# 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 <efiring@...202... > <mailto:efiring@…202…>> 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.root@...1304... > <mailto:ben.root@…1304…> > > <mailto:ben.root@…1304…>> wrote:
>
> On Tue, Sep 4, 2012 at 2:20 PM, Paul Tremblay > > <paulhtremblay@...287... <mailto:paulhtremblay@…287…> > <mailto:paulhtremblay@…287…>> > 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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