"
- ],
- "text/plain": [
- " name addr city type postal lat \\\n",
- "4 art deli 12224 ventura blvd. studio city delis 91604 34.142966 \n",
- "5 art deli 12224 ventura blvd. los angeles delis 91604 34.142966 \n",
- "\n",
- " lng addr_variations \n",
- "4 -118.399469 (12224 ventura boulevard) \n",
- "5 -118.399469 (12224 ventura boulevard) "
- ]
- },
- "metadata": {},
- "output_type": "display_data"
+ "ename": "KeyError",
+ "evalue": "'the label [3] is not in the [index]'",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m 1789\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontains\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1790\u001b[0;31m \u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1791\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36merror\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1784\u001b[0m .format(key=key,\n\u001b[0;32m-> 1785\u001b[0;31m axis=self.obj._get_axis_name(axis)))\n\u001b[0m\u001b[1;32m 1786\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mKeyError\u001b[0m: 'the label [3] is not in the [index]'",
+ "\nDuring handling of the above exception, another exception occurred:\n",
+ "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"matched:\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmatches\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1470\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mKeyError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1471\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1472\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1473\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1474\u001b[0m \u001b[0;31m# we by definition only have the 0th axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m 868\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 869\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 870\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_lowerdim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 871\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mIndexingError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 872\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_lowerdim\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m 996\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 997\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_label_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 998\u001b[0;31m \u001b[0msection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 999\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1000\u001b[0m \u001b[0;31m# we have yielded a scalar ?\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m 1909\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1910\u001b[0m \u001b[0;31m# fall thru to straight lookup\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1911\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1912\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_key\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m 1796\u001b[0m \u001b[0;32mraise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1797\u001b[0m \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1798\u001b[0;31m \u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1799\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1800\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/workspace/deduplication-slides/venv/lib/python3.6/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36merror\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1783\u001b[0m raise KeyError(u\"the label [{key}] is not in the [{axis}]\"\n\u001b[1;32m 1784\u001b[0m .format(key=key,\n\u001b[0;32m-> 1785\u001b[0;31m axis=self.obj._get_axis_name(axis)))\n\u001b[0m\u001b[1;32m 1786\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1787\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mKeyError\u001b[0m: 'the label [3] is not in the [index]'"
+ ]
}
],
"source": [
@@ -3753,35 +3713,35 @@
" \n",
" \n",
"
\n",
- "
156
\n",
- "
palace court
\n",
- "
3570 las vegas blvd. s
\n",
- "
las vegas
\n",
- "
continental
\n",
- "
36.116156
\n",
- "
-115.175058
\n",
+ "
198
\n",
+ "
ritz carlton dining room buckhead
\n",
+ "
3434 peachtree rd. ne
\n",
+ "
atlanta
\n",
+ "
american (new)
\n",
+ "
33.850807
\n",
+ "
-84.364227
\n",
"
\n",
"
\n",
- "
562
\n",
- "
cafe roma
\n",
- "
3570 las vegas blvd. s
\n",
- "
las vegas
\n",
- "
coffee shops/diners
\n",
- "
36.116156
\n",
- "
-115.175058
\n",
+ "
196
\n",
+ "
ritz carlton cafe buckhead
\n",
+ "
3434 peachtree rd. ne
\n",
+ "
atlanta
\n",
+ "
american (new)
\n",
+ "
33.850807
\n",
+ "
-84.364227
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type \\\n",
- "156 palace court 3570 las vegas blvd. s las vegas continental \n",
- "562 cafe roma 3570 las vegas blvd. s las vegas coffee shops/diners \n",
+ " name addr city \\\n",
+ "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
+ "196 ritz carlton cafe buckhead 3434 peachtree rd. ne atlanta \n",
"\n",
- " lat lng \n",
- "156 36.116156 -115.175058 \n",
- "562 36.116156 -115.175058 "
+ " type lat lng \n",
+ "198 american (new) 33.850807 -84.364227 \n",
+ "196 american (new) 33.850807 -84.364227 "
]
},
"metadata": {},
@@ -3818,35 +3778,35 @@
" \n",
" \n",
"
\n",
- "
157
\n",
- "
palace court
\n",
- "
3570 las vegas blvd. s.
\n",
- "
las vegas
\n",
- "
french (new)
\n",
- "
36.116156
\n",
- "
-115.175058
\n",
+ "
329
\n",
+ "
cafe botanica
\n",
+ "
160 central park s
\n",
+ "
new york
\n",
+ "
french
\n",
+ "
40.766016
\n",
+ "
-73.978641
\n",
"
\n",
"
\n",
- "
562
\n",
- "
cafe roma
\n",
- "
3570 las vegas blvd. s
\n",
- "
las vegas
\n",
- "
coffee shops/diners
\n",
- "
36.116156
\n",
- "
-115.175058
\n",
+ "
99
\n",
+ "
les celebrites
\n",
+ "
160 central park s
\n",
+ "
new york
\n",
+ "
french
\n",
+ "
40.766016
\n",
+ "
-73.978641
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type \\\n",
- "157 palace court 3570 las vegas blvd. s. las vegas french (new) \n",
- "562 cafe roma 3570 las vegas blvd. s las vegas coffee shops/diners \n",
+ " name addr city type lat \\\n",
+ "329 cafe botanica 160 central park s new york french 40.766016 \n",
+ "99 les celebrites 160 central park s new york french 40.766016 \n",
"\n",
- " lat lng \n",
- "157 36.116156 -115.175058 \n",
- "562 36.116156 -115.175058 "
+ " lng \n",
+ "329 -73.978641 \n",
+ "99 -73.978641 "
]
},
"metadata": {},
@@ -3883,35 +3843,35 @@
" \n",
" \n",
"
\n",
- "
196
\n",
- "
ritz carlton cafe buckhead
\n",
- "
3434 peachtree rd. ne
\n",
+ "
839
\n",
+ "
ritz carlton cafe atlanta
\n",
+ "
181 peachtree st.
\n",
"
atlanta
\n",
"
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
33.758579
\n",
+ "
-84.387066
\n",
"
\n",
"
\n",
- "
198
\n",
- "
ritz carlton dining room buckhead
\n",
- "
3434 peachtree rd. ne
\n",
+ "
199
\n",
+ "
restaurant ritz carlton atlanta
\n",
+ "
181 peachtree st.
\n",
"
atlanta
\n",
- "
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
continental
\n",
+ "
33.758579
\n",
+ "
-84.387066
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "196 ritz carlton cafe buckhead 3434 peachtree rd. ne atlanta \n",
- "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
+ " name addr city \\\n",
+ "839 ritz carlton cafe atlanta 181 peachtree st. atlanta \n",
+ "199 restaurant ritz carlton atlanta 181 peachtree st. atlanta \n",
"\n",
" type lat lng \n",
- "196 american (new) 33.850807 -84.364227 \n",
- "198 american (new) 33.850807 -84.364227 "
+ "839 american (new) 33.758579 -84.387066 \n",
+ "199 continental 33.758579 -84.387066 "
]
},
"metadata": {},
@@ -3948,35 +3908,35 @@
" \n",
" \n",
"
\n",
- "
199
\n",
- "
restaurant ritz carlton atlanta
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
continental
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
+ "
562
\n",
+ "
cafe roma
\n",
+ "
3570 las vegas blvd. s
\n",
+ "
las vegas
\n",
+ "
coffee shops/diners
\n",
+ "
36.116156
\n",
+ "
-115.175058
\n",
"
\n",
"
\n",
- "
839
\n",
- "
ritz carlton cafe atlanta
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
american (new)
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
- "
\n",
- " \n",
+ "
157
\n",
+ "
palace court
\n",
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- "
-118.381096
\n",
+ "
169
\n",
+ "
bone restaurant
\n",
+ "
3130 piedmont rd. ne
\n",
+ "
atlanta
\n",
+ "
steakhouses
\n",
+ "
33.842103
\n",
+ "
-84.371103
\n",
"
\n",
"
\n",
- "
37
\n",
- "
locanda
\n",
- "
w. third st.
\n",
- "
st los angeles
\n",
- "
italian
\n",
- "
34.068958
\n",
- "
-118.320928
\n",
+ "
168
\n",
+ "
bone
\n",
+ "
3130 piedmont road
\n",
+ "
atlanta
\n",
+ "
american
\n",
+ "
33.842103
\n",
+ "
-84.371103
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type lat \\\n",
- "36 locanda veneta 8638 w 3rd st los angeles italian 34.073417 \n",
- "37 locanda w. third st. st los angeles italian 34.068958 \n",
+ " name addr city type lat \\\n",
+ "169 bone restaurant 3130 piedmont rd. ne atlanta steakhouses 33.842103 \n",
+ "168 bone 3130 piedmont road atlanta american 33.842103 \n",
"\n",
" lng \n",
- "36 -118.381096 \n",
- "37 -118.320928 "
+ "169 -84.371103 \n",
+ "168 -84.371103 "
]
},
"metadata": {},
@@ -4825,35 +4785,35 @@
" \n",
" \n",
"
\n",
- "
168
\n",
- "
bone
\n",
- "
3130 piedmont road
\n",
+ "
194
\n",
+ "
pano paul
\n",
+ "
1232 west paces ferry rd nw
\n",
"
atlanta
\n",
- "
american
\n",
- "
33.842103
\n",
- "
-84.371103
\n",
+ "
american (new)
\n",
+ "
33.849291
\n",
+ "
-84.428089
\n",
"
\n",
"
\n",
- "
169
\n",
- "
bone restaurant
\n",
- "
3130 piedmont rd. ne
\n",
+ "
193
\n",
+ "
pano paul
\n",
+ "
1232 w. paces ferry rd.
\n",
"
atlanta
\n",
- "
steakhouses
\n",
- "
33.842103
\n",
- "
-84.371103
\n",
+ "
american (new)
\n",
+ "
33.849291
\n",
+ "
-84.428089
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type lat \\\n",
- "168 bone 3130 piedmont road atlanta american 33.842103 \n",
- "169 bone restaurant 3130 piedmont rd. ne atlanta steakhouses 33.842103 \n",
+ " name addr city type \\\n",
+ "194 pano paul 1232 west paces ferry rd nw atlanta american (new) \n",
+ "193 pano paul 1232 w. paces ferry rd. atlanta american (new) \n",
"\n",
- " lng \n",
- "168 -84.371103 \n",
- "169 -84.371103 "
+ " lat lng \n",
+ "194 33.849291 -84.428089 \n",
+ "193 33.849291 -84.428089 "
]
},
"metadata": {},
@@ -5352,7 +5312,7 @@
"
None
\n",
"
34.068958
\n",
"
-118.320928
\n",
- "
(3rd street, 3rd saint, 3 street, 3 saint)
\n",
+ "
(3rd saint, 3 street, 3rd street, 3 saint)
\n",
" \n",
"
\n",
"
1
\n",
@@ -5364,7 +5324,7 @@
"
90048
\n",
"
34.073417
\n",
"
-118.381096
\n",
- "
(8638 w 3 street, 8638 west 3rd street, 8638 w...
\n",
+ "
(8638 w 3rd street, 8638 west 3rd saint, 8638 ...
\n",
"
\n",
"
\n",
"
2
\n",
@@ -5376,7 +5336,7 @@
"
None
\n",
"
NaN
\n",
"
NaN
\n",
- "
(8638 w 3 street, 8638 west 3rd street, 8638 w...
\n",
+ "
(8638 w 3rd street, 8638 west 3rd saint, 8638 ...
\n",
"
\n",
"
\n",
"
3
\n",
@@ -5388,7 +5348,7 @@
"
10024
\n",
"
40.785981
\n",
"
-73.976727
\n",
- "
(201 west 83 saint, 201 west 83rd saint, 201 w...
\n",
+ "
(201 west 83rd street, 201 w 83rd street, 201 ...
\n",
"
\n",
"
\n",
"
4
\n",
@@ -5400,7 +5360,7 @@
"
10024
\n",
"
40.785981
\n",
"
-73.976727
\n",
- "
(201 west 83 saint, 201 west 83rd saint, 201 w...
\n",
+ "
(201 west 83rd street, 201 w 83rd street, 201 ...
\n",
"
\n",
" \n",
"\n",
@@ -5422,11 +5382,11 @@
"4 10024 40.785981 -73.976727 \n",
"\n",
" addr_variations \n",
- "0 (3rd street, 3rd saint, 3 street, 3 saint) \n",
- "1 (8638 w 3 street, 8638 west 3rd street, 8638 w... \n",
- "2 (8638 w 3 street, 8638 west 3rd street, 8638 w... \n",
- "3 (201 west 83 saint, 201 west 83rd saint, 201 w... \n",
- "4 (201 west 83 saint, 201 west 83rd saint, 201 w... "
+ "0 (3rd saint, 3 street, 3rd street, 3 saint) \n",
+ "1 (8638 w 3rd street, 8638 west 3rd saint, 8638 ... \n",
+ "2 (8638 w 3rd street, 8638 west 3rd saint, 8638 ... \n",
+ "3 (201 west 83rd street, 201 w 83rd street, 201 ... \n",
+ "4 (201 west 83rd street, 201 w 83rd street, 201 ... "
]
},
"execution_count": 51,
@@ -5461,7 +5421,15 @@
"slide_type": "slide"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "WARNING:recordlinkage:indexing - performance warning - A full index can result in large number of record pairs.\n"
+ ]
+ }
+ ],
"source": [
"all_training_index = rl.FullIndex().index(df_training)\n",
"matches_training_index = rl.BlockIndex('cluster').index(df_training)\n",
@@ -5570,15 +5538,6 @@
" \n",
" \n",
"
\n",
- "
643
\n",
- "
stars
\n",
- "
150 redwood alley
\n",
- "
san francisco
\n",
- "
american
\n",
- "
37.780894
\n",
- "
-122.419481
\n",
- "
\n",
- "
\n",
"
644
\n",
"
stars cafe
\n",
"
500 van ness ave.
\n",
@@ -5587,18 +5546,27 @@
"
37.780298
\n",
"
-122.420002
\n",
"
\n",
+ "
\n",
+ "
643
\n",
+ "
stars
\n",
+ "
150 redwood alley
\n",
+ "
san francisco
\n",
+ "
american
\n",
+ "
37.780894
\n",
+ "
-122.419481
\n",
+ "
\n",
" \n",
"\n",
""
],
"text/plain": [
" name addr city type lat \\\n",
- "643 stars 150 redwood alley san francisco american 37.780894 \n",
"644 stars cafe 500 van ness ave. san francisco american 37.780298 \n",
+ "643 stars 150 redwood alley san francisco american 37.780894 \n",
"\n",
" lng \n",
- "643 -122.419481 \n",
- "644 -122.420002 "
+ "644 -122.420002 \n",
+ "643 -122.419481 "
]
},
"metadata": {},
@@ -5669,20 +5637,20 @@
" \n",
" \n",
"
\n",
- "
40
\n",
- "
palm
\n",
+ "
41
\n",
+ "
palm los angeles
\n",
"
9001 santa monica blvd.
\n",
- "
los angeles
\n",
- "
american
\n",
+ "
w. hollywood
\n",
+ "
steakhouses
\n",
"
34.083064
\n",
"
-118.387282
\n",
"
\n",
"
\n",
- "
41
\n",
- "
palm los angeles
\n",
+ "
40
\n",
+ "
palm
\n",
"
9001 santa monica blvd.
\n",
- "
w. hollywood
\n",
- "
steakhouses
\n",
+ "
los angeles
\n",
+ "
american
\n",
"
34.083064
\n",
"
-118.387282
\n",
"
\n",
@@ -5692,12 +5660,12 @@
],
"text/plain": [
" name addr city type \\\n",
- "40 palm 9001 santa monica blvd. los angeles american \n",
"41 palm los angeles 9001 santa monica blvd. w. hollywood steakhouses \n",
+ "40 palm 9001 santa monica blvd. los angeles american \n",
"\n",
" lat lng \n",
- "40 34.083064 -118.387282 \n",
- "41 34.083064 -118.387282 "
+ "41 34.083064 -118.387282 \n",
+ "40 34.083064 -118.387282 "
]
},
"metadata": {},
@@ -5734,8 +5702,8 @@
" \n",
" \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr \\\n",
- "337 caffe lure 169 sullivan st. between houston and bleecker... \n",
- "338 caffe reggio 119 macdougal st. between 3rd and bleecker sts. \n",
+ " name addr \\\n",
+ "170 brasserie coze 3393 peachtree rd. lenox square mall near ne... \n",
+ "171 brasserie coze 3393 peachtree rd. \n",
"\n",
- " city type lat lng \n",
- "337 new york french 40.727928 -74.000985 \n",
- "338 new york coffee bar 40.730308 -74.000371 "
- ]
+ " city type lat lng \n",
+ "170 atlanta french 33.846181 -84.364109 \n",
+ "171 atlanta french bistro 33.846869 -84.362512 "
+ ]
},
"metadata": {},
"output_type": "display_data"
@@ -6755,35 +6723,35 @@
" \n",
" \n",
"
\n",
- "
762
\n",
- "
palm
\n",
- "
837 second ave.
\n",
- "
new york city
\n",
- "
steakhouses
\n",
- "
40.751701
\n",
- "
-73.971180
\n",
+ "
156
\n",
+ "
palace court
\n",
+ "
3570 las vegas blvd. s
\n",
+ "
las vegas
\n",
+ "
continental
\n",
+ "
36.116156
\n",
+ "
-115.175058
\n",
"
\n",
"
\n",
- "
763
\n",
- "
palm too
\n",
- "
840 second ave.
\n",
- "
new york city
\n",
- "
steakhouses
\n",
- "
40.751467
\n",
- "
-73.970686
\n",
+ "
157
\n",
+ "
palace court
\n",
+ "
3570 las vegas blvd. s.
