csvlook: Add max rows option #409
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Just noting to myself that agate has a |
jpmckinney
changed the title
|
@onyxfish Before implementing (not via this PR), are you good with adding this option to csvlook? |
|
Just saw this feature was merged in with the option |
lcorbasson
pushed a commit
to lcorbasson/csvkit
that referenced
this pull request
Sep 7, 2020
var agreement in lambda
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
I found myself needing an option to truncate to the top n rows often while working with CSV files. Example usage:
csvlook --truncate 5 < example.csvThe
headcommand is not particularly suited got this because of the fact that you need to consider the first 3 lines are part of the header. While you could just stay manually adding 3 to your head argument each time I thought it would make more sense to just provide the option from within csvlook.