That does the trick. Didn't know where the clipping was occurring but
couldn't find anything in plot so makes sense it was in the line.
Assuming the comma just unpacks the tuple to get direct access to line.
Thanks for the help
On 25/08/11 03:23, Eric Firing wrote:
> 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
>>
>>
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> ------------------------------------------------------------------------------
> 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
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
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@lists.sourceforge.net
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