Skip to content

Commit d133c84

Browse files
committed
Use builtin jupyter notebook to show table
1 parent dc9411b commit d133c84

File tree

3 files changed

+475
-79
lines changed

3 files changed

+475
-79
lines changed

tutorials/Tutorial1-Introduction.ipynb

Lines changed: 172 additions & 26 deletions
Original file line numberDiff line numberDiff line change
@@ -90,7 +90,7 @@
9090
{
9191
"data": {
9292
"text/plain": [
93-
"<matplotlib.image.AxesImage at 0x206c10fec88>"
93+
"<matplotlib.image.AxesImage at 0x1c8c6201dc8>"
9494
]
9595
},
9696
"execution_count": 3,
@@ -133,7 +133,7 @@
133133
{
134134
"data": {
135135
"text/plain": [
136-
"<matplotlib.image.AxesImage at 0x206c11c8b88>"
136+
"<matplotlib.image.AxesImage at 0x1c8c62d0708>"
137137
]
138138
},
139139
"execution_count": 4,
@@ -199,32 +199,178 @@
199199
"name": "stdout",
200200
"output_type": "stream",
201201
"text": [
202-
"Found 18 hits\n",
203-
" TemplateName BBox Score\n",
204-
"0 small [80, 37, 41, 38] 1.000000\n",
205-
"1 small [133, 108, 41, 38] 0.860808\n",
206-
"2 small [134, 178, 41, 38] 0.816142\n",
207-
"3 small [82, 106, 41, 38] 0.800473\n",
208-
"4 small [316, 105, 41, 38] 0.747887\n",
209-
"5 small [23, 178, 41, 38] 0.742242\n",
210-
"6 small [185, 103, 41, 38] 0.685315\n",
211-
"7 small [257, 34, 41, 38] 0.657858\n",
212-
"8 small [26, 103, 41, 38] 0.617951\n",
213-
"9 small [22, 37, 41, 38] 0.606692\n",
214-
"10 small [335, 247, 41, 38] 0.585767\n",
215-
"11 small [227, 239, 41, 38] 0.578679\n",
216-
"12 small [95, 244, 41, 38] 0.576981\n",
217-
"13 small [286, 237, 41, 38] 0.543841\n",
218-
"14 small [251, 106, 41, 38] 0.525461\n",
219-
"15 small [157, 234, 41, 38] 0.524984\n",
220-
"16 small [134, 37, 41, 38] 0.511434\n",
221-
"17 small [196, 27, 41, 38] 0.506831\n"
202+
"Found 18 hits\n"
222203
]
204+
},
205+
{
206+
"data": {
207+
"text/html": [
208+
"<div>\n",
209+
"<style scoped>\n",
210+
" .dataframe tbody tr th:only-of-type {\n",
211+
" vertical-align: middle;\n",
212+
" }\n",
213+
"\n",
214+
" .dataframe tbody tr th {\n",
215+
" vertical-align: top;\n",
216+
" }\n",
217+
"\n",
218+
" .dataframe thead th {\n",
219+
" text-align: right;\n",
220+
" }\n",
221+
"</style>\n",
222+
"<table border=\"1\" class=\"dataframe\">\n",
223+
" <thead>\n",
224+
" <tr style=\"text-align: right;\">\n",
225+
" <th></th>\n",
226+
" <th>TemplateName</th>\n",
227+
" <th>BBox</th>\n",
228+
" <th>Score</th>\n",
229+
" </tr>\n",
230+
" </thead>\n",
231+
" <tbody>\n",
232+
" <tr>\n",
233+
" <th>0</th>\n",
234+
" <td>small</td>\n",
235+
" <td>[80, 37, 41, 38]</td>\n",
236+
" <td>1.000000</td>\n",
237+
" </tr>\n",
238+
" <tr>\n",
239+
" <th>1</th>\n",
240+
" <td>small</td>\n",
241+
" <td>[133, 108, 41, 38]</td>\n",
242+
" <td>0.860808</td>\n",
243+
" </tr>\n",
244+
" <tr>\n",
245+
" <th>2</th>\n",
246+
" <td>small</td>\n",
247+
" <td>[134, 178, 41, 38]</td>\n",
248+
" <td>0.816142</td>\n",
249+
" </tr>\n",
250+
" <tr>\n",
251+
" <th>3</th>\n",
252+
" <td>small</td>\n",
253+
" <td>[82, 106, 41, 38]</td>\n",
254+
" <td>0.800473</td>\n",
255+
" </tr>\n",
256+
" <tr>\n",
257+
" <th>4</th>\n",
258+
" <td>small</td>\n",
259+
" <td>[316, 105, 41, 38]</td>\n",
260+
" <td>0.747887</td>\n",
261+
" </tr>\n",
262+
" <tr>\n",
263+
" <th>5</th>\n",
264+
" <td>small</td>\n",
265+
" <td>[23, 178, 41, 38]</td>\n",
266+
" <td>0.742242</td>\n",
267+
" </tr>\n",
268+
" <tr>\n",
269+
" <th>6</th>\n",
270+
" <td>small</td>\n",
271+
" <td>[185, 103, 41, 38]</td>\n",
272+
" <td>0.685315</td>\n",
273+
" </tr>\n",
274+
" <tr>\n",
275+
" <th>7</th>\n",
276+
" <td>small</td>\n",
277+
" <td>[257, 34, 41, 38]</td>\n",
278+
" <td>0.657858</td>\n",
279+
" </tr>\n",
280+
" <tr>\n",
281+
" <th>8</th>\n",
282+
" <td>small</td>\n",
283+
" <td>[26, 103, 41, 38]</td>\n",
284+
" <td>0.617951</td>\n",
285+
" </tr>\n",
286+
" <tr>\n",
287+
" <th>9</th>\n",
288+
" <td>small</td>\n",
289+
" <td>[22, 37, 41, 38]</td>\n",
290+
" <td>0.606692</td>\n",
291+
" </tr>\n",
292+
" <tr>\n",
293+
" <th>10</th>\n",
294+
" <td>small</td>\n",
295+
" <td>[335, 247, 41, 38]</td>\n",
296+
" <td>0.585767</td>\n",
297+
" </tr>\n",
298+
" <tr>\n",
299+
" <th>11</th>\n",
300+
" <td>small</td>\n",
301+
" <td>[227, 239, 41, 38]</td>\n",
302+
" <td>0.578679</td>\n",
303+
" </tr>\n",
304+
" <tr>\n",
305+
" <th>12</th>\n",
306+
" <td>small</td>\n",
307+
" <td>[95, 244, 41, 38]</td>\n",
308+
" <td>0.576981</td>\n",
309+
" </tr>\n",
310+
" <tr>\n",
311+
" <th>13</th>\n",
312+
" <td>small</td>\n",
313+
" <td>[286, 237, 41, 38]</td>\n",
314+
" <td>0.543841</td>\n",
315+
" </tr>\n",
316+
" <tr>\n",
317+
" <th>14</th>\n",
318+
" <td>small</td>\n",
319+
" <td>[251, 106, 41, 38]</td>\n",
320+
" <td>0.525461</td>\n",
321+
" </tr>\n",
322+
" <tr>\n",
323+
" <th>15</th>\n",
324+
" <td>small</td>\n",
325+
" <td>[157, 234, 41, 38]</td>\n",
326+
" <td>0.524984</td>\n",
327+
" </tr>\n",
328+
" <tr>\n",
329+
" <th>16</th>\n",
330+
" <td>small</td>\n",
331+
" <td>[134, 37, 41, 38]</td>\n",
332+
" <td>0.511434</td>\n",
333+
" </tr>\n",
334+
" <tr>\n",
335+
" <th>17</th>\n",
336+
" <td>small</td>\n",
337+
" <td>[196, 27, 41, 38]</td>\n",
338+
" <td>0.506831</td>\n",
339+
" </tr>\n",
340+
" </tbody>\n",
341+
"</table>\n",
342+
"</div>"
343+
],
344+
"text/plain": [
345+
" TemplateName BBox Score\n",
346+
"0 small [80, 37, 41, 38] 1.000000\n",
347+
"1 small [133, 108, 41, 38] 0.860808\n",
348+
"2 small [134, 178, 41, 38] 0.816142\n",
349+
"3 small [82, 106, 41, 38] 0.800473\n",
350+
"4 small [316, 105, 41, 38] 0.747887\n",
351+
"5 small [23, 178, 41, 38] 0.742242\n",
352+
"6 small [185, 103, 41, 38] 0.685315\n",
353+
"7 small [257, 34, 41, 38] 0.657858\n",
354+
"8 small [26, 103, 41, 38] 0.617951\n",
355+
"9 small [22, 37, 41, 38] 0.606692\n",
356+
"10 small [335, 247, 41, 38] 0.585767\n",
357+
"11 small [227, 239, 41, 38] 0.578679\n",
358+
"12 small [95, 244, 41, 38] 0.576981\n",
359+
"13 small [286, 237, 41, 38] 0.543841\n",
360+
"14 small [251, 106, 41, 38] 0.525461\n",
361+
"15 small [157, 234, 41, 38] 0.524984\n",
362+
"16 small [134, 37, 41, 38] 0.511434\n",
363+
"17 small [196, 27, 41, 38] 0.506831"
364+
]
365+
},
366+
"execution_count": 6,
367+
"metadata": {},
368+
"output_type": "execute_result"
223369
}
224370
],
225371
"source": [
226372
"print(\"Found {} hits\".format( len(Hits.index) ) )\n",
227-
"print(Hits)"
373+
"Hits"
228374
]
229375
},
230376
{
@@ -249,16 +395,16 @@
249395
},
250396
{
251397
"cell_type": "code",
252-
"execution_count": 7,
398+
"execution_count": 8,
253399
"metadata": {},
254400
"outputs": [
255401
{
256402
"data": {
257403
"text/plain": [
258-
"<matplotlib.image.AxesImage at 0x206c12717c8>"
404+
"<matplotlib.image.AxesImage at 0x1d438c62608>"
259405
]
260406
},
261-
"execution_count": 7,
407+
"execution_count": 8,
262408
"metadata": {},
263409
"output_type": "execute_result"
264410
},

0 commit comments

Comments
 (0)