# Ticket #4529: trac_4529-single-tick.patch

File trac_4529-single-tick.patch, 4.5 KB (added by kcrisman, 9 years ago)
• ## sage/plot/graphics.py

```# HG changeset patch
# User Punarbasu Purkayastha <ppurka@gmail.com>
# Date 1338109823 -28800
# Node ID 56bf4a37f1bb22520aae1d801c500416667e4ac9
# Parent  50485c4d4dd2d50839e508b720ba0121053e528f
check for the presence of single tick
- this is not robust enough in all cases for the log scale
- including this patch will mean that most graphics such as arc, disk, etc
which "just work" with log scale, will stop working.

diff --git a/sage/plot/graphics.py b/sage/plot/graphics.py```
 a sage: G.show(scale=('loglog', 2, 3)) # x in base 2, y in base 3 The base need not be an integer.:: sage: G.show(scale='semilogy', base=float(e)) # base is e The base need not be an integer, though it does have to be made a float.  Also, currently the formatting is wrong for non-integer bases, such as in this example:: sage: G.show(scale='semilogx', base=float(e)) # base is e Logarithmic scale can be used for various kinds of plots. Here are some examples.:: sage: G = parametric_plot((x, x**2), (x, 1, 10)) sage: G.show(scale='loglog') sage: disk((5,5), 4, (0, 3*pi/2)).show(scale='loglog',base=2) sage: x, y = var('x, y') sage: G =  plot_vector_field((2^x,y^2),(x,1,10),(y,1,100)) sage: G.show(scale='semilogx',base=2) But be sure to only plot things that will have a wide enough range for the logarithmic scale to be interpretable:: sage: G = arc((2,3), 2, 1, angle=pi/2, sector=(0,pi/2)) sage: G.show(scale=('loglog', 2)) sage: disk((0.1,0.1), 1, (pi/3, pi/2)).show(scale='loglog') sage: polygon([(1,1), (10,10), (10,1)]).show(scale='loglog') sage: x, y = var('x, y') sage: G =  plot_vector_field((sin(x),cos(y)),(x,0.1,3),(y,0.1,3)) sage: G.show(scale='loglog') Traceback (most recent call last): ... ValueError: Either expand the range of the dependent variable to allow two different integer powers of your `base`, or change your `base` to a smaller number. Add grid lines at the major ticks of the axes. sage: plot(arcsin(x),(x,-1,1),ticks=[None,pi/6],tick_formatter=[None,pi]) # Not so nice-looking When using logarithmic scale along the axis, make sure to have enough room for two ticks so that the user can tell what the scale is. This can be effected by increasing the range of the independent variable, or by changing the ``base``.:: sage: p = list_plot(range(1, 10), plotjoined=True) sage: p.show(scale='loglog') Traceback (most recent call last): ... ValueError: Either expand the range of the dependent variable to allow two different integer powers of your `base`, or change your `base` to a smaller number. sage: p.show(scale='loglog', base=8) # this works. """ # This option should not be passed on to save(). subplot.xaxis.set_major_formatter(x_formatter) subplot.yaxis.set_major_formatter(y_formatter) # Check for whether there will be too few ticks in the log scale case # If part of the data is nonpositive, we assume there are enough ticks if scale == 'log' and xmin > 0: import math base0 = base if (math.floor(math.log(xmax)/math.log(base0)) - math.ceil(math.log(xmin)/math.log(base0)) < 1): raise ValueError('Either expand the range of the independent ' 'variable to allow two different integer powers of your `base`, ' 'or change your `base` to a smaller number.') if scale == 'log' and ymin > 0: import math base1 = base if (math.floor(math.log(ymax)/math.log(base1)) - math.ceil(math.log(ymin)/math.log(base1)) < 1): raise ValueError('Either expand the range of the dependent ' 'variable to allow two different integer powers of your `base`, ' 'or change your `base` to a smaller number.') return (subplot, x_locator, y_locator, x_formatter, y_formatter) def matplotlib(self, filename=None,