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POPlotting scientific format on the axis label and different size minor formatter text size
 

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  1. POPlotting scientific format on the axis label and different size minor formatter text size
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    <p>I wrote the code below to output the figure but still need to figure out two things.</p> <p>1) How do I get scientific notation on the axis for the minor tick label. Since I only have it show the 5000 I assume I could just change this in the showOnlySomeTicks function to return a string in scientific format. Is there a better way to do this?? Also a better way to show only the 5000 minor tick mark (eg 5e5). 2) I want to make the minor tick mark label size smaller than the major tick mark label size. How do I go about this?</p> <p>Cheers for any help</p> <pre><code>import matplotlib.pyplot as plt import matplotlib.ticker as tick from numpy import load, sqrt, shape, size 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 s return '' plt.close('all') spineLineWidth = 0.5 inFile = '7semiat220' outFile = inFile inExt = '.npz' outExt = ['.eps','.pdf','.tif','.png'] mydpi = 300 storeMat = load(inFile+inExt) fig_width_pt = 246.0 inches_per_pt = 1.0/72.27 golden_mean = (sqrt(5)-1.0)/2.0 fig_width = fig_width_pt*inches_per_pt fig_height = 2 #fig_width*golden_mean 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) x = storeMat['freq'] y = storeMat['mag'] sizeX = x.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([0.125,0.2,0.95-0.125,0.95-0.2]) plt.plot(x,y,'k',label='$\sin(x)$') plt.xscale('log') plt.xlim(x[sizeX-1]*.95,x[0]*1.05) plt.xlabel('Log Frequency (Hz)') plt.ylabel('Magnitude') 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(outFile+i, dpi = mydpi) #def grayConvert() #Image.open('color.png').convert('L').save('bw.png') #direct method #image=Image.open('colored_image.png').convert("L") #other manipulations can use this method #arr=np.asarray(image) #p.figimage(arr,cmap=cm.Greys_r) #p.savefig('grayed.png') </code></pre> <p><img src="https://i.stack.imgur.com/qX9wU.png" alt="output"></p>
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