Skip to content

Commit 5db1ed6

Browse files
JDhyeokJDhyeok
committed
changes
1 parent cd5e1bd commit 5db1ed6

22 files changed

+597
-8068
lines changed

‎Chapter01/Excercises/Excercise1.ipynb‎

Lines changed: 340 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,340 @@
1+
{
2+
"cells": [
3+
{
4+
"cell_type": "code",
5+
"execution_count": 2,
6+
"id": "resistant-papua",
7+
"metadata": {},
8+
"outputs": [],
9+
"source": [
10+
"import pandas as pd"
11+
]
12+
},
13+
{
14+
"cell_type": "code",
15+
"execution_count": 38,
16+
"id": "fifty-poison",
17+
"metadata": {},
18+
"outputs": [],
19+
"source": [
20+
"dataset = \"../Data/USA_Housing.csv\"\n",
21+
"df = pd.read_csv(dataset, header= 0)"
22+
]
23+
},
24+
{
25+
"cell_type": "code",
26+
"execution_count": 39,
27+
"id": "imported-campus",
28+
"metadata": {},
29+
"outputs": [
30+
{
31+
"data": {
32+
"text/plain": [
33+
"Index(['Avg. Area Income', 'Avg. Area House Age', 'Avg. Area Number of Rooms',\n",
34+
" 'Avg. Area Number of Bedrooms', 'Area Population', 'Price', 'Address'],\n",
35+
" dtype='object')"
36+
]
37+
},
38+
"execution_count": 39,
39+
"metadata": {},
40+
"output_type": "execute_result"
41+
}
42+
],
43+
"source": [
44+
"df.columns"
45+
]
46+
},
47+
{
48+
"cell_type": "code",
49+
"execution_count": 40,
50+
"id": "young-austin",
51+
"metadata": {},
52+
"outputs": [
53+
{
54+
"data": {
55+
"text/plain": [
56+
"RangeIndex(start=0, stop=5000, step=1)"
57+
]
58+
},
59+
"execution_count": 40,
60+
"metadata": {},
61+
"output_type": "execute_result"
62+
}
63+
],
64+
"source": [
65+
"df.index"
66+
]
67+
},
68+
{
69+
"cell_type": "code",
70+
"execution_count": 10,
71+
"id": "burning-indonesian",
72+
"metadata": {},
73+
"outputs": [],
74+
"source": [
75+
"df.set_index('Address',inplace=True)"
76+
]
77+
},
78+
{
79+
"cell_type": "code",
80+
"execution_count": 25,
81+
"id": "raising-fabric",
82+
"metadata": {},
83+
"outputs": [
84+
{
85+
"data": {
86+
"text/html": [
87+
"<div>\n",
88+
"<style scoped>\n",
89+
" .dataframe tbody tr th:only-of-type {\n",
90+
" vertical-align: middle;\n",
91+
" }\n",
92+
"\n",
93+
" .dataframe tbody tr th {\n",
94+
" vertical-align: top;\n",
95+
" }\n",
96+
"\n",
97+
" .dataframe thead th {\n",
98+
" text-align: right;\n",
99+
" }\n",
100+
"</style>\n",
101+
"<table border=\"1\" class=\"dataframe\">\n",
102+
" <thead>\n",
103+
" <tr style=\"text-align: right;\">\n",
104+
" <th></th>\n",
105+
" <th>Avg. Area Income</th>\n",
106+
" <th>Avg. Area House Age</th>\n",
107+
" <th>Avg. Area Number of Rooms</th>\n",
108+
" </tr>\n",
109+
" <tr>\n",
110+
" <th>Address</th>\n",
111+
" <th></th>\n",
112+
" <th></th>\n",
113+
" <th></th>\n",
114+
" </tr>\n",
115+
" </thead>\n",
116+
" <tbody>\n",
117+
" <tr>\n",
118+
