In [1]:
import numpy as np
import pandas as pd
import tensorflow as tf
In [2]:
user_name = 'David Mendoza'
In [3]:
df = pd.read_csv('transaction.csv')
df
Out[3]:
time
name
gender
age
company name
company label
amount
0
2017-07-02 22:27:48
Rachel Trujillo
male
36
Coursera Inc.
Education
111.22
1
2017-06-10 12:37:05
Rachel Trujillo
male
36
Laura Mercier Cosmetics.
Beauty
108.46
2
2017-06-07 14:24:02
Rachel Trujillo
male
36
Synovus Financial Corp.
Investment
208.21
3
2017-06-25 15:36:22
Rachel Trujillo
male
36
Peak Tramways Company Limited
Transport
222.79
4
2017-06-30 03:34:48
Rachel Trujillo
male
36
McDonald' s
Dining
86.28
5
2017-06-29 18:00:00
Rachel Trujillo
male
36
Pearson plc
Education
47.68
6
2017-06-30 21:34:26
Rachel Trujillo
male
36
Wal-Mart Stores Inc
Grocery
93.69
7
2017-07-04 11:57:56
Rachel Trujillo
male
36
Principal Financial Group Inc
Investment
115.46
8
2017-06-13 06:54:58
Rachel Trujillo
male
36
Voya Financial, Inc.
Investment
142.11
9
2017-07-02 18:23:56
Rachel Trujillo
male
36
The Dairy Farm Company, Limited
Grocery
61.87
10
2017-06-17 03:32:26
Rachel Trujillo
male
36
2U, Inc.
Education
280.35
11
2017-07-03 13:44:19
Rachel Trujillo
male
36
City Super Limited
Grocery
281.82
12
2017-06-16 16:16:17
Rachel Trujillo
male
36
GAP
Clothing
9.13
13
2017-06-17 01:17:02
Rachel Trujillo
male
36
Subway
Dining
104.77
14
2017-06-21 11:14:37
Rachel Trujillo
male
36
KOKUYO Co.,Ltd.
Stationery
300.88
15
2017-06-11 21:15:08
Rachel Trujillo
male
36
Raymond James Financial, Inc.
Investment
33.22
16
2017-06-14 11:45:03
Rachel Trujillo
male
36
KOKUYO Co.,Ltd.
Stationery
297.04
17
2017-07-03 21:29:17
Rachel Trujillo
male
36
Liberty Stationery Corp.
Stationery
133.08
18
2017-06-20 09:04:47
Rachel Trujillo
male
36
Ikari Area
Entertainment
9.43
19
2017-06-10 18:31:22
Rachel Trujillo
male
36
The 'Star' Ferry Company, Limited
Transport
201.96
20
2017-07-05 20:58:23
Rachel Trujillo
male
36
Tim Ho Wan
Dining
292.67
21
2017-06-23 20:15:43
Rachel Trujillo
male
36
BB Liquidating Inc
Media
163.39
22
2017-06-24 15:32:14
Rachel Trujillo
male
36
Parker Pen Company
Stationery
260.15
23
2017-06-24 04:00:43
Rachel Trujillo
male
36
Le.com
Media
149.06
24
2017-07-04 03:13:19
Rachel Trujillo
male
36
J. Crew
Clothing
273.85
25
2017-06-12 00:30:44
Rachel Trujillo
male
36
Voya Financial, Inc.
Investment
93.04
26
2017-06-20 09:50:33
Rachel Trujillo
male
36
Neway Karaoke Box Limited
Entertainment
239.05
27
2017-06-22 22:08:41
Rachel Trujillo
male
36
TCF Financial Corporation
Investment
244.24
28
2017-06-11 13:26:35
Rachel Trujillo
male
36
Principal Financial Group Inc
Investment
117.48
29
2017-07-04 09:40:59
Rachel Trujillo
male
36
Laura Mercier Cosmetics.
Beauty
134.45
...
...
...
...
...
...
...
...
399970
2017-06-12 23:41:20
Kelsey Jones
male
50
Sumitomo Mitsui Financial Group Inc
Investment
16.89
399971
2017-06-29 22:55:52
Kelsey Jones
male
50
Udacity, Inc.
