Plot : Too many ticks on X axe

Community matplotlib-users
1

Hello,

The first loaded plot have too many ticks on X axe (see image01).
<http://matplotlib.1069221.n5.nabble.com/file/n45893/help-01.jpg>

If I use the zoom action on X axe, the plot is now well loaded.
<http://matplotlib.1069221.n5.nabble.com/file/n45893/help-02.jpg>

Can you give me some advise where I can search because The Plot constructor
parameters seems good.

Thank you for your help.
Manuel

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2

<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>

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3

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

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On Wed, Jul 8, 2015 at 9:15 AM, manik971 <nechmacleck2@…560…> wrote:

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’)

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