Hello,
On Tuesday 18 December 2007 23:42, G. O. Nikiforov wrote:
> 1. Is there a way to change the font type and font size of the numbers on
> the axes in a figure? Not the labels (xlabel and ylabel - they are easy to
> change), but the actual numbers. If for example x goes from 0 to 6 in step
> of 2, the numbers showing below the x axis would be 0, 2, 4, and 6 for
> example. It is the fontsize and font of these numbers that I want to
> change. It must be some axis property but I cannot figure it out.
I'm not sure that this is the right solution and it does not use an axes
property, but the following works for me:
--------------------------------------------------------------------------------------------------------------
import pylab
pylab.figure()
ax = pylab.axes()
ax.plot(pylab.arange(10))
xlabels = ax.get_xticklabels()
xlabel0 = xlabels[0] # one of the xtick labels
xlabel0.get_fontsize()
xlabel0.set_fontsize(20)
pylab.show()
----------------------------------------------------------------------------------------------------------------
So finally my solution needs an iteration over a list like
--------------------------------------------------------------------------------------------------------------
for xlabel_i in ax.get_xticklabels():
xlabel_i.set_fontsize(20)
--------------------------------------------------------------------------------------------------------------
> 3. The data that I would like to plot is in an ASCII format, where the
> first row and column is text and the rest is numbers. What would be the
> best way to import that into maplotlib and then assign a variable name to
> each column (without the first entry, which would be the variable name).
Here again I can only present an work around, but maybe it helps you
nevertheless
-------------------------------------------------------------------------------------------------------
import numpy as n
fp = open('test.dat', "w")
fp.write('a b c \n') # write some example data
fp.write('X 1 2 \n')
fp.write('Y 3 4 \h')
fp.close()
fp = open('test.dat', "r")
rows = fp.readlines()
fp.close()
one_row = rows[0] # one line of the saved data
print one_row
one_row_entries = one_row.split(' ')
print one_row_entries
# one would like to do something like the following to get all numbers
XY = n.zeros((2, 2), dtype=n.int32)
for i, row in enumerate(rows[1:]): # neglecting the first rows
xy_list = row.split(' ')[1:-1] # neglecting first column and '\n'
# convert to array and afterwards from string to integer values
xy_array = (n.array(xy_list)).astype(n.int32)
XY[i, :] = xy_array
print "XY =",XY
print "X =", XY[0, :], " and Y =", XY[1, :]
---------------------------------------------------------------------------------------------------------------
best regards,
Matthias
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