Education
197.18
399972
2017-06-08 21:36:12
Kelsey Jones
male
50
Staedtler Mars GmbH & Co. KG
Stationery
81.63
399973
2017-06-07 07:32:09
Kelsey Jones
male
50
Waddell & Reed Financial, Inc.
Investment
258.03
399974
2017-06-30 10:49:34
Kelsey Jones
male
50
Shenzhen Comix Stationery Co., Ltd.
Stationery
200.22
399975
2017-06-29 10:25:22
Kelsey Jones
male
50
Hong Kong Dragon Airlines Ltd
Transport
16.32
399976
2017-07-02 23:05:33
Kelsey Jones
male
50
Maxim' s Catering
Dining
265.12
399977
2017-06-14 09:14:25
Kelsey Jones
male
50
Shinhan Financial Group Co Ltd
Investment
113.96
399978
2017-06-16 23:01:34
Kelsey Jones
male
50
The Kowloon Motor Bus Company Limited
Transport
51.15
399979
2017-06-30 20:05:53
Kelsey Jones
male
50
Xbox
Entertainment
233.69
399980
2017-06-14 11:43:47
Kelsey Jones
male
50
J. Crew
Clothing
141.99
399981
2017-06-07 09:19:46
Kelsey Jones
male
50
New World First Bus Services Limited
Transport
197.35
399982
2017-06-28 11:42:38
Kelsey Jones
male
50
edX Inc.
Education
294.94
399983
2017-06-13 14:28:37
Kelsey Jones
male
50
Yadkin Financial Corporation
Investment
52.28
399984
2017-06-17 13:29:12
Kelsey Jones
male
50
Netflix, Inc.
Media
31.73
399985
2017-06-15 06:16:08
Kelsey Jones
male
50
Ikari Area
Entertainment
201.77
399986
2017-06-23 18:05:50
Kelsey Jones
male
50
Levi Strauss & Co.
Clothing
272.93
399987
2017-06-16 12:47:34
Kelsey Jones
male
50
Spotify AB
Media
114.97
399988
2017-06-22 20:57:56
Kelsey Jones
male
50
Cathay Pacific Airways
Transport
71.12
399989
2017-06-26 04:56:07
Kelsey Jones
male
50
Coursera Inc.
Education
275.30
399990
2017-07-02 17:11:21
Kelsey Jones
male
50
Code School LLC.
Education
92.36
399991
2017-06-16 02:28:35
Kelsey Jones
male
50
Ryze Ultimate Trampoline Park Hong Kong
Entertainment
283.62
399992
2017-07-04 20:10:37
Kelsey Jones
male
50
Redbox Automated Retail, LLC.
Media
169.40
399993
2017-06-17 02:49:32
Kelsey Jones
male
50
McDonald' s
Dining
55.72
399994
2017-06-28 08:49:46
Kelsey Jones
male
50
Long Win Bus Company Limited
Transport
156.04
399995
2017-07-02 21:33:10
Kelsey Jones
male
50
New Oriental Education & Tech Grp
Education
39.57
399996
2017-06-26 10:09:42
Kelsey Jones
male
50
Xbox
Entertainment
222.35
399997
2017-06-13 04:40:07
Kelsey Jones
male
50
Tim Ho Wan
Dining
163.53
399998
2017-06-13 16:58:51
Kelsey Jones
male
50
G2000
Clothing
16.58
399999
2017-07-05 07:28:44
Kelsey Jones
male
50
FANCL International, Inc.
Beauty
211.63
400000 rows × 7 columns
In [9]:
user_age = list(df.loc[df['name'] == user_name, 'age'])[0]
Out[9]:
40
In [16]:
#generate same age dataframe
dfSameAge = df.loc[(df['age'] < 50 )]
dfSameAge = dfSameAge.loc[dfSameAge['age'] >= 40]
dfSameAge
Out[16]:
time
name
gender
age
company name
company label
amount
240
2017-06-24 12:16:21
Antonio Matthews
male
46
Ryze Ultimate Trampoline Park Hong Kong
Entertainment
294.16
241
2017-06-27 06:14:21
Antonio Matthews
male
46
The Ohio & Michigan Paper Company
Stationery
22.43
242
2017-06-23 00:00:28
Antonio Matthews
male
46
Crackle, Inc.
