Question

这是我正在处理的JSON样本输入数据：

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Baug","types":["bus_station","establishment","point_of_interest","transit_station"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"location":{"lat":18.510892,"lng":73.906956},"location_type":"GEOMETRIC_CENTER","viewport":{"northeast":{"lat":18.5122409802915,"lng":73.9083049802915},"southwest":{"lat":18.5095430197085,"lng":73.90560701970848}}},"place_id":"ChIJ5YdfqcDBwjsR5VJutWLCsfA","types":["bus_station","establishment","point_of_interest","transit_station"]}],"status":"OK"}
 {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, India","geometry":{"bounds":{"northeast":{"lat":18.510637,"lng":73.9070137},"southwest":{"lat":18.5102785,"lng":73.9016839}},"location":{"lat":18.510445,"lng":73.90438309999999},"location_type":"GEOMETRIC_CENTER","viewport":{"northeast":{"lat":18.5118067302915,"lng":73.9070137},"southwest":{"lat":18.50910876970849,"lng":73.9016839}}},"place_id":"ChIJ88lKe8fBwjsRCRKukkS6-nM","types":["route"]},{"address_components":[{"long_name":"Jambhulkar Mala","short_name":"Jambhulkar 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 {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, 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我试图从第一次出现的地址组件中提取值。

这样我的虚拟代码看起来像：

dat <- lapply(readLines("D:/jsonSample_pune.json"), fromJSON)
res = lapply(dat, function(x) {

  lapply(x[["results"]], function(y) {

    do.call(rbind, lapply(y[['address_components']], function(z) {

      if (is.null(z)) {

        c(rep(NA, 2))}

      else {

        c(z[['types']][[1]], z[['long_name']]
      }
    }))
  })
})

df_pune <- ldply(sapply(res,'[[',1), data.frame)
write.csv(df_pune,"D:/add_component.csv",row.names = F)

这给了我O / P：

Type                                  Long_Name
route                                 Unnamed Road
Sub-locality                          Lohgaon
locality                              Pune
administrative_area_level_2           Pune
administrative_area_level_1           Maharashtra
country                               India
postal_code                           412105
premise                               T-1
Sub-locality                          V S N L Old Colony
Sub-locality1                         Dighi
locality                              Pimpri-Chinchwad
administrative_area_level_2           Pune
administrative_area_level_1           Maharashtra
country                               India
postal_code                           411015

但我期待这样的O / P：

Type                                  Long_Name                Rec_Numb 
route                                 Unnamed Road             1           
Sub-locality                          Lohgaon                  1 
locality                              Pune                     1
administrative_area_level_2           Pune                     1
administrative_area_level_1           Maharashtra              1
country                               India                    1
postal_code                           412105                   1
premise                               T-1                      2
Sub-locality                          V S N L Old Colony       2
Sub-locality1                         Dighi                    2
locality                              Pimpri-Chinchwad         2
administrative_area_level_2           Pune                     2
administrative_area_level_1           Maharashtra              2
country                               India                    2
postal_code                           411015                   2
.                                      .                       .
.                                      .                       .

应该进行哪些修改，以便能够获得预期的O / P？

Answer 1

我认为你对此很复杂

dat %>% 
  lapply(`[[`, "results") %>% 
  lapply(`[[`, "address_components") %>% 
  purrr::map(dplyr::bind_rows) %>% 
  dplyr::bind_rows(.id = "id")

这样做你想要的吗？（除了选择/重新排序列之外）

如何在使用lapply时保持行号？

1 个答案: