Pandas：如何合并行
Pandas: How to combine rows
'<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>CDS_CODE</th> <th>COUNTY</th> <th>DISTRICT</th> <th>SCHOOL</th> <th>KDGN</th> <th>GR_1</th> <th>GR_2</th> <th>GR_3</th> <th>GR_4</th> <th>GR_5</th> <th>GR_6</th> <th>GR_7</th> <th>GR_8</th> <th>UNGR_ELM</th> <th>GR_9</th> <th>GR_10</th> <th>GR_11</th> <th>GR_12</th> <th>UNGR_SEC</th> <th>ENR_TOTAL</th> <th>ADULT</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>12</td> <td>16</td> <td>6</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>34</td> <td>0</td> </tr> <tr> <th>1</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>3</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>4</td> <td>0</td> </tr> <tr> <th>2</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>23</td> <td>30</td> <td>22</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>75</td> <td>0</td> </tr> <tr> <th>3</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> <td>0</td> </tr> <tr> <th>4</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>5</td> <td>15</td> <td>13</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>33</td> <td>0</td> </tr> </tbody></table>'
这是我的数据框的头部。我想知道是否有办法将每个年级结合在一起。也就是说，将这 5 行合并为 1 行。帮忙??
让我们试试这个：
df.filter(like='GR').sum()
输出：
GR_1 0
GR_2 0
GR_3 0
GR_4 0
GR_5 0
GR_6 42
GR_7 61
GR_8 46
UNGR_ELM 0
GR_9 0
GR_10 0
GR_11 0
GR_12 0
UNGR_SEC 0
'<table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>CDS_CODE</th> <th>COUNTY</th> <th>DISTRICT</th> <th>SCHOOL</th> <th>KDGN</th> <th>GR_1</th> <th>GR_2</th> <th>GR_3</th> <th>GR_4</th> <th>GR_5</th> <th>GR_6</th> <th>GR_7</th> <th>GR_8</th> <th>UNGR_ELM</th> <th>GR_9</th> <th>GR_10</th> <th>GR_11</th> <th>GR_12</th> <th>UNGR_SEC</th> <th>ENR_TOTAL</th> <th>ADULT</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>12</td> <td>16</td> <td>6</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>34</td> <td>0</td> </tr> <tr> <th>1</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>3</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>4</td> <td>0</td> </tr> <tr> <th>2</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>23</td> <td>30</td> <td>22</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>75</td> <td>0</td> </tr> <tr> <th>3</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>1</td> <td>0</td> <td>2</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>3</td> <td>0</td> </tr> <tr> <th>4</th> <td>1611436056865</td> <td>Alameda</td> <td>Berkeley Unified</td> <td>Willard Middle</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>5</td> <td>15</td> <td>13</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>0</td> <td>33</td> <td>0</td> </tr> </tbody></table>'
这是我的数据框的头部。我想知道是否有办法将每个年级结合在一起。也就是说，将这 5 行合并为 1 行。帮忙??
让我们试试这个：
df.filter(like='GR').sum()
输出：
GR_1 0
GR_2 0
GR_3 0
GR_4 0
GR_5 0
GR_6 42
GR_7 61
GR_8 46
UNGR_ELM 0
GR_9 0
GR_10 0
GR_11 0
GR_12 0
UNGR_SEC 0