\n",
+ "
las vegas
\n",
+ "
french (new)
\n",
+ "
36.116156
\n",
+ "
-115.175058
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type lat \\\n",
- "762 palm 837 second ave. new york city steakhouses 40.751701 \n",
- "763 palm too 840 second ave. new york city steakhouses 40.751467 \n",
+ " name addr city type \\\n",
+ "156 palace court 3570 las vegas blvd. s las vegas continental \n",
+ "157 palace court 3570 las vegas blvd. s. las vegas french (new) \n",
"\n",
- " lng \n",
- "762 -73.971180 \n",
- "763 -73.970686 "
+ " lat lng \n",
+ "156 36.116156 -115.175058 \n",
+ "157 36.116156 -115.175058 "
]
},
"metadata": {},
@@ -6820,35 +6788,35 @@
" \n",
" \n",
"
\n",
- "
196
\n",
- "
ritz carlton cafe buckhead
\n",
- "
3434 peachtree rd. ne
\n",
+ "
164
\n",
+ "
abruzzi
\n",
+ "
2355 peachtree rd. peachtree battle shopping ...
\n",
"
atlanta
\n",
- "
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
italian
\n",
+ "
33.820137
\n",
+ "
-84.387280
\n",
"
\n",
"
\n",
- "
198
\n",
- "
ritz carlton dining room buckhead
\n",
- "
3434 peachtree rd. ne
\n",
+ "
165
\n",
+ "
abruzzi
\n",
+ "
2355 peachtree rd. ne
\n",
"
atlanta
\n",
- "
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
italian
\n",
+ "
33.824647
\n",
+ "
-84.387453
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "196 ritz carlton cafe buckhead 3434 peachtree rd. ne atlanta \n",
- "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
+ " name addr city \\\n",
+ "164 abruzzi 2355 peachtree rd. peachtree battle shopping ... atlanta \n",
+ "165 abruzzi 2355 peachtree rd. ne atlanta \n",
"\n",
- " type lat lng \n",
- "196 american (new) 33.850807 -84.364227 \n",
- "198 american (new) 33.850807 -84.364227 "
+ " type lat lng \n",
+ "164 italian 33.820137 -84.387280 \n",
+ "165 italian 33.824647 -84.387453 "
]
},
"metadata": {},
@@ -6885,35 +6853,35 @@
" \n",
" \n",
"
\n",
- "
335
\n",
- "
caffe dante
\n",
- "
81 macdougal st. between houston and bleeker ...
\n",
- "
new york
\n",
- "
coffee bar
\n",
- "
40.728878
\n",
- "
-74.001662
\n",
+ "
40
\n",
+ "
palm
\n",
+ "
9001 santa monica blvd.
\n",
+ "
los angeles
\n",
+ "
american
\n",
+ "
34.083064
\n",
+ "
-118.387282
\n",
"
\n",
"
\n",
- "
338
\n",
- "
caffe reggio
\n",
- "
119 macdougal st. between 3rd and bleecker sts.
\n",
- "
new york
\n",
- "
coffee bar
\n",
- "
40.730308
\n",
- "
-74.000371
\n",
+ "
41
\n",
+ "
palm los angeles
\n",
+ "
9001 santa monica blvd.
\n",
+ "
w. hollywood
\n",
+ "
steakhouses
\n",
+ "
34.083064
\n",
+ "
-118.387282
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr \\\n",
- "335 caffe dante 81 macdougal st. between houston and bleeker ... \n",
- "338 caffe reggio 119 macdougal st. between 3rd and bleecker sts. \n",
+ " name addr city type \\\n",
+ "40 palm 9001 santa monica blvd. los angeles american \n",
+ "41 palm los angeles 9001 santa monica blvd. w. hollywood steakhouses \n",
"\n",
- " city type lat lng \n",
- "335 new york coffee bar 40.728878 -74.001662 \n",
- "338 new york coffee bar 40.730308 -74.000371 "
+ " lat lng \n",
+ "40 34.083064 -118.387282 \n",
+ "41 34.083064 -118.387282 "
]
},
"metadata": {},
@@ -6950,35 +6918,35 @@
" \n",
" \n",
"
\n",
- "
195
\n",
- "
cafe ritz carlton buckhead
\n",
- "
3434 peachtree rd.
\n",
- "
atlanta
\n",
- "
ext 6108 international
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
18
\n",
+ "
citrus
\n",
+ "
6703 melrose ave.
\n",
+ "
los angeles
\n",
+ "
californian
\n",
+ "
34.083708
\n",
+ "
-118.33994
\n",
"
\n",
"
\n",
- "
198
\n",
- "
ritz carlton dining room buckhead
\n",
- "
3434 peachtree rd. ne
\n",
- "
atlanta
\n",
- "
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
19
\n",
+ "
citrus
\n",
+ "
6703 melrose avenue
\n",
+ "
los angeles
\n",
+ "
american
\n",
+ "
34.083708
\n",
+ "
-118.33994
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "195 cafe ritz carlton buckhead 3434 peachtree rd. atlanta \n",
- "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
+ " name addr city type lat \\\n",
+ "18 citrus 6703 melrose ave. los angeles californian 34.083708 \n",
+ "19 citrus 6703 melrose avenue los angeles american 34.083708 \n",
"\n",
- " type lat lng \n",
- "195 ext 6108 international 33.850807 -84.364227 \n",
- "198 american (new) 33.850807 -84.364227 "
+ " lng \n",
+ "18 -118.33994 \n",
+ "19 -118.33994 "
]
},
"metadata": {},
@@ -7015,35 +6983,35 @@
" \n",
" \n",
"
\n",
- "
200
\n",
- "
ritz carlton restaurant
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
french (classic)
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
+ "
34
\n",
+ "
locanda veneta
\n",
+ "
3rd st.
\n",
+ "
los angeles
\n",
+ "
italian
\n",
+ "
34.068958
\n",
+ "
-118.320928
\n",
"
\n",
"
\n",
- "
839
\n",
- "
ritz carlton cafe atlanta
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
american (new)
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
+ "
35
\n",
+ "
locanda veneta
\n",
+ "
8638 w. third st.
\n",
+ "
los angeles
\n",
+ "
italian
\n",
+ "
34.073417
\n",
+ "
-118.381096
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type \\\n",
- "200 ritz carlton restaurant 181 peachtree st. atlanta french (classic) \n",
- "839 ritz carlton cafe atlanta 181 peachtree st. atlanta american (new) \n",
+ " name addr city type lat \\\n",
+ "34 locanda veneta 3rd st. los angeles italian 34.068958 \n",
+ "35 locanda veneta 8638 w. third st. los angeles italian 34.073417 \n",
"\n",
- " lat lng \n",
- "200 33.758579 -84.387066 \n",
- "839 33.758579 -84.387066 "
+ " lng \n",
+ "34 -118.320928 \n",
+ "35 -118.381096 "
]
},
"metadata": {},
@@ -7080,76 +7048,18246 @@
" \n",
" \n",
"
\n",
- "
335
\n",
- "
caffe dante
\n",
- "
81 macdougal st. between houston and bleeker ...
\n",
+ "
83
\n",
+ "
gotham bar grill
\n",
+ "
12 e. 12th st.
\n",
"
new york
\n",
- "
coffee bar
\n",
- "
40.728878
\n",
- "
-74.001662
\n",
+ "
american
\n",
+ "
40.734207
\n",
+ "
-73.993699
\n",
"
\n",
"
\n",
- "
337
\n",
- "
caffe lure
\n",
- "
169 sullivan st. between houston and bleecker...
