{ "cells": [ { "cell_type": "markdown", "id": "41fb9eda-8d3e-43e6-ac29-ed5bb545f0e3", "metadata": {}, "source": [ "# データサイエンス100本ノック 21~30" ] }, { "cell_type": "code", "execution_count": 14, "id": "bfa0c462-fa3a-443e-b011-1094b8e3d629", "metadata": {}, "outputs": [], "source": [ "import polars as pl\n", "from helper.polars import load_100knocks_data\n", "pl.Config.set_fmt_str_lengths(100)\n", "df_customer, df_category, df_product, df_receipt, df_store, df_geocode = load_100knocks_data()" ] }, { "cell_type": "markdown", "id": "8cd96d80-1213-4ca1-8b44-adce30c50d68", "metadata": {}, "source": [ "## P-021\n", "\n", "レシート明細データ（df_receipt）に対し、件数をカウントせよ。" ] }, { "cell_type": "code", "execution_count": 35, "id": "f38ef610-0171-4880-9686-659f395ec9f5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "104681" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_receipt.shape[0]" ] }, { "cell_type": "code", "execution_count": 36, "id": "c28699b4-3554-4f5e-bbf6-a09914617373", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "104681" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(df_receipt)" ] }, { "cell_type": "markdown", "id": "fcf3d91e-7156-4a97-8f77-3a34cdb3da7c", "metadata": {}, "source": [ "## P-022\n", "\n", "レシート明細データ（df_receipt）の顧客ID（customer_id）に対し、ユニーク件数をカウントせよ。" ] }, { "cell_type": "code", "execution_count": 37, "id": "dc524952-78f2-439f-a6cd-af621c8c0e28", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "8307" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".select(pl.col.customer_id.n_unique())\n", ".item()\n", ")" ] }, { "cell_type": "markdown", "id": "7b7e7f55-c6f5-41bb-9c3a-e4b1cc42fc05", "metadata": {}, "source": [ "## P-023\n", "\n", "レシート明細データ（df_receipt）に対し、店舗コード（store_cd）ごとに売上金額（amount）と売上数量（quantity）を合計せよ。" ] }, { "cell_type": "code", "execution_count": 39, "id": "9942b42b-3702-45f1-bee1-5c8c967817ae", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 3)
store_cdamountquantity
stri64i64
"S12007"6387612099
"S12013"7875132425
"S12014"7251672358
"S12029"7947412555
"S12030"6844022403
" ], "text/plain": [ "shape: (5, 3)\n", "┌──────────┬────────┬──────────┐\n", "│ store_cd ┆ amount ┆ quantity │\n", "│ --- ┆ --- ┆ --- │\n", "│ str ┆ i64 ┆ i64 │\n", "╞══════════╪════════╪══════════╡\n", "│ S12007 ┆ 638761 ┆ 2099 │\n", "│ S12013 ┆ 787513 ┆ 2425 │\n", "│ S12014 ┆ 725167 ┆ 2358 │\n", "│ S12029 ┆ 794741 ┆ 2555 │\n", "│ S12030 ┆ 684402 ┆ 2403 │\n", "└──────────┴────────┴──────────┘" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by('store_cd')\n", ".agg(pl.col('amount', 'quantity').sum())\n", ".sort(by='store_cd')\n", ".head()\n", ")" ] }, { "cell_type": "markdown", "id": "c251677d-6642-4027-a6c4-b6b666510307", "metadata": {}, "source": [ "## P-024\n", "\n", "レシート明細データ（df_receipt）に対し、顧客ID（customer_id）ごとに最も新しい売上年月日（sales_ymd）を求め、10件表示せよ。" ] }, { "cell_type": "code", "execution_count": 40, "id": "d6a62bab-6712-4c72-a2bc-5fef42bc958c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 2)
customer_idsales_ymd
stri64
"CS006214000001"20190908
"CS008415000097"20190417
"CS028414000014"20191023
"ZZ000000000000"20191031
"CS025415000050"20191008
