python - How to change x axis increments and plot using log(x) on the xaxis? -

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i shorten xaxis data more visible. however, don't know how accomplish while leaving xaxis log(x).

enter image description here

here code above image:

data = data([     bar(         y=[x/float(114767406) x in yp_views],         x=[x x in yp_views],         name='relative frequency')])   layout = layout(xaxis=xaxis(type='log',title = "number of premium highlight views")                 ,yaxis=yaxis(title = "frequency"))  fig = figure(data = data, layout = layout) py.iplot(fig)

here tried:

i tried solving problem using histogram , xbins. however, doesn't allow me freedom of using custom x , y axis plot. don't see xbins property bar charts. there name it?

here trying plot using range: 

data = data([     bar(         y=[x/float(114767406) x in yp_views],         x=[x x in yp_views],         name='relative frequency')])  layout = layout(xaxis=xaxis(type='log', range = [3000,10000], title = "number of premium highlight views")                 ,yaxis=yaxis(title = "frequency"))  fig = figure(data = data, layout = layout) py.iplot(fig)

enter image description here

you can use range=[min, max] in xaxis / yaxix define desired range. example, layout this:

layout = layout(xaxis=xaxis(type='log', range=[np.log10(3000), np.log10(10000)],                 title = "number of premium highlight views"),                 yaxis=yaxis(title = "frequency"))

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