|
2 | 2 | "cells": [ |
3 | 3 | { |
4 | 4 | "cell_type": "code", |
5 | | - "execution_count": null, |
| 5 | + "execution_count": 1, |
6 | 6 | "id": "d10bfca4", |
7 | 7 | "metadata": {}, |
8 | 8 | "outputs": [], |
|
32 | 32 | }, |
33 | 33 | { |
34 | 34 | "cell_type": "code", |
35 | | - "execution_count": null, |
| 35 | + "execution_count": 1, |
36 | 36 | "id": "ca22f059", |
37 | 37 | "metadata": {}, |
38 | 38 | "outputs": [], |
|
50 | 50 | }, |
51 | 51 | { |
52 | 52 | "cell_type": "code", |
53 | | - "execution_count": null, |
| 53 | + "execution_count": 2, |
54 | 54 | "id": "1bc5aaf3", |
55 | 55 | "metadata": {}, |
56 | 56 | "outputs": [], |
|
69 | 69 | }, |
70 | 70 | { |
71 | 71 | "cell_type": "code", |
72 | | - "execution_count": null, |
| 72 | + "execution_count": 3, |
73 | 73 | "id": "f289d250", |
74 | 74 | "metadata": {}, |
75 | 75 | "outputs": [ |
|
96 | 96 | }, |
97 | 97 | { |
98 | 98 | "cell_type": "code", |
99 | | - "execution_count": null, |
| 99 | + "execution_count": 4, |
100 | 100 | "id": "42bb02ab", |
101 | 101 | "metadata": {}, |
102 | 102 | "outputs": [ |
|
123 | 123 | }, |
124 | 124 | { |
125 | 125 | "cell_type": "code", |
126 | | - "execution_count": null, |
| 126 | + "execution_count": 5, |
127 | 127 | "id": "ce250157", |
128 | 128 | "metadata": {}, |
129 | 129 | "outputs": [ |
130 | | - { |
131 | | - "data": { |
132 | | - "text/html": [ |
133 | | - "Query job 1171b7b3-3f65-4165-a69d-69dad5a100d1 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:1171b7b3-3f65-4165-a69d-69dad5a100d1&page=queryresults\">Open Job</a>" |
134 | | - ], |
135 | | - "text/plain": [ |
136 | | - "<IPython.core.display.HTML object>" |
137 | | - ] |
138 | | - }, |
139 | | - "metadata": {}, |
140 | | - "output_type": "display_data" |
141 | | - }, |
142 | 130 | { |
143 | 131 | "data": { |
144 | 132 | "application/vnd.jupyter.widget-view+json": { |
145 | | - "model_id": "6b70bf0e30a04a3cab11e03b2ed80856", |
| 133 | + "model_id": "a85f5799996d4de1a7912182c43fdf54", |
146 | 134 | "version_major": 2, |
147 | 135 | "version_minor": 1 |
148 | 136 | }, |
|
179 | 167 | }, |
180 | 168 | { |
181 | 169 | "cell_type": "code", |
182 | | - "execution_count": null, |
| 170 | + "execution_count": 6, |
183 | 171 | "id": "6920d49b", |
184 | 172 | "metadata": {}, |
185 | 173 | "outputs": [ |
186 | | - { |
187 | | - "data": { |
188 | | - "text/html": [ |
189 | | - "Query job 3100859b-c57c-42fe-a5fb-abb4f2f25db2 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:3100859b-c57c-42fe-a5fb-abb4f2f25db2&page=queryresults\">Open Job</a>" |
190 | | - ], |
191 | | - "text/plain": [ |
192 | | - "<IPython.core.display.HTML object>" |
193 | | - ] |
194 | | - }, |
195 | | - "metadata": {}, |
196 | | - "output_type": "display_data" |
197 | | - }, |
198 | 174 | { |
199 | 175 | "name": "stdout", |
200 | 176 | "output_type": "stream", |
|
205 | 181 | { |
206 | 182 | "data": { |
207 | 183 | "application/vnd.jupyter.widget-view+json": { |
208 | | - "model_id": "4714b0794f55435a8d3e136517158a5c", |
| 184 | + "model_id": "261075a0d1d2487f804926884fe55eb2", |
209 | 185 | "version_major": 2, |
210 | 186 | "version_minor": 1 |
211 | 187 | }, |
212 | 188 | "text/plain": [ |
213 | 189 | "TableWidget(page_size=10, row_count=5552452, table_html='<table border=\"1\" class=\"dataframe table table-stripe…" |
214 | | - "TableWidget(page_size=10, row_count=5552452, table_html='<table border=\"1\" class=\"dataframe table table-stripe…" |
