我希望有人可以解释为什么lubridate没有正确解析我的日期。我正在读一个相当大的csv文件到数据框,所以我的问题不一定可以重现,但我会展示我的步骤:
require("lubridate")
pricingAddy = "C/DailyData.csv"
pricingData = as.data.frame(read.csv(pricingAddy, header = TRUE, stringsAsFactors = FALSE))
sampleHead = head(pricingData)
sampleHead
Symbol TradeDate PX_OPEN PX_HIGH PX_LOW PX_LAST PX_VOLUME MOV_AVG_20D MOV_AVG_50D MOV_AVG_100D MOV_AVG_200D
1 A 1/2/2014 57.10 57.100 56.15 56.21 1916160 56.0765 53.7096 51.5385 47.7321
2 A 1/3/2014 56.39 57.345 56.26 56.92 1866651 56.2435 53.8276 51.6432 47.8032
3 A 1/6/2014 57.40 57.700 56.56 56.64 1777472 56.4005 53.9474 51.7404 47.8781
4 A 1/7/2014 56.95 57.630 56.93 57.45 1463208 56.5315 54.0740 51.8498 47.9591
5 A 1/8/2014 57.33 58.540 57.17 58.39 2659468 56.6980 54.2044 51.9641 48.0454
6 A 1/9/2014 58.40 58.680 57.87 58.41 1757647 56.8515 54.3428 52.0803 48.1284
mdy(sampleHead["TradeDate"])
[1] NA
Warning message:
All formats failed to parse. No formats found.
dts = c("1/2/2014", "1/3/2014", "1/6/2014", "1/7/2014", "1/8/2014", "1/9/2014")
sampleHead["TradeDate"] == dts
TradeDate
1 TRUE
2 TRUE
3 TRUE
4 TRUE
5 TRUE
6 TRUE
mdy(dts)
[1] "2014-01-02 UTC" "2014-01-03 UTC" "2014-01-06 UTC" "2014-01-07 UTC" "2014-01-08 UTC" "2014-01-09 UTC"
任何接受者?我以前没见过这个。提前谢谢......