scatter plot matrix #935
Closed
scatter plot matrix #935
Conversation
This file contains hidden or 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
wesm
added a commit
that referenced
this pull request
Apr 10, 2012
|
Thanks so much. I factored this into a method in pandas.tools.plotting while I figure out how to organize all this plotting functionality (I'd rather not have everything as instance methods quite yet) |
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Outdated suggestions cannot be applied.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 wanted an easy way to create a scatter plot matrix from a data frame. It doesn't have the labels along the diagonals like R's ipairs does, but I don't think that would be too much work if you guys preferred that. I saw there was a scatter_matrix function in tools/plotting.py, but I wasn't sure what that was for.
I made sure it displayed data with NA values correctly, but that's about as much testing I could think of.
Update: I didn't notice issue #857, I guess if this is already in the works then please ignore this.