\n",
+ "
86
\n",
+ "
gotham
\n",
+ "
12 e 12th st
\n",
"
new york
\n",
- "
french
\n",
- "
40.727928
\n",
- "
-74.000985
\n",
+ "
new american
\n",
+ "
40.734207
\n",
+ "
-73.993699
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "335 caffe dante 81 macdougal st. between houston and bleeker ... new york \n",
- "337 caffe lure 169 sullivan st. between houston and bleecker... new york \n",
+ " name addr city type lat \\\n",
+ "83 gotham bar grill 12 e. 12th st. new york american 40.734207 \n",
+ "86 gotham 12 e 12th st new york new american 40.734207 \n",
"\n",
- " type lat lng \n",
- "335 coffee bar 40.728878 -74.001662 \n",
- "337 french 40.727928 -74.000985 "
+ " lng \n",
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"metadata": {},
"output_type": "display_data"
- }
- ],
- "source": [
- "print(\"Dedupe false positives\")\n",
- "for false_positive_pair in list(dedupe_false_positives):\n",
- " display(df.loc[list(false_positive_pair)][['name', 'addr', 'city', 'type', 'lat', 'lng']])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "source": [
- "The deduper is confused by \"caffe\"s that are located near each other. \"caffe\" could be a stopword? Or even better, we could incorporate some logic for **name rarity**: if the token isn't rare, like \"caffe\", it should contributte less with the name similarity than a rarer token like \"reggio\". It's possible to do that with [an interaction with name frequency](https://github.com/dedupeio/dedupe/issues/392).\n",
- "\n",
- "Or maybe the deduper could have learned a more restrictive name blocking? Or the classifier should have put less weight on name? It's difficult to guess, because those things could have introduced more **false negatives** too. What about them?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {
- "scrolled": true,
- "slideshow": {
- "slide_type": "slide"
- }
- },
- "outputs": [
+ },
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- "Dedupe false negatives\n"
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+ "26 34.06736 -118.401894 \n",
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152
\n",
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coyote cafe
\n",
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+ " name addr city type \\\n",
+ "152 coyote cafe 3799 las vegas blvd. s las vegas southwestern \n",
+ "153 coyote cafe las vegas 3799 las vegas blvd. s. las vegas southwestern \n",
+ "\n",
+ " lat lng \n",
+ "152 36.102251 -115.169968 \n",
+ "153 36.102251 -115.169968 "
+ ]
+ },
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+ ],
+ "source": [
+ "print(\"Dedupe false positives\")\n",
+ "for false_positive_pair in list(dedupe_false_positives):\n",
+ " display(df.loc[list(false_positive_pair)][['name', 'addr', 'city', 'type', 'lat', 'lng']])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "source": [
+ "The deduper is confused by \"caffe\"s that are located near each other. \"caffe\" could be a stopword? Or even better, we could incorporate some logic for **name rarity**: if the token isn't rare, like \"caffe\", it should contributte less with the name similarity than a rarer token like \"reggio\". It's possible to do that with [an interaction with name frequency](https://github.com/dedupeio/dedupe/issues/392).\n",
+ "\n",
+ "Or maybe the deduper could have learned a more restrictive name blocking? Or the classifier should have put less weight on name? It's difficult to guess, because those things could have introduced more **false negatives** too. What about them?"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "metadata": {
+ "scrolled": true,
+ "slideshow": {
+ "slide_type": "slide"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Dedupe false negatives\n"
+ ]
+ },
+ {
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st los angeles
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caribbean
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\n",
- "
198
\n",
- "
ritz carlton dining room buckhead
\n",
- "
3434 peachtree rd. ne
\n",
+ "
203
\n",
+ "
veni vidi vici
\n",
+ "
41 14th st.
\n",
"
atlanta
\n",
- "
american (new)
\n",
- "
33.850807
\n",
- "
-84.364227
\n",
+ "
italian
\n",
+ "
33.786946
\n",
+ "
-84.388786
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "197 dining room ritz carlton buckhead 3434 peachtree rd. atlanta \n",
- "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
- "\n",
- " type lat lng \n",
- "197 international 33.850807 -84.364227 \n",
- "198 american (new) 33.850807 -84.364227 "
+ " name addr city type lat lng\n",
+ "204 veni vidi vici 41 14th st. atlanta italian 33.786946 -84.388786\n",
+ "203 veni vidi vici 41 14th st. atlanta italian 33.786946 -84.388786"
]
},
"metadata": {},
@@ -7442,35 +25572,35 @@
" \n",
" \n",
"
\n",
- "
28
\n",
- "
restaurant katsu
\n",
- "
1972 n. hillhurst ave.
\n",
- "
los angeles
\n",
- "
asian
\n",
- "
34.107405
\n",
- "
-118.28719
\n",
+ "
212
\n",
+ "
cafe claude
\n",
+ "
7 claude ln.
\n",
+ "
san francisco
\n",
+ "
french bistro
\n",
+ "
37.790332
\n",
+ "
-122.404517
\n",
"
\n",
"
\n",
- "
29
\n",
- "
katsu
\n",
- "
1972 hillhurst ave.
\n",
- "
los feliz
\n",
- "
japanese
\n",
- "
34.107405
\n",
- "
-118.28719
\n",
+ "
211
\n",
+ "
cafe claude
\n",
+ "
7 claude la.
\n",
+ "
san francisco
\n",
+ "
french
\n",
+ "
37.790332
\n",
+ "
-122.404517
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type \\\n",
- "28 restaurant katsu 1972 n. hillhurst ave. los angeles asian \n",
- "29 katsu 1972 hillhurst ave. los feliz japanese \n",
+ " name addr city type lat \\\n",
+ "212 cafe claude 7 claude ln. san francisco french bistro 37.790332 \n",
+ "211 cafe claude 7 claude la. san francisco french 37.790332 \n",
"\n",
- " lat lng \n",
- "28 34.107405 -118.28719 \n",
- "29 34.107405 -118.28719 "
+ " lng \n",
+ "212 -122.404517 \n",
+ "211 -122.404517 "
]
},
"metadata": {},
@@ -7507,35 +25637,35 @@
" \n",
" \n",
"
\n",
- "
53
\n",
- "
spago
\n",
- "
1114 horn ave.
\n",
- "
los angeles
\n",
- "
californian
\n",
- "
34.091172
\n",
- "
-118.383161
\n",
+ "
58
\n",
+ "
yujean kang
\n",
+ "
67 n. raymond ave.
\n",
+ "
pasadena
\n",
+ "
chinese
\n",
+ "
34.147086
\n",
+ "
-118.149099
\n",
"
\n",
"
\n",
- "
54
\n",
- "
spago los angeles
\n",
- "
8795 sunset blvd.
\n",
- "
w. hollywood
\n",
- "
californian
\n",
- "
34.091132
\n",
- "
-118.383290
\n",
+ "
57
\n",
+ "
yujean kang gourmet chinese cuisine
\n",
+ "
67 n. raymond ave.
\n",
+ "
los angeles
\n",
+ "
asian
\n",
+ "
34.147086
\n",
+ "
-118.149099
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type \\\n",
- "53 spago 1114 horn ave. los angeles californian \n",
- "54 spago los angeles 8795 sunset blvd. w. hollywood californian \n",
+ " name addr city \\\n",
+ "58 yujean kang 67 n. raymond ave. pasadena \n",
+ "57 yujean kang gourmet chinese cuisine 67 n. raymond ave. los angeles \n",
"\n",
- " lat lng \n",
- "53 34.091172 -118.383161 \n",
- "54 34.091132 -118.383290 "
+ " type lat lng \n",
+ "58 chinese 34.147086 -118.149099 \n",
+ "57 asian 34.147086 -118.149099 "
]
},
"metadata": {},
@@ -7572,35 +25702,35 @@
" \n",
" \n",
"
\n",
- "
168
\n",
- "
bone
\n",
- "
3130 piedmont road
\n",
+ "
198
\n",
+ "
ritz carlton dining room buckhead
\n",
+ "
3434 peachtree rd. ne
\n",
"
atlanta
\n",
- "
american
\n",
- "
33.842103
\n",
- "
-84.371103
\n",
+ "
american (new)
\n",
+ "
33.850807
\n",
+ "
-84.364227
\n",
"
\n",
"
\n",
- "
169
\n",
- "
bone restaurant
\n",
- "
3130 piedmont rd. ne
\n",
+ "
197
\n",
+ "
dining room ritz carlton buckhead
\n",
+ "
3434 peachtree rd.
\n",
"
atlanta
\n",
- "
steakhouses
\n",
- "
33.842103
\n",
- "
-84.371103
\n",
+ "
international
\n",
+ "
33.850807
\n",
+ "
-84.364227
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type lat \\\n",
- "168 bone 3130 piedmont road atlanta american 33.842103 \n",
- "169 bone restaurant 3130 piedmont rd. ne atlanta steakhouses 33.842103 \n",
+ " name addr city \\\n",
+ "198 ritz carlton dining room buckhead 3434 peachtree rd. ne atlanta \n",
+ "197 dining room ritz carlton buckhead 3434 peachtree rd. atlanta \n",
"\n",
- " lng \n",
- "168 -84.371103 \n",
- "169 -84.371103 "
+ " type lat lng \n",
+ "198 american (new) 33.850807 -84.364227 \n",
+ "197 international 33.850807 -84.364227 "
]
},
"metadata": {},
@@ -7637,35 +25767,35 @@
" \n",
" \n",
"
\n",
- "
136
\n",
- "
shun lee west
\n",
- "
43 w. 65th st.
\n",
- "
new york
\n",
- "
asian
\n",
- "
40.772900
\n",
- "
-73.981348
\n",
+ "
2
\n",
+ "
arnie morton
\n",
+ "
435 s. la cienega boulevard
\n",
+ "
los angeles
\n",
+ "
steakhouses
\n",
+ "
34.070609
\n",
+ "
-118.376722
\n",
"
\n",
"
\n",
- "
137
\n",
- "
shun lee palace
\n",
- "
155 e. 55th st.
\n",
- "
new york city
\n",
- "
chinese
\n",
- "
40.759428
\n",
- "
-73.969068
\n",
+ "
0
\n",
+ "
arnie morton chicago
\n",
+ "
435 s. la cienega blv.
