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{ | |
"settings": { | |
"analysis": { | |
"analyzer": { | |
"ngram_analyzer": { | |
"tokenizer": "ngram_tokenizer" | |
} | |
}, | |
"tokenizer": { | |
"ngram_tokenizer": { |
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{ | |
"settings": { | |
"analysis": { | |
"analyzer": { | |
"ngram_analyzer": { | |
"tokenizer": "ngram_tokenizer" | |
} | |
}, | |
"tokenizer": { | |
"ngram_tokenizer": { |
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{ | |
"settings": { | |
"analysis": { | |
"analyzer": { | |
"ngram_analyzer": { | |
"tokenizer": "ngram_tokenizer" | |
} | |
}, | |
"tokenizer": { | |
"ngram_tokenizer": { |
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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2929 | |
1001 | |
2280 | |
870 | |
149 | |
68 | |
1119 | |
1219 | |
211 | |
1069 |
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member | is_smoking | |
---|---|---|
A | 1 | |
B | 0 | |
C | 0 | |
D | 1 | |
E | 0 | |
F | 0 | |
G | 0 | |
H | 0 | |
I | 0 |
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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64 | |
90 | |
145 | |
152 | |
214 | |
93 | |
98 | |
66 | |
116 | |
129 |
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time | count | |
---|---|---|
0 | 42 | |
4 | 42 | |
8 | 42 | |
12 | 42 | |
16 | 41 | |
20 | 41 | |
24 | 41 | |
28 | 41 | |
32 | 41 |
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#!/usr/bin/env python | |
#-*- coding:utf-8 -*- | |
### Library | |
import MySQLdb | |
import pandas.io.sql as psql | |
import pandas as pd | |
import numpy as np | |
import MeCab | |
from gensim import corpora |
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[ | |
{ | |
"name": "log_time", | |
"type": "INTEGER" | |
}, | |
{ | |
"name": "created_at", | |
"type": "STRING" | |
}, | |
{ |
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[ | |
{ | |
"name": "log_time", | |
"type": "INTEGER" | |
}, | |
{ | |
"name": "created_at", | |
"type": "STRING" | |
}, | |
{ |
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