lab1-third commit

This commit is contained in:
salih 2024-09-14 08:27:12 +04:00
parent 17af8a6534
commit 9f72a8c942
4 changed files with 6 additions and 26 deletions

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@ -2,28 +2,14 @@
"cells": [ "cells": [
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 49, "execution_count": 8,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
" Store_Area Items_Available Daily_Customer_Count Store_Sales\n", "Index(['Store_Area', 'Items_Available', 'Daily_Customer_Count', 'Store_Sales'], dtype='object') \n",
"Store ID \n",
"1 1659 1961 530 66490\n",
"2 1461 1752 210 39820\n",
"3 1340 1609 720 54010\n",
"4 1451 1748 620 53730\n",
"5 1770 2111 450 46620\n",
"... ... ... ... ...\n",
"892 1582 1910 1080 66390\n",
"893 1387 1663 850 82080\n",
"894 1200 1436 1060 76440\n",
"895 1299 1560 770 96610\n",
"896 1174 1429 1110 54340\n",
"\n",
"[896 rows x 4 columns] \n",
"\n" "\n"
] ]
}, },
@ -43,9 +29,9 @@
"import pandas as pd \n", "import pandas as pd \n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"\n", "\n",
"df = pd.read_csv(\"data/Stores.csv\", index_col=\"Store ID \")\n", "df = pd.read_csv(\"..//static//csv//Stores.csv\", index_col=\"Store ID \")\n",
"\n", "\n",
"print(df, \"\\n\")\n", "print(df.columns, \"\\n\")\n",
"\n", "\n",
"df[\"Gr\"] = df[\"Store_Sales\"].apply(lambda x: \"Award\" if x > 70000 else \"Normal\")\n", "df[\"Gr\"] = df[\"Store_Sales\"].apply(lambda x: \"Award\" if x > 70000 else \"Normal\")\n",
"\n", "\n",
@ -78,7 +64,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 50, "execution_count": 9,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
@ -119,7 +105,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 51, "execution_count": 10,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {

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lab_1/requirements.txt Normal file

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@ -1,6 +0,0 @@
numpy==2.1.1
jupyter_client==8.6.2
jupyter_core==5.7.2
matplotlib-inline==0.1.7
pandas==2.2.2
matplotlib==3.9.2