\n",
+ "
los angeles
\n",
+ "
american
\n",
+ "
34.070609
\n",
+ "
-118.376722
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city type lat \\\n",
- "136 shun lee west 43 w. 65th st. new york asian 40.772900 \n",
- "137 shun lee palace 155 e. 55th st. new york city chinese 40.759428 \n",
+ " name addr city \\\n",
+ "2 arnie morton 435 s. la cienega boulevard los angeles \n",
+ "0 arnie morton chicago 435 s. la cienega blv. los angeles \n",
"\n",
- " lng \n",
- "136 -73.981348 \n",
- "137 -73.969068 "
+ " type lat lng \n",
+ "2 steakhouses 34.070609 -118.376722 \n",
+ "0 american 34.070609 -118.376722 "
]
},
"metadata": {},
@@ -7702,35 +25832,35 @@
" \n",
" \n",
"
\n",
- "
199
\n",
- "
restaurant ritz carlton atlanta
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
continental
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
+ "
4
\n",
+ "
art deli
\n",
+ "
12224 ventura blvd.
\n",
+ "
studio city
\n",
+ "
delis
\n",
+ "
34.142966
\n",
+ "
-118.399469
\n",
"
\n",
"
\n",
- "
200
\n",
- "
ritz carlton restaurant
\n",
- "
181 peachtree st.
\n",
- "
atlanta
\n",
- "
french (classic)
\n",
- "
33.758579
\n",
- "
-84.387066
\n",
+ "
3
\n",
+ "
art delicatessen
\n",
+ "
12224 ventura blvd.
\n",
+ "
studio city
\n",
+ "
american
\n",
+ "
34.142966
\n",
+ "
-118.399469
\n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " name addr city \\\n",
- "199 restaurant ritz carlton atlanta 181 peachtree st. atlanta \n",
- "200 ritz carlton restaurant 181 peachtree st. atlanta \n",
+ " name addr city type lat \\\n",
+ "4 art deli 12224 ventura blvd. studio city delis 34.142966 \n",
+ "3 art delicatessen 12224 ventura blvd. studio city american 34.142966 \n",
"\n",
- " type lat lng \n",
- "199 continental 33.758579 -84.387066 \n",
- "200 french (classic) 33.758579 -84.387066 "
+ " lng \n",
+ "4 -118.399469 \n",
+ "3 -118.399469 "
]
},
"metadata": {},
@@ -7875,13 +26005,13 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "dedupe_true_positives total: 141\n",
- "dedupe_false_positives total: 7\n",
- "dedupe_false_negatives total: 9\n",
+ "dedupe_true_positives total: 0\n",
+ "dedupe_false_positives total: 148\n",
+ "dedupe_false_negatives total: 150\n",
"\n",
- "dedupe_unclustered_true_positives total: 142\n",
- "dedupe_unclustered_false_positives total: 10\n",
- "dedupe_unclustered_false_negatives total: 8\n"
+ "dedupe_unclustered_true_positives total: 0\n",
+ "dedupe_unclustered_false_positives total: 152\n",
+ "dedupe_unclustered_false_negatives total: 150\n"
]
}
],
@@ -7954,7 +26084,7 @@
},
{
"cell_type": "code",
- "execution_count": 78,
+ "execution_count": 76,
"metadata": {
"scrolled": true,
"slideshow": {
@@ -8003,7 +26133,7 @@
"
None
\n",
"
34.068958
\n",
"
-118.320928
\n",
- "
(3rd street, 3rd saint, 3 street, 3 saint)
\n",
+ "
(3rd saint, 3 street, 3rd street, 3 saint)
\n",
" \n",
"
\n",
"
35
\n",
@@ -8014,7 +26144,7 @@
"
90048
\n",
"
34.073417
\n",
"
-118.381096
\n",
- "
(8638 w 3 street, 8638 west 3rd street, 8638 w...
\n",
+ "
(8638 w 3rd street, 8638 west 3rd saint, 8638 ...
\n",
"
\n",
"
\n",
"
36
\n",
@@ -8025,7 +26155,7 @@
"
90048
\n",
"
34.073417
\n",
"
-118.381096
\n",
- "
(8638 w 3, 8638 wohnung 3, 8638 weg 3, 8638 we...
\n",
+ "
(8638 weg 3, 8638 weg 3rd, 8638 wohnung 3rd, 8...
\n",
"
\n",
"
\n",
"
37
\n",
@@ -8036,7 +26166,7 @@
"
None
\n",
"
34.068958
\n",
"
-118.320928
\n",
- "
(w 3 street, w 3rd street, west 3 saint, w 3rd...
\n",
+ "
(west 3 saint, w 3rd saint, west 3rd street, w...
\n",
"
\n",
" \n",
"\n",
@@ -8050,10 +26180,10 @@
"37 locanda w. third st. st los angeles italian None \n",
"\n",
" lat lng addr_variations \n",
- "34 34.068958 -118.320928 (3rd street, 3rd saint, 3 street, 3 saint) \n",
- "35 34.073417 -118.381096 (8638 w 3 street, 8638 west 3rd street, 8638 w... \n",
- "36 34.073417 -118.381096 (8638 w 3, 8638 wohnung 3, 8638 weg 3, 8638 we... \n",
- "37 34.068958 -118.320928 (w 3 street, w 3rd street, west 3 saint, w 3rd... "
+ "34 34.068958 -118.320928 (3rd saint, 3 street, 3rd street, 3 saint) \n",
+ "35 34.073417 -118.381096 (8638 w 3rd street, 8638 west 3rd saint, 8638 ... \n",
+ "36 34.073417 -118.381096 (8638 weg 3, 8638 weg 3rd, 8638 wohnung 3rd, 8... \n",
+ "37 34.068958 -118.320928 (west 3 saint, w 3rd saint, west 3rd street, w... "
]
},
"metadata": {},
@@ -8061,9 +26191,8 @@
},
{
"data": {
