Your code example is incomplete. Even if I add in the typical imports and
"fig, ax = plt.subplots()" and "plt.show()", The x tick labels aren't
rotated, and I certainly don't have too many tick labels. Could you provide
a complete working example that demonstrate the problem?
Ben Root
On Wed, Jul 8, 2015 at 9:15 AM, manik971 <nechmacle...@hotmail.fr> wrote:
> <code>
> date_range = (735599.0, 735745.0)
> x = (735610.5, 735647.0, 735647.5, 735648.5, 735669.0, 735699.0, 735701.5,
> 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0)
> y = (227891.25361545716, 205090.4880046467, 208352.59317388065,
> 175462.99296699322, 98209.836461969651, 275063.37219361769,
> 219456.93600708069, 230731.12613806152, 209043.19805037521,
> 218297.51486296533, 208036.88967207001, 206311.71988471842,
> 216036.56824433553)
> y0 = 218206.79192
> x_after = (735610.5, 735647.0, 735647.5, 735701.5, 735702.5, 735709.5,
> 735725.5, 735728.5, 735735.5, 735736.0)
> y_after = (227891.25361545716, 205090.4880046467, 208352.59317388065,
> 219456.93600708069, 230731.12613806152, 209043.19805037521,
> 218297.51486296533, 208036.88967207001, 206311.71988471842,
> 216036.56824433553)
> ax.plot_date(x, numpy.array(y) / y0, color='r', xdate=True, marker='x')
> linex = -39.1175584541
> liney = 28993493.5251
>
> ax.set_xlim(date_range)
> steps = list(ax.get_xlim())
> steps.append(steps[-1] + 2)
> steps = [steps[0] - 2] + steps
> ax.plot(steps, numpy.array([linex * a + liney for a in steps]) / y0,
> color='b')
> </code>
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893p45894.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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