Hi John,
I'm already using shadow=True - is it possible to increase the size of
the shadow?
I tried fig = figure(figsize=(6,6))
ax = fig.add_axes([0.05, 0.05, 0.9, 0.9], aspect='equal')
figsize seems to change the size of the whole figure - I want a large
chart, but less whitespace behind (tighter margins).
When I use fig.add_axes() I get a grid around my pie chart.
Also - how do I change the font used in the labels? I want to use
something like Ariel.
Thanks for your help!!
Erik
On 6/4/07, John Hunter <[EMAIL PROTECTED]> wrote:
> On 6/4/07, Erik Wickstrom <[EMAIL PROTECTED]> wrote:
>
> I didn't see Eric answer your "oblong" part of the question. To make
> it circular, use aspect='equal'
>
> ax = fig.add_subplot(111, aspect='equal')
>
> > -Can I give it more of a 3d look? Like the pie charts in MS Word?
>
> enable shadow=True, eg
>
> pie(...., shadow=True)
>
> > -How can I reduce the size of the canvas behind the chart? There is a
> > lot of empty whitespace and I need to tighten up the margins as the
> > graph will be displayed inline on an html page...
>
> Set your own axes dimensions, just make sure it is square
>
> fig = figure(figsize=(6,6))
> ax = fig.add_axes([0.05, 0.05, 0.9, 0.9], aspect='equal')
>
> > -for the colors, do I use numbers to customize the colors, or do I
> > have to use colors from a built in pallet?
>
> You can do it either way, but if you want your colors to reflect the
> magnitude of the percentage for a given slice, you will need to use a
> colormap. See below
>
> > -lastly - is it possible to print the labels inside each slice of the
> > chart, instead of outside?
>
> Unfortunately not, but there should be. I just added a new keyword
> arg "labeldistance" which is a fraction of the radius at which to
> print the label (default 1.1). Changes are in svn.
>
>
> import matplotlib.cm as cm
>
> from pylab import figure, show
>
> # make a square figure and axes
> fig = figure(figsize=(8,8))
> ax = fig.add_axes([0.05, 0.05, 0.90, 0.90], aspect='equal')
>
> labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
> fracs = [15,30,45, 10]
>
> jet = cm.get_cmap('RdYlGn', 256)
> scalarmap = cm.ScalarMappable(cmap=jet)
> scalarmap.set_clim(0, 100)
>
> colors = [scalarmap.to_rgba(frac) for frac in fracs]
>
>
> ax.pie(fracs, labels=labels, colors=colors,
> pctdistance=0.4, labeldistance=0.9,
> autopct='%d%%', shadow=True)
>
> show()
>
>
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