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Sbunqc5mZWcdy8mVmnSI3w94b+BhwLzDSTaiTiJgp6XLSZ3OipIeA5/z5mNUHJ19m1uEkrUeqdi0CLnTj6X+VE62nm2nS3SX6V5pZ5/GAezPrMLk90B7ACcBI4EonXisXEdOAS4A3gFMkDXGTbrPa5sqXmXUISWsDBwPdgUsi4v2SQ6oaedD9I7lJd2MV7PaImFdyaGbWCVz5MrNVkqtdOwGnAK8Dlzrxap+IeBu4AJhJak80oOSQzKwTuPJlZu0maU1SM+x1gSsiYkrJIVW93KT73or2RAOBuyNiYcmhmVkHceXLzNpF0iBSe6BppGbYTrw6UERMIk3MupRUBdui5JDMrIO48mVmbSKpJ6kZ9qbA9RHxZskh1axc7RohaRvgS5JeBh5wk26z6ubKl5m1mqQtSdWuRaRm2E68ChAR40lNunuT7ojcuOSQzGwVuPJlZi2StDrwb8BA4NaImFBySHUn3/l4o6TtgaMkPQc86ibdZtXHlS8zWylJm5CaYfcktQdy4lWiiBhFGgu2EWl2/L4lh2RmbeTKl5k1S1I3UjPsnYE7I+KVciOyRhExR9I1wC7AsZIeB552k26z6uDky8z+haQNSJN9ziKN7ZpbckjWRG5P9Lyk10hNugfkJt0zSg7NzFrgy45m9k+SGiTtDRwDPA1c58Sra8vJ1uXAWOAkSbu6PZFZ1+bKl5kBIOmjpGrXYlIz7Jklh2StlC83PtmkSfdtETGn5NDMrBmufJnVudweaHfgROBl0kz1TryqUES8B1wMvA2cmu+MNLMuxpUvszomaS1SM+yepJ6M00oOyVZRnnriIUnjgENzJ4I73KTbrOtw5cusDuVq1xBSM+xJwCVOvGpLREwmNemeTWpPtE3JIZlZ5sqXWZ3JzbAPANYHroqId0oOyTpJbkN0T0WT7gnAvW7SbVYuV77M6oikAaQJU2eQBtU78aoDETGR1J6ogTQWbPNyIzKrb658mdUBST2AzwH9gRsjYlK5EVnRcrXr1pyAHyZpFKlJ9+KSQzOrO658mdU4SVuQmmEvJU2Y6sSrjkXEWFIVbG1Sk+6NSg7JrO648mVWo3Iz7M8Ag4ARETG+5JCsi4iIeZL+AmwPHC3pWeAxN+k2K4YrX2Y1SNLGpDsZe5GaYTvxsuVE8hLpjshNgBMk9Sk5LLO64MqXWQ3JzbD3BXYjNcN+ueSQrIuLiNmSrgZ2BY6T9CjwTO4daWadwMmXWY2Q1JfUWmYOaWyXW8tYq+RE67mKJt0Dc5Nudzow6wS+7GhW5XIz7E8AxwLPAtc68bL2iIjpwHBgPHCypF3cpNus47nyZVbFJK1LqnYFcFFEzCg5JKtyuUn3E8006Z5bcmhmNcOVL7MqlNsD7QacBIwGhjvxso4UEe8CFwFTSBOzDi45JLOa4cqXWZWR9BFSM+xewGURMbXkkKxG5aknHqxo0j2QdCPH/JJDM6tqrnyZVRFJ25PaA71FaobtxMs6XUS8BQwD5pGadG9dckhmVc2VL7MqIKkXqRl2X+DqiHi75JCszuQm3XflJt0HSxpPatK9qOTQzKqOK19mXZykbUntgWaTmmE78bLSRMRrpPZEq5HGgm1WckhmVceVL7MuKjfD3h/YEvhrREwsNyKzJCIWALfkMWCHS/oH8JCbdJu1jitfZl2QpP6kahek9kATSwvGbAUiYgypCvZR0rxg/UoOyawquPJl1oVIWg3Yj9TweEREjCs5JLOViogPJN0ADAG+JukZ4PE8X5iZNcPJl1kXIWkj0qSW75GqXfNKDsmsVXJ7on9ImkiaBmXb3J5oWrmRmXVNTr7MSpabYe8D7A7cFRGjSg7JrF0iYpakK0k/y8dLegT4m5t0my3PyZdZiST1IVW75uFm2FYDcqL1N0kTWL5J96ySQzPrMjzg3qwEuT3QXsBxwAukubuceFnNiIj3gcuACcApknZyk26zxJUvs4JJWodUEWgALo6I6SWHZNYp8qD7x5s06R4RER+UHJpZqVz5MitIrnbtApwMjCM1w3biZTUvIqaQmnRPI7UnGlRySGalcuXLrAC5GfaBwEdISdd7JYdkVqg8Aev9uT1RY5Puu/KErWZ1xZUvs04maTCpGfYU0mVGJ15WtyLiTVKT7oWkKthWJYdkVjhXvsw6iaQ1SM2w+wHXRMTkkkMy6xJyM+47K5p0jwXuc5NuqxeufJl1Aklbk9oDzQUucOJl9q8iYgKpPVEPUpPuTUsOyawQrnyZdSBJ3YHPAlsDN0fE6yWHZNalRcR84KY8CP+rkl4EHnGTbqtlrnyZdRBJm5GqXd1IE6Y68TJrpYgYTRoL1gc4SdIGJYdk1mlc+TJbRbkZ9qdIjYVvj4ixJYdkVpUiYq6k64EdgWMkPQU84SbdVmucfJmtAkkbkiaPfJ9U7fLkkWarILcn+ruk10mTETc26X6/5NDMOoyTL7N2kNQA7A18DLgHeMnNg806Tm7SfQWwB3CCpIeA5/z/zGqBky+zNpK0PqnatYB0J+PskkMyq0k50XomN+lubE90q//PWbXzgHuzVsrtgT4GHA/8HbjKvwTMOl9ETAMuASaRmnTv6CbdVs1c+TJrhdwM+2DS/xk3wzYrWB50/6ik8Syrgt3ucZZWjVz5MluJXO3amdQMewJwmRMvs/JExDvAhcB0UnuigSWHZNZmrnyZrYCk3qRm2OsAl0fEuyWHZGb8s0n3fU2adN/tJt1WLVz5MmuGpO1IzbDfAy504mXW9UTEG6T2RItJVbAtSg7JrFVc+TKrIKkn8AVgY+D6iHiz5JDMbCVyM+7bcz/VQyWNBu6PiA9LDs1shVz5MsskbUVqD9Q4hYQTL7MqERGvkqpgvUhNujcpOSSzFXLly+pebob9b8C2wK0R8VrJIZlZO+Qm3X+VNBg4UtLzpCbdS0oOzWw5rnxZXZO0KWlsV3fgfCdeZtUvIl4mVcH6kZp09y05JLPluPJl1U/qAWwCrEtKohYBM4A3SeNBmtlEqwFDgZ2AOyJidDHBmlkRcpPua4GdgWMlPQE8tdIm3e04l5i1h5Mvq15p4tNBwGDSz/IiYAnQjXTiXIw0ChhDxMxlm6kfaZLGGaRqlydpNKtBuT3RC7lJ98HAgNyke/m5+tp5LjFrL192tFaR1F9SSNqt7FgAkDYHDge2A6YBk4GpwPQh8KV+cFp+fTBwONLmkhok7QN8DXiSdDejEy+zApVxLomIGcDlwGjgREm7/bM9UTvOJUXFbbXLyVeNkXSapJGSZufHU5IOaGa9bSXdJGmmpHmSXpA0qIyY2yyd/A4gzXD9Hukv1OYsycunT4HD94MzgS1I83b9I/9V3KVJGpp/Ua1fdixWX1p7LqlY/4L8s3pmkXG2ViRPAZcBuwBH358G5rfpXAIcUI0JmM8lXYuTr9rzFvCfpJPLbsCDwC2ShjSukCcifAJ4Hfg0sD3wI2Bu4dG2Vbo8sD/pRLiwpdWXADfCZhfDkJ/AOjPhtoiY1dlhmtWAFs8ljSQdBuwBvF1ohO0QEVOBS3aHma/CTx+AnktacS7JFpLOPfvnc5FZuzj5qjERcWtE3BURr0bEuIj4ITAH2KtitV8A90bEGRHxQkS8FhF3tnVeK0n7SnpG0gJJ70o6N0/b0Lhcks6QNF7SQklvSTq7Yvk5ksZKmi9poqRf50lOG5efJWmUpCMkTZA0px/cOhLWIJ8s50HDrnBcd7i2O1y7M5wY+ed6EvT6X/jUlbDvH2D3z8B31odJku5ZWZVP0mclLZK0XpPXfylpZMXzj0t6JFcOJ0s6X9JaFcsflnRe3m6apPck/UZSQ8U63SX9Kn828yQ9K2n/vKw/8FBedWr+q3V4XvY5SY9JmiFpekvHZNZWrTyXoFQF+j1wFNCuiU2LPpcAM9+A/7MFjHwCtvkjfGIS9FzRuaTRd2CXvvDTHnDu6j6X2Cpw8lXDJHWTdATQmzTGifyf9UDgFUl3S5qa/5N+tcm2wyVNXMm+NwbuAl4k3U10AnAkcHbFar8EfpxfGwx8BahM8D4AjicNdP0mcATwwyZv1R/4KnBoXzhgHmx/dJqBHtKBHDIS9j8K/jwMzlwKDWNgaEDPi2D/jeHd9WD0gXDzZXDmZXBuQ/oFMqLy5N7EA6QxHl+pOF6RfrlclZ/vANwL3AbsCHyJdOfkpU32dTSp9cnHgW8Bp+fjaXQZ8Mm87+1J41JGSNoxf1ZfzusNBjYEvpOfrwn8jlRtGArMauGYzNqtuXNJfn014Frg5yu6Y7grn0vOhE98D+7pDfO+DP9nJHy+6bmkcgdzoeeBcJvPJbbKIsKPGnsAO5AuIS4GZgIHVCzrBwTpZPU90n/y7+V1K9c7G3ig4nn/vN1u+fkvgPFAQ8U6x5IqUr1IJ+kFwKltiPtU4NWK52flfawdEQRsdSDcuia8HXBgwIE94f194crG55PgK71heh+Y/A/4WuPrFY9TH0onpiXA3iuJ5bfAYxXP987bbJKfXwFc0mSbnfJn1Dc/f5h0a3vlOvcBF