" ], "text/plain": [ "shape: (5, 2)\n", "┌────────────────┬───────────┐\n", "│ customer_id ┆ sales_ymd │\n", "│ --- ┆ --- │\n", "│ str ┆ i64 │\n", "╞════════════════╪═══════════╡\n", "│ CS006214000001 ┆ 20190908 │\n", "│ CS008415000097 ┆ 20190417 │\n", "│ CS028414000014 ┆ 20191023 │\n", "│ ZZ000000000000 ┆ 20191031 │\n", "│ CS025415000050 ┆ 20191008 │\n", "└────────────────┴───────────┘" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by(pl.col.customer_id, maintain_order=True)\n", ".agg(pl.col('sales_ymd').max())\n", ".head()\n", ")" ] }, { "cell_type": "code", "execution_count": 41, "id": "932c80f8-9cbd-4e0a-8052-87e070f3b4cc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 9)
customer_idsales_ymdsales_epochstore_cdreceipt_noreceipt_sub_noproduct_cdquantityamount
stri64i64stri64i64stri64i64
"CS006214000001"201909081567900800"S14006"1121"P071302010"1770
"CS008415000097"201904171555459200"S13008"11921"P090405001"1200
"CS028414000014"201910231571788800"S14028"11222"P070301019"1225
"ZZ000000000000"201910311572480000"S13019"1121"P080102015"130
"CS025415000050"201910081570492800"S14025"11822"P080801009"1258
" ], "text/plain": [ "shape: (5, 9)\n", "┌────────────────┬───────────┬─────────────┬──────────┬───┬────────────────┬────────────┬──────────┬────────┐\n", "│ customer_id ┆ sales_ymd ┆ sales_epoch ┆ store_cd ┆ … ┆ receipt_sub_no ┆ product_cd ┆ quantity ┆ amount │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ i64 ┆ i64 ┆ str ┆ ┆ i64 ┆ str ┆ i64 ┆ i64 │\n", "╞════════════════╪═══════════╪═════════════╪══════════╪═══╪════════════════╪════════════╪══════════╪════════╡\n", "│ CS006214000001 ┆ 20190908 ┆ 1567900800 ┆ S14006 ┆ … ┆ 1 ┆ P071302010 ┆ 1 ┆ 770 │\n", "│ CS008415000097 ┆ 20190417 ┆ 1555459200 ┆ S13008 ┆ … ┆ 1 ┆ P090405001 ┆ 1 ┆ 200 │\n", "│ CS028414000014 ┆ 20191023 ┆ 1571788800 ┆ S14028 ┆ … ┆ 2 ┆ P070301019 ┆ 1 ┆ 225 │\n", "│ ZZ000000000000 ┆ 20191031 ┆ 1572480000 ┆ S13019 ┆ … ┆ 1 ┆ P080102015 ┆ 1 ┆ 30 │\n", "│ CS025415000050 ┆ 20191008 ┆ 1570492800 ┆ S14025 ┆ … ┆ 2 ┆ P080801009 ┆ 1 ┆ 258 │\n", "└────────────────┴───────────┴─────────────┴──────────┴───┴────────────────┴────────────┴──────────┴────────┘" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by(pl.col.customer_id, maintain_order=True)\n", ".agg(\n", " pl.all()\n", " .sort_by('sales_ymd', descending=True)\n", " .first()\n", ")\n", ".head()\n", ")" ] }, { "cell_type": "code", "execution_count": 42, "id": "ecdbc6b6-288c-4642-9941-1f979ddff51e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 9)
customer_idsales_ymdsales_epochstore_cdreceipt_noreceipt_sub_noproduct_cdquantityamount
stri64i64stri64i64stri64i64
"CS006214000001"201909081567900800"S14006"1121"P071302010"1770
"CS008415000097"201904171555459200"S13008"11921"P090405001"1200
"CS028414000014"201910231571788800"S14028"11222"P070301019"1225
"ZZ000000000000"201910311572480000"S13019"1121"P080102015"130
"CS025415000050"201910081570492800"S14025"11822"P080801009"1258
