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Basyrov Rustam
2024-11-24 23:31:01 +03:00
parent 2b95643f3d
commit bb2e6a7c2d
1 changed files with 12 additions and 8 deletions
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Aigrind/Analisys.ipynb
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@@ -778,14 +778,15 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 9, "execution_count": 29,
"id": "e950eeaf", "id": "e950eeaf",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"T_df = pd.DataFrame(T, columns=[\"Media Source\", 'Campaign type', 'Target', \"Time, (months)\"])\n", "T_df = pd.DataFrame(T, columns=[\"Media Source\", 'Campaign type', 'Target', \"Time, (months)\"])\n",
"T_df = T_df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n", "T_df = T_df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n",
"T_df.to_csv('tables/payback-period.csv')" "T_df.to_csv('tables/payback-period.csv')\n",
"T_df.to_markdown('tables/payback-period.md')"
] ]
}, },
{ {
@@ -837,13 +838,14 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 11, "execution_count": 30,
"id": "9dfee9c7", "id": "9dfee9c7",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"T_sorted_df = T_df.sort_values(by='Time, (months)')\n", "T_sorted_df = T_df.sort_values(by='Time, (months)')\n",
"T_sorted_df.to_csv('tables/payback-period.sorted.csv')" "T_sorted_df.to_csv('tables/payback-period.sorted.csv')\n",
"T_sorted_df.to_markdown('tables/payback-period.sorted.md')"
] ]
}, },
{ {
@@ -1197,7 +1199,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 21, "execution_count": 31,
"id": "f2c30d3d", "id": "f2c30d3d",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -1206,7 +1208,8 @@
"# df_ARPU\n", "# df_ARPU\n",
"df_ARPU['days'] = list(map(lambda x: f\"{x} days\" if x > 1 else f\"{x} day\", dates))\n", "df_ARPU['days'] = list(map(lambda x: f\"{x} days\" if x > 1 else f\"{x} day\", dates))\n",
"df_ARPU_melted = df_ARPU.melt('days', var_name='Campaign type', value_name='ARPU')\n", "df_ARPU_melted = df_ARPU.melt('days', var_name='Campaign type', value_name='ARPU')\n",
"df_ARPU.iloc[[6, 13, 29]].to_csv('tables/arpu.csv')" "df_ARPU.iloc[[6, 13, 29]].to_csv('tables/arpu.csv')\n",
"df_ARPU.iloc[[6, 13, 29]].to_markdown('tables/arpu.md')"
] ]
}, },
{ {
@@ -1297,7 +1300,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 25, "execution_count": 32,
"id": "b7a20a84", "id": "b7a20a84",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -1305,7 +1308,8 @@
"df = pd.DataFrame(CPI, columns=[\"Media Source\", 'Campaign type', 'Target', \"CPI\"])\n", "df = pd.DataFrame(CPI, columns=[\"Media Source\", 'Campaign type', 'Target', \"CPI\"])\n",
"df = df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n", "df = df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n",
"df = df.sort_values(by='CPI')\n", "df = df.sort_values(by='CPI')\n",
"df.to_csv('tables/cpi.sorted.csv')" "df.to_csv('tables/cpi.sorted.csv')\n",
"df.to_markdown('tables/cpi.sorted.md')"
] ]
}, },
{ {