rmarkello commented 4 years ago

Adds nntools.colors module! Loading the module will instantly register all the colormaps with matplotlib so they can be called just like any other colormap (or passed directly).

I'm only including a few to start: parula for those matlab lovers and turbo for the one person in the lab who insists on using jet (*cough @VinceBaz cough*).

Need to get RGB values from @estefanysuarez for the estefany, still!

codecov-commenter commented 4 years ago

Codecov Report

Merging #85 (758113c) into master (dd42915) will increase coverage by 3.42%. The diff coverage is 92.30%.

@@            Coverage Diff             @@
##           master      #85      +/-   ##
==========================================
+ Coverage   63.54%   66.96%   +3.42%     
==========================================
  Files          22       27       +5     
  Lines        1536     1916     +380     
==========================================
+ Hits          976     1283     +307     
- Misses        560      633      +73

Impacted Files	Coverage Δ
netneurotools/colors.py	`92.30% <92.30%> (ø)`
netneurotools/metrics.py	`35.84% <0.00%> (-53.04%)`	:arrow_down:
netneurotools/stats.py	`64.31% <0.00%> (-16.34%)`	:arrow_down:
netneurotools/networks.py	`9.17% <0.00%> (-0.18%)`	:arrow_down:
netneurotools/__init__.py	`100.00% <0.00%> (ø)`
netneurotools/modularity.py	`59.55% <0.00%> (ø)`
netneurotools/tests/test_stats.py	`100.00% <0.00%> (ø)`
netneurotools/tests/test_utils.py	`100.00% <0.00%> (ø)`
netneurotools/datasets/__init__.py	`100.00% <0.00%> (ø)`
netneurotools/tests/test_cluster.py	`100.00% <0.00%> (ø)`
... and 11 more

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rmarkello commented 3 years ago

turbo is now included in matplotlib so we can remove it from here!

netneurolab / netneurotools

[ENH] Adds lab-useful colormaps #85

Codecov Report