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I want to export the below-mentioned list of dataframes in CSV

Structure of the list of data frames multidf

structure(list(`0` = structure(list(X01.04.2020 = 0:1, Asset = c("PORTFOLIO", "CASH"), Position = c("--", "--"), Price = c("--", "--"), Mark.to.Market = c(1000000L, 1000000L)), class = "data.frame", row.names = c(NA, -2L)), `1` = structure(list(X02.04.2020 = c(0L, 1L, 2L, 3L, NA), Asset = c("PORTFOLIO", "CASH", "FUTURES", "VXc1", "Total"), Position = c("--", "--", "500", "-5931", "Buys:"), Price = c("--", "--", "2516", "47", "1"), Mark.to.Market = c("999231", "509866", "1258250", "-279795", "Sells:"), Position.prior = c(NA, NA, 0L, 0L, 1L), Transaction = c("", "", "500", "-5931", "TC spent:"), TC.spent = c(NA, NA, 629L, 140L, 769L), DOWN = c("", "", "", "", ""), UP = c("", "", "", "", "")), row.names = c(NA, -5L), class = "data.frame"), `2` = structure(list(X03.04.2020 = c(0L, 1L, 2L, 3L, NA), Asset = c("PORTFOLIO", "CASH", "FUTURES", "VXc1", "Total"), Position = c("--", "--", "505", "-6206", "Buys:"), Price = c("--", "--", "2483", "45", "1"), Mark.to.Market = c("995708", "508078", "1253789", "-278805", "Sells:"), Position.prior = c(NA, NA, 500L, -5931L, 1L), Transaction = c("", "", "5", "-275", "TC spent:"), TC.spent = c(NA, NA, 6L, 6L, 12L), DOWN = c("", "", "", "", ""), UP = c("", "", "", "", "")), row.names = c(NA, -5L), class = "data.frame"), `3` = structure(list(X06.04.2020 = c(0L, 1L, 2L, 3L, NA), Asset = c("PORTFOLIO", "CASH", "FUTURES", "VXc1", "Total"), Position = c("--", "--", "522", "-7352", "Buys:"), Price = c("--", "--", "2644", "42", "1"), Mark.to.Market = c("1096915", "559989", "1380429", "-307130", "Sells:"), Position.prior = c(NA, NA, 505L, -6206L, 1L), Transaction = c("", "", "17", "-1146", "TC spent:"), TC.spent = c(NA, NA, 22L, 24L, 46L), DOWN = c("", "", "", "", ""), UP = c("", "", "", "", "")), row.names = c(NA, -5L), class = "data.frame"), `4` = structure(list(X07.04.2020 = c(0L, 1L, 2L, 3L, NA), Asset = c("PORTFOLIO", "CASH", "FUTURES", "VXc1", "Total"), Position = c("--", "--", "514", "-6863", "Buys:"), Price = c("--", "--", "2642", "44", "1"), Mark.to.Market = c("1079069", "550870", "1357988", "-302144", "Sells:"), Position.prior = c(NA, NA, 522L, -7352L, 1L), Transaction = c("", "", "-8", "489", "TC spent:"), TC.spent = c(NA, NA, 11L, 11L, 21L), DOWN = c("", "", "", "", ""), UP = c("", "", "", "", "")), row.names = c(NA, -5L), class = "data.frame"), `5` = structure(list(X08.04.2020 = c(0L, 1L, 2L, 3L, NA), Asset = c("PORTFOLIO", "CASH", "FUTURES", "VXc1", "Total"), Position = c("--", "--", "524", "-7521", "Buys:"), Price = c("--", "--", "2735", "42", "1"), Mark.to.Market = c("1138189", "580800", "1433140", "-318702", "Sells:"), Position.prior = c(NA, NA, 514L, -6863L, 1L), Transaction = c("", "", "10", "-658", "TC spent:"), TC.spent = c(NA, NA, 14L, 14L, 28L), DOWN = c("", "", "", "", ""), UP = c("", "", "", "", "")), row.names = c(NA, -5L), class = "data.frame")), .Dim = 6L, .Dimnames = list(`cumsum(!grepl("\\S", txt))` = c("0", "1", "2", "3", "4", "5")))

I have used the following code but it shows me an error

write.list(multidf, "filename.csv")

Error message

Error in write.list(multidf, "Trade-Port-Pred-02022021-to-13022021.csv") : Need an 'list' object.

The expected result should be enter image description here Please help me figure this out. Thanks in advance.

1 Answer 1

1

We can use for loop and use write.table inserting an empty row after each data.

for (data in multidf) {
  write.table(rbind(data, ''), file="temp.csv",
              append=TRUE,sep = ',', col.names = TRUE, row.names = FALSE)
}
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4 Comments

I want this data in one CSV file
Then you need to combine them into one dataframe. The first list has different set of columns than the rest of them. How do you want to handle that?
i have added the expected result in the question. This is how I would require it to be
Set row.names = FALSE.

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