Choose Statements--这个命令可对报表的每行进行选择性编辑
2010-08-02 16:59
197 查看
我们来看看具体的吧::
Use the choose, when, and otherwise elements to express multiple conditional tests. If certain conditions are met in the incoming XML data then specific sections of the template will be rendered. This is a very powerful feature of the RTF template. In regular XSL programming, if a condition is met in the choose command then further XSL code is executed. In the template, however, you can actually use visual widgets in the conditional flow (in the following example, a table).
Use the following syntax for these elements:
<?choose:?>
<?when:expression?>
<?otherwise?>
以上是帮助文档里的原文,我在做了实验后,自己做了如下注解:
本示例引用的数据源见附1; 该示例的结果是,当wdpower列中数据为-1的时候,数据显示模式如第一行,黄色底色,红字,而且,为-1时显示(无采样数据)。
想学习的朋友,可以直接将附1的文件,做成xml文件,然后导入预览一下。
附1:
<DATA><wd_power><WD_POWER_ROW>
<d_time>1</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>2</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>3</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>4</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>5</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>6</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>7</d_time>
<wd_power>4</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>8</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>9</d_time>
<wd_power>5</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>10</d_time>
<wd_power>2</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>11</d_time>
<wd_power>4</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>12</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>13</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>14</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>15</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>16</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>17</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>18</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>19</d_time>
<wd_power>872</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>20</d_time>
<wd_power>2</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>21</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>22</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>23</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>24</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW></wd_power><fl><FL_ROW>
<d_time>1</d_time>
<fs>1.3</fs>
</FL_ROW><FL_ROW>
<d_time>2</d_time>
<fs>1.3</fs>
</FL_ROW><FL_ROW>
<d_time>3</d_time>
<fs>1.7</fs>
</FL_ROW><FL_ROW>
<d_time>4</d_time>
<fs>0.8</fs>
</FL_ROW><FL_ROW>
<d_time>5</d_time>
<fs>0.6</fs>
</FL_ROW><FL_ROW>
<d_time>6</d_time>
<fs>2.2</fs>
</FL_ROW><FL_ROW>
<d_time>7</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>8</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>9</d_time>
<fs>1.0</fs>
</FL_ROW><FL_ROW>
<d_time>10</d_time>
<fs>2.3</fs>
</FL_ROW><FL_ROW>
<d_time>11</d_time>
<fs>1.5</fs>
</FL_ROW><FL_ROW>
<d_time>12</d_time>
<fs>4.2</fs>
</FL_ROW><FL_ROW>
<d_time>13</d_time>
<fs>6.2</fs>
</FL_ROW><FL_ROW>
<d_time>14</d_time>
<fs>6.0</fs>
</FL_ROW><FL_ROW>
<d_time>15</d_time>
<fs>3.2</fs>
</FL_ROW><FL_ROW>
<d_time>16</d_time>
<fs>3.0</fs>
</FL_ROW><FL_ROW>
<d_time>17</d_time>
<fs>5.7</fs>
</FL_ROW><FL_ROW>
<d_time>18</d_time>
<fs>9.5</fs>
</FL_ROW><FL_ROW>
<d_time>19</d_time>
<fs>3.0</fs>
</FL_ROW><FL_ROW>
<d_time>20</d_time>
<fs>2.4</fs>
</FL_ROW><FL_ROW>
<d_time>21</d_time>
<fs>1.1</fs>
</FL_ROW><FL_ROW>
<d_time>22</d_time>
<fs>0.9</fs>
</FL_ROW><FL_ROW>
<d_time>23</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>24</d_time>
<fs>0.0</fs>
</FL_ROW></fl><wind_data><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.0</wdpower>
<d_time/>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time/>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.8</wdpower>
<d_time>0</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>14.0</wdpower>
<d_time>0</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.3</wdpower>
<d_time>1</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>1</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.3</wdpower>
<d_time>2</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>2</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.7</wdpower>
<d_time>3</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>3</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.8</wdpower>
<d_time>4</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>4</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.6</wdpower>
<d_time>5</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>5</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.2</wdpower>
<d_time>6</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>0.0</wdpower>
<d_time>6</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>7</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>4.0</wdpower>
<d_time>7</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>8</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>8</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.0</wdpower>
