基于来自 nyc open data 的 311 服务请求的问题
Posted
技术标签:
【中文标题】基于来自 nyc open data 的 311 服务请求的问题【英文标题】：Problem based on 311 service request from nyc open data 【发布时间】：2022-01-24 04:55:47 【问题描述】：这是我的字典格式的一小部分数据。
'Unnamed: 0': 0: 0,
1: 1,
2: 2,
3: 3,
4: 4,
5: 5,
6: 6,
7: 7,
8: 8,
9: 9,
10: 10,
11: 11,
12: 12,
13: 13,
14: 14,
15: 15,
16: 16,
17: 17,
18: 18,
19: 19,
20: 20,
21: 21,
22: 22,
23: 23,
24: 24,
25: 25,
26: 26,
27: 27,
28: 28,
29: 29,
30: 30,
31: 31,
32: 32,
33: 33,
34: 34,
35: 35,
36: 36,
37: 37,
38: 38,
39: 39,
40: 40,
41: 41,
42: 42,
43: 43,
44: 44,
45: 45,
46: 46,
47: 47,
48: 48,
49: 49,
50: 50,
51: 51,
52: 52,
53: 53,
54: 54,
55: 55,
56: 56,
57: 57,
58: 58,
59: 59,
60: 60,
61: 61,
62: 62,
63: 63,
64: 64,
65: 65,
66: 66,
67: 67,
68: 68,
69: 69,
'Created Date': 0: '10/31/2013 02:08:41 AM',
1: '10/31/2013 02:01:04 AM',
2: '10/31/2013 02:00:24 AM',
3: '10/31/2013 01:56:23 AM',
4: '10/31/2013 01:53:44 AM',
5: '10/31/2013 01:46:52 AM',
6: '10/31/2013 01:46:40 AM',
7: '10/31/2013 01:44:19 AM',
8: '10/31/2013 01:44:14 AM',
9: '10/31/2013 01:34:41 AM',
10: '10/31/2013 01:25:12 AM',
11: '10/31/2013 01:24:14 AM',
12: '10/31/2013 01:20:57 AM',
13: '10/31/2013 01:20:13 AM',
14: '10/31/2013 01:19:54 AM',
15: '10/31/2013 01:14:02 AM',
16: '10/31/2013 12:54:03 AM',
17: '10/31/2013 12:52:46 AM',
18: '10/31/2013 12:51:00 AM',
19: '10/31/2013 12:46:27 AM',
20: '10/31/2013 12:43:47 AM',
21: '10/31/2013 12:41:17 AM',
22: '10/31/2013 12:39:55 AM',
23: '10/31/2013 12:38:00 AM',
24: '10/31/2013 12:37:16 AM',
25: '10/31/2013 12:35:18 AM',
26: '10/31/2013 12:33:00 AM',
27: '10/31/2013 12:32:44 AM',
28: '10/31/2013 12:32:08 AM',
29: '10/31/2013 12:32:00 AM',
30: '10/31/2013 12:31:17 AM',
31: '10/31/2013 12:30:36 AM',
32: '10/31/2013 12:30:31 AM',
33: '10/31/2013 12:29:47 AM',
34: '10/31/2013 12:28:30 AM',
35: '10/31/2013 12:23:24 AM',
36: '10/31/2013 12:23:00 AM',
37: '10/31/2013 12:20:44 AM',
38: '10/31/2013 12:20:00 AM',
39: '10/31/2013 12:19:48 AM',
40: '10/31/2013 12:18:05 AM',
41: '10/31/2013 12:16:25 AM',
42: '10/31/2013 12:15:06 AM',
43: '10/31/2013 12:14:42 AM',
44: '10/31/2013 12:12:08 AM',
45: '10/31/2013 12:11:58 AM',
46: '10/31/2013 12:09:07 AM',
47: '10/31/2013 12:08:47 AM',
48: '10/31/2013 12:07:45 AM',
49: '10/31/2013 12:05:10 AM',
50: '10/31/2013 12:04:50 AM',
51: '10/31/2013 12:03:27 AM',
52: '10/31/2013 12:02:01 AM',
53: '10/31/2013 12:01:47 AM',
54: '10/31/2013 12:01:45 AM',
55: '10/31/2013 12:01:34 AM',
56: '10/31/2013 12:01:00 AM',
57: '10/31/2013 12:00:00 AM',
58: '10/31/2013 12:00:00 AM',
59: '10/31/2013 12:00:00 AM',
60: '10/31/2013 12:00:00 AM',
61: '10/31/2013 12:00:00 AM',
62: '10/31/2013 12:00:00 AM',
63: '10/31/2013 12:00:00 AM',
64: '10/31/2013 12:00:00 AM',
65: '10/31/2013 12:00:00 AM',
66: '10/31/2013 12:00:00 AM',
67: '10/30/2013 11:58:43 PM',
68: '10/30/2013 11:57:57 PM',
69: '10/30/2013 11:57:00 PM',
