按日期汇总数据帧

如何解决按日期汇总数据帧

structure(list(ticker = c("WMT","WMT","WMT"),filingdate = structure(c(18551,18551,18537,18536,18534),class = "Date"),formtype = c("4","4","4"),issuername = c("WALMART INC","WALMART INC","WALMART INC"),ownername = c("LORE MARC E","LORE MARC E","BIGGS M BRETT","WALTON ALICE L"),officertitle = c("Executive Vice President","Executive Vice President",NA),isdirector = c("N","N","N"),isofficer = c("Y","Y",istenpercentowner = c("N","Y"),transactiondate = structure(c(18549,18549,18534,securityadcode = c("ND","ND","ND"),transactioncode = c("S","S","F","S"),sharesownedbeforetransaction = c(1669368,1610399,1591019,302554,1707160,389404553),transactionshares = c(-58969,-19380,-6651,-657,-37792,-606875),sharesownedfollowingtransaction = c(1610399,1584368,301897,1669368,388797678),transactionpricepershare = c(144.114,145.409,145.891,139.91,137.25,137.049),transactionvalue = c(8498258,2818026,970321,91921,5186952,83171612),securitytitle = c("Common","Common","Common Stock","Common Stock"
    ),directorindirect = c("D","D","I"),natureofownership = c(NA,NA,"By Trust"),dateexercisable = structure(c(NA_real_,NA_real_,NA_real_),priceexercisable = c(NA_real_,expirationdate = structure(c(NA_real_,rownum = c(1,2,3,1,2),mycolumn = c(-8498258,-2818026,-970321,-91921,-5186952,-83171612)),row.names = c(1L,2L,3L,9L,13L,15L),class = "data.frame")

我想压缩我的数据框以对“ filingdate”列每一天的“ my column”列中的所有值求和。 例如，一天2020-10-16重复3次。我希望新的data.frame包含一行日期为2020-10-16的行，而“我的列”列是其3个值的总和。 其他所有列都可以删除，也可以保留最后一天的值。

所有其他日期都一样

解决方法

一个选项可以是const canvas = document.createElement('canvas'); canvas.width = tensor.shape.width canvas.height = tensor.shape.height await tf.browser.toPixels(tensor,canvas); ：

aggregate()

输出：

#Code 1
newdf <- aggregate(mycolumn~filingdate,data=df,sum,na.rm=T)

或使用 filingdate mycolumn 1 2020-09-29 -83171612 2 2020-10-01 -5186952 3 2020-10-02 -91921 4 2020-10-16 -12286605 ：

dplyr

输出：

library(dplyr)
#Code 2
newdf <- df %>% group_by(filingdate) %>% summarise(mycolumn=sum(mycolumn,na.rm=T))