Media
23.09
243
2017-06-28 02:49:37
Antonio Matthews
male
46
Shinhan Financial Group Co Ltd
Investment
10.78
244
2017-06-29 00:07:48
Antonio Matthews
male
46
Raymond James Financial, Inc.
Investment
34.46
245
2017-06-30 14:37:31
Antonio Matthews
male
46
Colourmix Cosmetics Company Limited
Beauty
260.20
246
2017-07-04 14:19:29
Antonio Matthews
male
46
PILOT CORPORATION
Stationery
279.09
247
2017-06-19 23:04:54
Antonio Matthews
male
46
Xbox
Entertainment
22.47
248
2017-06-26 10:24:27
Antonio Matthews
male
46
Hong Kong Tramways, Limited
Transport
140.54
249
2017-06-19 00:38:13
Antonio Matthews
male
46
The Kowloon Motor Bus Company Limited
Transport
216.32
250
2017-06-18 10:45:22
Antonio Matthews
male
46
Tesco PLC
Grocery
196.59
251
2017-06-17 13:00:24
Antonio Matthews
male
46
Pizza Hut
Dining
264.03
252
2017-06-07 19:21:24
Antonio Matthews
male
46
Coursera Inc.
Education
150.28
253
2017-06-21 14:18:09
Antonio Matthews
male
46
The PNC Financial Services Group, Inc.
Investment
53.49
254
2017-06-14 10:15:00
Antonio Matthews
male
46
VR Arena
Entertainment
201.49
255
2017-07-01 21:29:14
Antonio Matthews
male
46
Tim Ho Wan
Dining
280.37
256
2017-06-21 07:26:54
Antonio Matthews
male
46
Stifel Financial Corporation
Investment
186.27
257
2017-06-18 21:44:55
Antonio Matthews
male
46
Walt Disney Company
Entertainment
150.97
258
2017-06-30 07:59:10
Antonio Matthews
male
46
Sa Sa Cosmetic Co. Ltd.
Beauty
106.11
259
2017-06-26 15:40:34
Antonio Matthews
male
46
Youku Tudou Inc.
Media
95.07
260
2017-06-11 07:46:14
Antonio Matthews
male
46
Hok Yee Stationery Company
Stationery
201.10
261
2017-06-13 13:15:08
Antonio Matthews
male
46
Spotify AB
Media
166.91
262
2017-06-07 05:15:56
Antonio Matthews
male
46
Holister Co.
Clothing
292.70
263
2017-07-03 03:41:33
Antonio Matthews
male
46
AMC Entertainment Inc
Entertainment
90.75
264
2017-06-29 17:30:13
Antonio Matthews
male
46
Chegg Inc
Education
254.66
265
2017-06-30 21:12:05
Antonio Matthews
male
46
KKBOX
Media
254.27
266
2017-06-26 16:52:54
Antonio Matthews
male
46
Netflix, Inc.
Media
260.99
267
2017-06-23 22:40:15
Antonio Matthews
male
46
Tesco PLC
Grocery
158.15
268
2017-07-03 15:44:55
Antonio Matthews
male
46
Peak Tramways Company Limited
Transport
248.20
269
2017-06-14 00:34:19
Antonio Matthews
male
46
Tarena International, Inc.
Education
63.47
...
...
...
...
...
...
...
...
399370
2017-06-12 12:41:42
Shelly Lawrence
male
42
Code School LLC.
Education
39.61
399371
2017-06-16 08:03:36
Shelly Lawrence
male
42
Spotify AB
Media
182.34
399372
2017-06-28 12:37:43
Shelly Lawrence
male
42
Levi Strauss & Co.
Clothing
159.57
399373
2017-06-21 13:48:31
Shelly Lawrence
male
42
Udemy, Inc.
Education
124.34
399374
2017-06-21 01:34:28
Shelly Lawrence
male
42
The Kowloon Motor Bus Company Limited
Transport
116.58
399375
2017-06-21 23:43:20
Shelly Lawrence
male
42
Clinique Laboratories, llc.