'Closed Date': 0: nan,
1: nan,
2: '10/31/2013 02:40:32 AM',
3: '10/31/2013 02:21:48 AM',
4: nan,
5: nan,
6: nan,
7: '10/31/2013 01:58:49 AM',
8: '10/31/2013 02:28:04 AM',
9: '10/31/2013 02:23:51 AM',
10: nan,
11: '10/31/2013 01:54:39 AM',
12: '10/31/2013 02:12:31 AM',
13: nan,
14: nan,
15: '10/31/2013 01:30:34 AM',
16: '10/31/2013 02:16:39 AM',
17: nan,
18: nan,
19: nan,
20: '10/31/2013 12:56:20 AM',
21: '10/31/2013 01:04:37 AM',
22: nan,
23: nan,
24: nan,
25: '10/31/2013 02:41:35 AM',
26: nan,
27: nan,
28: nan,
29: nan,
30: '10/31/2013 02:41:36 AM',
31: nan,
32: nan,
33: '10/31/2013 12:38:29 AM',
34: '10/31/2013 02:06:11 AM',
35: '10/31/2013 01:05:41 AM',
36: nan,
37: '10/31/2013 02:10:24 AM',
38: nan,
39: nan,
40: '10/31/2013 01:26:15 AM',
41: nan,
42: '10/31/2013 03:00:20 AM',
43: '10/31/2013 01:39:00 AM',
44: '10/31/2013 01:13:45 AM',
45: '10/31/2013 01:54:38 AM',
46: '10/31/2013 12:53:12 AM',
47: nan,
48: '10/31/2013 01:43:11 AM',
49: '10/31/2013 02:43:43 AM',
50: '10/31/2013 01:09:38 AM',
51: nan,
52: '10/31/2013 01:02:28 AM',
53: '10/31/2013 12:39:31 AM',
54: '10/31/2013 12:02:37 AM',
55: '10/31/2013 01:32:43 AM',
56: nan,
57: nan,
58: nan,
59: nan,
60: nan,
61: nan,
62: nan,
63: nan,
64: nan,
65: nan,
66: nan,
67: nan,
68: nan,
69: '10/31/2013 01:09:39 AM',
'Agency': 0: 'NYPD',
1: 'NYPD',
2: 'NYPD',
3: 'NYPD',
4: 'DOHMH',
5: 'NYPD',
6: 'NYPD',
7: 'NYPD',
8: 'NYPD',
9: 'NYPD',
10: 'NYPD',
11: 'NYPD',
12: 'NYPD',
13: 'NYPD',
14: 'DOHMH',
15: 'NYPD',
16: 'NYPD',
17: 'NYPD',
18: 'DOT',
19: 'NYPD',
20: 'NYPD',
21: 'NYPD',
22: 'NYPD',
23: 'NYPD',
24: 'NYPD',
25: 'NYPD',
26: 'DOT',
27: 'DOHMH',
28: 'NYPD',
29: 'DOT',
30: 'NYPD',
31: 'NYPD',
32: 'TLC',
33: 'NYPD',
34: 'NYPD',
35: 'NYPD',
36: 'DOT',
37: 'NYPD',
38: 'DOT',
39: 'NYPD',
40: 'NYPD',
41: 'DOHMH',
42: 'NYPD',
43: 'NYPD',
44: 'NYPD',
45: 'NYPD',
46: 'NYPD',
47: 'TLC',
48: 'NYPD',
49: 'NYPD',
50: 'NYPD',
51: 'DOT',
52: 'NYPD',
53: 'NYPD',
54: 'HRA',
55: 'NYPD',
56: 'DSNY',
57: 'HPD',
58: 'HPD',
59: 'HPD',
60: 'HPD',
61: 'HPD',
62: 'HPD',
63: 'HPD',
64: 'HPD',
65: 'HPD',
66: 'HPD',
67: 'DOT',
68: 'DCA',
69: 'NYPD',
'Agency Name': 0: 'New York City Police Department',
1: 'New York City Police Department',
2: 'New York City Police Department',
3: 'New York City Police Department',
4: 'Department of Health and Mental Hygiene',
5: 'New York City Police Department',
6: 'New York City Police Department',
7: 'New York City Police Department',
8: 'New York City Police Department',
9: 'New York City Police Department',
10: 'New York City Police Department',
11: 'New York City Police Department',
12: 'New York City Police Department',
13: 'New York City Police Department',
14: 'Department of Health and Mental Hygiene',
15: 'New York City Police Department',
16: 'New York City Police Department',
17: 'New York City Police Department',
