On 08/24/2011 06:53 AM, Jeffrey Spencer wrote:
> I created this graph below but if I set the y axis upper limit to 100.
> It cuts off the top half of the dots which are at 100. I wasn't sure how
> to get the dots to show properly like now but set the y-axis upper limit
> to 100 instead of like 102. It makes the data look misleading to have
> that little tail above 100. Essentially a way to create the axis but
> offset the actual axis grid to 95% of that or any other suggestions.
>
> Cheers
Try the changes indicated below.
>
>
> Script used to create here:
>
> import matplotlib.pyplot as plt
> import matplotlib.ticker as tick
> from numpy import load, sqrt, shape, size, loadtxt, transpose
>
> def clear_spines(ax):
> ax.spines['top'].set_color('none')
> ax.spines['right'].set_color('none')
> def set_spineLineWidth(ax, lineWidth):
> for i in ax.spines.keys():
> ax.spines[i].set_linewidth(lineWidth)
> def showOnlySomeTicks(x, pos):
> s = str(int(x))
> if x == 5000:
> return '5e3'#'%.0e' % x
> return ''
>
>
> plt.close('all')
> golden_mean = (sqrt(5)-1.0)/2.0 # Aesthetic ratio
> fig_width = fig_width_pt*inches_per_pt # width in inches
> fig_height = fig_width*golden_mean # height in inches
> fig_size = [fig_width,fig_height]
> tick_size = 9
> fontlabel_size = 10.5
> params = {'backend': 'wxAgg', 'axes.labelsize': fontlabel_size,
> 'text.fontsize': fontlabel_size, 'legend.fontsize': fontlabel_size,
> 'xtick.labelsize': tick_size, 'ytick.labelsize': tick_size,
> 'text.usetex': True, 'figure.figsize': fig_size}
> plt.rcParams.update(params)
> sizeX = storeMat[0].size
> fig = plt.figure(1)
> #figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
> #fig.set_size_inches(fig_size)
> plt.clf()
> ax = plt.axes([0.145,0.18,0.95-0.155,0.95-0.2])
pts, =
plt.plot(storeMat[0][::2],storeMat[1][::2]/300.*100,'ko',markersize=3.5)
# Note: the comma after "pts" is intentional.
pts.set_clip_on(False)
> #plt.plot(storeMat[0][::2],storeMat[1][::2]/300.*100,'k')
plt.ylim(0,100)
> plt.xlabel('Number of Channels')
> plt.ylabel('Recognition Accuracy')
> set_spineLineWidth(ax,spineLineWidth)
> clear_spines(ax)
> ax.yaxis.set_ticks_position('left')
> ax.xaxis.set_ticks_position('bottom')
> #ax.xaxis.set_minor_formatter(tick.FuncFormatter(showOnlySomeTicks))
> #plt.legend()
> for i in outExt:
> plt.savefig('lineVersion/'+outFile+i, dpi = mydpi)
>
>
>
> ------------------------------------------------------------------------------
> EMC VNX: the world's simplest storage, starting under $10K
> The only unified storage solution that offers unified management
> Up to 160% more powerful than alternatives and 25% more efficient.
> Guaranteed. http://p.sf.net/sfu/emc-vnx-dev2dev
>
>
>
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> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
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------------------------------------------------------------------------------
EMC VNX: the world's simplest storage, starting under $10K
The only unified storage solution that offers unified management
Up to 160% more powerful than alternatives and 25% more efficient.
Guaranteed. http://p.sf.net/sfu/emc-vnx-dev2dev
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