+fvtwKWAps1WecW4Lz8/dC8z/Vb+OzWbOmY/Fj2c1V2DNXyWNm5JC//BelSfuPzicCZTdaplnPJzJ3h2T/Dz2bAoQvgoN4weQN4qZnziM8lfqzSw1NN1KaxpP+8awOHAZdLGhoRo1hW7bw1In6bv/+70p1H3wLuAIiIH7TwHoOAp2P5OXMeJ92WvTXQE+hB+suvWUrjRE7P6/cm3dbdrclqk2LZGK11+8C0hbAOwCjotQA+uieMAZgNq/0BDusDb3wA3YakXxZcB/1+BP8+BbZdBOssSSegBmCzlRzfVcDpkjaPiEmkvzofiYi38vJdga2bVAyVv25FGhcCMJLlvQ00Tvi4S97mFUmV6/Qgja9ZIaVWSD8DPgb0ycfT0jGZtdUKzyWShpKSpJ1WtoMqOpesPRRGLIXuZ8NhP4frN4Sxs9P/L8DnEus4Tr5qUKTJAF/NT5+XtDvwXVI5fxrpr9hXmmw2mlSq75AQWlpB0p7AdcBPc2wzgYOA3zRZtXIMSfeApbHsxPQvPoQ1lsDGSyG+ny5dcD4c0AvmDYVX+sPS12Hmnam0f7ikbVcS5vvAJZKeBI4B7pN0Vl7WF/gH8HQz2x2Qx1r0B3pVbAPpskLja4Pza8NJf7Uudyh5nf75+fclzatYfhowm3TjxOy8/WmtOCaDoU3+Tax1FpJ+1q6QdBupkrIR8G7FL3wBv5b036SKT3MaB6qfLOmLpORrUZN/k4/mr6cCq+fvvy1p+fm5kk1IlxwfJl26WwAMAD5bsc+hwLqNz4+BTd+DnQJW/z4c+UF+j7HwmZkp2YtrUlVrOSfDf/eGaafCn/eAJe/ChP+Aq0mJYrMi4gVJY4CjJP2GdAny+xWrNAAXA+c2s/nkiu+bjqdrTPwa9xHA7s2sN39FsWW3k26uOCW/X+PvB1927EROvupDA+kvICJikaRnSSenStsCk9qwz9GkX/QNFX+x7k2anHAC6a/OhcB+pEsKTX0CmBwRP2t8QS3fvr2ooWKc4vYwrydMfyYdy8i1YPE5cPGlsFdPWLIPPLU+vP8/cORp8Ktz4CWg7xmw4M70V/wtETF8RW8maRFp/MSzpF8qX4uI2XnZNsDGEfEfK9l+KDAqIs6qeK0/qex/Vk6SDgP+GhEPrWAfHyclfv8bEe/m19YDfgIc3ridpF2Ab7d0TJYGX1f+m1jrSdoXeDv//PZlWeWl0T2kMWAXRcTYFeyjP2m80YUR8Zyk1UnzbP2/xnOJpGNJ55IzSeeSrwGvRMSwZvZ3BvBmRHy64rU/AJ9t/HfOSdf6//x3l3Y7Eb4BbPdruHYJcCl89h1Y83i4+hAYH8C34Zu90mTM/A0+Mgc2+SacX3EuWZ3W/R69ilTxGkW6rHdjxbIXgMGRGoO314ukc1S/FZ1LSJ8nVFQE87lkIPDNJucS5wadzB9wjZF0DunS4ZvAR0jJw1DSXDaNfg3cIOkxUkn6U6Sq1yEV+zkb2CMi9lvBW51HKvOfJ+n3wJbAOcCfImJe3sfvgbMlLQQeBdYDdo2I84FxwMaSjgaeIk0fcWQLhzejW5Of2b1gxONw2PEweV+Y9Dv4wgJYsxdMehG26wWzu8PsG2H/ITBtCgw4Dz5D+uvLfCEOAAAVkUlEQVSuJVcDPyeV5Ec0Jl7Zr4CnJQ0DLiANvB0IHBgRp7Ri30TEOElXA8PzL5AXSH/xDwVei4ibSAlxkKppI0h/xc4gVTBPkvQmsDHwP608JrNWaelcEhHvseySWOM2HwJTKhOvrn4ueR3WvAH23AFGvQg73QF95sC838EX5sNHG5OvHWGuzyXWYcoedOZHxz5Il7AmsWw+mvuB/ZtZ71jSSWs+aSzBkc3sZ2LF8/5UDJLNr+0LPJPf611S2bxHxfIG4P8Cr5H+6noT+EXF8rNJM0nPBW4i/SUaFcvPIlWOUlzQ40S4tBvMbxz0OhsO3gluWR3mrg5zh8CI7eHODeCleXDwJfCjg+GutWByAyxaDyavlX55zAWObcXn+Wg+7oOaWbYbcDfpUswHpL+G/1/F8odJv0Cafq63VzxfPR9n42c0hXTpZNeKdX4MvEO6tDg8v/Zp0l/RC/LX/Vt7TPX+wAPuW/s5tepc0mSbifzrgPsueS45IZ1LFv4QLrsGvv8+HLKic0nj+eb78MO1YJLPJX6s6kP5wzerDtJepDYg77W0aqNnYP27YM/B8OEn4PqNIh7rvACtq/NlR5PU+3vwvUGwzcfg3h3yzTlt0BcYRcQznRGf1T7P82XVZjRpzEKP1m7wMZh2BjzUA2Jv2FvSlp0Xnpl1ZZK2A059FF48Bp7YoeUB6U31IJ2Dmh3TZtYarnxZ9VnW27FVLYZIJ8u+wB1KpfmDSNNT3BcR7ZqR26qXK1/1SdIapAmaNwJujoi3VuVcQpo2wqxdXPmy6pNOeneQBpT25V/n82nULS//KPlkGemOovNJt5OfKmmTAiI2sxJJ2po0DmweMCwa59hahXNJZ8dstc2VL6teqbHtANIs3KuR5rdZQjpRrk66Y+clYCwR/zKmI19++ALpzqBHImJJQZFbiVz5qh+5Rc5ngW1IE0u/toIVV+lcYtZWTr6s+qUT7KakyRt7kC4fzATeJE04u5JN1ZvU63Jt0qWIdzs5WiuZk6/6IGkz0vQ5bwB3R8SCVmzU7nOJWVt4ni+rfumkOKF9m8ZcSdeRWqQck2ezfzKWb3ViZlUiN/v+FKmbxO0RMabVG6/CucSsLZx8Wd2LVP59UdLrpL+Ut5V0S0Q018rEzLooSf1IrcPeB86PiA9KDsmsWR5wb5ZFGstxOamv2YmSdlOTLrVm1vVIasitj75O6nd6gxMv68pc+TKrkKtgT0t6FTgUGCjptli+HYiZdRG5P+GhpFndL4iIWSWHZNYiV77MmhER04BLSG1MTpE0xFUws65DyceAE0gt0q504mXVwpUvsxXIg+4fkTSONI5koKTbIzf7NbNySFqbND5zdeCSiHi/5JDM2sSVL7MWRMQ7wAWkW86/IWlAySGZ1aVc7doJOIXUQPpSJ15WjVz5MmuFiFgM3CtpLHCIpIGkuYNa05LEzFaRpDVJc/KtC1wREVNKDsms3Vz5MmuDSG1FhgFLSVWw/qUGZFYHJA0itQeaBlzkxMuqnStfZm2Uq10jJG0DfEnSK8ADbtJt1rEk9QQ+T5p1/vqIeLPkkMw6hCtfZu0UEeNJTbp7k+6I3LjkkMxqhqStSNWuRaRm2E68rGa48mW2CiJiPnCjpMHAUZKeAx51k26z9snNsD8DDCQ1w3a7H6s5rnyZdYCIeJk0Fmwj0uz4fUsOyazqSNqUdCdjT1J7ICdeVpNc+TLrIBExR9I1wC7AsZIeB552k26zlZPUDRgK7AzcGRGvlBuRWedy8mXWgXJ7ouclvUaaBHJAbtI9o+TQzLokSRuQ2gPNIo3tmltySGadzpcdzTpBTraGA2OAkyTt6vZEZsvkZth7A8cATwPXOfGyeuHKl1knyVWwp3KT7sb2RLdFxJySQzMrVW6GfQiwGLgwImaWHJJZoVz5MutkETEVuBiYDJwqafuSQzIrRW4PtDupGfYo0kz1Trys7rjyZVaAPPXEw5LGA4fmGbvvcJNuqxeS1gIOJt3JeGlETCs5JLPSuPJlVqCImExq0j2b1J5om5JDMutUudo1hDSFxCTgEideVu9c+TIrWG5DdE9Fk+4JwL1u0m21JjfD/iKwHnBVRLxTckhmXYIrX2YliYiJpPZEIo0F27zciMw6jqQBwKnAdNKgeideZpkrX2YlytWu2yRtCxwmaRSpSffikkMza5fcDPtzwObAjRExqeSQzLocV77MuoCIGEeqgq1NatK9UckhmbWZpC1I1a4lpAlTnXiZNcOVL7MuIiLmSfoLsD1wtKRngcfcpNu6Okmrk5phDwJGRMT4kkMy69Jc+TLrQiJ5iXRH5CbACZL6lByW2QpJ2ph0J2MvUjNsJ15mLXDly6wLiojZkq4GdgWOk/Qo8EyeNd+sdLkZ9idJP6N3RsTLJYdkVjWcfJl1UTnReq6iSffA3KTbM4JbqST1JTXDnkMa2+WWWWZt4MuOZl1cREwnNekeD5wsaRc36bYy5GbYnwCOBZ4FrnXiZdZ2rnyZVYGIWAo8kZt0H8qyJt1zSw7N6oSkdUk/ewFcFBEzSg7JrGq58mVWRSLiXeAiYAppYtbtSg7JalxuD7QbcBIwGhjuxMts1bjyZVZl8tQTD0oax7Im3XdGxPySQ7Mak5thH0S6k/GyiJhackhmNcGVL7MqFRFvAcOAeaQm3VuXHJLViFzt2oE0hcRbpGbYTrzMOogrX2ZVLDfpvkvSGFKT7vGkJt2LSg7NqpSkXsABQF/g6oh4u+SQzGqOK19mNSAiXie1J1qNNBZss5JDsiqUe4x+A5hNaobtxMusE7jyZVYjImIBcIukgcDhkv4BPOQm3dYSST2A/YEtgb9GxMRyIzKrba58mdWYiBhDqoJ9lDQvWL+SQ7IuTFJ/UrULUnugiaUFY1YnXPkyq0ER8YGkG4AdgK9JegZ4PM8XZtbYDPvTpEbuIyJiXMkhmdUNJ19mNSq3JxopaRJwMLBtbk80reTQrGSSNiJNmPoeqdo1r+SQzOqKky+zGhcRsyRdCewOHC/pEeBvbtJdf3Iz7H1IPwt3A6P8c2BWPCdfZnUg/4L9m6QJLN+ke1bJoVlBJPUhVbvm4WbYZqXygHuzOhIR7wOXAROAUyTt5CbdtS1PmLoXcBzwAmnuLideZiVy5cuszuRB9483adI9IiI+KDk062C5GfYhgICLI2J6ySGZGa58mdWtiJhCatI9ldSeaFDJIVkHydWuXUjNsMeSmmE78TLrIlz5MqtjeQLWByqadA8E7soTtloVkvQR4EDgI6Sk672SQzKzJlz5MjMi4k1Sk+6FpCrYViWHZO0gaTBwKjCFdJnRiZdZF+TKl5kBkJtx3ylpLHBQrobd5ybdXZ+kNUjNsPsB10TE5JJDMrOVcOXLzJYTERNI7Ym6k5p0b1pySLYSkrYhtQeaC1zgxMus63Ply8z+RR7zdXMehP9VSS8Cj7hJd9chqTupGfZWwM0R8XrJIZlZK7nyZWYrFBGjSWPB+gAnSdqg5JAMkLQZqdrVQJow1YmXWRVx5cvMVioi5kq6HtgROEbSU8ATbtJdPEmrAZ8ChgC3R8TYkkMys3Zw8mVmLcrtif4u6XXSpJ2NTbrfLzm0uiFpQ9KkuO+Tql2eFNesSjn5MrNWy026rwD2AE6Q9DDwrJszdx5JDaRm2HsA9wAv+fM2q25OvsysTfIv/mdyk+5DgQGSbo2I2SWHVnMkrU/6jBeQ7mT0Z2xWAzzg3szaJSKmAZcAk0hNund0k+6OkdsD7QkcD/wduMqJl1ntcOXLzNotD7p/VNJ4ljXpvt3jkdpP0jrAwaTz8yUeV2dWe1z5MrNVFhHvABcC00ntiQaWHFLVydWunYGTgQnAZU68zGqTK19m1iHyBKz35fZEjU2673aT7pZJ6k1qhr0OcHlEvFtySGbWiVz5MrMOFRFvkNoTLSZVwbYoOaQuTdJ2pGbY7wEXOvEyq32ufJlZh8vNuG+XtDWpCjYauD8iPiw5tC4jN8P+PLAxcH1EvFlySGZWEFe+zKzTRMSrpCpYL1KT7k1KDqlLkLQVqT1Q4xQSTrzM6ogrX2bWqSJiPvBXSYOBIyU9T2rSvaTk0AqXm2H/G7AtcEtEvFZySGZWAle+zKwQEfEyqQrWj9Sku2/JIRVK0qaksV3dgfOdeJnVL1e+zKwwuUn3tcBOwLGSngCequUm3bkZ9lDSMd8REaPLjcjMyubky8wKldsTvVjRpHtAbtI9veTQOpykfqTJZ2eQql2efNbMfNnRzMoRETOBy4FXgBMl7VYr7YkkNUjaB/g68CTpbkYnXmYGuPJlZiXKVbCnK5p0D5R0WzX3MZS0HulYFpHuZJxVckhm1sW48mVmpYuIqaQm3W+RmnTvUG1VsNweaA/gBOAl4EonXmbWHFe+zKxLyFNPPCxpHKlyNCg36Z5XcmgtkrQ2qRl2d9wM28xa4MqXmXUpEfE2cAEwk9SeaNuSQ1qhXO3akdQM+3XgUideZtYSV77MrMvJTbrvzU26D8lNuu+JiIUlh/ZPktYEvgisR7rEOKXkkMysSrjyZWZdVkRMAoblp9+Q1L+8aJbJyeA3gOmkZthOvMys1Vz5MrMuLVe7bsuXH78s6WXggTKadEvqCXwO2Ay4ISLeKDoGM6t+rnyZWVWIiHGk9kS9SXdEblTk+0vaklTt+hAY5sTLzNrLlS8zqxr5zscbJW0PHC3pOeDRzmzSLWl1UjPsgcBtEfFqZ72XmdUHJ19mVnUiYpSkScBBpNnxb8pzhTVP6gFsAqx7DGyKtBup5c+bRCxa8WbahDTtxWRSe6D5HXkcZlafnHyZWVWKiDmSrgF2AY6T9Djw9HJNuqV1gEHAYNL5btFg+CgwhDQn12KkUcAYUrujvJm6AZ/M+74zIl4p6LDMrA54zJeZVR1JIemwSJ4HLgIGAMdIWjevtDlwOLAdMI1UvZo6FeYDU/PzaaTE7PC8PpI2AE4C+pHGdrU78ZJ0pqSJ7d3ezGqTky8z6zSSTpM0UtLs/HhK0gEVy2MFjz+35X0iYgapSfdY4KTTpAOWwgGkqSDeA1Y0JmxJXj59MXzxOOnLwDHAM8C1ETG37UdtZrZyTr7MrDO9Bfwn6fLdbsCDwC2ShuTlGzZ5HJhfv6GtbxQRSyPiye/ATbvDEefBtpNbeY57FVb/I2y3Hxz4M7g+Il7MTb/NzDqcky8z6zQRcWtE3BURr0bEuIj4ITAH2Csvn1L5IPVHHBcRj7TlfXIj7vslzf8zvPA72HIRzDofPndXmpOLr8Kn14E//i98tSdcMQBOXwL8FbY5Cr77Uzj0ODjyZ/CspIuVxos17v9YSXMl7SdplKQPJD0kaYsmcXxf0pS87hWkaTEql+8u6V5J03Il8HFJe7XnszWz6uXky8wKIambpCNICcmTzSzvDRxBGr9V+fpZklZYhcptfu4B5m4Cn/glDHsN+v8RPnMoPPI32GEofPNGOG0PuP9IuPPn8NON4O3fwtAxsOVHYMwp8Oe/wLd/DsMFHwP+2OStegA/AI4nJY/rsGz2fSQdDvwc+Amp0jcW+F6TfXwEuBLYB9gD+Dtwp6T1VvrhmVlN8d2OZtapJO0APAX0BOYCh0bES82sehTpDsTLm7w+jZTIrMhRwJrA196EvsBr0+FP58Avx8LlZ8Dd58Dlg2D0D+Bvd8HQgbBkJnzYD6YdDq/8EJZW7K/hbvjtgzBM0jEVd0+uBpwWEWPzcf0GuFSS8iXK04HLI+KCvP4vJH0K2LpxxxHxYJPP5tvAl4HPA1et5BjNrIY4+TKzzjYW2AlYGzgMuFzS0IgY1WS9k4Bbm87XFRF/Av60kv0PAkZGxBykAcCiM2HMObD0Udh0U5i3ANbaCx54GHafCtu+ALO+DI/snAbk858w5Eo4bCZsuhh6L4EgJYL9gLfz+yxsTLyyt/M665L2Mwi4uElsT1GRfEnqC/wM+BSwAdANWIN8adTM6oOTLzPrVJEmMW2cFf55SbsD3wVOaFxH0k6kAfn/tYpv152KOxuVkigA1oIZ34XHhsP7p8BTa+Rq183Q5zfw3zvAvd+Aq7eHbpdCj9vhp3l/jRY3PbT8tS3DNy4nJV3fBSYCC4EHmryPmdU4j/kys6I1kMZPVToZeB24vx37Gw3sIOkjwCKg229SK6CGfeCtfWDWGvD+Y7DjOrD4dHhijYrLjLfDNkthtSfh4h/D2ENh2ttpPFd74tizyWtNn+8N/DEi7oiIl0k3H2zYjvcysyrm5MvMOo2kcyTtI6l/viPxbGAocHXFOr2Ao4FLmpveQdK3JI1ZydtcDcwDrjgR+pwL2/0ZTusPTx4F7wDsBzc8DwftDwdfARv9Hrb4NzgEYOd0+bDhYDjoL7DBd2CvkWngf1v9njTJ60mStpH0A9LA/UrjgH+XtF2uAF5HShjNrI74sqOZdaZ+pIHk/YBZwEjg8xFxT8U6XyUNmL9sBftYnzR7fbMiYp6k/YHfXQI3dYelW8Izf4HGge+MgLu+DIvvh0Pug2O6w9wt4DmAb8HEO+DCh+GwB+HfN4XXesAZi+GathxoRFwvaUvgF0Av4Dbgt8CxFasdD1wIPE9K+s4C+rTlfcys+snzCJpZTUnzZm1Hmrm+rfoCo4h4pmODMjNbxpcdzazWjCbdRdh0XFlLeuTtVjathZnZKnPyZWa1JWImadLVvrQ+AeuR178nb29m1ml82dHMapO0ObA/aeqJ92m+uXY3YL389R4iJhUXoJnVKydfZla7Un/GAcAOpBuMPiQlYd2A1Ulzd70EjHXFy8yK4uTLzGqf1B3YlDR/Vw/S5KYzgTdJk8CamRXGyZeZmZlZgTzg3szMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxATr7MzMzMCuTky8zMzKxA/x899zpUle0c8QAAAABJRU5ErkJggg==\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -8071,9 +26200,8 @@
},
{
"data": {
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\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},
@@ -8081,9 +26209,8 @@
},
{
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\n",
"text/plain": [
- ""
+ ""
]
},
"metadata": {},