18: 'Department of Transportation',
19: 'New York City Police Department',
20: 'New York City Police Department',
21: 'New York City Police Department',
22: 'New York City Police Department',
23: 'New York City Police Department',
24: 'New York City Police Department',
25: 'New York City Police Department',
26: 'Department of Transportation',
27: 'Department of Health and Mental Hygiene',
28: 'New York City Police Department',
29: 'Department of Transportation',
30: 'New York City Police Department',
31: 'New York City Police Department',
32: 'Taxi and Limousine Commission',
33: 'New York City Police Department',
34: 'New York City Police Department',
35: 'New York City Police Department',
36: 'Department of Transportation',
37: 'New York City Police Department',
38: 'Department of Transportation',
39: 'New York City Police Department',
40: 'New York City Police Department',
41: 'Department of Health and Mental Hygiene',
42: 'New York City Police Department',
43: 'New York City Police Department',
44: 'New York City Police Department',
45: 'New York City Police Department',
46: 'New York City Police Department',
47: 'Taxi and Limousine Commission',
48: 'New York City Police Department',
49: 'New York City Police Department',
50: 'New York City Police Department',
51: 'Department of Transportation',
52: 'New York City Police Department',
53: 'New York City Police Department',
54: 'HRA Benefit Card Replacement',
55: 'New York City Police Department',
56: 'BCC - ***lyn South',
57: 'Department of Housing Preservation and Development',
58: 'Department of Housing Preservation and Development',
59: 'Department of Housing Preservation and Development',
60: 'Department of Housing Preservation and Development',
61: 'Department of Housing Preservation and Development',
62: 'Department of Housing Preservation and Development',
63: 'Department of Housing Preservation and Development',
64: 'Department of Housing Preservation and Development',
65: 'Department of Housing Preservation and Development',
66: 'Department of Housing Preservation and Development',
67: 'Department of Transportation',
68: 'Department of Consumer Affairs',
69: 'New York City Police Department',
'Complaint Type': 0: 'Noise - Street/Sidewalk',
1: 'Illegal Parking',
2: 'Noise - Commercial',
3: 'Noise - Vehicle',
4: 'Rodent',
5: 'Noise - Commercial',
6: 'Blocked Driveway',
7: 'Noise - Commercial',
8: 'Noise - Commercial',
9: 'Noise - Commercial',
10: 'Noise - House of Worship',
11: 'Noise - Commercial',
12: 'Illegal Parking',
13: 'Noise - Vehicle',
14: 'Rodent',
15: 'Noise - House of Worship',
16: 'Noise - Street/Sidewalk',
17: 'Illegal Parking',
18: 'Street Light Condition',
19: 'Noise - Commercial',
20: 'Noise - House of Worship',
21: 'Noise - Commercial',
22: 'Noise - Vehicle',
23: 'Noise - Commercial',
24: 'Blocked Driveway',
