Re: [Matplotlib-users] type error with python 3.2 and version 1.1.1 of matplotlib (numpy error)

[Paul T. <pau...@gm...>]

Hmm. I found that mpl handled my datetime objects just fine:

# put the weeks on the x axis
# dates are datetime.datetime
ax.plot(dates, defects)
ax.xaxis.set_major_formatter(
    matplotlib.dates.DateFormatter('%W'))

# create an invisible line in order to
# create a secondary x axis below
# the first axis, which just has the month(s)
newax = fig.add_axes(ax.get_position())
newax.spines['bottom'].set_position(('outward', 25))
newax.patch.set_visible(False)
newax.yaxis.set_visible(False)
# months are also datetime. However, I filtered out
# all dates except the first date for each month
newax.plot_date(months, y,  visible=False)
newax.xaxis.set_major_locator(
    matplotlib.dates.MonthLocator()
)
newax.xaxis.set_major_formatter(
    matplotlib.dates.DateFormatter('%b')
)

On Thu, Sep 6, 2012 at 12:02 AM, Eric Firing <ef...@ha...> wrote:

> On 2012/09/05 4:04 PM, Paul Tremblay wrote:
> > I am using numpy 1.7, which I built myself (python3 setup.py build). I
> > had a chance to look a bit deeper into matplotlib, which in turn forced
> > me to learn a bit of numpy, and now I see that it probably makes more
> > sense to use numpy arrays for my data. Since the default for an array is
> > a float, most users won't encounter the problems I did, but a warning in
> > a FAQ might solve a few headaches, regardless of how the developers
> > decided to go.
>
> Paul,
>
> numpy 1.7 has a new datetime dtype which probably would be good for your
> use--except that mpl doesn't support it yet.  That will be a project for
> mpl v1.3.
>
> Eric
>
> >
> > Thanks for your help.
> >
> > Paul
> >
> > On Tue, Sep 4, 2012 at 3:09 PM, Benjamin Root <ben...@ou...
> > <mailto:ben...@ou...>> wrote:
> >
> >
> >
> >     On Tue, Sep 4, 2012 at 2:20 PM, Paul Tremblay
> >     <pau...@gm... <mailto:pau...@gm...>> wrote:
> >
> >
> >         The following Python code:
> >
> >          >>ax.fill_between(dates, lower, upper, facecolor='gray',
> alpha=0.5)
> >
> >         Produces this error with Python 3.2:
> >
> >         Traceback (most recent call last):
> >            File "scripts/audit_reports_weekly.py", line 150, in <module>
> >              ax.fill_between(dates, lower, upper, facecolor='gray',
> >         alpha=0.5)
> >            File
> >
> "/home/local/ANT/ptrembl/.local/lib/python3.2/site-packages/matplotlib/axes.py",
> >         line 6741, in fill_between
> >              y1 = ma.masked_invalid(self.convert_yunits(y1))
> >            File
> >
> "/home/local/ANT/ptrembl/.local/lib/python3.2/site-packages/numpy/ma/core.py",
> >         line 2241, in masked_invalid
> >              condition = ~(np.isfinite(a))
> >         TypeError: ufunc 'isfinite' not supported for the input types,
> >         and the inputs could not be safely coerced to any supported
> >         types according to the casting rule ''safe''
> >
> >
> >         [Decimal('3619.900530366609820157812617'), .....]
> >
> >         If I change the list from type Decimal to type float, then I
> >         don't get the error. Likewise, if I use Python 2.7, I also don't
> >         get an error.
> >
> >         After reading over the error message, I realize that this error
> >         really results because of numpy, not matplotlib. But I'll go
> >         ahead and post this message, in case you are unaware of the
> >         problem.
> >
> >
> >     Just a quick note, mpl v1.1.x is not officially supported for py3k.
> >     The upcoming release of v1.2.0 will be the first official release
> >     with such support.
> >
> >     That being said, it probably would be a good idea to make sure where
> >     the bug lies for this one (numpy or matplotlib).  Which version of
> >     numpy are you using?
> >
> >     Ben Root
> >
> >
> >
> >
> >
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