R问题中的integer64到datetime转换？
integer64 to datatime conversion in R issue?
鉴于 integer64 unix 纪元的以下 dataframe：
data_df <- structure(list(time_stamp = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = "integer64")), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -10L))
我想将其转换为日期时间（as.POSIXct 或 anytime()），但出现错误：
data_df %>%
dplyr::select(time_stamp) %>%
head(10) %>%
dplyr::mutate(dt = anytime(time_stamp)) %>% dput()
给出：
structure(list(time_stamp = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = "integer64"), dt = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = c("POSIXct", "POSIXt"), tzone = "Etc/UTC")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -10L))
data_df %>%
dplyr::select(time_stamp) %>%
head(10) %>%
dplyr::mutate(dt = as.POSIXct(time_stamp))
Error in as.POSIXct.default(time_stamp) : do not know how to convert
'time_stamp' to class “POSIXct”
请指教如何处理integer64纪元。
请原谅直接的语言，但你的问题没有意义。获取数据集的第一个元素：0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396。这在您列出的数据类型的 any 中根本无法表示。包括integer64。句号。
现在，碰巧我的 nanotime 包 以最佳可用分辨率 执行此操作，即以 64 位整数表示的纳秒。并且 64 位整数允许自纪元以来的纳秒增量，精度约为 19 位。不是您要求的 100 多个数字。没有（小内存）变量可以。
至于nanotime，example()显示了一些用途，包括解析：
R> library(nanotime)
R> example(nanotime)
nanotmR> x <- nanotime("1970-01-01T00:00:00.000000001+00:00")
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000001+00:00"
nanotmR> x <- x + 1
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000002+00:00"
nanotmR> format(x)
[1] "1970-01-01T00:00:00.000000002+00:00"
nanotmR> x <- x + 10
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000012+00:00"
nanotmR> format(x)
[1] "1970-01-01T00:00:00.000000012+00:00"
nanotmR> format(nanotime(Sys.time()) + 1:3) # three elements each 1 ns apart
[1] "2019-03-10T20:06:53.534292001+00:00" "2019-03-10T20:06:53.534292002+00:00"
[3] "2019-03-10T20:06:53.534292003+00:00"
R>
最重要的是，data.table 支持此处使用的 bit64 包的 integer64 类型。基于示例：
R> library(data.table)
data.table 1.12.0 Latest news: r-datatable.com
R> dt <- data.table(ns = nanotime(Sys.time()) + 1:3)
R> dt[]
ns
1: 2019-03-10T20:08:48.165136001+00:00
2: 2019-03-10T20:08:48.165136002+00:00
3: 2019-03-10T20:08:48.165136003+00:00
R> dt[, pt := as.POSIXct(ns)]
R> dt[]
ns pt
1: 2019-03-10T20:08:48.165136001+00:00 2019-03-10 15:08:48.165136
2: 2019-03-10T20:08:48.165136002+00:00 2019-03-10 15:08:48.165136
3: 2019-03-10T20:08:48.165136003+00:00 2019-03-10 15:08:48.165136
R>
我将这种纳秒粒度的双重表示与 POSIXct 表示一起用于 R 用途，包括整天绘图。 （请注意，在 UTC 中显示 nanotime / integer64 列存在格式错误，但基础表示是合理且正确的，因为 pt 转换为 POSIXct 显示。它目前在我的时区下午 3 点刚过。）
在这种情况下，错误是描述性的。 as.POSIXct 不处理 integer64。这里有一些简单的命令，表明如此
library(bit64)
i <- 1
i64 <- as.integer64(i)
as.POSIXct(i, tz='UTC', origin='1970-01-01')
## You will get an error here
as.POSIXct(i64, tz='UTC', origin='1970-01-01')
如果您可以接受较低的精度（2038 年之前有一段时间），您可以转换为整数。