Beauty
217.69
399376
2017-06-11 15:57:07
Shelly Lawrence
male
42
The Ohio & Michigan Paper Company
Stationery
107.99
399377
2017-07-05 16:05:00
Shelly Lawrence
male
42
L'Oreal SA
Beauty
31.99
399378
2017-06-14 10:39:15
Shelly Lawrence
male
42
AMC Entertainment Inc
Entertainment
167.48
399379
2017-06-14 11:51:58
Shelly Lawrence
male
42
Broadway Cinematheque
Entertainment
119.18
399380
2017-06-20 08:27:30
Shelly Lawrence
male
42
Stifel Financial Corporation
Investment
215.80
399381
2017-07-03 16:12:08
Shelly Lawrence
male
42
G2000
Clothing
249.15
399382
2017-06-23 04:26:36
Shelly Lawrence
male
42
The Kowloon Motor Bus Company Limited
Transport
81.81
399383
2017-06-19 18:24:20
Shelly Lawrence
male
42
Air China Airlines
Transport
151.85
399384
2017-07-02 13:14:58
Shelly Lawrence
male
42
Ruby Tuesday
Dining
98.97
399385
2017-07-04 12:50:29
Shelly Lawrence
male
42
Xbox
Entertainment
196.41
399386
2017-06-14 15:19:54
Shelly Lawrence
male
42
Memrise Inc.
Education
77.85
399387
2017-07-02 05:24:01
Shelly Lawrence
male
42
Ikari Area
Entertainment
141.45
399388
2017-06-12 21:44:31
Shelly Lawrence
male
42
Maxim' s Catering
Dining
170.22
399389
2017-07-05 23:00:57
Shelly Lawrence
male
42
Cathay Pacific Airways
Transport
261.03
399390
2017-06-18 01:09:32
Shelly Lawrence
male
42
The UrbanTaxi
Transport
194.27
399391
2017-06-25 11:18:41
Shelly Lawrence
male
42
Colourmix Cosmetics Company Limited
Beauty
179.55
399392
2017-06-21 14:44:41
Shelly Lawrence
male
42
Hong Kong Airlines
Transport
289.14
399393
2017-06-30 09:07:53
Shelly Lawrence
male
42
Shinhan Financial Group Co Ltd
Investment
30.52
399394
2017-06-18 08:01:17
Shelly Lawrence
male
42
Raymond James Financial, Inc.
Investment
173.41
399395
2017-06-29 19:57:30
Shelly Lawrence
male
42
Costco Wholesale Corporation
Grocery
225.21
399396
2017-06-15 22:27:55
Shelly Lawrence
male
42
Code School LLC.
Education
151.89
399397
2017-06-14 16:01:42
Shelly Lawrence
male
42
Longchamp
Clothing
157.49
399398
2017-06-21 09:21:27
Shelly Lawrence
male
42
Costco Wholesale Corporation
Grocery
57.18
399399
2017-06-29 11:00:01
Shelly Lawrence
male
42
McDonald' s
Dining
94.67
119000 rows × 7 columns
In [21]:
# prepare for the array
companies = pd.read_csv('label.csv')
company_names= list(companies.name)
company_names
Out[21]:
['Bobbi Brown Inc.',
'Dior Beauty',
'Derma Skincare Centre',
'KIKO Asia Ltd.',
'Vichy Laboratories',
'Colourmix Cosmetics Company Limited',
'Sa Sa Cosmetic Co. Ltd.',
'Clinique Laboratories, llc.',
'Shiseido Company, Limited',
'Sephora USA, Inc.',
'MAKE-UP ART COSMETICS.',
'Clarins.',
"L'Oreal SA",
'Laura Mercier Cosmetics.',
'FANCL International, Inc.',
'Memrise Inc.',
'Coursera Inc.',
'Udacity, Inc.',
'Code School LLC.',
'edX Inc.',
'Open Learning Global Pty Ltd.',
'New Oriental Education & Tech Grp',
'Chinese TAL Education Group',
'Tarena International, Inc.',
'Chegg Inc',
'2U, Inc.',
'McGraw-Hill Education',
'Pearson plc',
'China Distance Education Hldgs Ltd',
'Udemy, Inc.',
'YouTube',
'Netflix, Inc.\xa0',
'Spotify AB',
'Youku Tudou Inc.',
'iQIYI.COM',
'Xiami.com',
'KKBOX',
'QQ Music',