" <th>208 Michael Ferry Apt. 674\\r\\nLaurabury, NE 37010-5101</th>\n",
119+
" <td>79545.458574</td>\n",
120+
" <td>5.682861</td>\n",
121+
" <td>7.009188</td>\n",
122+
" </tr>\n",
123+
" <tr>\n",
124+
" <th>188 Johnson Views Suite 079\\r\\nLake Kathleen, CA 48958</th>\n",
125+
" <td>79248.642455</td>\n",
126+
" <td>6.002900</td>\n",
127+
" <td>6.730821</td>\n",
128+
" </tr>\n",
129+
" <tr>\n",
130+
" <th>9127 Elizabeth Stravenue\\r\\nDanieltown, WI 06482-3489</th>\n",
131+
" <td>61287.067179</td>\n",
132+
" <td>5.865890</td>\n",
133+
" <td>8.512727</td>\n",
134+
" </tr>\n",
135+
" </tbody>\n",
136+
"</table>\n",
137+
"</div>"
138+
],
139+
"text/plain": [
140+
" Avg. Area Income \\\n",
141+
"Address \n",
142+
"208 Michael Ferry Apt. 674\\r\\nLaurabury, NE 370... 79545.458574 \n",
143+
"188 Johnson Views Suite 079\\r\\nLake Kathleen, C... 79248.642455 \n",
144+
"9127 Elizabeth Stravenue\\r\\nDanieltown, WI 0648... 61287.067179 \n",
145+
"\n",
146+
" Avg. Area House Age \\\n",
147+
"Address \n",
148+
"208 Michael Ferry Apt. 674\\r\\nLaurabury, NE 370... 5.682861 \n",
149+
"188 Johnson Views Suite 079\\r\\nLake Kathleen, C... 6.002900 \n",
150+
"9127 Elizabeth Stravenue\\r\\nDanieltown, WI 0648... 5.865890 \n",
151+
"\n",
152+
" Avg. Area Number of Rooms \n",
153+
"Address \n",
154+
"208 Michael Ferry Apt. 674\\r\\nLaurabury, NE 370... 7.009188 \n",
155+
"188 Johnson Views Suite 079\\r\\nLake Kathleen, C... 6.730821 \n",
156+
"9127 Elizabeth Stravenue\\r\\nDanieltown, WI 0648... 8.512727 "
157+
]
158+
},
159+
"execution_count": 25,
160+
"metadata": {},
161+
"output_type": "execute_result"
162+
}
163+
],
164+
"source": [
165+
"df.iloc[0:3, 0:3] "
166+
]
167+
},
168+
{
169+
"cell_type": "code",
170+
"execution_count": 41,
171+
"id": "flexible-stomach",
172+
"metadata": {},
173+
"outputs": [
174+
{
175+
"data": {
176+
"text/html": [
177+
"<div>\n",
178+
"<style scoped>\n",
179+
" .dataframe tbody tr th:only-of-type {\n",
180+
" vertical-align: middle;\n",
181+
" }\n",
182+
"\n",
183+
" .dataframe tbody tr th {\n",
184+
" vertical-align: top;\n",
185+
" }\n",
186+
"\n",
187+
" .dataframe thead th {\n",
188+
" text-align: right;\n",
189+
" }\n",
190+
"</style>\n",
191+
"<table border=\"1\" class=\"dataframe\">\n",
192+
" <thead>\n",
193+
" <tr style=\"text-align: right;\">\n",
194+
" <th></th>\n",
195+
" <th>Avg. Area Income</th>\n",
196+
" <th>Avg. Area House Age</th>\n",
197+
" </tr>\n",
198+
" </thead>\n",
199+
" <tbody>\n",
200+
" <tr>\n",
201+
" <th>0</th>\n",
202+
" <td>79545.458574</td>\n",
203+
" <td>5.682861</td>\n",
204+
" </tr>\n",
205+
" <tr>\n",
206+
" <th>1</th>\n",
207+
" <td>79248.642455</td>\n",
208+
" <td>6.002900</td>\n",
209+
" </tr>\n",
210+
" <tr>\n",
211+
" <th>2</th>\n",
212+
