Closed RS-JS closed 2 years ago
Unfortunately (or, perhaps, fortunately), I cannot reproduce your issue.
However, I still see issues with your code. In particular, if you input dates as dates, rather than month numbers, you should set by_date
to TRUE, as described in the Readme. See reprex below.
If this fixes your issues, you can close this issue. If not, please add more details (ideally, a piece of code I can use to reproduce the issue, similar to the code you see below).
library("ganttrify")
project_df <- tibble::tribble(~wp, ~activity, ~start_date, ~end_date,
"WW1 Journals", "Aussie", "1918-01-01", "1918-10-01",
"WW1 Journals", "Kia Ora", "1918-03-15", "1918-12-15")
gantt_gg <- ganttrify(project = project_df,
hide_wp = TRUE,
project_start_date ="1918-01-01",
by_date = TRUE,
month_number_label = FALSE,
font_family = "Roboto Condensed")
gantt_gg
ggplot2::ggsave(filename = "my_wide_gantt.png",
plot = gantt_gg,
width = 12,
height = 4,
bg = "white")
Created on 2022-09-03 with reprex v2.0.2
I got it working; the problem was further up I had this line
covRecords$Date <- as.Date(covRecords$Date)
I took it out and it now works
I see. The reason why this column needs to be of class character, rather than date, is because it is made to accept also dates given as months (e.g. "2022-09" to refer to August 2022, without needing to say the exact day).
In brief, the issue here is that the package didn't give a meaningful error message, which would have made it easy for you to fix this in a few minutes. So this falls under issue 11: https://github.com/giocomai/ganttrify/issues/11
Hopefully I'll deal with in the coming months.
I have an odd issue
I;ve tested it with two rows.
My data is as follows
and the code I am using is as follows
`gantt_gg<-ganttrify(project = covRecords2, hide_wp = TRUE, project_start_date ="1918-01", font_family = "Roboto Condensed")
ggplot2::ggsave(filename = "my_wide_gantt.png", plot = gantt_gg, width = 12, height = 4, bg = "white") #otherwise you'll get transparent background`
On the output, however, i have way more columns for months as you can see