10000 Add PiecewiseLinearNorm by dopplershift · Pull Request #4666 · matplotlib/matplotlib · GitHub
[go: up one dir, main page]
Skip to content

Add PiecewiseLinearNorm #4666

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 17 commits into from
Closed

Add PiecewiseLinearNorm #4666

Changes from 1 commit
Commits
Show all changes
17 commits
Select commit Hold shift + click to select a range
7e93605
ENH: Add OffsetNorm and tests
phobson Nov 27, 2014
5e7c187
fix OffsetNorm docstring to numpydoc spec
phobson Mar 30, 2015
9a0b603
OffsetNorm blurb in whats_new
phobson Mar 30, 2015
fd9e624
removed OffsetNorm.inverse method
phobson Jun 6, 2015
633505d
attempting to create a baseline image
phobson Jun 6, 2015
ab11380
fix bad indexing when returning a scalar
phobson Jun 8, 2015
fa57cdd
the real test image
phobson Jun 8, 2015
9a01b9f
refactor tests a bit to handle non-invertable Norms
phobson Jun 8, 2015
1d8eb25
OffsetNorm -> PiecewiseLinearNorm
dopplershift Jul 11, 2015
57ca4fa
Merge branch 'add-asym-norm'
dopplershift Jul 11, 2015
2919b53
Propagate mask from input data
jkseppan Sep 3, 2015
bfc96a6
Remove unused clip parameter
jkseppan Sep 3, 2015
58c505c
Use process_value in PiecewiseLinearNorm
jkseppan Sep 3, 2015
b069a94
Return a scalar when passed in a scalar
jkseppan Sep 3, 2015
fc8ce8c
Return 0.5 for vcenter == vmax
jkseppan Sep 3, 2015
426353c
pep8 fixes
jkseppan Sep 3, 2015
ebd3753
10000 Merge pull request #2 from jkseppan/add-asym-norm
dopplershift Sep 3, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
fix bad indexing when returning a scalar
  • Loading branch information
@phobson
phobson committed Jun 8, 2015
commit ab113809cc172b196fe2d564541430643dfec4cb
4 changes: 1 addition & 3 deletions lib/matplotlib/colors.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1034,11 +1034,9 @@ def __call__(self, value, clip=None):
mask=mask)

x, y = [vmin, vcenter, vmax], [0, 0.5, 1]
# returns a scalar if shape == (1,)
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Doesn't seem to hold at least for numpy 1.9.2:

In [29]: np.ma.masked_array(np.interp([5], [0,8,10], [0,0.5,1]))
Out[29]: 
masked_array(data = [ 0.3125],
             mask = False,
       fill_value = 1e+20)

In [30]: _.shape
Out[30]: (1,)

result = np.ma.masked_array(np.interp(value, x, y))

if is_scalar:
result = result[0]

return result

def autoscale_None(self, A):
Expand Down
0