-
Notifications
You must be signed in to change notification settings - Fork 0
/
api-th.py
425 lines (375 loc) · 16.1 KB
/
api-th.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
import flask
from flask import request, jsonify
import csv
import json
from json2html import *
app = flask.Flask(__name__)
app.config["DEBUG"] = True
data_file_dir = "C:/Users/anush/PycharmProjects/titanhacks/datafiles"
all_races = []
white_alone = []
white_not_hispanic = []
black_alone_or_in_combo = []
black_alone = []
asian_alone_or_in_combo = []
asian_and_pacific_islander = []
hispanic = []
min_max = []
percentage_data = []
degrees = []
@app.route('/', methods=['GET'])
def home():
return '''<h1>Income Trend Analysis By Race Across the US</h1><html>
<body>
<p><a href=/api/v1/resources/inequality_rates/degrees_by_race><input type=”button” value=Degrees_By_Race></a></p>
<p><a href=/api/v1/resources/inequality_rates/income_by_race><input type=”button” value=Income_By_Race></a></p>
<p><a href=/api/v1/resources/inequality_rates/min_max><input type=”button” value=Income-Min/Max></a></p>
<p><a href=/api/v1/resources/inequality_rates/percentage_increase><input type=”button” value=Percentage_Increase></a></p>
<p><a href=/api/v1/resources/inequality_rates/2008-2018><input type=”button” value=Income-2008/2018></a></p>
<p><a href=/api/v1/resources/inequality_rates/comparison><input type=”button” value=Comparison></a></p>
</body>
</html>'''
#converts csv file of income statistics to an array
@app.route('/api/v1/resources/inequality_rates/income_by_race', methods=['GET'])
def api_income_by_race():
csvfile = open(data_file_dir + '/household_income_by_race.csv', 'r')
jsonfile = open('file.json', 'w')
fieldnames = ("Year", "Num(thousands)", "MedianIncome(currentDollars)", "MedianIncome(2018dollars)", "MeanIncome(currentDollars)", "MeanIncome(2018dollars)", "Race")
reader = csv.DictReader(csvfile, fieldnames)
out = json.dumps([row for row in reader])
jsonfile.write(out)
with open('C:/Users/anush/PycharmProjects/titanhacks/file.json') as f:
data = json.load(f)
data = data[7:]
#creates different lists for each race to make it easier to call for certain statistics
a = 0
for i in range(1):
while True:
try:
x = int(data[a]["Year"][:1])
a = a + 1
except ValueError:
a = a + 3
break
for i in range(2):
while True:
try:
x = int(data[a]["Year"][:1])
white_alone.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(white_alone)
for i in range(2):
while True:
try:
x = int(data[a]["Year"][:1])
white_not_hispanic.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(white_not_hispanic)
for i in range(1):
while True:
try:
x = int(data[a]["Year"][:1])
black_alone_or_in_combo.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(black_alone_or_in_combo)
for i in range(2):
while True:
try:
x = int(data[a]["Year"][:1])
black_alone.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(black_alone)
for i in range(1):
while True:
try:
x = int(data[a]["Year"][:1])
asian_alone_or_in_combo.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(asian_alone_or_in_combo)
for i in range(2):
while True:
try:
x = int(data[a]["Year"][:1])
asian_and_pacific_islander.append(data[a])
a = a + 1
except ValueError:
a = a + 3
break
all_races.append(asian_and_pacific_islander)
for i in range(1):
while True:
try:
x = int(data[a]["Year"][:1])
hispanic.append(data[a])
a = a + 1
except ValueError:
break
all_races.append(hispanic)
return json2html.convert(json = all_races)
#finds minimum and maximum income values for all races
@app.route('/api/v1/resources/inequality_rates/min_max', methods=["GET"])
def api_minmax():
api_income_by_race()
result = ""
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(white_alone)):
if int(white_alone[i]["MeanIncome(currentDollars)"]) > int(max):
max = white_alone[i]["MeanIncome(currentDollars)"]
max_year = white_alone[i]["Year"]
for i in range(len(white_alone)):
if int(white_alone[i]["MeanIncome(currentDollars)"]) < int(min):
min = white_alone[i]["MeanIncome(currentDollars)"]
min_year = white_alone[i]["Year"]
min_max.append([max, min])
result = result + ("<p>White Alone (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ " " + white_alone[2]["MeanIncome(currentDollars)"] + "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(white_not_hispanic)):
if int(white_not_hispanic[i]["MeanIncome(currentDollars)"]) > int(max):
