kubapok/2023-programowanie-w-pythonie
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hide answers in zajecia 2 zad 02

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Jakub Pokrywka 2023-11-19 09:50:25 +01:00
parent adfee58250
commit c68dd971b1
1 changed files with 40 additions and 145 deletions
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zajecia2/zad_02.ipynb
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@ -25,119 +25,17 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 1,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>Id</th>\n",
" <th>Expected</th>\n",
" <th>Rooms</th>\n",
" <th>SqrMeters</th>\n",
" <th>Floor</th>\n",
" <th>Location</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>269000</td>\n",
" <td>3</td>\n",
" <td>55.00</td>\n",
" <td>1</td>\n",
" <td>Poznań Zawady</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>320000</td>\n",
" <td>3</td>\n",
" <td>79.00</td>\n",
" <td>10</td>\n",
" <td>Poznań Rataje ul. Orła Bialego</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2</td>\n",
" <td>3</td>\n",
" <td>146000</td>\n",
" <td>1</td>\n",
" <td>31.21</td>\n",
" <td>1</td>\n",
" <td>Poznań Nowe Miasto ul. Kawalerka W Nowym Bloku...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>3</td>\n",
" <td>4</td>\n",
" <td>189000</td>\n",
" <td>2</td>\n",
" <td>44.00</td>\n",
" <td>2</td>\n",
" <td>Poznań Grunwald Ogrody Jeżyce Centrum Łazarz u...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>480240</td>\n",
" <td>2</td>\n",
" <td>65.25</td>\n",
" <td>1</td>\n",
" <td>Poznań ul. Droga Dębińska 19</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 Id Expected Rooms SqrMeters Floor \\\n",
"0 0 1 269000 3 55.00 1 \n",
"1 1 2 320000 3 79.00 10 \n",
"2 2 3 146000 1 31.21 1 \n",
"3 3 4 189000 2 44.00 2 \n",
"4 4 5 480240 2 65.25 1 \n",
"\n",
" Location \n",
"0 Poznań Zawady \n",
"1 Poznań Rataje ul. Orła Bialego \n",
"2 Poznań Nowe Miasto ul. Kawalerka W Nowym Bloku... \n",
"3 Poznań Grunwald Ogrody Jeżyce Centrum Łazarz u... \n",
"4 Poznań ul. Droga Dębińska 19 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"df = pd.read_csv(\"./mieszkania.csv\")\n", "# ODPOWIEDZ:\n",
"\n", "\n",
"df.head()" "\n",
"\n",
"#df = pd.read_csv(\"./mieszkania.csv\")\n",
"\n",
"#df.head()"
] ]
}, },
{ {
@ -149,30 +47,16 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 4, "execution_count": 2,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"data": {
"text/plain": [
"2 2208\n",
"3 1553\n",
"1 620\n",
"4 523\n",
"5 81\n",
"6 13\n",
"10 1\n",
"7 1\n",
"Name: Rooms, dtype: int64"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"df['Rooms'].value_counts()" "# ODPOWIEDZ:\n",
"\n",
"\n",
"\n",
"\n",
"#df['Rooms'].value_counts()"
] ]
}, },
{ {
@ -202,15 +86,19 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"def find_borough(desc):\n", "# ODPOWIEDZ:\n",
" dzielnice = ['Stare Miasto',\n", "\n",
" 'Wilda',\n", "\n",
" 'Jeżyce',\n", "\n",
" 'Rataje',\n", "# def find_borough(desc):\n",
" 'Piątkowo',\n", "# dzielnice = ['Stare Miasto',\n",
" 'Winogrady',\n", "# 'Wilda',\n",
" 'Miłostowo',\n", "# 'Jeżyce',\n",
" 'Dębiec']" "# 'Rataje',\n",
"# 'Piątkowo',\n",
"# 'Winogrady',\n",
"# 'Miłostowo',\n",
"# 'Dębiec']"
] ]
}, },
{ {
@ -265,7 +153,10 @@
} }
], ],
"source": [ "source": [
"df[df['Rooms'] == 2]['Expected'].mean()" "# ODPOWIEDZ:\n",
"\n",
"\n",
"#df[df['Rooms'] == 2]['Expected'].mean()"
] ]
}, },
{ {
@ -294,7 +185,11 @@
} }
], ],
"source": [ "source": [
"df.query('Floor == 13')['Location']" "# ODPOWIEDZ:\n",
"\n",
"\n",
"\n",
"#df.query('Floor == 13')['Location']"
] ]
}, },
{ {
@ -314,7 +209,7 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3 (ipykernel)", "display_name": "Python 3",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@ -328,7 +223,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.13" "version": "3.8.3"
} }
}, },
"nbformat": 4, "nbformat": 4,