On Friday, June 20, 2014 2:47:03 PM UTC+1, Jason Swails wrote:
> On Fri, Jun 20, 2014 at 4:10 AM, Jamie Mitchell <jamiemit...@gmail.com> wrote:
>
> Hi folks,
>
>
>
> Instead of colouring the entire bar of a histogram i.e. filling it, I would
> like to colour just the outline of the histogram. Does anyone know how to do
> this?
>
> Version - Python2.7
>
>
>
> Look at the matplotlib.pyplot.hist function documentation:
> http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.hist
>
>
>
> In addition to the listed parameters, you'll see the "Other Parameters" taken
> are those that can be applied to the created Patch objects (which are the
> actual rectangles). For the Patch keywords, see the API documentation on the
> Patch object
> (http://matplotlib.org/api/artist_api.html#matplotlib.patches.Patch). So you
> can do one of two things:
>
>
>
> 1) Pass the necessary Patch keywords to effect what you want
>
>
>
> e.g. (untested):
> import matplotlib.pyplot as plt
>
>
>
> plt.hist(dataset, bins=10, range=(-5, 5), normed=True,
> edgecolor='b', linewidth=2, facecolor='none', # Patch options
>
> )
>
>
> plt.show()
>
>
>
> 2) Iterate over the Patch instances returned by plt.hist() and set the
> properties you want.
>
>
>
> e.g. (untested):
> import matplotlib.pyplot as plt
>
>
>
> n, bins, patches = plt.hist(dataset, bins=10, range=(-5, 5), normed=True)
> for patch in patches:
>
> patch.set_edgecolor('b') # color of the lines around each bin
> patch.set_linewidth(2) # Set width of bin edge
>
> patch.set_facecolor('none') # set no fill
> # Anything else you want to do
>
>
>
> plt.show()
>
>
> Approach (1) is the "easy" way, and is there to satisfy the majority of use
> cases. However, approach (2) is _much_ more flexible. Suppose you wanted to
> highlight a particular region of your data with a specific facecolor or
> edgecolor -- you can apply the features you want to individual patches using
> approach (2). Or if you wanted to highlight a specific bin with thicker
> lines.
>
>
>
> This is a common theme in matplotlib -- you can use keywords to apply the
> same features to every part of a plot or you can iterate over the drawn
> objects and customize them individually. This is a large part of what makes
> matplotlib nice to me -- it has a "simple" mode as well as a predictable API
> for customizing a plot in almost any way you could possibly want.
>
>
>
> HTH,
> Jason
>
>
> --
>
> Jason M. Swails
> BioMaPS,
> Rutgers University
> Postdoctoral Researcher
That's great Jason thanks for the detailed response, I went with the easier
option 1!
I am also trying to put hatches on my histograms like so:
plt.hist(dataset,bins=10,hatch=['*'])
When it comes to plt.show() I get the following error message:
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_gtk.py",
line 435, in expose_event
self._render_figure(self._pixmap, w, h)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_gtkagg.py",
line 84, in _render_figure
FigureCanvasAgg.draw(self)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py",
line 451, in draw
self.figure.draw(self.renderer)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/figure.py",
line 1034, in draw
func(*args)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/axes.py",
line 2086, in draw
a.draw(renderer)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/patches.py",
line 429, in draw
renderer.draw_path(gc, tpath, affine, rgbFace)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py",
line 145, in draw_path
self._renderer.draw_path(gc, path, transform, rgbFace)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backend_bases.py",
line 1010, in get_hatch_path
return Path.hatch(self._hatch, density)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/path.py",
line 888, in hatch
hatch_path = cls._hatch_dict.get((hatchpattern, density))
TypeError: unhashable type: 'list'
Traceback (most recent call last):
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_gtk.py",
line 435, in expose_event
self._render_figure(self._pixmap, w, h)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_gtkagg.py",
line 84, in _render_figure
FigureCanvasAgg.draw(self)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py",
line 451, in draw
self.figure.draw(self.renderer)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/figure.py",
line 1034, in draw
func(*args)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/axes.py",
line 2086, in draw
a.draw(renderer)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/artist.py",
line 55, in draw_wrapper
draw(artist, renderer, *args, **kwargs)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/patches.py",
line 429, in draw
renderer.draw_path(gc, tpath, affine, rgbFace)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backends/backend_agg.py",
line 145, in draw_path
self._renderer.draw_path(gc, path, transform, rgbFace)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/backend_bases.py",
line 1010, in get_hatch_path
return Path.hatch(self._hatch, density)
File
"/usr/local/sci/lib/python2.7/site-packages/matplotlib-1.3.1-py2.7-linux-x86_64.egg/matplotlib/path.py",
line 888, in hatch
hatch_path = cls._hatch_dict.get((hatchpattern, density))
TypeError: unhashable type: 'list'
Do you have any idea why this is happening?
Cheers,
Jamie
--
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