Update numpy.md, files.md #227
Closed
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
Contributor
|
For the #246 also contains the |
rgaiacs
added a commit
to rgaiacs/swc-python-novice-inflammation
that referenced
this pull request
Apr 17, 2018
fix github meta data
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
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Outdated suggestions cannot be applied.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.
Modification to numpy.md
I instructed a python workshop and only introduced the magic command
% matplotlib inlineafter getting participants to run the section to show the heat map. I learned that on some computers (Macs, and a few Windows), the ipython notebook hangs if the magic command is not specified - a handful of participants were forced to shut down the notebook and restart. It would be helpful to include the magic command earlier when plotting the graphs to prevent notebooks from potentially hanging.Modification to files.md
My machine runs on Linux Mint 17.2 (I am new to Linux). The
print(glob.glob('inflammation*.csv'))command executed but produced a list of inflammation filenames that were out of numeric order. I checked with participants but it seems this behaviour only occurred on my machine. Everyone in that workshop was either running Windows or Mac so the problem may be OS dependent. It was easily fixed with by adding thesorted()option. This change could be considered for inclusion but it is not a major problem.Thanks