" ], "text/plain": [ "shape: (5, 9)\n", "┌────────────────┬───────────┬─────────────┬──────────┬───┬────────────────┬────────────┬──────────┬────────┐\n", "│ customer_id ┆ sales_ymd ┆ sales_epoch ┆ store_cd ┆ … ┆ receipt_sub_no ┆ product_cd ┆ quantity ┆ amount │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ i64 ┆ i64 ┆ str ┆ ┆ i64 ┆ str ┆ i64 ┆ i64 │\n", "╞════════════════╪═══════════╪═════════════╪══════════╪═══╪════════════════╪════════════╪══════════╪════════╡\n", "│ CS006214000001 ┆ 20190908 ┆ 1567900800 ┆ S14006 ┆ … ┆ 1 ┆ P071302010 ┆ 1 ┆ 770 │\n", "│ CS008415000097 ┆ 20190417 ┆ 1555459200 ┆ S13008 ┆ … ┆ 1 ┆ P090405001 ┆ 1 ┆ 200 │\n", "│ CS028414000014 ┆ 20191023 ┆ 1571788800 ┆ S14028 ┆ … ┆ 2 ┆ P070301019 ┆ 1 ┆ 225 │\n", "│ ZZ000000000000 ┆ 20191031 ┆ 1572480000 ┆ S13019 ┆ … ┆ 1 ┆ P080102015 ┆ 1 ┆ 30 │\n", "│ CS025415000050 ┆ 20191008 ┆ 1570492800 ┆ S14025 ┆ … ┆ 2 ┆ P080801009 ┆ 1 ┆ 258 │\n", "└────────────────┴───────────┴─────────────┴──────────┴───┴────────────────┴────────────┴──────────┴────────┘" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by(pl.col.customer_id, maintain_order=True)\n", ".agg(\n", " pl.all()\n", " .get(pl.col.sales_ymd.arg_max())\n", ")\n", ".head()\n", ")" ] }, { "cell_type": "markdown", "id": "eb29cb39-03b6-4e12-beb2-2d704f472769", "metadata": {}, "source": [ "## P-025\n", "\n", "レシート明細データ（df_receipt）に対し、顧客ID（customer_id）ごとに最も古い売上年月日（sales_ymd）を求め、10件表示せよ。" ] }, { "cell_type": "code", "execution_count": 43, "id": "21dfc47d-c5df-4db5-8112-6da055afb244", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 2)
customer_idsales_ymd
stri64
"CS006214000001"20170509
"CS008415000097"20170328
"CS028414000014"20170403
"ZZ000000000000"20170101
"CS025415000050"20170619
" ], "text/plain": [ "shape: (5, 2)\n", "┌────────────────┬───────────┐\n", "│ customer_id ┆ sales_ymd │\n", "│ --- ┆ --- │\n", "│ str ┆ i64 │\n", "╞════════════════╪═══════════╡\n", "│ CS006214000001 ┆ 20170509 │\n", "│ CS008415000097 ┆ 20170328 │\n", "│ CS028414000014 ┆ 20170403 │\n", "│ ZZ000000000000 ┆ 20170101 │\n", "│ CS025415000050 ┆ 20170619 │\n", "└────────────────┴───────────┘" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by(pl.col.customer_id, maintain_order=True)\n", ".agg(pl.col('sales_ymd').min())\n", ".head()\n", ")" ] }, { "cell_type": "markdown", "id": "0568f5c5-3dd1-40b5-9df0-c12631b68e12", "metadata": {}, "source": [ "## P-026\n", "\n", "レシート明細データ（df_receipt）に対し、顧客ID（customer_id）ごとに最も新しい売上年月日（sales_ymd）と古い売上年月日を求め、両者が異なるデータを10件表示せよ。" ] }, { "cell_type": "code", "execution_count": 44, "id": "61abb4d0-e3d9-4925-b2c8-7bfc7d38fd18", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 3)
customer_idsales_ymd_minsales_ymd_max
stri64i64
"CS006214000001"2017050920190908
"CS008415000097"2017032820190417
"CS028414000014"2017040320191023
"ZZ000000000000"2017010120191031
"CS025415000050"2017061920191008
" ], "text/plain": [ "shape: (5, 3)\n", "┌────────────────┬───────────────┬───────────────┐\n", "│ customer_id ┆ sales_ymd_min ┆ sales_ymd_max │\n", "│ --- ┆ --- ┆ --- │\n", "│ str ┆ i64 ┆ i64 │\n", "╞════════════════╪═══════════════╪═══════════════╡\n", "│ CS006214000001 ┆ 20170509 ┆ 20190908 │\n", "│ CS008415000097 ┆ 20170328 ┆ 20190417 │\n", "│ CS028414000014 ┆ 20170403 ┆ 20191023 │\n", "│ ZZ000000000000 ┆ 20170101 ┆ 20191031 │\n", "│ CS025415000050 ┆ 20170619 ┆ 20191008 │\n", "└────────────────┴───────────────┴───────────────┘" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".lazy()\n", ".group_by('customer_id', maintain_order=True)\n", ".agg(\n", " pl.col.sales_ymd.min().alias('sales_ymd_min'),\n", " pl.col.sales_ymd.max().alias('sales_ymd_max'), \n", ")\n", ".filter(\n", " pl.col.sales_ymd_min != pl.col.sales_ymd_max\n", ")\n", ".head(5)\n", ".collect()\n", ")" ] }, { "cell_type": "markdown", "id": "877a00f9-bd76-47b2-ac87-b736105f0369", "metadata": {}, "source": [ "## P-027\n", "\n", "レシート明細データ（df_receipt）に対し、店舗コード（store_cd）ごとに売上金額（amount）の平均を計算し、降順でTOP5を表示せよ。" ] }, { "cell_type": "code", "execution_count": 45, "id": "b1aba2c1-55df-4775-a196-0a8cf8401e2a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 2)
store_cdamount
strf64
"S13052"402.86747
"S13015"351.11196
"S13003"350.915519
"S14010"348.791262
"S13001"348.470386
" ], "text/plain": [ "shape: (5, 2)\n", "┌──────────┬────────────┐\n", "│ store_cd ┆ amount │\n", "│ --- ┆ --- │\n", "│ str ┆ f64 │\n", "╞══════════╪════════════╡\n", "│ S13052 ┆ 402.86747 │\n", "│ S13015 ┆ 351.11196 │\n", "│ S13003 ┆ 350.915519 │\n", "│ S14010 ┆ 348.791262 │\n", "│ S13001 ┆ 348.470386 │\n", "└──────────┴────────────┘" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by('store_cd')\n", ".agg(pl.col.amount.mean())\n", ".sort(by='amount', descending=True)\n", ".head(5)\n", ")" ] }, { "cell_type": "markdown", "id": "b7c66477-1fb7-4327-95bf-cb69865e6339", "metadata": {}, "source": [ "## P-028\n", "\n", "レシート明細データ（df_receipt）に対し、店舗コード（store_cd）ごとに売上金額（amount）の中央値を計算し、降順でTOP5を表示せよ。" ] }, { "cell_type": "code", "execution_count": 46, "id": "6540861d-8ac7-4634-89f1-650e8fb61d1a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 2)
store_cdamount
strf64
"S13052"190.0
"S14010"188.0
"S14050"185.0
"S13018"180.0
"S13003"180.0
" ], "text/plain": [ "shape: (5, 2)\n", "┌──────────┬────────┐\n", "│ store_cd ┆ amount │\n", "│ --- ┆ --- │\n", "│ str ┆ f64 │\n", "╞══════════╪════════╡\n", "│ S13052 ┆ 190.0 │\n", "│ S14010 ┆ 188.0 │\n", "│ S14050 ┆ 185.0 │\n", "│ S13018 ┆ 180.0 │\n", "│ S13003 ┆ 180.0 │\n", "└──────────┴────────┘" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by('store_cd')\n", ".agg(pl.col.amount.median())\n", ".sort(by='amount', descending=True)\n", ".head(5)\n", ")" ] }, { "cell_type": "markdown", "id": "8b665aa8-7406-49b8-a052-5f009f5dba89", "metadata": {}, "source": [ "## P-029\n", "\n", "レシート明細データ（df_receipt）に対し、店舗コード（store_cd）ごとに商品コード（product_cd）の最頻値を求め、10件表示させよ。" ] }, { "cell_type": "code", "execution_count": 47, "id": "a1e32925-4e63-45b3-aa88-255cc3312a98", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (10, 3)
store_cdproduct_cdcount
strlist[str]u32
"S12007"["P060303001"]72
"S12013"["P060303001"]107
"S12014"["P060303001"]65
"S12029"["P060303001"]92
"S12030"["P060303001"]115
"S13001"["P060303001"]67
"S13002"["P060303001"]78
"S13003"["P071401001"]65
"S13004"["P060303001"]88
"S13005"["P040503001"]36