<d_time>9</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>5.0</wdpower>
<d_time>9</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.3</wdpower>
<d_time>10</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>2.0</wdpower>
<d_time>10</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.5</wdpower>
<d_time>11</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>4.0</wdpower>
<d_time>11</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>4.2</wdpower>
<d_time>12</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>12</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>6.2</wdpower>
<d_time>13</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>13</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>6.0</wdpower>
<d_time>14</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>14</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.2</wdpower>
<d_time>15</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>15</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.0</wdpower>
<d_time>16</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>16</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>5.7</wdpower>
<d_time>17</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>17</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>9.5</wdpower>
<d_time>18</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>18</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.0</wdpower>
<d_time>19</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>872.0</wdpower>
<d_time>19</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.4</wdpower>
<d_time>20</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>2.0</wdpower>
<d_time>20</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.1</wdpower>
<d_time>21</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>21</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.9</wdpower>
<d_time>22</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>22</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>23</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>23</d_time>
</WIND_DATA_ROW></wind_data><wind_head><WIND_HEAD_ROW>
<seqid>60</seqid>
<stime>2010-07-29</stime>
</WIND_HEAD_ROW></wind_head><wind_data1><WIND_DATA1_ROW>
<dayday>0</dayday>
<wdpower>14</wdpower>
<fs>1.8</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>1</dayday>
<wdpower>7</wdpower>
<fs>1.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>2</dayday>
<wdpower>7</wdpower>
<fs>1.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>3</dayday>
<wdpower>-1</wdpower>
<fs>1.7</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>4</dayday>
<wdpower>-1</wdpower>
<fs>0.8</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>5</dayday>
<wdpower>-1</wdpower>
<fs>0.6</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>6</dayday>
<wdpower>0</wdpower>
<fs>2.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>7</dayday>
<wdpower>4</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>8</dayday>
<wdpower>7</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>9</dayday>
<wdpower>5</wdpower>
<fs>1.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>10</dayday>
<wdpower>2</wdpower>
<fs>2.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>11</dayday>
<wdpower>4</wdpower>
<fs>1.5</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>12</dayday>
<wdpower>-1</wdpower>
<fs>4.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>13</dayday>
<wdpower>-1</wdpower>
<fs>6.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>14</dayday>
<wdpower>-1</wdpower>
<fs>6.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>15</dayday>
<wdpower>-1</wdpower>
<fs>3.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>16</dayday>
<wdpower>-1</wdpower>
<fs>3.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>17</dayday>
<wdpower>-1</wdpower>
<fs>5.7</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>18</dayday>
<wdpower>-1</wdpower>
<fs>9.5</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>19</dayday>
<wdpower>872</wdpower>
<fs>3.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>20</dayday>
<wdpower>2</wdpower>
<fs>2.4</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>21</dayday>
<wdpower>-1</wdpower>
<fs>1.1</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>22</dayday>
<wdpower>-1</wdpower>
<fs>0.9</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>23</dayday>
<wdpower>-1</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW></wind_data1></DATA>
Use the choose, when, and otherwise elements to express multiple conditional tests. If certain conditions are met in the incoming XML data then specific sections of the template will be rendered. This is a very powerful feature of the RTF template. In regular XSL programming, if a condition is met in the choose command then further XSL code is executed. In the template, however, you can actually use visual widgets in the conditional flow (in the following example, a table).