max = white_not_hispanic[i]["MeanIncome(currentDollars)"]
max_year = white_not_hispanic[i]["Year"]
for i in range(len(white_not_hispanic)):
if int(white_not_hispanic[i]["MeanIncome(currentDollars)"]) < int(min):
min = white_not_hispanic[i]["MeanIncome(currentDollars)"]
min_year = white_not_hispanic[i]["Year"]
min_max.append([max, min])
result = result + ("<p>White, Not Hispanic (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min)) + " " + white_not_hispanic[2]["MeanIncome(currentDollars)"] + "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(black_alone_or_in_combo)):
if int(black_alone_or_in_combo[i]["MeanIncome(currentDollars)"]) > int(max):
max = black_alone_or_in_combo[i]["MeanIncome(currentDollars)"]
max_year = black_alone_or_in_combo[i]["Year"]
for i in range(len(black_alone_or_in_combo)):
if int(black_alone_or_in_combo[i]["MeanIncome(currentDollars)"]) < int(min):
min = black_alone_or_in_combo[i]["MeanIncome(currentDollars)"]
min_year = black_alone_or_in_combo[i]["Year"]
min_max.append([max, min])
result = result + ("<p>Black Alone or in Combination (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(black_alone)):
if int(black_alone[i]["MeanIncome(currentDollars)"]) > int(max):
max = black_alone[i]["MeanIncome(currentDollars)"]
max_year = black_alone[i]["Year"]
for i in range(len(black_alone)):
if int(black_alone[i]["MeanIncome(currentDollars)"]) < int(min):
min = black_alone[i]["MeanIncome(currentDollars)"]
min_year = black_alone[i]["Year"]
min_max.append([max, min])
result = result + ("<p>Black Alone (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(asian_alone_or_in_combo)):
if int(asian_alone_or_in_combo[i]["MeanIncome(currentDollars)"]) > int(max):
max = asian_alone_or_in_combo[i]["MeanIncome(currentDollars)"]
max_year = asian_alone_or_in_combo[i]["Year"]
for i in range(len(asian_alone_or_in_combo)):
if int(asian_alone_or_in_combo[i]["MeanIncome(currentDollars)"]) < int(min):
min = asian_alone_or_in_combo[i]["MeanIncome(currentDollars)"]
min_year = asian_alone_or_in_combo[i]["Year"]
min_max.append([max, min])
result = result + ("<p>Asian Alone or in Conbination (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(asian_and_pacific_islander)):
if int(asian_and_pacific_islander[i]["MeanIncome(currentDollars)"]) > int(max):
max = asian_and_pacific_islander[i]["MeanIncome(currentDollars)"]
max_year = asian_and_pacific_islander[i]["Year"]
for i in range(len(asian_and_pacific_islander)):
if int(asian_and_pacific_islander[i]["MeanIncome(currentDollars)"]) < int(min):
min = asian_and_pacific_islander[i]["MeanIncome(currentDollars)"]
min_year = asian_and_pacific_islander[i]["Year"]
min_max.append([max, min])
result = result + ("<p>Asian and Pacific Islander (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ "</p>"
max = 0
max_year = 0
min = 1000000
min_year = 0
for i in range(len(hispanic)):
if int(hispanic[i]["MeanIncome(currentDollars)"]) > int(max):
max = hispanic[i]["MeanIncome(currentDollars)"]
max_year = hispanic[i]["Year"]
for i in range(len(hispanic)):
if int(hispanic[i]["MeanIncome(currentDollars)"]) < int(min):
min = hispanic[i]["MeanIncome(currentDollars)"]
min_year = hispanic[i]["Year"]
min_max.append([max, min])
result = result + ("<p>Hispanic (max, min): " + str(max_year) + "-" + str(max) + ", " + str(min_year) + "-" + str(min))+ "</p>"
return result
#Finds the percentage increase in income betweeen 2008 and 2018 for the races used in comparison
@app.route('/api/v1/resources/inequality_rates/percentage_increase', methods=['GET'])
def api_percentageIncrease():
api_2008_2018()
return ("<p>White, Not Hispanic Income Percentage Increase: " + str(100*(int(percentage_data[0]["2018"])-int(percentage_data[0]["2008"]))/int(percentage_data[0]["2008"])) + "%</p>" +
"<p>Black Alone Percentage Increase: " + str(100*(int(percentage_data[1]["2018"])-int(percentage_data[1]["2008"]))/int(percentage_data[1]["2008"])) + "%</p>" +
"<p>Asian Alone or In Combination Percentage Increase: " + str(100*(int(percentage_data[2]["2018"])-int(percentage_data[2]["2008"]))/int(percentage_data[2]["2008"])) + "%</p>" +
"<p>Asian and Pacific Islander Percentage Increase: " + str(100*(int(percentage_data[3]["2018"])-int(percentage_data[3]["2008"]))/int(percentage_data[3]["2008"])) + "%</p>" +
