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85 | 85 | <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
86 | 86 | </tr> |
87 | 87 | <tr height=36 style='height:27.0pt'> |
88 | | - <td rowspan=12 height=342 class=xl93 width=127 style='height:256.5pt; |
89 | | - border-top:none;width:95pt'>Container</td> |
| 88 | + <td rowspan=13 height=378 class=xl93 width=127 style='border-bottom:.5pt solid black; |
| 89 | + height:283.5pt;border-top:none;width:95pt'>Container</td> |
90 | 90 | <td class=xl69 width=434 style='border-top:none;border-left:none;width:326pt'>void |
91 | 91 | create_index(string column_name, IndexType index_type=DEFAULT, <font |
92 | 92 | class="font9">name=None</font><font class="font6">)</font></td> |
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193 | 193 | <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
194 | 194 | </tr> |
195 | 195 | <tr height=36 style='height:27.0pt'> |
196 | | - <td height=36 class=xl83 width=127 style='height:27.0pt;width:95pt'>QueryAnalysisEntry</td> |
| 196 | + <td height=36 class=xl112 width=434 style='height:27.0pt;border-top:none; |
| 197 | + border-left:none;width:326pt'>void put_rows(pandas.DataFrame input)</td> |
| 198 | + <td class=xl113 width=454 style='border-top:none;border-left:none;width:341pt'>Newly |
| 199 | + creates an arbitrary number of Row with pandas.DataFrame</td> |
| 200 | + <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
| 201 | + <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
| 202 | + </tr> |
| 203 | + <tr height=36 style='height:27.0pt'> |
| 204 | + <td height=36 class=xl83 width=127 style='height:27.0pt;border-top:none; |
| 205 | + width:95pt'>QueryAnalysisEntry</td> |
197 | 206 | <td class=xl69 width=434 style='border-top:none;border-left:none;width:326pt'>list |
198 | 207 | get()</td> |
199 | 208 | <td class=xl80 width=454 style='border-top:none;border-left:none;width:341pt'>Returns |
|
358 | 367 | "val2", "val3"]</td> |
359 | 368 | </tr> |
360 | 369 | <tr height=18 style='height:13.5pt'> |
361 | | - <td rowspan=7 height=198 class=xl83 width=127 style='height:148.5pt; |
| 370 | + <td rowspan=8 height=216 class=xl83 width=127 style='height:162.0pt; |
362 | 371 | width:95pt'>RowSet</td> |
363 | 372 | <td class=xl69 width=434 style='border-top:none;border-left:none;width:326pt'>void |
364 | 373 | remove()</td> |
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421 | 430 | <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'>["ts", |
422 | 431 | "val"]</td> |
423 | 432 | </tr> |
| 433 | + <tr height=18 style='height:13.5pt'> |
| 434 | + <td height=18 class=xl112 width=434 style='height:13.5pt;border-top:none; |
| 435 | + border-left:none;width:326pt'>pandas.DataFrame RowSet.fetch_rows()</td> |
| 436 | + <td class=xl113 width=454 style='border-top:none;border-left:none;width:341pt'>Get |
| 437 | + pandas.DataFrame<span style='mso-spacerun:yes'> </span></td> |
| 438 | + <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
| 439 | + <td class=xl69 width=295 style='border-top:none;border-left:none;width:221pt'> </td> |
| 440 | + </tr> |
424 | 441 | <tr height=36 style='height:27.0pt'> |
425 | 442 | <td rowspan=9 height=306 class=xl94 width=127 style='height:229.5pt; |
426 | 443 | width:95pt'>Store</td> |
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659 | 676 | <td class=xl81 width=295 style='width:221pt'></td> |
660 | 677 | <td class=xl81 width=295 style='width:221pt'></td> |
661 | 678 | </tr> |
| 679 | + <tr height=18 style='height:13.5pt'> |
| 680 | + <td height=18 class=xl114 colspan=2 style='height:13.5pt;mso-ignore:colspan'>Note: |
| 681 | + green is added by Python Client 0.8.3</td> |
| 682 | + <td class=xl79 width=454 style='width:341pt'></td> |
| 683 | + <td class=xl81 width=295 style='width:221pt'></td> |
| 684 | + <td class=xl81 width=295 style='width:221pt'></td> |
| 685 | + </tr> |
662 | 686 | <![if supportMisalignedColumns]> |
663 | 687 | <tr height=0 style='display:none'> |
664 | 688 | <td width=127 style='width:95pt'></td> |
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