鉴于 integer64 unix 纪元的以下 dataframe：
data_df <- structure(list(time_stamp = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = "integer64")), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -10L))
我想将其转换为日期时间（as.POSIXct 或 anytime()），但出现错误：
data_df %>%
dplyr::select(time_stamp) %>%
head(10) %>%
dplyr::mutate(dt = anytime(time_stamp)) %>% dput()
给出：
structure(list(time_stamp = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = "integer64"), dt = structure(c(0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396,
0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396
), class = c("POSIXct", "POSIXt"), tzone = "Etc/UTC")), class = c("tbl_df",
"tbl", "data.frame"), row.names = c(NA, -10L))
data_df %>%
dplyr::select(time_stamp) %>%
head(10) %>%
dplyr::mutate(dt = as.POSIXct(time_stamp))
Error in as.POSIXct.default(time_stamp) : do not know how to convert 'time_stamp' to class “POSIXct”
请指教如何处理integer64纪元。
请原谅直接的语言，但你的问题没有意义。获取数据集的第一个元素：0.000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000282505613660396。这在您列出的数据类型的 any 中根本无法表示。包括integer64。句号。
现在，碰巧我的 nanotime 包 以最佳可用分辨率 执行此操作，即以 64 位整数表示的纳秒。并且 64 位整数允许自纪元以来的纳秒增量，精度约为 19 位。不是您要求的 100 多个数字。没有（小内存）变量可以。
至于nanotime，example()显示了一些用途，包括解析：
R> library(nanotime)
R> example(nanotime)
nanotmR> x <- nanotime("1970-01-01T00:00:00.000000001+00:00")
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000001+00:00"
nanotmR> x <- x + 1
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000002+00:00"
nanotmR> format(x)
[1] "1970-01-01T00:00:00.000000002+00:00"
nanotmR> x <- x + 10
nanotmR> print(x)
[1] "1970-01-01T00:00:00.000000012+00:00"
nanotmR> format(x)
[1] "1970-01-01T00:00:00.000000012+00:00"
nanotmR> format(nanotime(Sys.time()) + 1:3) # three elements each 1 ns apart
[1] "2019-03-10T20:06:53.534292001+00:00" "2019-03-10T20:06:53.534292002+00:00"
[3] "2019-03-10T20:06:53.534292003+00:00"
R>
最重要的是，data.table 支持此处使用的 bit64 包的 integer64 类型。基于示例：
R> library(data.table)
data.table 1.12.0 Latest news: r-datatable.com
R> dt <- data.table(ns = nanotime(Sys.time()) + 1:3)
R> dt[]
ns
1: 2019-03-10T20:08:48.165136001+00:00
2: 2019-03-10T20:08:48.165136002+00:00
3: 2019-03-10T20:08:48.165136003+00:00
R> dt[, pt := as.POSIXct(ns)]
R> dt[]
ns pt
1: 2019-03-10T20:08:48.165136001+00:00 2019-03-10 15:08:48.165136
2: 2019-03-10T20:08:48.165136002+00:00 2019-03-10 15:08:48.165136
3: 2019-03-10T20:08:48.165136003+00:00 2019-03-10 15:08:48.165136
R>
我将这种纳秒粒度的双重表示与 POSIXct 表示一起用于 R 用途，包括整天绘图。 （请注意，在 UTC 中显示 nanotime / integer64 列存在格式错误，但基础表示是合理且正确的，因为 pt 转换为 POSIXct 显示。它目前在我的时区下午 3 点刚过。）
在这种情况下，错误是描述性的。 as.POSIXct 不处理 integer64。这里有一些简单的命令，表明如此
library(bit64)
i <- 1
i64 <- as.integer64(i)
as.POSIXct(i, tz='UTC', origin='1970-01-01')
## You will get an error here
as.POSIXct(i64, tz='UTC', origin='1970-01-01')
如果您可以接受较低的精度（2038 年之前有一段时间），您可以转换为整数。