25: 'Noise - Street/Sidewalk',
26: 'Street Light Condition',
27: 'Harboring Bees/Wasps',
28: 'Noise - Street/Sidewalk',
29: 'Street Light Condition',
30: 'Blocked Driveway',
31: 'Noise - Street/Sidewalk',
32: 'Taxi Complaint',
33: 'Noise - House of Worship',
34: 'Homeless Encampment',
35: 'Blocked Driveway',
36: 'Traffic Signal Condition',
37: 'Noise - Commercial',
38: 'Traffic Signal Condition',
39: 'Blocked Driveway',
40: 'Noise - Commercial',
41: 'Food Establishment',
42: 'Noise - Commercial',
43: 'Noise - Commercial',
44: 'Noise - Park',
45: 'Noise - Street/Sidewalk',
46: 'Noise - Commercial',
47: 'Taxi Complaint',
48: 'Noise - Commercial',
49: 'Noise - Street/Sidewalk',
50: 'Noise - Commercial',
51: 'Broken Muni Meter',
52: 'Blocked Driveway',
53: 'Noise - Commercial',
54: 'Benefit Card Replacement',
55: 'Noise - Commercial',
56: 'Sanitation Condition',
57: 'ELECTRIC',
58: 'PLUMBING',
59: 'HEATING',
60: 'ELECTRIC',
61: 'HEATING',
62: 'HEATING',
63: 'GENERAL CONSTRUCTION',
64: 'HEATING',
65: 'ELECTRIC',
66: 'GENERAL CONSTRUCTION',
67: 'Street Condition',
68: 'Consumer Complaint',
69: 'Blocked Driveway',
'Descriptor': 0: 'Loud Talking',
1: 'Commercial Overnight Parking',
2: 'Loud Music/Party',
3: 'Car/Truck Horn',
4: 'Condition Attracting Rodents',
5: 'Banging/Pounding',
6: 'No Access',
7: 'Loud Music/Party',
8: 'Loud Talking',
9: 'Loud Music/Party',
10: 'Loud Music/Party',
11: 'Loud Music/Party',
12: 'Double Parked Blocking Vehicle',
13: 'Engine Idling',
14: 'Rat Sighting',
15: 'Loud Music/Party',
16: 'Loud Music/Party',
17: 'Posted Parking Sign Violation',
18: 'Street Light Out',
19: 'Loud Music/Party',
20: 'Loud Music/Party',
21: 'Banging/Pounding',
22: 'Car/Truck Music',
23: 'Loud Music/Party',
24: 'Partial Access',
25: 'Loud Talking',
26: 'Street Light Out',
27: 'Bees/Wasps - Not a beekeper',
28: 'Loud Talking',
29: 'Street Light Out',
30: 'No Access',
31: 'Loud Music/Party',
32: 'Driver Complaint',
33: 'Banging/Pounding',
34: nan,
35: 'No Access',
36: 'Controller',
37: 'Loud Music/Party',
38: 'Controller',
39: 'No Access',
40: 'Loud Music/Party',
41: 'Rodents/Insects/Garbage',
42: 'Loud Music/Party',
43: 'Loud Music/Party',
44: 'Loud Talking',
45: 'Loud Music/Party',
46: 'Loud Music/Party',
47: 'Driver Complaint',
48: 'Loud Music/Party',
49: 'Loud Talking',
50: 'Loud Music/Party',
51: 'No Receipt',
52: 'No Access',
53: 'Loud Music/Party',
54: 'Medicaid',
55: 'Loud Music/Party',
56: '15 Street Cond/Dump-Out/Drop-Off',
57: 'ELECTRIC-SUPPLY',
58: 'BASIN/SINK',
59: 'HEAT',
60: 'BELL-BUZZER/INTERCOM',
61: 'HEAT',
62: 'HEAT',
63: 'MAIL-BOX',
64: 'HEAT',
65: 'ELECTRIC-SUPPLY',
66: 'LOCKS',
67: 'Cave-in',
68: 'Exchange/Refund/Return',
69: 'Partial Access',
'Location Type': 0: 'Street/Sidewalk',
1: 'Street/Sidewalk',
2: 'Club/Bar/Restaurant',
3: 'Street/Sidewalk',
4: 'Vacant Lot',
5: 'Club/Bar/Restaurant',
