@@ -284,10 +284,13 @@ def my_plotter(ax, data1, data2, param_dict):
284
284
# Again, for these simple examples this style seems like overkill, however
285
285
# once the graphs get slightly more complex it pays off.
286
286
#
287
+ # Backends
288
+ # ========
289
+ #
287
290
# .. _what-is-a-backend:
288
291
#
289
292
# What is a backend?
290
- # ==================
293
+ # ------------------
291
294
#
292
295
# A lot of documentation on the website and in the mailing lists refers
293
296
# to the "backend" and many new users are confused by this term.
@@ -462,7 +465,7 @@ def my_plotter(ax, data1, data2, param_dict):
462
465
# .. _PyQt5: https://riverbankcomputing.com/software/pyqt/intro
463
466
#
464
467
# WX backends
465
- # ===========
468
+ # -----------
466
469
#
467
470
# At present the release version of `wxPython` (also known as wxPython classic)
468
471
# does not support python3. A work in progress redesigned version known as
@@ -472,7 +475,7 @@ def my_plotter(ax, data1, data2, param_dict):
472
475
# .. _wxPython-Phoenix: https://wxpython.org/Phoenix/docs/html/main.html
473
476
#
474
477
# GTK and Cairo
475
- # =============
478
+ # -------------
476
479
#
477
480
# Both `GTK2` and `GTK3` have implicit dependencies on PyCairo regardless of the
478
481
# specific Matplotlib backend used. Unfortunatly the latest release of PyCairo
@@ -481,7 +484,7 @@ def my_plotter(ax, data1, data2, param_dict):
481
484
# wrapper.
482
485
#
483
486
# How do I select PyQt4 or PySide?
484
- # ========================================
487
+ # --------------------------------
485
488
#
486
489
# You can choose either PyQt4 or PySide when using the `qt4` backend by setting
487
490
# the appropriate value for `backend.qt4` in your :file:`matplotlibrc` file. The
0 commit comments