输入字符串 1 无效 UTF-8 Shiny 应用程序 [英] input string 1 is invalid UTF-8 Shiny app
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问题描述
我正在尝试创建一个闪亮的应用程序并保持错误 Warning: Error in sub: input string 1 is invalid UTF-8 阻止我的 selectInput 显示向上.我曾尝试使用 utf8 包将字符串转换为有效的 UTF-8 字符串，甚至在运行应用程序之前进行了测试以确认它们都是 UTF-8 有效 mean(utf8_valid(unique(lol_data$name)))[1] 1 但错误仍然发生.非常感谢您对此的任何帮助.
I am trying to create a shiny app and keep gettint the error Warning: Error in sub: input string 1 is invalid UTF-8 that prevents my selectInput from showing up. I have tried using the utf8 package to convert the strings to valid UTF-8 strings and have even tested before running the app to confirm they are all UTF-8 valid mean(utf8_valid(unique(lol_data$name)))[1] 1 and yet the error still occurs. Any help on getting this to work would be much appreciated.
闪亮应用代码这是我的应用程序的代码.
Code For Shiny App This is the code for my app.
setwd("")
library(shiny)
lol_data <- read_csv(paste("data/shiny/cleanedlol_data",
Sys.Date(), sep = ''))
# Define UI for application that draws a histogram
ui <- fluidPage(
titlePanel("How well will your lol draft do?"),
sidebarLayout(
sidebarPanel(
selectInput(
"player",
"select your player *required",
choices = unique(as.character(lol_data$name))
),
uiOutput("secondSelection"),
uiOutput("thirdSelection"),
uiOutput("fourthSelection"),
uiOutput("fifthSelection")
),
mainPanel(
plotOutput("histogram")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$secondSelection <- renderUI({
selectInput("opp_name", "select your opponent",
choices = unique(lol_data %>%
filter(name == input$player &
ifelse(!is.na(input$team),
lol_data$team ==
input$team,
!is.na(lol_data$team)) &
ifelse(!is.na(input$team_vs),
lol_data$team_vs ==
input$team_vs,
!is.na(team_vs)) &
ifelse(!is.na(input$role),
lol_data$role ==
input$role,
!is.na(lol_data$role))
)) %>%
pull(opp_name))
})
output$thirdSelection <- renderUI({
selectInput("team", "select your player's team",
choices = unique(lol_data%>%
filter(name == input$player &
ifelse(!is.na(input$opp_name),
lol_data$opp_name ==
input$opp_name,
!is.na(lol_data$opp_name)) &
ifelse(!is.na(input$team_vs),
lol_data$team_vs ==
input$team_vs,
!is.na(team_vs)) &
ifelse(!is.na(input$role),
lol_data$role ==
input$role,
!is.na(lol_data$role))
)) %>%
pull(team))
})
output$fourthSelection <- renderUI({
selectInput("team_vs", "select your opposing team",
choices = unique(lol_data%>%
filter(name == input$player&
ifelse(!is.na(input$opp_name),
lol_data$opp_name ==
input$opp_name,
!is.na(lol_data$opp_name) &
ifelse(!is.na(input$team),
lol_data$team ==
input$team,
!is.na(team)) &
ifelse(!is.na(input$role),
lol_data$role ==
input$role,
!is.na(lol_data$role))
)) %>%
pull(team_vs)))
})
output$fifthSelection <- renderUI({
selectInput("role", "select your player's role",
choices = unique(lol_data%>%
filter(name == input$player &
ifelse(!is.na(input$team),
lol_data$team ==
input$team,
!is.na(lol_data$team)) &
ifelse(!is.na(input$team_vs),
lol_data$team_vs ==
input$team_vs,
!is.na(team_vs)) &
ifelse(!is.na(input$opp_name),
lol_data$opp_name ==
input$opp_name,
!is.na(lol_data$opp_name))
)) %>%
pull(role))
})
output$hist <- renderPlot({
data_name <- subset(lol_data, name == input$player, opp_name = input$opp_name,
team == input$team, team_vs == input$team_vs,
role == input$role)
ggplot(data_name, aes(x = points))+
geom_histogram()
})
}
shinyApp(ui = ui, server = server)
结果这是我测试应用程序时得到的结果.
Result This is the result I get when I test the App.
runApp('~/test')
Warning: Missing column names filled in: 'X1' [1]
Parsed with column specification:
cols(
.default = col_double(),
name = col_character(),
link = col_character(),
champion = col_character(),
summoner_spells = col_character(),
items = col_character(),
team = col_character(),
team_vs = col_character(),
player_win = col_character(),
date_time_utc = col_datetime(format = ""),
role = col_character(),
unique_line = col_character(),
unique_game = col_character(),
unique_line_vs = col_character(),
current_year = col_logical(),
opp_name = col_character(),
opp_team = col_character(),
opp_team_vs = col_character(),
opp_player_win = col_character(),
opp_date_time_utc = col_datetime(format = ""),
opp_role = col_character()
# ... with 1 more columns
)
See spec(...) for full column specifications.
|=================================================================================================================| 100% 416 MB
Listening on http://127.0.0.1:6931
Warning: Error in sub: input string 1 is invalid UTF-8
[No stack trace available]
用于准备为应用拉取的 csv 文件的代码这是用于准备给我错误的数据的相关代码.