6: 'Street/Sidewalk',
7: 'Club/Bar/Restaurant',
8: 'Club/Bar/Restaurant',
9: 'Club/Bar/Restaurant',
10: 'House of Worship',
11: 'Club/Bar/Restaurant',
12: 'Street/Sidewalk',
13: 'Street/Sidewalk',
14: '1-2 Family Mixed Use Building',
15: 'House of Worship',
16: 'Street/Sidewalk',
17: 'Street/Sidewalk',
18: nan,
19: 'Club/Bar/Restaurant',
20: 'House of Worship',
21: 'Store/Commercial',
22: 'Street/Sidewalk',
23: 'Club/Bar/Restaurant',
24: 'Street/Sidewalk',
25: 'Street/Sidewalk',
26: nan,
27: '3+ Family Mixed Use Building',
28: 'Street/Sidewalk',
29: nan,
30: 'Street/Sidewalk',
31: 'Street/Sidewalk',
32: nan,
33: 'House of Worship',
34: 'Residential Building/House',
35: 'Street/Sidewalk',
36: nan,
37: 'Club/Bar/Restaurant',
38: nan,
39: 'Street/Sidewalk',
40: 'Club/Bar/Restaurant',
41: 'Restaurant/Bar/Deli/Bakery',
42: 'Store/Commercial',
43: 'Club/Bar/Restaurant',
44: 'Park/Playground',
45: 'Street/Sidewalk',
46: 'Club/Bar/Restaurant',
47: nan,
48: 'Club/Bar/Restaurant',
49: 'Street/Sidewalk',
50: 'Store/Commercial',
51: 'Street',
52: 'Street/Sidewalk',
53: 'Club/Bar/Restaurant',
54: 'NYC Street Address',
55: 'Store/Commercial',
56: 'Street',
57: 'RESIDENTIAL BUILDING',
58: 'RESIDENTIAL BUILDING',
59: 'RESIDENTIAL BUILDING',
60: 'RESIDENTIAL BUILDING',
61: 'RESIDENTIAL BUILDING',
62: 'RESIDENTIAL BUILDING',
63: 'RESIDENTIAL BUILDING',
64: 'RESIDENTIAL BUILDING',
65: 'RESIDENTIAL BUILDING',
66: 'RESIDENTIAL BUILDING',
67: 'Street',
68: nan,
69: 'Street/Sidewalk',
'Incident Zip': 0: '11432.0',
1: '11378.0',
2: '10032.0',
3: '10023.0',
4: '10027.0',
5: '11372.0',
6: '11419.0',
7: '11417.0',
8: '10011.0',
9: '11225.0',
10: '11218.0',
11: '10003.0',
12: '10029.0',
13: '10466.0',
14: '11219.0',
15: '10025.0',
16: '10310.0',
17: '11236.0',
18: nan,
19: '10033.0',
20: '11216.0',
21: '10016.0',
22: '11419.0',
23: '11216.0',
24: '10305.0',
25: '10312.0',
26: nan,
27: '10025.0',
28: '10026.0',
29: '10309.0',
30: '10312.0',
31: '11236.0',
32: '10036.0',
33: '10025.0',
34: '10025.0',
35: '11433.0',
36: '11235.0',
37: '11216.0',
38: '11213.0',
39: '11379.0',
40: '11101.0',
41: '10014.0',
42: '11231.0',
43: '11234.0',
44: '10457.0',
45: '10459.0',
46: '10465.0',
47: '10036.0',
48: '10014.0',
49: '11225.0',
50: '10011.0',
51: '10003.0',
52: '11207.0',
53: '10002.0',
54: nan,
55: '10034.0',
56: '11231.0',
57: '11233.0',
58: '11233.0',
59: '10453.0',
60: '11233.0',
61: '10456.0',
62: '10469.0',
63: '11233.0',
64: '10032.0',
65: '11374.0',
66: '10033.0',
67: '11218.0',
68: '11221.0',
69: '11421.0',
'Address Type': 0: 'ADDRESS',
1: 'BLOCKFACE',
2: 'ADDRESS',
3: 'BLOCKFACE',
4: 'BLOCKFACE',
5: 'BLOCKFACE',
6: 'ADDRESS',
7: 'ADDRESS',
8: 'ADDRESS',
9: 'ADDRESS',
10: 'ADDRESS',
11: 'ADDRESS',
12: 'ADDRESS',
13: 'INTERSECTION',
14: 'BLOCKFACE',
15: 'INTERSECTION',
16: 'ADDRESS',
17: 'INTERSECTION',
18: 'ADDRESS',
19: 'INTERSECTION',
20: 'ADDRESS',
21: 'LATLONG',
22: 'INTERSECTION',
23: 'ADDRESS',
24: 'ADDRESS',
25: 'ADDRESS',
26: 'BLOCKFACE',
27: 'ADDRESS',
28: 'ADDRESS',
29: 'ADDRESS',
30: 'ADDRESS',
31: 'BLOCKFACE',
32: 'ADDRESS',
33: 'INTERSECTION',
34: 'ADDRESS',
35: 'ADDRESS',
36: 'INTERSECTION',
37: 'ADDRESS',
38: 'INTERSECTION',
39: 'ADDRESS',
40: 'ADDRESS',
41: 'ADDRESS',
42: 'LATLONG',
43: 'ADDRESS',
44: 'BLOCKFACE',
45: 'ADDRESS',
46: 'ADDRESS',
47: 'INTERSECTION',
48: 'ADDRESS',
49: 'ADDRESS',
50: 'LATLONG',
51: 'INTERSECTION',
52: 'ADDRESS',
53: 'ADDRESS',
54: nan,
55: 'LATLONG',
56: 'ADDRESS',
57: 'ADDRESS',
58: 'ADDRESS',
59: 'ADDRESS',
60: 'ADDRESS',
61: 'ADDRESS',
62: 'ADDRESS',
63: 'ADDRESS',
64: 'ADDRESS',
65: 'ADDRESS',
66: 'ADDRESS',
67: 'ADDRESS',
68: 'ADDRESS',
69: 'ADDRESS',
'City': 0: 'JAMAICA',
1: 'MASPETH',
2: 'NEW YORK',
3: 'NEW YORK',
4: 'NEW YORK',
5: 'JACKSON HEIGHTS',
6: 'SOUTH RICHMOND HILL',
7: 'OZONE PARK',
8: 'NEW YORK',
9: '***LYN',
10: '***LYN',
11: 'NEW YORK',
12: 'NEW YORK',
13: 'BRONX',
14: '***LYN',
15: 'NEW YORK',
16: 'STATEN ISLAND',
17: '***LYN',
18: nan,
19: 'NEW YORK',
20: '***LYN',
21: 'NEW YORK',
22: 'SOUTH RICHMOND HILL',
23: '***LYN',
24: 'STATEN ISLAND',
25: 'STATEN ISLAND',
26: nan,
27: 'NEW YORK',
28: 'NEW YORK',
29: 'STATEN ISLAND',
30: 'STATEN ISLAND',
31: '***LYN',
32: 'NEW YORK',
33: 'NEW YORK',
34: 'NEW YORK',
35: 'JAMAICA',
36: '***LYN',
37: '***LYN',
38: '***LYN',
39: 'MIDDLE VILLAGE',
40: 'LONG ISLAND CITY',
41: 'NEW YORK',
42: '***LYN',
43: '***LYN',
44: 'BRONX',
45: 'BRONX',
46: 'BRONX',
47: 'NEW YORK',
48: 'NEW YORK',
49: '***LYN',
50: 'NEW YORK',
51: 'NEW YORK',
52: '***LYN',
53: 'NEW YORK',
54: nan,
55: 'NEW YORK',
56: '***LYN',
57: '***LYN',
58: '***LYN',
59: 'BRONX',
60: '***LYN',
61: 'BRONX',
62: 'BRONX',
63: '***LYN',
64: 'NEW YORK',
65: 'Rego Park',
66: 'NEW YORK',
67: '***LYN',
68: '***LYN',
69: 'WOODHAVEN',
'Landmark': 0: nan,
1: nan,
2: nan,
3: nan,
4: nan,
5: nan,
6: nan,
7: nan,
8: nan,
9: nan,
10: nan,
11: nan,
12: nan,
13: nan,
14: nan,
15: nan,
16: nan,
17: nan,
18: nan,
19: nan,
20: nan,
21: nan,
22: nan,
23: nan,
24: nan,
25: nan,
26: nan,
27: nan,
28: nan,
29: nan,
30: nan,
31: nan,
32: nan,
33: nan,
34: nan,
35: nan,
36: nan,
37: nan,
38: nan,
39: nan,
40: nan,
41: nan,
42: nan,
43: nan,
44: nan,
45: nan,
46: nan,
47: nan,
48: nan,
49: nan,
50: nan,
51: nan,
52: nan,
53: nan,
54: nan,
55: nan,
56: nan,
57: nan,
58: nan,
59: nan,
60: nan,
61: nan,
62: nan,
63: nan,
64: nan,
65: nan,
66: nan,
67: nan,
68: nan,
69: nan,
'Status': 0: 'Assigned',
1: 'Open',
2: 'Closed',
3: 'Closed',
4: 'Pending',
5: 'Open',
6: 'Assigned',
7: 'Closed',
8: 'Closed',
9: 'Closed',
10: 'Open',
11: 'Closed',
12: 'Closed',
13: 'Open',
14: 'Pending',
15: 'Closed',
16: 'Closed',
17: 'Open',
18: 'Open',
19: 'Assigned',
20: 'Closed',
21: 'Closed',
22: 'Open',