215 | 190 | ] |
216 | 191 | }, |
217 | 192 | "execution_count": 6, |
|
241 | 216 | }, |
242 | 217 | { |
243 | 218 | "cell_type": "code", |
244 | | - "execution_count": null, |
| 219 | + "execution_count": 7, |
245 | 220 | "id": "12b68f15", |
246 | 221 | "metadata": {}, |
247 | 222 | "outputs": [ |
|
278 | 253 | }, |
279 | 254 | { |
280 | 255 | "cell_type": "code", |
281 | | - "execution_count": null, |
| 256 | + "execution_count": 8, |
282 | 257 | "id": "a9d5d13a", |
283 | 258 | "metadata": {}, |
284 | 259 | "outputs": [ |
285 | 260 | { |
286 | 261 | "name": "stderr", |
287 | 262 | "output_type": "stream", |
288 | 263 | "text": [ |
289 | | - "/usr/local/google/home/shuowei/src/python-bigquery-dataframes/bigframes/core/array_value.py:230: AmbiguousWindowWarning: Window ordering may be ambiguous, this can cause unstable results.\n", |
| 264 | + "/usr/local/google/home/swast/src/github.com/googleapis/python-bigquery-dataframes/bigframes/core/array_value.py:231: AmbiguousWindowWarning: Window ordering may be ambiguous, this can cause unstable results.\n", |
290 | 265 | " warnings.warn(msg, bfe.AmbiguousWindowWarning)\n" |
291 | 266 | ] |
292 | 267 | }, |
293 | | - { |
294 | | - "data": { |
295 | | - "text/html": [ |
296 | | - "Query job b4143f15-4bac-44a5-bb29-c5056f95b30b is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:b4143f15-4bac-44a5-bb29-c5056f95b30b&page=queryresults\">Open Job</a>" |
297 | | - ], |
298 | | - "text/plain": [ |
299 | | - "<IPython.core.display.HTML object>" |
300 | | - ] |
301 | | - }, |
302 | | - "metadata": {}, |
303 | | - "output_type": "display_data" |
304 | | - }, |
305 | 268 | { |
306 | 269 | "name": "stdout", |
307 | 270 | "output_type": "stream", |
|
312 | 275 | { |
313 | 276 | "data": { |
314 | 277 | "application/vnd.jupyter.widget-view+json": { |
315 | | - "model_id": "c70b5611db6b4e6a806a16d0a8287cd3", |
| 278 | + "model_id": "b37aec5d1c534e9f810e18c4fa7b8491", |
316 | 279 | "version_major": 2, |
317 | 280 | "version_minor": 1 |
318 | 281 | }, |
319 | 282 | "text/plain": [ |
320 | 283 | "TableWidget(page_size=10, row_count=5, table_html='<table border=\"1\" class=\"dataframe table table-striped tabl…" |
321 | | - "TableWidget(page_size=10, row_count=5, table_html='<table border=\"1\" class=\"dataframe table table-striped tabl…" |
322 | 284 | ] |
323 | 285 | }, |
324 | 286 | "execution_count": 8, |
|
333 | 295 | "print(f\"Small dataset pages: {math.ceil(small_widget.row_count / small_widget.page_size)}\")\n", |
334 | 296 | "small_widget" |
335 | 297 | ] |
| 298 | + }, |
| 299 | + { |
| 300 | + "cell_type": "code", |
| 301 | + "execution_count": null, |
| 302 | + "id": "c4e5836b-c872-4a9c-b9ec-14f6f338176d", |
| 303 | + "metadata": {}, |
| 304 | + "outputs": [], |
| 305 | + "source": [] |
336 | 306 | } |
337 | 307 | ], |
338 | 308 | "metadata": { |
339 | 309 | "kernelspec": { |
340 | | - "display_name": "venv", |
| 310 | + "display_name": "Python 3 (ipykernel)", |
341 | 311 | "language": "python", |
342 | 312 | "name": "python3" |
343 | 313 | }, |
|
351 | 321 | "name": "python", |
352 | 322 | "nbconvert_exporter": "python", |
353 | 323 | "pygments_lexer": "ipython3", |
354 | | - "version": "3.10.15" |
| 324 | + "version": "3.10.16" |
355 | 325 | } |
356 | 326 | }, |
357 | 327 | "nbformat": 4, |
|
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