Use the following syntax for these elements:
<?choose:?>
<?when:expression?>
<?otherwise?>
以上是帮助文档里的原文,我在做了实验后,自己做了如下注解:
本示例引用的数据源见附1; 该示例的结果是,当wdpower列中数据为-1的时候,数据显示模式如第一行,黄色底色,红字,而且,为-1时显示(无采样数据)。
F | 域内容:<?for-each:WIND_DATA1_ROW?> |
<?choose:?> | 注意,要写冒号 |
<?When: wdpower=’-1’?> | 注意,when后写冒号,当wdpower=某个值时,这一行如此显示 |
<?end When?> | 写在行结尾处,when条件结束 |
<?otherwise:?> | 例外,除了when指定的那一行,其他行都按例外指示的显示,注意冒号 |
<?end otherwise?> | 例外结束 |
<?end choose?> | Choose函数结束 |
Dayday | Wdpower | Fs |
F <?choose:?><?When: wdpower=’-1’?>dayday | (无采样数据) | fs <?end When?> |
<?otherwise:?> dayday | wdpower | fs <?end otherwise?> <?end choose?> E |
附1:
<DATA><wd_power><WD_POWER_ROW>
<d_time>1</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>2</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>3</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>4</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>5</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>6</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>7</d_time>
<wd_power>4</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>8</d_time>
<wd_power>7</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>9</d_time>
<wd_power>5</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>10</d_time>
<wd_power>2</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>11</d_time>
<wd_power>4</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>12</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>13</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>14</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>15</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>16</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>17</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>18</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>19</d_time>
<wd_power>872</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>20</d_time>
<wd_power>2</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>21</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>22</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>23</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW><WD_POWER_ROW>
<d_time>24</d_time>
<wd_power>0</wd_power>
</WD_POWER_ROW></wd_power><fl><FL_ROW>
<d_time>1</d_time>
<fs>1.3</fs>
</FL_ROW><FL_ROW>
<d_time>2</d_time>
<fs>1.3</fs>
</FL_ROW><FL_ROW>
<d_time>3</d_time>
<fs>1.7</fs>
</FL_ROW><FL_ROW>
<d_time>4</d_time>
<fs>0.8</fs>
</FL_ROW><FL_ROW>
<d_time>5</d_time>
<fs>0.6</fs>
</FL_ROW><FL_ROW>
<d_time>6</d_time>
<fs>2.2</fs>
</FL_ROW><FL_ROW>
<d_time>7</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>8</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>9</d_time>
<fs>1.0</fs>
</FL_ROW><FL_ROW>
<d_time>10</d_time>
<fs>2.3</fs>
</FL_ROW><FL_ROW>
<d_time>11</d_time>
<fs>1.5</fs>
</FL_ROW><FL_ROW>
<d_time>12</d_time>
<fs>4.2</fs>
</FL_ROW><FL_ROW>
<d_time>13</d_time>
<fs>6.2</fs>
</FL_ROW><FL_ROW>
<d_time>14</d_time>
<fs>6.0</fs>
</FL_ROW><FL_ROW>
<d_time>15</d_time>
<fs>3.2</fs>
</FL_ROW><FL_ROW>
<d_time>16</d_time>
<fs>3.0</fs>
</FL_ROW><FL_ROW>
<d_time>17</d_time>
<fs>5.7</fs>
</FL_ROW><FL_ROW>
<d_time>18</d_time>
<fs>9.5</fs>
</FL_ROW><FL_ROW>
<d_time>19</d_time>
<fs>3.0</fs>
</FL_ROW><FL_ROW>
<d_time>20</d_time>
<fs>2.4</fs>
</FL_ROW><FL_ROW>
<d_time>21</d_time>
<fs>1.1</fs>
</FL_ROW><FL_ROW>
<d_time>22</d_time>
<fs>0.9</fs>
</FL_ROW><FL_ROW>
<d_time>23</d_time>
<fs>1.2</fs>
</FL_ROW><FL_ROW>
<d_time>24</d_time>
<fs>0.0</fs>
</FL_ROW></fl><wind_data><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.0</wdpower>
<d_time/>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time/>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.8</wdpower>
<d_time>0</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>14.0</wdpower>
<d_time>0</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.3</wdpower>
<d_time>1</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>1</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.3</wdpower>
<d_time>2</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>2</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.7</wdpower>
<d_time>3</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>3</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.8</wdpower>
<d_time>4</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>4</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.6</wdpower>
<d_time>5</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>5</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.2</wdpower>
<d_time>6</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>0.0</wdpower>
<d_time>6</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>7</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>4.0</wdpower>
<d_time>7</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>8</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>7.0</wdpower>
<d_time>8</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.0</wdpower>
<d_time>9</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>5.0</wdpower>
<d_time>9</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.3</wdpower>
<d_time>10</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>2.0</wdpower>
