2017-08-14 3 views
0

Ceci est mon exemple JSON données d'entrée que je suis le traitementComment maintenir les numéros de ligne en utilisant lapply en r

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J'essaie d'extraire les valeurs de la première occurrence d'adresse composant

tel que mon code fictif ressemble

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) 

Cela me donne O/P comme

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 

Mais je me attends O/P comme celui-ci

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 
.          .      . 
.          .      . 

Quelle modification doit être réalisée de telle sorte que je serais en mesure d'obtenir le O/P prévu Toute suggestion serait appreciated.Thanks beaucoup

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Il n'y a pas d'index (ni même de nom si le premier argument est nommé). Vous auriez besoin d'utiliser une boucle for ou d'utiliser 'spply (seq (...), ...)' –

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Peut-être qu'un paramètre pourrait être utilisé directement pour que les noms de base connaissent la ligne traitée ou peut être une boucle for – deepesh

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L'interpréteur R (utilisant jsonlite-pkg) renvoie une erreur avec ces lignes numérotées. Êtes-vous sûr de nous avoir donné une interprétation fidèle de ce à quoi ressemble réellement ce fichier? –

Répondre

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Je pense que vous allez à ce sujet beaucoup à compliqué

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

Est-ce que faire ce que vous voulez? (sauf pour sélectionner/réorganiser les colonnes)

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Non, Ceci donne juste le numéro de colonne – deepesh

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id1 id2 id3 ...... quelque chose comme ça – deepesh

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J'ai mis à jour ma réponse de sorte que maintenant l'id se réfère à l'un des trois enregistrements json que vous avez posté ci-dessus, est ce que vous voulez dire? –