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added daisha patch
svn path=/trunk/matplotlib/; revision=1372
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‎API_CHANGES‎

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API CHANGES in matplotlib-0.81
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pylab and artist "set" functions renamed to setp to avoid clash with
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python2.4 built-in set. Current version will issue a deprecation
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warning which will be removed in future versions
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imshow interpolation arguments changes for advanced interpolation
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schemes. See help imshow, particularly the interpolation,
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filternorm and filterrad kwargs

‎CHANGELOG‎

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New entries should be added at the top
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2005-05-26 Added Daisha text with dash patch -- see examples/dashtick.py
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2005-05-26 Moved backend_latex functionality into backend_ps. If
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text.usetex=True, the PostScript backend will use LaTeX to
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generate the .ps or .eps file. Ghostscript is required for

‎agg23/include/agg_math_stroke.h‎

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@@ -247,10 +247,8 @@ namespace agg
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dx2 = dy1;
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dy2 = dx1;
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}
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double dx = dx1 - dx2;
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double dy = dy1 - dy2;
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out_vertices.add(coord_type(v0.x - dx, v0.y + dy));
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out_vertices.add(coord_type(v0.x + dx, v0.y - dy));
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out_vertices.add(coord_type(v0.x - dx1 - dx2, v0.y + dy1 - dy2));
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out_vertices.add(coord_type(v0.x + dx1 - dx2, v0.y - dy1 - dy2));
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}
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else
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{

‎examples/anscombe.py‎

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@@ -26,27 +26,27 @@ def fit(x):
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subplot(221)
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plot(x,y1,'ks', xfit, fit(xfit), 'r-', lw=2)
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axis([2,20,2,14])
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set(gca(), xticklabels=[], yticks=(4,8,12), xticks=(0,10,20))
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setp(gca(), xticklabels=[], yticks=(4,8,12), xticks=(0,10,20))
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text(3,12, 'I', fontsize=20)
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subplot(222)
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plot(x,y2,'ks', xfit, fit(xfit), 'r-', lw=2)
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axis([2,20,2,14])
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set(gca(), xticklabels=[], yticks=(4,8,12), yticklabels=[], xticks=(0,10,20))
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setp(gca(), xticklabels=[], yticks=(4,8,12), yticklabels=[], xticks=(0,10,20))
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text(3,12, 'II', fontsize=20)
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subplot(223)
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plot(x,y3,'ks', xfit, fit(xfit), 'r-', lw=2)
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axis([2,20,2,14])
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text(3,12, 'IIII', fontsize=20)
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set(gca(), yticks=(4,8,12), xticks=(0,10,20))
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setp(gca(), yticks=(4,8,12), xticks=(0,10,20))
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subplot(224)
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xfit = array([amin(x4),amax(x4)])
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plot(x4,y4,'ks', xfit, fit(xfit), 'r-', lw=2)
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axis([2,20,2,14])
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set(gca(), yticklabels=[], yticks=(4,8,12), xticks=(0,10,20))
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setp(gca(), yticklabels=[], yticks=(4,8,12), xticks=(0,10,20))
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text(3,12, 'IV', fontsize=20)
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#verify the stats

‎examples/arctest.py‎

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l = plot(t1, f(t1), 'ro')
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set(l, 'markersize', 30)
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set(l, 'markerfacecolor', 'b')
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setp(l, 'markersize', 30)
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setp(l, 'markerfacecolor', 'b')
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#savefig('arctest', dpi=150)
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show()
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‎examples/axes_demo.py‎

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a = axes([.65, .6, .2, .2], axisbg='y')
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n, bins, patches = hist(s, 400, normed=1)
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title('Probability')
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set(a, xticks=[], yticks=[])
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setp(a, xticks=[], yticks=[])
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# this is another inset axes over the main axes
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a = axes([0.2, 0.6, .2, .2], axisbg='y')
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plot(t[:len(r)], r)
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title('Impulse response')
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set(a, xlim=(0,.2), xticks=[], yticks=[])
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setp(a, xlim=(0,.2), xticks=[], yticks=[])
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#savefig('../figures/axes_demo.eps')
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#savefig('../figures/axes_demo.png')

