我有一个余弦相似度矩阵(csm)
,如下所示:
csm<-matrix( c(1,0,0.4,0.6, 0,0,1, 0.1,0.4,0.7,0.4,0.1,1,0.9,0.5,0.6,0.4,0.9,1,0.6,0,0.7,0.5,0.6,1),nrow=5,ncol=5)
rownames(csm) <- c("AAB","AAC","AAD","AAE","AAF")
colnames(csm) <- c("AAB","AAC","AAD","AAE","AAF")
csm
AAB AAC AAD AAE AAF
AAB 1 0 0.4 0.6 0
AAC 0 1 0.1 0.4 0.7
AAD 0.4 0.1 1 0.9 0.5
AAE 0.6 0.4 0.9 1 0.6
AAF 0 0.7 0.5 0.6 1
我的目标是建立一个看起来像这样的JSON文件:
{"AAB":[{"ID":"AAB","value":1},{"ID":"AAC","value":0},{"ID":"AAD","value":0.4},{"ID":"AAE","value":0.6},{"ID":"AAF","value":0}],
"AAC":[{"ID":"AAB","value":0},{"ID":"AAC","value":1},{"ID":"AAD","value":0.1},{"ID":"AAE","value":0.4},{"ID":"AAF","value":0.7}],
"AAD":[{"ID":"AAB","value":0.4},{"ID":"AAC","value":0.3},{"ID":"AAD","value":1},{"ID":"AAE","value":0.9},{"ID":"AAF","value":0.5}],
"AAE":[{"ID":"AAB","value":0.6},{"ID":"AAC","value":0.4},{"ID":"AAD","value":0.5},{"ID":"AAE","value":1},{"ID":"AAF","value":0.6}],
"AAF":[{"ID":"AAB","value":0},{"ID":"AAC","value":0},{"ID":"AAD","value":0.7},{"ID":"AAE","value":0},{"ID":"AAF","value":1}]}
我所做的是这样:
csm %>% as_tibble() %>%
gather( ID, value) %>%
complete(ID, value)%>%
jsonlite::toJSON()
我所拥有的是:
[{"ID":"AAB","value":0},{"ID":"AAB","value":0},{"ID":"AAB","value":0.1},{"ID":"AAB","value":0.3},{"ID":"AAB","value":0.4},...
有人可以帮忙吗? 谢谢!
答案 0 :(得分:1)
这是使用stack
library(jsonlite)
toJSON(lapply(split(df2 <- data.frame(ID = rownames(df), stack(df)), df2$ind), function(x)
x[, -3]))
#{"AAB":[{"ID":"AAB","values":1},{"ID":"AAC","values":0},{"ID":"AAD","values":0.4},{"ID":"AAE","values":0.6},{"ID":"AAF","values":0}],"AAC":[{"ID":"AAB","values":0},{"ID":"AAC","values":1},{"ID":"AAD","values":0.1},{"ID":"AAE","values":0.4},{"ID":"AAF","values":0.7}],"AAD":[{"ID":"AAB","values":0.4},{"ID":"AAC","values":0.1},{"ID":"AAD","values":1},{"ID":"AAE","values":0.9},{"ID":"AAF","values":0.5}],"AAE":[{"ID":"AAB","values":0.6},{"ID":"AAC","values":0.4},{"ID":"AAD","values":0.9},{"ID":"AAE","values":1},{"ID":"AAF","values":0.6}],"AAF":[{"ID":"AAB","values":0},{"ID":"AAC","values":0.7},{"ID":"AAD","values":0.5},{"ID":"AAE","values":0.6},{"ID":"AAF","values":1}]}
或者采用tidyverse
方式
df %>%
rownames_to_column("row") %>%
gather(ID, value, -row) %>%
split(.$row) %>%
map(~.x[, -1]) %>%
toJSON()
#{"AAB":[{"ID":"AAB","value":1},{"ID":"AAC","value":0},{"ID":"AAD","value":0.4},{"ID":"AAE","value":0.6},{"ID":"AAF","value":0}],"AAC":[{"ID":"AAB","value":0},{"ID":"AAC","value":1},{"ID":"AAD","value":0.1},{"ID":"AAE","value":0.4},{"ID":"AAF","value":0.7}],"AAD":[{"ID":"AAB","value":0.4},{"ID":"AAC","value":0.1},{"ID":"AAD","value":1},{"ID":"AAE","value":0.9},{"ID":"AAF","value":0.5}],"AAE":[{"ID":"AAB","value":0.6},{"ID":"AAC","value":0.4},{"ID":"AAD","value":0.9},{"ID":"AAE","value":1},{"ID":"AAF","value":0.6}],"AAF":[{"ID":"AAB","value":0},{"ID":"AAC","value":0.7},{"ID":"AAD","value":0.5},{"ID":"AAE","value":0.6},{"ID":"AAF","value":1}]}
df <- read.table(text =
" AAB AAC AAD AAE AAF
AAB 1 0 0.4 0.6 0
AAC 0 1 0.1 0.4 0.7
AAD 0.4 0.1 1 0.9 0.5
AAE 0.6 0.4 0.9 1 0.6
AAF 0 0.7 0.5 0.6 1")