Hi, I reattached your example in a slightly modified way. For me with current svn it does its job. The key points are that I introduced a twin-axes and used subplots_adjust(wspace=0.6) to extend the horizontal space between the subplots.
Does this help you?
Kind regards
Matthias
On Sunday 29 November 2009 04:17:39 Peter Williams wrote:
> Hi All,
> I'm trying to create a set of strip charts so that I can see the
> relationships between a large number of time series. I'd like to label the
> y-axis with a name on the left side and a value/percentile on the right
> hand side. I can get the names on the left axis, and it looks very nice
> (yay Matplotlib!). When I try to the code below I don't get the output I'd
> like. None of the explicit tick labels that I'm setting make it to the
> display, and also the 3 charts on the page aren't kept separate (left tick
> labels from chart 132 hit the right tick labels from chart 131). Any
> suggestions very appreciated.
>
> import numpy as np
> import matplotlib.pyplot as plt
>
> nameN = 25
> obsN = 50
>
> names = ["foo%d" % x for x in range(nameN)]
> vols = np.random.uniform(0.2, 0.45, nameN)
>
>
> labels = ['ValA', 'ValB', 'ValC']
> d1 = np.random.normal(0,1, obsN*nameN).reshape(obsN, -1)*vols
> d2 = np.random.normal(0,1, obsN*nameN).reshape(obsN, -1)*vols
> d3 = np.random.normal(0,1, obsN*nameN).reshape(obsN, -1)*vols
>
>
> f = 0.45
> fig = plt.figure()
> for label, dset, ax_id in zip(labels, (d1, d2, d3), (131, 132, 133)):
>
> ax = fig.add_subplot(ax_id)
>
> for i in range(len(names)):
>
> mx = np.max(dset[:,i])
> mn = np.min(dset[:,i])
> y = i + dset[:,i]*2*f/(mx - mn) - f*(mx + mn)/(mx - mn) + 1
> y_last = y[-1]*np.ones_like(y)
> x = np.arange(obsN)
> ax.fill_between(x, y_last, y)
>
> ax.set_ylim((0, nameN + 1))
> ax.set_yticks(range(1, nameN + 1))
> ax.set_title(label, fontsize=10)
>
> for tk, nm in zip(ax.yaxis.get_major_ticks(), list(reversed(names))):
> tk.tick1On = False
> tk.tick2On = False
> tk.label1On = True
> tk.label2On = True
> tk.set_label1(nm)
> tk.set_label2("%.1f\n(%.1f tile)" % (36.2, 98.6))
>
> #ytickNames = ax.set_yticklabels(list(reversed(names)), rotation = 45,
> fontsize = 8)
>
>
> plt.show()
question_about_explicit_tick_labels.py
Description: application/python
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