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Hi,
Nice plugin. I use csv files with comments at the top, and it would be great if those could be skipped when justifying the rows. Here is an example:
# This is a comment at the top of a csv file # There may be more than one comment line Header1,Header2,Header3 data1,data2,data3 data-a,data-b,data-c
The text was updated successfully, but these errors were encountered:
I do this as well, but I also uses rows to include units and descriptions for nonobvious columns. If it didn't justify any comment, then those wouldn't get justified. I can't think of a straightforward way to sensibly choose whether to justify. Maybe only justify if the row contains delimiters?
# Data collected from blah blah.
#, , , Above ground yield.
#, , , kg / m^2
line_id, plot_id, year, yield
WT S NN, A, 2014, 0.439595491985597
WT S NN, B, 2014, 0.375006810619682
I have seen this handled in other contexts (eg., numpy import) with a parameter to specify the comment character, and in which '#' is almost always the default. Any line that starts with any of the specified comment characters is skipped. The other way (looking for delimiters) often doesn't work because comments could contain that character.
Hi,
Nice plugin. I use csv files with comments at the top, and it would be great if those could be skipped when justifying the rows. Here is an example:
# This is a comment at the top of a csv file
# There may be more than one comment line
Header1,Header2,Header3
data1,data2,data3
data-a,data-b,data-c
The text was updated successfully, but these errors were encountered: