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
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