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acg_02c_agefunctions.py
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acg_02c_agefunctions.py
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import pandas as pd
import numpy as np
def add_randage(df, seed, varname):
random_generator = np.random.RandomState(seed)
output_df = df.copy()
# Add random age value
# Check if minage years == maxage years
minage_equals_maxage = (output_df['minageyrs'] == output_df['maxageyrs'])
minage_notmissing = (output_df['minageyrs'].notnull())
conditions = minage_equals_maxage & minage_notmissing
output_df.loc[conditions, varname] = output_df['minageyrs']
# If min age is less than max age then use random number generator
minage_less_maxage = (output_df['minageyrs'] < output_df['maxageyrs'])
conditions = minage_less_maxage & minage_notmissing
output_df.loc[conditions, varname] = output_df[conditions].apply(lambda x: \
random_generator.randint(x['minageyrs'],x['maxageyrs']), axis=1)
return output_df
def add_P12age_groups(input_df,varname):
"""
Add age groups for PC12
"""
output_df = input_df.copy()
agegroupP12_dict = {1: {'minageyrs': 0, 'maxageyrs': 4},
2: {'minageyrs': 5, 'maxageyrs': 9},
3: {'minageyrs': 10, 'maxageyrs': 14},
4: {'minageyrs': 15, 'maxageyrs': 17},
5: {'minageyrs': 18, 'maxageyrs': 19},
6: {'minageyrs': 20, 'maxageyrs': 20},
7: {'minageyrs': 21, 'maxageyrs': 21},
8: {'minageyrs': 22, 'maxageyrs': 24},
9: {'minageyrs': 25, 'maxageyrs': 29},
10: {'minageyrs': 30, 'maxageyrs': 34},
11: {'minageyrs': 35, 'maxageyrs': 39},
12: {'minageyrs': 40, 'maxageyrs': 44},
13: {'minageyrs': 45, 'maxageyrs': 49},
14: {'minageyrs': 50, 'maxageyrs': 54},
15: {'minageyrs': 55, 'maxageyrs': 59},
16: {'minageyrs': 60, 'maxageyrs': 61},
17: {'minageyrs': 62, 'maxageyrs': 64},
18: {'minageyrs': 65, 'maxageyrs': 66},
19: {'minageyrs': 67, 'maxageyrs': 69},
20: {'minageyrs': 70, 'maxageyrs': 74},
21: {'minageyrs': 75, 'maxageyrs': 79},
22: {'minageyrs': 80, 'maxageyrs': 84},
22: {'minageyrs': 85, 'maxageyrs': 110}}
for agegroup in agegroupP12_dict:
randincome_greater_than = \
(output_df[varname] >= agegroupP12_dict[agegroup]['minageyrs'])
randincome_less_than = \
(output_df[varname] <= agegroupP12_dict[agegroup]['maxageyrs'])
conditions = randincome_greater_than & randincome_less_than
output_df.loc[conditions,'agegroupP12'] = agegroup
# Add 0 agegroup - for no age data
randage_missing = (output_df[varname].isnull())
conditions = randage_missing
output_df.loc[conditions,'agegroupP12'] = 0
return output_df
def add_H17age_groups(input_df,varname):
"""
Add age groups for H17
"""
output_df = input_df.copy()
agegroupH17_dict = {1:{'minageyrs': 15, 'maxageyrs': 24},
2: {'minageyrs': 25, 'maxageyrs': 34},
3: {'minageyrs': 35, 'maxageyrs': 44},
4: {'minageyrs': 45, 'maxageyrs': 54},
5: {'minageyrs': 55, 'maxageyrs': 59},
6: {'minageyrs': 60, 'maxageyrs': 64},
7: {'minageyrs': 65, 'maxageyrs': 74},
8: {'minageyrs': 75, 'maxageyrs': 84},
9: {'minageyrs': 85, 'maxageyrs': 110}}
for agegroup in agegroupH17_dict:
randvar_greater_than = \
(output_df[varname] >= agegroupH17_dict[agegroup]['minageyrs'])
randvar_less_than = \
(output_df[varname] <= agegroupH17_dict[agegroup]['maxageyrs'])
conditions = randvar_greater_than & randvar_less_than
output_df.loc[conditions,'agegroupH17'] = agegroup
# Add 0 agegroup - for no age data
randage_missing = (output_df[varname].isnull())
conditions = randage_missing
output_df.loc[conditions,'agegroupH17'] = 0
return output_df
def add_H18age_groups(input_df,varname):
"""
Add age groups for H18
"""
output_df = input_df.copy()
agegroupH18_dict = {1: {'minageH18': 15, 'maxageH18': 34},
2: {'minageH18': 35, 'maxageH18': 64},
3: {'minageH18': 65, 'maxageH18': 110}}
for agegroup in agegroupH18_dict:
randvar_greater_than = \
(output_df[varname] >= agegroupH18_dict[agegroup]['minageH18'])
randvar_less_than = \
(output_df[varname] <= agegroupH18_dict[agegroup]['maxageH18'])
conditions = randvar_greater_than & randvar_less_than
output_df.loc[conditions,'agegroupH18'] = agegroup
# Add 0 agegroup - for no age data
randage_missing = (output_df[varname].isnull())
conditions = randage_missing
output_df.loc[conditions,'agegroupH18'] = 0
return output_df
def add_B19037age_groups(input_df,varname):
"""
Add age groups for B19037
"""
output_df = input_df.copy()
agegroupB19037_dict = {1: {'minageyrs': 15, 'maxageyrs': 25},
2: {'minageyrs': 25, 'maxageyrs': 44},
3: {'minageyrs': 45, 'maxageyrs': 64},
4: {'minageyrs': 65, 'maxageyrs': 110}}
for agegroup in agegroupB19037_dict:
randvar_greater_than = \
(output_df[varname] >= agegroupB19037_dict[agegroup]['minageyrs'])
randvar_less_than = \
(output_df[varname] <= agegroupB19037_dict[agegroup]['maxageyrs'])
conditions = randvar_greater_than & randvar_less_than
output_df.loc[conditions,'agegroupB19037'] = agegroup
# Add 0 agegroup - for no age data
randage_missing = (output_df[varname].isnull())
conditions = randage_missing
output_df.loc[conditions,'agegroupB19037'] = 0
return output_df
def add_P43age_groups(input_df,varname):
"""
Add age groups for P43
"""
output_df = input_df.copy()
agegroupP43_dict = {1: {'minageyrs': 0, 'maxageyrs': 17},
2: {'minageyrs': 18, 'maxageyrs': 64},
3: {'minageyrs': 65, 'maxageyrs': 110}}
for agegroup in agegroupP43_dict:
randvar_greater_than = \
(output_df[varname] >= agegroupP43_dict[agegroup]['minageyrs'])
randvar_less_than = \
(output_df[varname] <= agegroupP43_dict[agegroup]['maxageyrs'])
conditions = randvar_greater_than & randvar_less_than
output_df.loc[conditions,'agegroupP43'] = agegroup
# Add 0 agegroup - for no age data
randage_missing = (output_df[varname].isnull())
conditions = randage_missing
output_df.loc[conditions,'agegroupP43'] = 0
return output_df