PYTHON

groupby where only

>>> df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
...                           'foo', 'bar'],
...                    'B' : [1, 2, 3, 4, 5, 6],
...                    'C' : [2.0, 5., 8., 1., 2., 9.]})
>>> grouped = df.groupby('A')
>>> grouped.filter(lambda x: x['B'].mean() > 3.)
     A  B    C
1  bar  2  5.0
3  bar  4  1.0
5  bar  6  9.0

groupby

spUtil.get('pps-list-modal', {title: c.data.editAllocations, 
  table: 'resource_allocation', 
  queryString: 'GROUPBYuser^resource_plan=' + c.data.sysId, 
  view: 'resource_portal_allocations' }).then(function(response) {
    var formModal = response;
    c.allocationListModal = response;
  });

groupby

$users = User::select('name')->groupBy('name')->get()->toArray() ;

groupby

function groupBy(array, keyFn) {
  return array.reduce((accumulator, value) => {
    const key = keyFn(value);
    if (!accumulator[key]) {
      accumulator[key] = [value];
    } else {
      accumulator[key] = [value];
    }
    return accumulator;
  }, {});
}