"<p>Hispanic Income Percentage Increase: " + str(100*(int(percentage_data[4]["2018"])-int(percentage_data[4]["2008"]))/int(percentage_data[4]["2008"])) + "%</p>")
#finds the 2008 and 2018 income stats to be used in the percentageIncrease function
@app.route('/api/v1/resources/inequality_rates/2008-2018', methods=['GET'])
def api_2008_2018():
api_income_by_race()
x = 0
y = 0
for i in range(len(white_not_hispanic)):
cur_value = white_not_hispanic[i]
cur_year = cur_value["Year"]
if cur_year == "2018":
x = cur_value["MeanIncome(currentDollars)"]
for i in range(len(white_not_hispanic)):
cur_value = white_not_hispanic[i]
cur_year = cur_value["Year"]
if cur_year == "2008":
y = cur_value["MeanIncome(currentDollars)"]
percentage_data.append({
'Race': 'White, Not Hispanic',
'2018': x,
'2008': y})
x = 0
y = 0
for i in range(len(black_alone)):
cur_value = black_alone[i]
cur_year = cur_value["Year"]
if cur_year == "2018":
x = cur_value["MeanIncome(currentDollars)"]
for i in range(len(black_alone)):
cur_value = black_alone[i]
cur_year = cur_value["Year"]
if cur_year == "2008":
y = cur_value["MeanIncome(currentDollars)"]
percentage_data.append({
'Race': 'Black Alone',
'2018': x,
'2008': y})
x = 0
y = 0
for i in range(len(asian_alone_or_in_combo)):
cur_value = asian_alone_or_in_combo[i]
cur_year = cur_value["Year"]
if cur_year == "2018":
x = cur_value["MeanIncome(currentDollars)"]
for i in range(len(asian_alone_or_in_combo)):
cur_value = asian_alone_or_in_combo[i]
cur_year = cur_value["Year"]
if cur_year == "2008":
y = cur_value["MeanIncome(currentDollars)"]
percentage_data.append({
'Race': 'Asian Alone or In Combo',
'2018': x,
'2008': y})
x = 0
y = 0
for i in range(len(asian_and_pacific_islander)):
cur_value = asian_and_pacific_islander[i]
cur_year = cur_value["Year"]
if cur_year == "2018":
x = cur_value["MeanIncome(currentDollars)"]
for i in range(len(asian_and_pacific_islander)):
cur_value = asian_and_pacific_islander[i]
cur_year = cur_value["Year"]
if cur_year == "2008":
y = cur_value["MeanIncome(currentDollars)"]
percentage_data.append({
'Race': 'Asian and Pacific Islander',
'2018': x,
'2008': y})
x = 0
y = 0
for i in range(len(hispanic)):
cur_value = hispanic[i]
cur_year = cur_value["Year"]
if cur_year == "2018":
x = cur_value["MeanIncome(currentDollars)"]
for i in range(len(hispanic)):
cur_value = hispanic[i]
cur_year = cur_value["Year"]
if cur_year == "2008":
y = cur_value["MeanIncome(currentDollars)"]
percentage_data.append({
'Race': 'Hispanic',
'2018': x,
'2008': y})
return json2html.convert(json = percentage_data)
#converts csv file with college degrees sorted by race into the same format as the income file
@app.route('/api/v1/resources/inequality_rates/degrees_by_race', methods=['GET'])
def api_degrees_by_race():
csvfile = open(data_file_dir + '/degrees_by_race.csv', 'r')
jsonfile = open('degrees_by_race.json', 'w')
fieldnames = ("Race", "Year", "Some college/associate's degree", "Bachelor's degree", "Advanced degree")
reader = csv.DictReader(csvfile, fieldnames)
out = json.dumps([row for row in reader])
jsonfile.write(out)
with open('C:/Users/anush/PycharmProjects/titanhacks/degrees_by_race.json') as f:
data = json.load(f)
data = data[21:]
x = []
for i in range(len(data)):
try:
y = int(data[i]["Year"])
x.append(data[i])
except ValueError:
if len(x)>1:
degrees.append(x)
x = []
return json2html.convert(json = degrees)
#returns a table that shows income and degree statistics side by side in for comparison
@app.route('/api/v1/resources/inequality_rates/comparison', methods=['GET'])
def api_comparison():
api_degrees_by_race()
api_2008_2018()
comparison = []
x = degrees[1][0]
y = degrees[1][len(degrees[1])-1]
x['Income'] = percentage_data[0]["2018"]
y['Income'] = percentage_data[0]["2008"]
comparison.append(x)
comparison.append(y)
x = degrees[2][0]
y = degrees[2][len(degrees[2])-1]
x['Income'] = percentage_data[1]["2018"]
y['Income'] = percentage_data[1]["2008"]
comparison.append(x)
comparison.append(y)
x = degrees[3][0]
y = degrees[3][len(degrees[3])-1]
x['Income'] = percentage_data[3]["2018"]
y['Income'] = percentage_data[3]["2008"]
comparison.append(x)
comparison.append(y)
x = degrees[4][0]
y = degrees[4][len(degrees[4])-1]
x['Income'] = percentage_data[4]["2018"]
y['Income'] = percentage_data[4]["2008"]
comparison.append(x)
comparison.append(y)
return json2html.convert(json = comparison)
app.run()