23: 'Assigned',
24: 'Assigned',
25: 'Closed',
26: 'Open',
27: 'Open',
28: 'Assigned',
29: 'Open',
30: 'Closed',
31: 'Open',
32: 'Open',
33: 'Closed',
34: 'Closed',
35: 'Closed',
36: 'Open',
37: 'Closed',
38: 'Open',
39: 'Open',
40: 'Closed',
41: 'Open',
42: 'Closed',
43: 'Closed',
44: 'Closed',
45: 'Closed',
46: 'Closed',
47: 'Open',
48: 'Closed',
49: 'Closed',
50: 'Closed',
51: 'Open',
52: 'Closed',
53: 'Closed',
54: 'Closed',
55: 'Closed',
56: 'Open',
57: 'Open',
58: 'Open',
59: 'Open',
60: 'Open',
61: 'Open',
62: 'Open',
63: 'Open',
64: 'Open',
65: 'Open',
66: 'Open',
67: 'Open',
68: 'Open',
69: 'Closed',
'Borough': 0: 'QUEENS',
1: 'QUEENS',
2: 'MANHATTAN',
3: 'MANHATTAN',
4: 'MANHATTAN',
5: 'QUEENS',
6: 'QUEENS',
7: 'QUEENS',
8: 'MANHATTAN',
9: '***LYN',
10: '***LYN',
11: 'MANHATTAN',
12: 'MANHATTAN',
13: 'BRONX',
14: '***LYN',
15: 'MANHATTAN',
16: 'STATEN ISLAND',
17: '***LYN',
18: '***LYN',
19: 'MANHATTAN',
20: '***LYN',
21: 'MANHATTAN',
22: 'QUEENS',
23: '***LYN',
24: 'STATEN ISLAND',
25: 'STATEN ISLAND',
26: '***LYN',
27: 'MANHATTAN',
28: 'MANHATTAN',
29: 'STATEN ISLAND',
30: 'STATEN ISLAND',
31: '***LYN',
32: 'MANHATTAN',
33: 'MANHATTAN',
34: 'MANHATTAN',
35: 'QUEENS',
36: '***LYN',
37: '***LYN',
38: '***LYN',
39: 'QUEENS',
40: 'QUEENS',
41: 'MANHATTAN',
42: '***LYN',
43: '***LYN',
44: 'BRONX',
45: 'BRONX',
46: 'BRONX',
47: 'MANHATTAN',
48: 'MANHATTAN',
49: '***LYN',
50: 'MANHATTAN',
51: 'MANHATTAN',
52: '***LYN',
53: 'MANHATTAN',
54: 'Unspecified',
55: 'MANHATTAN',
56: '***LYN',
57: '***LYN',
58: '***LYN',
59: 'BRONX',
60: '***LYN',
61: 'BRONX',
62: 'BRONX',
63: '***LYN',
64: 'MANHATTAN',
65: 'QUEENS',
66: 'MANHATTAN',
67: '***LYN',
68: '***LYN',
69: 'QUEENS'
我想找出投诉次数最多的那一天。输出应该是这样的：
October-24-Thursday
为一周中的每一天的号码投诉类型制作一个表格。只做这个分析 前 10 名最常见的投诉。
Complaint Type Blocked DOF Literature General Heating Illegal street
day Driveway Request Constructions packing condition
Friday 613 1035 963 2384 593 1357
Monday 720 1120 1425 1621 736 1432
Tuesday 628 170 475 1596 836 624
Wednesday 689 74 310 1316 846 623
thursday 689 830 1121 436 252 975
saturday 556 1288 1600 243 1412 145
Sunday 670 1280 1577 245 1234 1612
谁能帮我解决这个问题。我是 pandas 和 python 的新手。
Unnamed: 0 Created Date Closed Date Agency Agency Name Complaint Type Descriptor Location Type Incident Zip Address Type City Landmark Status Borough
0 0 10/31/2013 02:08:41 AM NaN NYPD New York City Police Department Noise - Street/Sidewalk Loud Talking Street/Sidewalk 11432.0 ADDRESS JAMAICA NaN Assigned QUEENS
1 1 10/31/2013 02:01:04 AM NaN NYPD New York City Police Department Illegal Parking Commercial Overnight Parking Street/Sidewalk 11378.0 BLOCKFACE MASPETH NaN Open QUEENS
2 2 10/31/2013 02:00:24 AM 10/31/2013 02:40:32 AM NYPD New York City Police Department Noise - Commercial Loud Music/Party Club/Bar/Restaurant 10032.0 ADDRESS NEW YORK NaN Closed MANHATTAN