" ], "text/plain": [ "shape: (10, 3)\n", "┌──────────┬────────────────┬───────┐\n", "│ store_cd ┆ product_cd ┆ count │\n", "│ --- ┆ --- ┆ --- │\n", "│ str ┆ list[str] ┆ u32 │\n", "╞══════════╪════════════════╪═══════╡\n", "│ S12007 ┆ [\"P060303001\"] ┆ 72 │\n", "│ S12013 ┆ [\"P060303001\"] ┆ 107 │\n", "│ S12014 ┆ [\"P060303001\"] ┆ 65 │\n", "│ S12029 ┆ [\"P060303001\"] ┆ 92 │\n", "│ S12030 ┆ [\"P060303001\"] ┆ 115 │\n", "│ S13001 ┆ [\"P060303001\"] ┆ 67 │\n", "│ S13002 ┆ [\"P060303001\"] ┆ 78 │\n", "│ S13003 ┆ [\"P071401001\"] ┆ 65 │\n", "│ S13004 ┆ [\"P060303001\"] ┆ 88 │\n", "│ S13005 ┆ [\"P040503001\"] ┆ 36 │\n", "└──────────┴────────────────┴───────┘" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mode = pl.col.product_cd.mode()\n", "(\n", "df_receipt\n", ".group_by('store_cd')\n", ".agg(\n", " mode,\n", " (pl.col.product_cd == mode.first())\n", " .sum()\n", " .alias('count')\n", ")\n", ".sort(by='store_cd')\n", ".head(10)\n", ")" ] }, { "cell_type": "code", "execution_count": 48, "id": "fb41be78-0bd7-443a-8867-d6dc342e9568", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\ruoyu\\AppData\\Local\\Temp\\ipykernel_25276\\4003027574.py:4: DeprecationWarning: `pl.count()` is deprecated. Please use `pl.len()` instead.\n", " .agg(pl.count())\n" ] }, { "data": { "text/html": [ "
\n", "shape: (10, 3)
store_cdproduct_cdcount
strstru32
"S12007""P060303001"72
"S12013""P060303001"107
"S12014""P060303001"65
"S12029""P060303001"92
"S12030""P060303001"115
"S13001""P060303001"67
"S13002""P060303001"78
"S13003""P071401001"65
"S13004""P060303001"88
"S13005""P040503001"36
" ], "text/plain": [ "shape: (10, 3)\n", "┌──────────┬────────────┬───────┐\n", "│ store_cd ┆ product_cd ┆ count │\n", "│ --- ┆ --- ┆ --- │\n", "│ str ┆ str ┆ u32 │\n", "╞══════════╪════════════╪═══════╡\n", "│ S12007 ┆ P060303001 ┆ 72 │\n", "│ S12013 ┆ P060303001 ┆ 107 │\n", "│ S12014 ┆ P060303001 ┆ 65 │\n", "│ S12029 ┆ P060303001 ┆ 92 │\n", "│ S12030 ┆ P060303001 ┆ 115 │\n", "│ S13001 ┆ P060303001 ┆ 67 │\n", "│ S13002 ┆ P060303001 ┆ 78 │\n", "│ S13003 ┆ P071401001 ┆ 65 │\n", "│ S13004 ┆ P060303001 ┆ 88 │\n", "│ S13005 ┆ P040503001 ┆ 36 │\n", "└──────────┴────────────┴───────┘" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by('store_cd', 'product_cd')\n", ".agg(pl.count())\n", ".filter(\n", " (pl.col.count == pl.col.count.max()).over('store_cd')\n", ")\n", ".sort(by='store_cd')\n", ".head(10)\n", ")" ] }, { "cell_type": "markdown", "id": "d2faae52-32f9-41ca-bc62-75aed368bfb2", "metadata": {}, "source": [ "## P-030\n", "\n", "レシート明細データ（df_receipt）に対し、店舗コード（store_cd）ごとに売上金額（amount）の分散を計算し、降順で5件表示せよ。" ] }, { "cell_type": "code", "execution_count": 49, "id": "9391f79b-c544-4fd2-8f48-f2ece51ffe9c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 2)
store_cdvars_amount
strf64
"S13052"440088.701311
"S14011"306314.558164
"S14034"296920.081011
"S13001"295431.993329
"S13015"295294.361116
" ], "text/plain": [ "shape: (5, 2)\n", "┌──────────┬───────────────┐\n", "│ store_cd ┆ vars_amount │\n", "│ --- ┆ --- │\n", "│ str ┆ f64 │\n", "╞══════════╪═══════════════╡\n", "│ S13052 ┆ 440088.701311 │\n", "│ S14011 ┆ 306314.558164 │\n", "│ S14034 ┆ 296920.081011 │\n", "│ S13001 ┆ 295431.993329 │\n", "│ S13015 ┆ 295294.361116 │\n", "└──────────┴───────────────┘" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(\n", "df_receipt\n", ".group_by('store_cd')\n", ".agg(\n", " vars_amount=pl.col.amount.var(ddof=0)\n", ")\n", ".sort(by='vars_amount', descending=True)\n", ".head()\n", ")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 5 }