Code for preparing csv file pulled for app This is the relevant code for prepping the data that gives me the error.
library(utf8)
if(str_detect(list.files("data/shiny/"),
paste("cleanedlol_data", Sys.Date(), sep = ""))){
lol_data <- read_csv(paste("data/shiny/cleanedlol_data",
Sys.Date(), sep = ''))
}else{
lol_data <- lol_data %>%
janitor::clean_names() %>%
mutate(lg_kll_vr_sssts = replace(lg_kll_vr_sssts,
is.infinite(lg_kll_vr_sssts),NA),
lg_kll_cs_vr_dth = replace(lg_kll_cs_vr_dth,
is.infinite(lg_kll_cs_vr_dth),NA),
lg_kls_sts_cs_vr_dth = replace(lg_kls_sts_cs_vr_dth,
is.infinite(lg_kls_sts_cs_vr_dth),NA),
lg_kls_vr_sts_cs = replace(lg_kls_vr_sts_cs,
is.infinite(lg_kls_vr_sts_cs),NA),
lg_kl_vr_sts_cs_dth = replace(lg_kl_vr_sts_cs_dth,
is.infinite(lg_kl_vr_sts_cs_dth),NA),
hist_points = points) %>%
arrange(name, date_time_utc) %>%
group_by(name) %>%
mutate(avg_points = mean(points, na.rm = TRUE)) %>%
mutate_at(c("kills", "deaths", "assists", "gold", "cs", "team_kills",
"team_gold", "hist_points", "lg_kll_vr_sssts",
"lg_kll_cs_vr_dth", "lg_kls_sts_cs_vr_dth",
"lg_kls_vr_sts_cs", "lg_kl_vr_sts_cs_dth"),
list(~rollapply(lag(.), 3,
mean, na.rm=T,
partial = F,
fill = NA,
align = "right"))) %>%
ungroup() %>%
group_by(name, current_year) %>%
mutate(current_yr_avg_pnts = mean(points, na.rm = TRUE),
current_yr_avg_kills = mean(kills, na.rm = TRUE),
current_yr_avg_deaths = mean(deaths, na.rm = TRUE),
current_yr_avg_assists = mean(assists, na.rm = TRUE),
current_yr_avg_gold = mean(gold, na.rm = TRUE),
current_yr_avg_cs = mean(cs, na.rm = TRUE),
crrnt_yr_avg_lg_kll_vr_sssts = mean(lg_kll_vr_sssts, na.rm = T),
crnt_yr_avg_lg_kll_cs_vr_dth = mean(lg_kll_cs_vr_dth, na.rm=T),
crnt_yr_lg_kls_sts_cs_vr_dth = mean(lg_kls_sts_cs_vr_dth,
na.rm=T),
crnt_yr_lg_kls_vr_sts_cs = mean(lg_kls_vr_sts_cs, na.rm=T)) %>%
ungroup() %>%
select(-trinket, -keystone_mastery, -keystone_rune, -time, -dst,
-tournament, -game_id_wiki, -game_id_riot, -time_precision,
-date_time_utc_precision) %>%
mutate_if(is.character, as_utf8) %>%
filter(complete.cases(.))
opp_data <- lol_data %>%
select(name, kills, deaths, assists, gold, cs, team_kills, team_gold, team,
team_vs, player_win, date_time_utc, role,
role_number, side, unique_line, unique_line_vs,
points,
hist_points, current_yr_avg_pnts, current_yr_avg_kills ,
current_yr_avg_deaths ,current_yr_avg_assists ,
current_yr_avg_gold , current_yr_avg_cs,
crrnt_yr_avg_lg_kll_vr_sssts, lg_kll_vr_sssts,
crnt_yr_avg_lg_kll_cs_vr_dth, lg_kll_cs_vr_dth) %>%
rename(opp_name = name, opp_kills = kills, opp_deaths = deaths,
opp_assists = assists, opp_gold = gold, opp_cs = cs,
opp_team_kills = team_kills, opp_team_gold = team_gold,
opp_team = team, opp_team_vs = team_vs,
opp_player_win = player_win,opp_date_time_utc = date_time_utc,
opp_role = role,
opp_role_number = role_number, opp_side = side,
opp_unique_line = unique_line, opp_unique_line_vs = unique_line_vs,
opp_points = points,
opp_hist_points = hist_points,
opp_current_yr_avg_pnts = current_yr_avg_pnts,
opp_current_yr_avg_kills = current_yr_avg_kills,
opp_current_yr_avg_deaths = current_yr_avg_deaths,
opp_current_yr_avg_assists = current_yr_avg_assists,
opp_current_yr_avg_gold = current_yr_avg_gold,
opp_current_yr_avg_cs = current_yr_avg_cs,
opp_crrnt_yr_avg_lg_kll_vr_sssts = crrnt_yr_avg_lg_kll_vr_sssts,
opp_lg_kll_vr_sssts = lg_kll_vr_sssts,
opp_crnt_yr_avg_lg_kll_cs_vr_dth = crnt_yr_avg_lg_kll_cs_vr_dth,
opp_lg_kll_cs_vr_dth = lg_kll_cs_vr_dth)
lol_data <- lol_data %>%
left_join(opp_data, by = c("unique_line" = "opp_unique_line_vs"))%>%
filter(complete.cases(.))
write.csv(lol_data, file = paste("data/shiny/cleanedlol_data",
Sys.Date(),
sep = ""))
}
beep("fanfare")
推荐答案
我找到了一个有效的解决方案，
I found a solution that worked,
在准备数据时使用 mutate_if(is.character, utf8_encode) 而不是 mutate_if(is.character, as_utf8).
Using mutate_if(is.character, utf8_encode) instead of mutate_if(is.character, as_utf8) when prepping the data worked.
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