3 3 10/31/2013 01:56:23 AM 10/31/2013 02:21:48 AM NYPD New York City Police Department Noise - Vehicle Car/Truck Horn Street/Sidewalk 10023.0 BLOCKFACE NEW YORK NaN Closed MANHATTAN
4 4 10/31/2013 01:53:44 AM NaN DOHMH Department of Health and Mental Hygiene Rodent Condition Attracting Rodents Vacant Lot 10027.0 BLOCKFACE NEW YORK NaN Pending MANHATTAN
... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
65 65 10/31/2013 12:00:00 AM NaN HPD Department of Housing Preservation and Develop... ELECTRIC ELECTRIC-SUPPLY RESIDENTIAL BUILDING 11374.0 ADDRESS Rego Park NaN Open QUEENS
【问题讨论】：
你能解释一下投诉最多的日子吗？仅从Created Date 列计算？还是介于 Created Date 和 Closed Date 之间？如果Closed Date 是NaN 表示投诉到今天还在？
列状态有开启和关闭值
不幸的是问题真的不清楚。
我应该把 csv 文件邮寄给你吗？
不，请创建 10 行有问题的样本数据并从中获得预期的输出。它应该有帮助。检查how to provide a great pandas example
【参考方案1】：
投诉最多的一天可以这样找到。
def problem5a(path):
df=pd.read_csv('311-service-requests.csv')
df['Created Date'] = pd.to_datetime(df['Created Date'])
df['Day of Week'] = df['Created Date'].dt.day_name()
df['Month of Year'] = df['Created Date'].dt.month_name()
a=df['Created Date'].value_counts().idxmax()
most_complaints_data = df[df['Created Date']==a]
day = most_complaints_data['Day of Week'].unique()
month = most_complaints_data['Month of Year'].unique()
return month+' '+str(a.day)+' '+day
问题的第二部分可以这样完成
def problem5b(path):
df=pd.read_csv('311-service-requests.csv')
df['Created Date'] = pd.to_datetime(df['Created Date'])
df['Day of Week'] = df['Created Date'].dt.day_name()
df['Complaint Type'].value_counts()[:10]
b=df['Complaint Type'].value_counts()[:10].index.tolist()
top_10 = df[(df['Complaint Type']==b[0]) | (df['Complaint Type']==b[1]) |(df['Complaint Type']==b[2]) |(df['Complaint Type']==b[3]) |
(df['Complaint Type']==b[4]) | (df['Complaint Type']==b[5]) | (df['Complaint Type']==b[6]) | (df['Complaint Type']==b[7]) |
(df['Complaint Type']==b[8]) | (df['Complaint Type']==b[9])]
top_10['Complaint Type'].unique()
list1 = []
for i in top_10.columns:
list1.append((i,top_10[i].unique()))
week_days = ['Monday','Tuesday','Wednusday','Thursday','Friday','Saturday','Sunday']
new_df = df[['Complaint Type','Day of Week']]
list_comp = df['Complaint Type'].unique()
list_day = df['Day of Week'].unique()
df_1 = pd.DataFrame(new_df[(new_df['Day of Week']==list_day[0]) & (new_df['Complaint Type']== list_comp [0])])
complaint_list=['Blocked Driveway','DOF Literature Request','GENERAL CONSTRUCTION','HEATING','Illegal Parking','NONCONST','PAINT - PLASTER','PLUMBING','Street Condition','Street Light Condition']
comp_day = top_10.groupby(['Day of Week','Complaint Type']).size().unstack()
comp_day = comp_day[complaint_list]
return comp_day
【讨论】：
以上是关于基于来自 nyc open data 的 311 服务请求的问题的主要内容，如果未能解决你的问题，请参考以下文章
json 圣 - 弗朗西斯科 - open311-的OpenAPI
CF with friends and user's influence considered on NYC data(updated Aug,11st)