<d_time>10</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.5</wdpower>
<d_time>11</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>4.0</wdpower>
<d_time>11</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>4.2</wdpower>
<d_time>12</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>12</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>6.2</wdpower>
<d_time>13</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>13</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>6.0</wdpower>
<d_time>14</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>14</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.2</wdpower>
<d_time>15</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>15</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.0</wdpower>
<d_time>16</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>16</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>5.7</wdpower>
<d_time>17</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>17</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>9.5</wdpower>
<d_time>18</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>18</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>3.0</wdpower>
<d_time>19</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>872.0</wdpower>
<d_time>19</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>2.4</wdpower>
<d_time>20</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>2.0</wdpower>
<d_time>20</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.1</wdpower>
<d_time>21</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>21</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>0.9</wdpower>
<d_time>22</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>22</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgfl</avgpower>
<wdpower>1.2</wdpower>
<d_time>23</d_time>
</WIND_DATA_ROW><WIND_DATA_ROW>
<avgpower>avgpower</avgpower>
<wdpower>-1.0</wdpower>
<d_time>23</d_time>
</WIND_DATA_ROW></wind_data><wind_head><WIND_HEAD_ROW>
<seqid>60</seqid>
<stime>2010-07-29</stime>
</WIND_HEAD_ROW></wind_head><wind_data1><WIND_DATA1_ROW>
<dayday>0</dayday>
<wdpower>14</wdpower>
<fs>1.8</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>1</dayday>
<wdpower>7</wdpower>
<fs>1.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>2</dayday>
<wdpower>7</wdpower>
<fs>1.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>3</dayday>
<wdpower>-1</wdpower>
<fs>1.7</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>4</dayday>
<wdpower>-1</wdpower>
<fs>0.8</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>5</dayday>
<wdpower>-1</wdpower>
<fs>0.6</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>6</dayday>
<wdpower>0</wdpower>
<fs>2.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>7</dayday>
<wdpower>4</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>8</dayday>
<wdpower>7</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>9</dayday>
<wdpower>5</wdpower>
<fs>1.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>10</dayday>
<wdpower>2</wdpower>
<fs>2.3</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>11</dayday>
<wdpower>4</wdpower>
<fs>1.5</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>12</dayday>
<wdpower>-1</wdpower>
<fs>4.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>13</dayday>
<wdpower>-1</wdpower>
<fs>6.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>14</dayday>
<wdpower>-1</wdpower>
<fs>6.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>15</dayday>
<wdpower>-1</wdpower>
<fs>3.2</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>16</dayday>
<wdpower>-1</wdpower>
<fs>3.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>17</dayday>
<wdpower>-1</wdpower>
<fs>5.7</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>18</dayday>
<wdpower>-1</wdpower>
<fs>9.5</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>19</dayday>
<wdpower>872</wdpower>
<fs>3.0</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>20</dayday>
<wdpower>2</wdpower>
<fs>2.4</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>21</dayday>
<wdpower>-1</wdpower>
<fs>1.1</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>22</dayday>
<wdpower>-1</wdpower>
<fs>0.9</fs>
</WIND_DATA1_ROW><WIND_DATA1_ROW>
<dayday>23</dayday>
<wdpower>-1</wdpower>
<fs>1.2</fs>
</WIND_DATA1_ROW></wind_data1></DATA>
相关文章推荐
- chmod +x *.sh 这个命令是为sh文件增加可执行权限; chmod +R 777 *.* 对当前目录下的所有子目录和子文件进行 777权限的变更;通在安装软件时复制相关文件。
- 在交换机中对对个端口进行编辑操作的命令
- 利用Centos 7内置的 crontab 进行系统的定时关机 格式: * * * * * command 分 时 日 月 周 命令 1 2 3 #编辑定时任务: crontab -e
- linux 下vi进行文件编辑的常用命令1
- 编辑mac系统环境变量后保存,提示没有权限用到下面这个命令
- 今天在Mac机器上使用了Flex Builder编辑了一个源代码文件,保存后使用vim命令去打开时发现系统自动在每一行的结尾添加了^M符号,其实^M在Linux/Unix中是非常常见的,也就是我们在Win中见过的/r回车符号。由于编辑软件的编码问题,某些IDE的编辑器在编辑完文件之后会自动加上这个^M符号。看起来对我们的源代码没有任何影响,其实并不然,当我们把源代码文件Check In到svn之类
- vim编辑模式/vim命令模式/vim实践
- struts2+ireport进行报表开发
- Vi常用命令(二)编辑
- 使用ActiveReports for .net 进行报表开发(十)--交叉变换背景 (转)
- 在linux下一般用scp这个命令来通过ssh传输文件。
- VS2010与.NET4系列 22.使用VS2010进行框选择和多行编辑
- 常用vi编辑命令
- vim编辑模式、vim命令模式
- 使用C#和Excel进行报表开发(五)-操作单元格边框和颜色
- 思达报表工具Style Report基础教程—用选择列表,选择树进行数据过滤
- Vi编辑命令
- Linux vim编辑命令总结
- Linux文件编辑命令vi详细整理(总结)
- 随意写一个十进制的自然数(如2583),然后求这个数目字的平方和(2^2+5^2+8^2+3^2=102),对得出来的数(102)再用此法处理(1^2+0^2+2^2=5),并一直照此进行下去(5^2