我有这种形式的数据框:
JdbcRowSet jdbcRowSet = new com.sun.rowset.JdbcRowSetImpl(jdbcTemplate.getDataSource().getConnection());
jdbcRowSet.setConcurrency(ResultSet.CONCUR_READ_ONLY);
jdbcRowSet.setReadOnly(true);
jdbcRowSet.setCommand(sql);
jdbcRowSet.setString(1, value);
jdbcRowSet.execute();
jdbcRowSet.setFetchDirection(ResultSet.FETCH_FORWARD);
jdbcRowSet.setFetchSize(100);
我想循环遍历各行,每行检查第一列(X1)的名称&amp;在我的计算机中创建一个具有相同名称的文件夹,并在此文件夹中创建与其各自列(X2),(X3),(X4)具有相同名称的子文件夹。当我运行脚本时,我只能看到文件夹 R290601 WOVEN TWILL ,子文件夹 001 , 6 和 231 < / strong>,但不是其余的,我收到此错误:
文件错误(文件,ifelse(追加,“a”,“w”)): 无法打开连接
此外,我收到第二行的警告:
在dir.create中(paste0(pth,df $ X1 [i])): 无法使用穿孔L3-0,3创建目录'C:\ Users \ Dev \ Desktop \ Joe \ 009-1373 *,原因'无效参数'
我的代码是:
X1 X2 X3 X4
R290601 WOVEN TWILL 001 6 231
009-1373 *with perforated L3-0,3 152 NA <NA>
R481400 THREAD A1282 12 A0399
0091375 PURE SOCK 001 6 072
R282380 SOFTLIN W/FELT 007 6 072
R282480 MICROFIBRE 001 6 F72
R281200 ARTIFICIAL A0638 6 072
为什么我会收到此错误,如何查看所有文件夹及其相应的子文件夹?
答案 0 :(得分:0)
library(readxl)
library(tidyverse)
## First read the dataframe taht contains Folder & Sub-folder names
df <- read_excel("C:/Users/Dev/Desktop/Joe/df.xlsx")
## Special characters like "\ / : * ? " < > |" cann't be present in filename,
## So first remove it from the df for every column.
df <- df %>%
mutate(across(everything(), .fns = function(x) gsub('[[:punct:]]','', x))) ## '[[:punct:]]' for the special character
setwd('C:/Users/Dev/Desktop/Joe') ## Replace with your working directory
for(i in 1:nrow(df)){
df_name <- df[i, ] %>%
select_if(~ !is.na(.x)) %>%
select_if(~ .x != 'NA') ## if NA is character & you don't need it
for(j in 1:ncol(df_name)){
if(!is.na(df_name[,j])){
if(!dir.exists(as.character(df_name[,j]))){
dir.create(as.character(df_name[,j]), recursive = TRUE)
setwd(as.character(df_name[,j])) ## Set wd to the newly created dir
## X1 --> X2 --> X3 --> X4
}
}
}
setwd('C:/Users/Dev/Desktop/Joe') ## Again go back to the main wd
}
## IF you want the folder like this : X1 --> X2, X3, X4 then
for(i in 1:nrow(df)){
df_name <- df[i, ] %>%
select_if(~ !is.na(.x)) %>%
select_if(~ .x != 'NA') ## if NA is character & you don't need it
if(!is.na(df_name[,1])){
if(!dir.exists(as.character(df_name[,1]))){
dir.create(as.character(df_name[,1]), recursive = TRUE)
setwd(as.character(df_name[,1])) ## Set wd to the newly created dir
}
}
for(j in 2:ncol(df_name)){
if(!is.na(df_name[,j])){
if(!dir.exists(as.character(df_name[,j]))){
dir.create(as.character(df_name[,j]), recursive = TRUE)
}
}
}
setwd('C:/Users/Dev/Desktop/Joe') ## Again go back to the main wd
}