Small glitches on heatmaps #9831

Activity

1. markomanninen commented on Nov 22, 2017

   

   markomanninen

   on Nov 22, 2017

   Last edited by markomanninen

   Author

   More actions

   Just an update, I got better results using purely matplotlib:

   import matplotlib.pyplot as plt
   plt.rcParams["axes.grid"] = False
   plt.imshow(coeftt(range(1, 21), max))
   plt.show()
   

   

   so I guess I need to turn back to Seaborn support.
2. tacaswell commented on Nov 23, 2017

   

   tacaswell

   on Nov 23, 2017

   Member

   More actions

   Are these glitches dependent on the size and dpi of the figure you are saving?
3. tacaswell

   added this to the v2.2This milestone has been deleted milestone on Nov 23, 2017
4. mwaskom commented on Nov 24, 2017

   

   mwaskom

   on Nov 24, 2017

   More actions

   Seems dependent on y axis inversion:

   f, ax = plt.subplots()
   ax.pcolormesh(coeftt(l, max))
   

   

   f, ax = plt.subplots()
   ax.pcolormesh(coeftt(l, max))
   ax.invert_yaxis()
   

   
5. jklymak commented on Nov 24, 2017

   

   jklymak

   on Nov 24, 2017

   Last edited by jklymak

   Member

   More actions

   On the macos backend I got this to show up once in a while. If you change the size of the figure, it goes away and comes back. Of course my dpi is 200, so it'd be harder to see than on a 120 dpi display.

   Here is a SSCCE to save the devs the bother of downloading a notebook file.

   import numpy as np
   import matplotlib.pyplot as plt
   
   def _coef(n):
       # 216 -> poly1d([2, 1, 6])
       return np.poly1d(list(map(int, str(n))))
   
   def coef(i, j, cb):
       return cb(_coef(i) * _coef(j)) + 1
   
   def coeft(l, cb):
       for i in l:
           mm = []
           for j in l:
               mm.append(coef(i, j, cb))
           yield mm
   
   def coeftt(l, cb):
       m = []
       for i in l:
           mm = []
           for j in l:
               mm.append(coef(i, j, cb))
           m.append(mm)
       return m
   
   xx = coeftt(range(1, 40), max)
   
   fig, ax = plt.subplots()
   ax.pcolormesh(xx)
   plt.show()
   
   fig, ax = plt.subplots()
   ax.pcolormesh(xx)
   ax.invert_yaxis()
   plt.show()
6. github-actions commented on Apr 25, 2023

   

   github-actionsBot

   on Apr 25, 2023

   More actions

   This issue has been marked "inactive" because it has been 365 days since the last comment. If this issue is still present in recent Matplotlib releases, or the feature request is still wanted, please leave a comment and this label will be removed. If there are no updates in another 30 days, this issue will be automatically closed, but you are free to re-open or create a new issue if needed. We value issue reports, and this procedure is meant to help us resurface and prioritize issues that have not been addressed yet, not make them disappear. Thanks for your help!
7. github-actions

   added

   status: inactiveMarked by the “Stale” Github ActionMarked by the “Stale” Github Action

   on Apr 25, 2023
8. tacaswell commented on Apr 25, 2023

   

   tacaswell

   on Apr 25, 2023

   Member

   More actions

   I can not reproduce this, but I only played around with it interactively.
9. github-actions

   removed

   status: inactiveMarked by the “Stale” Github ActionMarked by the “Stale” Github Action

   on Apr 26, 2023
10. QuLogic commented on Apr 26, 2023

    

    QuLogic

    on Apr 26, 2023

    Member

    More actions

    I could reproduce in 2.0.0 with @jklymak's example, though I had to expand the window a little bit wider.
11. QuLogic commented on Apr 26, 2023

    

    QuLogic

    on Apr 26, 2023

    Member

    More actions

    This was fixed by #16090.
12. QuLogic

    closed this as completedon Apr 26, 2023
13. QuLogic

    modified the milestones: future releases, v3.4.0 on Apr 26, 2023