问题描述
是否有任何简单且本地化的方法将每个页面选择器的html呈现添加到ListView的分页器上?我看了看文档:
找到了我需要的一切,除了渲染页面大小选择器。这有点奇怪,因为这是非常常见的功能。
解决方法
没有本地方法可以执行此操作,您可以创建自己的方法或使用此方法:
在模型过滤器中定义:
class YOUR_CLASS_FILTER extend YOUR_MODEL
...
public $pagesize; // Property pagesize.
const ITEMS_PER_PAGE_INIT = 12; // Initial items per page
...
//Add or edit this in the same model `search` method:
public function search($params){
...
$dataProvider = new ActiveDataProvider([
'query' => $query,'pagination' => [
// this $params['pagesize'] is an id of dropdown list that we set in view file
'pagesize' => ($this->pagesize) ? $this->pagesize : self::ITEMS_PER_PAGE_INIT,],]);
...
}
...
public function rules()
{
return [
...
[['pagesize'],'integer'],...
];
}
...
/**
* Return Static Array of elements per page
* @return array
*/
public static function itemsPerPage()
{
return array(
12 => 12,24 => 24,48 => 48
);
}
}
这是我在视图文件中实现的方式:
<?= $form->field($filter,'pagesize')->dropDownList(
$filter->itemsPerPage(),array(
'id' => 'pagesize','class' => 'form-control','onchange' => 'this.form.submit()',))->label("Items per page: ")
?>
,
创建一个包含指向当前页面链接的菜单,并使用不同的每页选项作为GET参数:
import six
import pandas as pd
import numpy as np
def render_mpl_table (data,col_width=1.0,row_height=0.625,font_size=8,header_color='#40466e',row_colors=['#f1f1f2','w'],edge_color='w',bbox=[0,1,1],header_columns=0,ax=None,**kwargs):
if ax is None:
size = (np.array (data.shape [::-1]) + np.array ([0,1])) * np.array ([col_width,row_height])
fig,ax = plt.subplots (figsize=size)
ax.axis ('off')
mpl_table = ax.table (cellText=data.values,bbox=bbox,colLabels=data.columns,**kwargs)
mpl_table.auto_set_font_size (False)
mpl_table.set_fontsize (font_size)
for k,cell in six.iteritems (mpl_table._cells):
cell.set_edgecolor (edge_color)
if k [0] == 0 or k [1] < header_columns:
cell.set_text_props (weight='bold',color='w')
cell.set_facecolor (header_color)
else:
cell.set_facecolor (row_colors [k [0] % len (row_colors)])
return ax
df = pd.DataFrame ({'Label': ['a','a','b','c','d','d'],'Month': ['Type 1','Type 1','Type 2','Type 3','Type 2'],'Activity': ['cc','cc','tt','bb',]})
tt = pd.crosstab (index=[df ['Activity']],columns=[df ['Label'],df ['Month']],margins=True)
tab_me = render_mpl_table (tt,col_width=2.0)
plt.show ()