" <td>61287.067179</td>\n",
213+
" <td>5.865890</td>\n",
214+
" </tr>\n",
215+
" <tr>\n",
216+
" <th>3</th>\n",
217+
" <td>63345.240046</td>\n",
218+
" <td>7.188236</td>\n",
219+
" </tr>\n",
220+
" <tr>\n",
221+
" <th>4</th>\n",
222+
" <td>59982.197226</td>\n",
223+
" <td>5.040555</td>\n",
224+
" </tr>\n",
225+
" </tbody>\n",
226+
"</table>\n",
227+
"</div>"
228+
],
229+
"text/plain": [
230+
" Avg. Area Income Avg. Area House Age\n",
231+
"0 79545.458574 5.682861\n",
232+
"1 79248.642455 6.002900\n",
233+
"2 61287.067179 5.865890\n",
234+
"3 63345.240046 7.188236\n",
235+
"4 59982.197226 5.040555"
236+
]
237+
},
238+
"execution_count": 41,
239+
"metadata": {},
240+
"output_type": "execute_result"
241+
}
242+
],
243+
"source": [
244+
"df.loc[0:4,[\"Avg. Area Income\", \"Avg. Area House Age\"]] # index가 defualt 인 숫자로 되어있을 때만 가능"
245+
]
246+
},
247+
{
248+
"cell_type": "code",
249+
"execution_count": 45,
250+
"id": "latest-recipe",
251+
"metadata": {},
252+
"outputs": [],
253+
"source": [
254+
"X = df.drop('Price',axis=1)"
255+
]
256+
},
257+
{
258+
"cell_type": "code",
259+
"execution_count": 46,
260+
"id": "mysterious-leave",
261+
"metadata": {},
262+
"outputs": [
263+
{
264+
"data": {
265+
"text/plain": [
266+
"(5000, 6)"
267+
]
268+
},
269+
"execution_count": 46,
270+
"metadata": {},
271+
"output_type": "execute_result"
272+
}
273+
],
274+
"source": [
275+
"X.shape"
276+
]
277+
},
278+
{
279+
"cell_type": "code",
280+
"execution_count": 47,
281+
"id": "cooperative-management",
282+
"metadata": {},
283+
"outputs": [
284+
{
285+
"data": {
286+
"text/plain": [
287+
"0 1.059034e+06\n",
288+
"1 1.505891e+06\n",
289+
"2 1.058988e+06\n",
290+
"3 1.260617e+06\n",
291+
"4 6.309435e+05\n",
292+
"5 1.068138e+06\n",
293+
"6 1.502056e+06\n",
294+
"7 1.573937e+06\n",
295+
"8 7.988695e+05\n",
296+
"9 1.545155e+06\n",
297+
"Name: Price, dtype: float64"
298+
]
299+
},
300+
"execution_count": 47,
301+
"metadata": {},
302+
"output_type": "execute_result"
303+
}
304+
],
305+
"source": [
306+
"y = df['Price']\n",
307+
"y.head(10)"
308+
]
309+
},
310+
{
311+
"cell_type": "code",
312+
"execution_count": null,
313+
"id": "vietnamese-california",
314+
"metadata": {},
315+
"outputs": [],
316+
"source": []
317+
}
318+
],
319+
"metadata": {
320+
"kernelspec": {
321+
"display_name": "Python 3",
322+
"language": "python",
323+
"name": "python3"
324+
},
325+
"language_info": {
326+
"codemirror_mode": {
327+
"name": "ipython",
328+
"version": 3
329+
},
330+
"file_extension": ".py",
331+
"mimetype": "text/x-python",
332+
"name": "python",
333+
"nbconvert_exporter": "python",
334+
"pygments_lexer": "ipython3",
335+
"version": "3.8.8"
336+
}
337+
},
338+
"nbformat": 4,
339+
"nbformat_minor": 5
340+
}

0 commit comments

Comments
 (0)