diff --git a/zajecia2/zad_02.ipynb b/zajecia2/zad_02.ipynb index e6dc86d..989cd9c 100644 --- a/zajecia2/zad_02.ipynb +++ b/zajecia2/zad_02.ipynb @@ -25,119 +25,17 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Unnamed: 0IdExpectedRoomsSqrMetersFloorLocation
001269000355.001Poznań Zawady
112320000379.0010Poznań Rataje ul. Orła Bialego
223146000131.211Poznań Nowe Miasto ul. Kawalerka W Nowym Bloku...
334189000244.002Poznań Grunwald Ogrody Jeżyce Centrum Łazarz u...
445480240265.251Poznań ul. Droga Dębińska 19
\n", - "
" - ], - "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" - } - ], + "outputs": [], "source": [ - "df = pd.read_csv(\"./mieszkania.csv\")\n", + "# ODPOWIEDZ:\n", "\n", - "df.head()" + "\n", + "\n", + "#df = pd.read_csv(\"./mieszkania.csv\")\n", + "\n", + "#df.head()" ] }, { @@ -149,30 +47,16 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, - "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" - } - ], + "outputs": [], "source": [ - "df['Rooms'].value_counts()" + "# ODPOWIEDZ:\n", + "\n", + "\n", + "\n", + "\n", + "#df['Rooms'].value_counts()" ] }, { @@ -202,15 +86,19 @@ "metadata": {}, "outputs": [], "source": [ - "def find_borough(desc):\n", - " dzielnice = ['Stare Miasto',\n", - " 'Wilda',\n", - " 'Jeżyce',\n", - " 'Rataje',\n", - " 'Piątkowo',\n", - " 'Winogrady',\n", - " 'Miłostowo',\n", - " 'Dębiec']" + "# ODPOWIEDZ:\n", + "\n", + "\n", + "\n", + "# def find_borough(desc):\n", + "# dzielnice = ['Stare Miasto',\n", + "# 'Wilda',\n", + "# 'Jeżyce',\n", + "# 'Rataje',\n", + "# 'Piątkowo',\n", + "# 'Winogrady',\n", + "# 'Miłostowo',\n", + "# 'Dębiec']" ] }, { @@ -265,7 +153,10 @@ } ], "source": [ - "df[df['Rooms'] == 2]['Expected'].mean()" + "# ODPOWIEDZ:\n", + "\n", + "\n", + "#df[df['Rooms'] == 2]['Expected'].mean()" ] }, { @@ -294,7 +185,11 @@ } ], "source": [ - "df.query('Floor == 13')['Location']" + "# ODPOWIEDZ:\n", + "\n", + "\n", + "\n", + "#df.query('Floor == 13')['Location']" ] }, { @@ -314,7 +209,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -328,7 +223,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.8.3" } }, "nbformat": 4,