI^|rfFR8fBju1ocQ;7KkpIEw z@q6Cq``-V$yl0=Y&pzwyb+3D`z2*R_DI%i~+`D)00RZuP##kXFdPw)~eMY@^4}T9k5i<36!5}+Ku2<% zPZT{Qz_AwTRj@D0?V=1qtyNnpM_8 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