'Home Box Office Inc.',
'Vudu, Inc.\xa0',
'DIRECTV',
'Redbox Automated Retail, LLC.\xa0',
'BB Liquidating Inc',
'Le.com',
'Crackle, Inc.',
'Marks and Spencer Group Plc',
'Tesco PLC',
'Wal-Mart Stores Inc',
'Costco Wholesale Corporation',
'Best Buy Co Inc',
'Publix Super Markets',
'Carrefour SA',
'Rainbow Department Store Company Limited',
'The Dairy Farm Company, Limited',
'PARKnSHOP Supermarket HK.',
'A.S. Watson Group (Hong Kong) Ltd.',
'City Super Limited',
'SOGO Limited.',
'Mannings.',
'AEON CO. LTD',
'Rifle Paper Co.',
'Staedtler Mars GmbH & Co. KG',
'KOKUYO Co.,Ltd.',
'PILOT CORPORATION',
'Schwan-STABILO Group',
'Faber-Castell',
'Liberty Stationery Corp.\xa0',
'Parker Pen Company',
'Sakura Color Products Corporation',
'Maped SAS',
'Societe B I C SA',
'The Ohio & Michigan Paper Company',
'Hok Yee Stationery Company',
'3M Company',
'Shenzhen Comix Stationery Co., Ltd.',
'The PNC Financial Services Group, Inc.',
'Principal Financial Group Inc',
'RAIT Financial Trust',
'Raymond James Financial, Inc.',
'Shinhan Financial Group Co Ltd',
'Stifel Financial Corporation',
'Sumitomo Mitsui Financial Group Inc',
'Sun Life Financial Inc.',
'Synovus Financial Corp.',
'TCF Financial Corporation',
'Voya Financial, Inc.',
'Waddell & Reed Financial, Inc.',
'Webster Financial Corporation',
'Yadkin Financial Corporation',
'ZAIS Financial Corp.',
'Subway',
"McDonald' s",
'KFC',
'Burger King',
'Pizza Hut',
"Maxim' s Catering",
"Domino' s Pizza",
'Pacific Coffee Company',
'Din Tai Fung',
'Ruby Tuesday',
'Sizzler',
'Yoshinoya',
'Wing Wah',
'Tim Ho Wan',
'Café de Coral',
'Mass Transit Railway (MTR)',
'The Kowloon Motor Bus Company Limited',
'Citybus Limited',
'Long Win Bus Company Limited',
'Uber',
'Hong Kong Airlines',
'Cathay Pacific Airways',
'Hong Kong Express Airways Limited',
'Hong Kong Dragon Airlines Ltd',
'The UrbanTaxi',
"The 'Star' Ferry Company, Limited",
'Hong Kong Tramways, Limited',
'Peak Tramways Company Limited',
'New World First Bus Services Limited',
'Air China Airlines',
'Broadway Cinematheque',
'UA Cinema Circuit Limited',
'Neway Karaoke Box Limited',
'Red MR Limited',
'Walt Disney Company',
'AMC Entertainment Inc',
'Nintendo',
'Xbox',
'LEGO',
'Ocean Park Hong Kong ',
'Ryze Ultimate Trampoline Park Hong Kong',
'Ball Room',
'Ikari Area',
'VR Arena',
'HA cube',
'American Eagle Outfitters Inc',
'Holister Co.',
'Zara',
'H&M Hennes & Mauritz AB',
'GAP',
'Levi Strauss & Co. ',
'G2000',
'Louis Vuitton',
'Longchamp',
'J. Crew',
'Nike',
'Adidas',
'Converse',
'Superdry',
'Balenciaga']
In [32]:
number_of_people = int(dfSameAge.shape[0] / 40)
allList = []
for i in range(number_of_people):
currentList = []
for j in range(40):
row= dfSameAge.iloc[i*40+j]
companyName = row['company name']
companyIndex = company_names.index(companyName)
oneHot = np.zeros(len(company_names))
oneHot[companyIndex] = 1
currentList.append(oneHot)
allList.append(currentList)
np.array(allList).shape
Out[32]:
(2975, 40, 150)
In [35]:
np.save('ontHotEncoded.npy', allList)
In [ ]:
Content source: FinHackChamp/FinHack
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