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marintosti12 commited on
Commit
d0a05b4
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1 Parent(s): 5b51a2a

fix(notebook) : fix notebook

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Files changed (1) hide show
  1. notebook/1_Analyse.ipynb +39 -36
notebook/1_Analyse.ipynb CHANGED
@@ -16,7 +16,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 38,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -39,7 +39,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 39,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -49,7 +49,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 40,
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  "metadata": {},
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  "outputs": [
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  {
@@ -82,7 +82,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 41,
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  "metadata": {},
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  "outputs": [
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  {
@@ -118,7 +118,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 42,
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  "metadata": {},
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  "outputs": [
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  {
@@ -161,7 +161,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 43,
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  "metadata": {},
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  "outputs": [
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  {
@@ -218,12 +218,15 @@
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  "df_eval['id_employee'] = df_eval['eval_number'].str.extract(r'E_(\\d+)').astype(int)\n",
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  "df1 = pd.merge(df_sirh, df_sondage, left_on='id_employee', right_on='code_sondage')\n",
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  "df = pd.merge(df1, df_eval, on='id_employee')\n",
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- "df.info()"
 
 
 
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  ]
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 44,
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  "metadata": {},
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  "outputs": [
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  {
@@ -243,7 +246,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 45,
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  "metadata": {},
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  "outputs": [
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  {
@@ -264,7 +267,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 46,
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  "metadata": {},
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  "outputs": [
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  {
@@ -389,7 +392,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 47,
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  "metadata": {},
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  "outputs": [],
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  "source": [
@@ -419,7 +422,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 48,
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  "metadata": {},
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  "outputs": [
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  {
@@ -454,7 +457,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 49,
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  "metadata": {},
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  "outputs": [
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  {
@@ -484,7 +487,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 50,
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  "metadata": {},
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  "outputs": [
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  {
@@ -519,7 +522,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 51,
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  "metadata": {},
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  "outputs": [
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  {
@@ -540,7 +543,7 @@
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  "Name: count, dtype: int64"
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  ]
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  },
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- "execution_count": 51,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -568,7 +571,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 52,
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  "metadata": {},
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  "outputs": [
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  {
@@ -603,7 +606,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 53,
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  "metadata": {},
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  "outputs": [
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  {
@@ -640,7 +643,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 54,
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  "metadata": {},
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  "outputs": [
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  {
@@ -675,7 +678,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 55,
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  "metadata": {},
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  "outputs": [
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  {
@@ -724,7 +727,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 56,
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  "metadata": {},
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  "outputs": [
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  {
@@ -759,7 +762,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 57,
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  "metadata": {},
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  "outputs": [
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  {
@@ -808,7 +811,7 @@
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  },
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  "cell_type": "code",
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- "execution_count": 58,
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  "metadata": {},
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  "outputs": [
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  {
@@ -844,7 +847,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 59,
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  "metadata": {},
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  "outputs": [
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  {
@@ -886,7 +889,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 60,
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  "metadata": {},
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  "outputs": [
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  {
@@ -935,7 +938,7 @@
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  },
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  "cell_type": "code",
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- "execution_count": 61,
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  "metadata": {},
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  "outputs": [
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@@ -981,7 +984,7 @@
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  },
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- "execution_count": 62,
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  "outputs": [
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  {
@@ -1031,7 +1034,7 @@
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- "execution_count": 63,
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  "outputs": [
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  {
@@ -1066,7 +1069,7 @@
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  "cell_type": "code",
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- "execution_count": 64,
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  "outputs": [
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  {
@@ -1110,7 +1113,7 @@
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  },
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  {
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- "execution_count": 65,
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  "outputs": [
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  {
@@ -1156,7 +1159,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 66,
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  "outputs": [
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@@ -1192,7 +1195,7 @@
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- "execution_count": 67,
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  "outputs": [
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  {
@@ -1229,7 +1232,7 @@
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  },
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  {
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  "metadata": {},
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  "outputs": [
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@@ -1271,7 +1274,7 @@
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- "execution_count": 69,
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  "outputs": [
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@@ -1310,7 +1313,7 @@
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- "execution_count": 70,
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  "outputs": [
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  {
@@ -1319,7 +1322,7 @@
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  "['df.joblib']"
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  ]
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  },
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- "execution_count": 70,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
 
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+ "execution_count": 7,
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  "metadata": {},
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  "outputs": [],
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  "source": [
 
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+ "execution_count": 12,
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  "outputs": [
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  {
 
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  "df_eval['id_employee'] = df_eval['eval_number'].str.extract(r'E_(\\d+)').astype(int)\n",
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  "df1 = pd.merge(df_sirh, df_sondage, left_on='id_employee', right_on='code_sondage')\n",
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  "df = pd.merge(df1, df_eval, on='id_employee')\n",
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+ "df.info()\n",
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+ "\n",
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+ "\n",
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+ "df.to_csv(\"../artifacts/df_merged.csv\", index=False, sep=\";\", decimal=\",\")"
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  ]
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  },
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+ "execution_count": 13,
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  }
 
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  }