pylab.plot (xaxis, log10 (the_sum)*10)
where xaxis is numpy array, and log10(the_sum)*10 is my own class that is a
valid python sequence (it is a c++ wrapper around boost::ublas), gives:
File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-
x86_64.egg/matplotlib/pyplot.py", line 2096, in plot
ret = gca().plot(*args, **kwargs)
File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-
x86_64.egg/matplotlib/axes.py", line 3277, in plot
for line in self._get_lines(*args, **kwargs):
File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-
x86_64.egg/matplotlib/axes.py", line 394, in _grab_next_args
for seg in self._plot_2_args(remaining, **kwargs):
File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-
x86_64.egg/matplotlib/axes.py", line 267, in _plot_2_args
if is_string_like(tup2[1]):
File "/usr/lib/python2.5/site-packages/matplotlib-0.98.5.2-py2.5-linux-
x86_64.egg/matplotlib/cbook.py", line 277, in is_string_like
try: obj + ''
RuntimeError: check:: failed
If I convert the 2nd arg to array, it works:
pylab.plot (xaxis, np.array(log10 (the_sum)*10))
Doesn't plot support arbitrary sequences?
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