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Merge pull request #4356 from mscross/examples_streamplot_feat

STY : update streamplot_demo_features.py style
latest commit c85c67b296
@tacaswell tacaswell authored
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animation STY: update example with preferred plt.subplots
api Delete the repetitive word 'the' in docstrings and comments
axes_grid PEP8 : sundry PEP8 fixes in the examples
color STY: update example with preferred plt.subplots
event_handling PEP8 : sundry PEP8 fixes in the examples
images_contours_and_fields Merge pull request #4356 from mscross/examples_streamplot_feat
lines_bars_and_markers Restore python2 sorting
misc pep fix E401
mplot3d decrease the number of ignored pep8 error classes
pie_and_polar_charts pep8 fix E124-E129
pylab_examples Delete the repetitive word 'the' in docstrings and comments
scales Logit scale
shapes_and_collections Revert "pep8 fix E201"
showcase pep8 fix e2* in examples dir part 2/2
specialty_plots String formatting in examples directory changed
statistics fix pep8 violations in the new boxplot examples
style_sheets pep8 fix e2* in examples dir part 2/2
subplots_axes_and_figures Scipy2013 Sprint: Cleaning F/C example
tests PEP8 : sundry PEP8 fixes in the examples
text_labels_and_annotations pep8 fix E124-E129
ticks_and_spines [examples] e231 fixes
units [examples] use np.radians/np.degrees where appropriate
user_interfaces Merge pull request #4312 from jenshnielsen/qtfixes
widgets pep8 fix E124-E129
README.txt `eg` (without a comma) to `e.g.,`

README.txt

matplotlib examples
===================

There are a variety of ways to use matplotlib, and most of them are
illustrated in the examples in this directory.

Probably the most common way people use matplotlib is with the
procedural interface, which follows the matlab/IDL/mathematica
approach of using simple procedures like "plot" or "title" to modify
the current figure.  These examples are included in the "pylab_examples"
directory.  If you want to write more robust scripts, e.g., for
production use or in a web application server, you will probably want
to use the matplotlib API for full control.  These examples are found
in the "api" directory.  Below is a brief description of the different
directories found here:

  * animation - dynamic plots, see the tutorial at
    http://www.scipy.org/Cookbook/Matplotlib/Animations

  * api - working with the matplotlib API directory.  See the
    doc/artist_api_tut.txt in the matplotlib src directory ((PDF at
    http://matplotlib.sf.net/pycon)

  * axes_grid - Examples related to the AxesGrid toolkit

  * event_handling - how to interact with your figure, mouse presses,
    key presses, object picking, etc.  See the event handling tutorial
    in the "doc" directory of the source distribution (PDF at
    http://matplotlib.sf.net/pycon)

  * misc - some miscellaneous examples.  some demos for loading and
    working with record arrays

  * mplot3d - 3D examples

  * pylab_examples - the  interface to matplotlib similar to matlab

  * tests - tests used by matplotlib developers to check functionality
    (These tests are still sometimes useful, but mostly developers should
    use the nosetests which perform automatic image comparison.)

  * units - working with unit data an custom types in matplotlib

  * user_interfaces - using matplotlib in a GUI application, e.g.,
    TkInter, WXPython, pygtk, pyqt or FLTK widgets

  * widgets - Examples using interactive widgets
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