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Commit 603dfd77 authored by Joaquin Torres's avatar Joaquin Torres
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Exported ind vs soc variable names

parent a033a04d
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Showing with 38 additions and 19 deletions
EDA/EDA.ipynb
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......@@ -48,7 +48,7 @@
},
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......@@ -70,20 +70,20 @@
},
{
"cell_type": "code",
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"name": "stderr",
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"text": [
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\2495984927.py:18: SettingWithCopyWarning: \n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\2495984927.py:18: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" conj_post['Group'] = 'Post'\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\2495984927.py:19: SettingWithCopyWarning: \n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\2495984927.py:19: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
......@@ -473,7 +473,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 4,
"metadata": {},
"outputs": [
{
......@@ -496,7 +496,7 @@
},
{
"cell_type": "code",
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"execution_count": 5,
"metadata": {},
"outputs": [
{
......@@ -519,7 +519,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 6,
"metadata": {},
"outputs": [
{
......@@ -536,7 +536,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\1073322024.py:3: FutureWarning: The behavior of Series.replace (and DataFrame.replace) with CategoricalDtype is deprecated. In a future version, replace will only be used for cases that preserve the categories. To change the categories, use ser.cat.rename_categories instead.\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\1073322024.py:3: FutureWarning: The behavior of Series.replace (and DataFrame.replace) with CategoricalDtype is deprecated. In a future version, replace will only be used for cases that preserve the categories. To change the categories, use ser.cat.rename_categories instead.\n",
" bd['Risk_stigma'] = bd['Risk_stigma'].replace(99.0, mode_stigma)\n"
]
}
......@@ -550,7 +550,7 @@
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"metadata": {},
"outputs": [
{
......@@ -609,35 +609,35 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 8,
"metadata": {},
"outputs": [
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"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\3303146707.py:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\3303146707.py:2: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
"\n",
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
"\n",
"\n",
" bd['Age'].fillna(age_mode, inplace=True)\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\3303146707.py:5: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\3303146707.py:5: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
"\n",
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
"\n",
"\n",
" bd['Años_consumo_droga'].fillna(años_consumo_mode, inplace=True)\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\3303146707.py:8: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\3303146707.py:8: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
"\n",
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
"\n",
"\n",
" bd['Risk_stigma'].fillna(risk_stigma_mode, inplace=True)\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_19000\\3303146707.py:11: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"C:\\Users\\Joaquín Torres\\AppData\\Local\\Temp\\ipykernel_11540\\3303146707.py:11: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
"The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
"\n",
"For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
......@@ -945,7 +945,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
......@@ -1022,7 +1022,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
......@@ -1036,7 +1036,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
......@@ -1063,7 +1063,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": 11,
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"outputs": [],
"source": [
......@@ -1098,7 +1098,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
......@@ -1136,6 +1136,25 @@
"corr_cols = soc_vars_enc + ind_vars_enc"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Ed_Not Complete primary school', 'Ed_Primary education', 'Ed_Secondary Education', 'Ed_Secondary more technical education', 'Ed_Tertiary', 'Ed_Unknowledge', 'Social_protection_REDEF', 'JobIn_Non-stable', 'JobIn_Stable', 'JobIn_Unemployed', 'JobIn_unkwnodledge', 'Hous_Institutional', 'Hous_Stable', 'Hous_Unstable', 'Hous_unknowledge', 'Alterations_early_childhood_develop_REDEF', 'SocInc_Live with families or friends', 'SocInc_live alone', 'SocInc_live in institutions', 'Risk_stigma_REDEF', 'Structural_conflic']\n"
]
}
],
"source": [
"# Export column names for future programs\n",
"np.save('./soc_vars_names.npy', soc_vars_enc)\n",
"np.save('./ind_vars_names.npy', soc_vars_enc)"
]
},
{
"cell_type": "markdown",
"metadata": {},
......
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