我的数据集包含包含year的列,以及包含每年的序数(yday)日的列。我想将此信息转换为日历日期,因此我可以更好地过滤数据集。数据看起来像这样,但是从1980年到2016年,并且每年的每一天都有一个条目:
年yday temp
1980 1 0.5
1980 2 -5.0
1980 3 -3.5
1980 4 1.0
1980 5 -1.0
temps<-structure(list(year = c(1980L, 1980L, 1980L, 1980L, 1980L), yday = 1:5,
temp = c(0.5, -5, -3.5, 1, -1)), row.names = c(NA, -5L), class = c("tbl_df",
"tbl", "data.frame"), .Names = c("year", "yday", "temp"))
我尝试了以下代码,但无法获得正确的日历日期: Convert day of year to date
答案 0 :(得分:3)
library(lubridate)
library(dplyr)
temps <- tibble::tribble(
~year, ~yday, ~temp,
1980L, 1L, 0.5,
1980L, 2L, -5,
1980L, 3L, -3.5,
1980L, 4L, 1,
1980L, 5L, -1,
1980L, 99L, -1,
1980L, 50L, -1
)
temps %>%
mutate(date = make_date(year) + yday - 1)
#> # A tibble: 7 x 4
#> year yday temp date
#> <int> <int> <dbl> <date>
#> 1 1980 1 0.5 1980-01-01
#> 2 1980 2 -5.0 1980-01-02
#> 3 1980 3 -3.5 1980-01-03
#> 4 1980 4 1.0 1980-01-04
#> 5 1980 5 -1.0 1980-01-05
#> 6 1980 99 -1.0 1980-04-08
#> 7 1980 50 -1.0 1980-02-19
答案 1 :(得分:2)
您可以从1月1日开始,然后通过添加post_install do |installer|
copy_pods_resources_path = "Pods/Target Support Files/Pods-IconTest/Pods-IconTest-resources.sh"
string_to_replace = '--compile "${BUILT_PRODUCTS_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}"'
assets_compile_with_app_icon_arguments = '--compile "${BUILT_PRODUCTS_DIR}/${UNLOCALIZED_RESOURCES_FOLDER_PATH}" --app-icon "${ASSETCATALOG_COMPILER_APPICON_NAME}" --output-partial-info-plist "${BUILD_DIR}/assetcatalog_generated_info.plist"'
text = File.read(copy_pods_resources_path)
new_contents = text.gsub(string_to_replace, assets_compile_with_app_icon_arguments)
File.open(copy_pods_resources_path, "w") {|file| file.puts new_contents }
end
值来计算它。
yday