‎examples/axes_props.py‎

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xticklabels = get(gca(), 'xticklabels')
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yticklabels = get(gca(), 'yticklabels')
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set(xticklines, 'linewidth', 3)
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set(yticklines, 'linewidth', 3)
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set(xgridlines, 'linestyle', '-')
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set(ygridlines, 'linestyle', '-')
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set(yticklabels, 'color', 'r', fontsize='medium')
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set(xticklabels, 'color', 'r', fontsize='medium')
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setp(xticklines, 'linewidth', 3)
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setp(yticklines, 'linewidth', 3)
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setp(xgridlines, 'linestyle', '-')
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setp(ygridlines, 'linestyle', '-')
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setp(yticklabels, 'color', 'r', fontsize='medium')
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setp(xticklabels, 'color', 'r', fontsize='medium')
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# keyword args are legal too
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#set(xticklabels, color='r', fontsize='medium')

‎examples/color_by_yvalue.py‎

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# use masked arrays to plot a line with different colors by y-value
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import matplotlib.numerix.ma as ma
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from matplotlib.numerix import logical_or
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from pylab import plot, show, arange, sin, pi
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t = arange(0.0, 2.0, 0.01)
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s = sin(2*pi*t)
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upper = 0.77
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lower = -0.77
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supper = ma.masked_where(s < upper, s)
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slower = ma.masked_where(s > lower, s)
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smiddle = ma.masked_where(logical_or(s<lower, s>upper), s)
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plot(t, slower, 'r', t, smiddle, 'b', t, supper, 'g')
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show()

‎examples/contour_image.py‎

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contour(Z, levels, hold='on', colors = 'k', origin='image', extent=extent)
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axis(v)
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ylim = get(gca(), 'ylim')
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set(gca(), ylim=ylim[::-1])
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setp(gca(), ylim=ylim[::-1])
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title("Image, origin from rc, reversed y-axis")
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#savefig('contour_image')

‎examples/dashtick.py‎

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# Matplotlib xaxis label tweak
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import sys
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import matplotlib
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from matplotlib import pylab, ticker
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ROTATION=75
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DASHROTATION=75
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DASHBASE=10
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DASHLEN=35
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DASHSTAGGER=3
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FONTSIZE=6
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def dashlen(step):
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return DASHBASE+(DASHLEN*(step%DASHSTAGGER))
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def test_dashticklabel():
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pylab.clf()
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x = [0.0, 1.0, 1.1, 5.0, 5.1, 6.0]
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y = [1, 3, 2, 5, 1, 2]
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labels = ['foo', 'bar', 'baz', 'alpha', 'beta', 'gamma']
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locator = ticker.FixedLocator(x)
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formatter = ticker.FixedFormatter(labels)
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axis = pylab.axes([0.3, 0.3, 0.4, 0.4])
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axis.xaxis.set_major_locator(locator)
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axis.xaxis.set_major_formatter(formatter)
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axis.yaxis.set_major_locator(locator)
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axis.yaxis.set_major_formatter(formatter)
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for tick in axis.xaxis.get_major_ticks():
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tick.label2On = True
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for tick in axis.yaxis.get_major_ticks():
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tick.label2On = True
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step = 0
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for label in axis.get_xticklabels():
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pylab.set(label,
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rotation=ROTATION,
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dashlength=dashlen(step),
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dashrotation=DASHROTATION,
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fontsize=FONTSIZE,
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)
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step += 1
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step = 0
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for label in axis.get_yticklabels():
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pylab.set(label,
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rotation=90-ROTATION,
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dashlength=dashlen(step),
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dashrotation=90-DASHROTATION,
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fontsize=FONTSIZE,
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)
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step += 1
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pylab.xlabel('X Label')
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pylab.ylabel('Y Label')
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pylab.plot(x, y)
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axis.set_xlim((0.0, 6.0))
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axis.set_ylim((0.0, 6.0))
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pylab.savefig('dashticklabel')
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pylab.show()
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if __name__ == '__main__':
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test_dashticklabel()

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