Question

我正在使用Reql，我面临的问题是我需要以正确的顺序过滤相同的弹出值。

采用pluck和distinct（）后，值正确但顺序不正确，订单丢失。

示例查询

r.db('DB').table("heroes").orderBy('createdAt')
 .pluck({'loc':['coordinates']})
  .distinct()

任何人都可以帮我修改查询，以便按正确的顺序返回数据。

感谢您的时间。

Answer 1

在寻找另一个解决方法之后，我发布了问题here（感谢@trincot），通过复制此示例数组的解决方案，在javascript中完成工作，而不是处理重复的lat long数组。获得明确的结果并维持订单。

def calculate (allFiles):

    data = []
    for file_ in allFiles:
        xls = pd.ExcelFile(file_)
        df = xls.parse('General Impact')
        Mid_Ebb = df[df['Tidal Mode'] == "Mid-Ebb"] #filter 
        Mid_Ebb_control = df[df['Station'].isin(['C1','C2','C3'])] #filter control
        Mid_Flood = df[df['Tidal Mode'] == "Mid-Flood"] #filter
        Mid_Flood_control = df[df['Station'].isin(['C1','C2','C3', 'SR2'])] #filter control
        total_Mid_Ebb = Mid_Ebb.Station.nunique() #count unique stations = sample number
        total_Mid_Flood = Mid_Flood.Station.nunique()
        total_Mid_EbbControl = Mid_Ebb_control.Station.nunique()
        total_Mid_FloodControl = Mid_Flood_control.Station.nunique()
        data.append((total_Mid_Ebb, 
                     total_Mid_Flood, 
                     total_Mid_EbbControl, 
                     total_Mid_FloodControl))

    cols=['total_Mid_Ebb','total_Mid_Flood','total_Mid_EbbControl','total_Mid_FloodControl']

    result = pd.DataFrame(data, columns=cols)
    result['Mid_Ebb_withoutControl'] = result.total_Mid_Ebb - result.total_Mid_EbbControl
    result['Mid_Flood_withoutControl']=result.total_Mid_Flood-result.total_Mid_FloodControl

    #if want check all totals
    total = result.sum()
    print (total)


    return result

如果有人可能会得到帮助。欢呼。

在distinct（）后更改订单：RethinkDb Javascript

1 个答案: