Question

如何根据python中的缺失值对列进行分区。

我在数据框中有以下表格：

   function ($http, $q, ApiService, AuthService) {

        return {

            addNewDevice: function (deviceDtls) {
                var deferred = $q.defer();

                var payload = new FormData();

                payload.append('deviceDtls', new Blob([JSON
                    .stringify(deviceDtls)], {
                    type: "application/json"
                }));
                // payload.append('profilePic', profile_pic);
                payload.append('doctorId', AuthService.getDoctorId());
                var req = {

                    method: 'POST',
                    headers: {
                        'Content-Type': undefined
                    },
                    transformRequest: angular.identity,
                    responseType: 'arraybuffer',
                    data: payload
                }

                ApiService.generic_post('/device/', req).then(
                    function (res) {

                        deferred.resolve(res);

                    }, function (error) {

                        deferred.reject(error);
                    }
                );

                return deferred.promise;

            }

 return DeviceService1;

根据NA或任何其他方式，我将如何重现下表：

Store      Bag 
Alberts    ClothBag
Vons       KateSpade
Ralphs     GroceryBag1
Na         apple
Na         pear
Na         staples
Kmart      ShoppingList
Na         beachball
Na         milk
QuikEmart  List5 
Na         Duff
Na         Donuts

如果商店下面没有Na，那么item列将采用Bag的名称，如前两列所示。

Answer 1

def f(d):
    if len(d) > 1:
        r = d.iloc[1:]
        r['Item'] = r['Bag']
        r['Bag'] = d.Bag.iat[0]
        r['Store'].iat[0] = d.Store.iat[0]
        return r
    else:
        return d.assign(Item=d.Bag)

df.groupby(df.Store.ne('Na').cumsum(), group_keys=False).apply(f)

        Store           Bag       Item
0     Alberts      ClothBag   ClothBag
1        Vons     KateSpade  KateSpade
3      Ralphs   GroceryBag1      apple
4          Na   GroceryBag1       pear
5          Na   GroceryBag1    staples
7       Kmart  ShoppingList  beachball
8          Na  ShoppingList       milk
10  QuikEmart         List5       Duff
11         Na         List5     Donuts

根据缺失值对列进行分区

1 个答案: