# default tick behaviour

Hi again, I'm having more trouble with matplotlib ticks

> today. I wrote a little demo script that illustrates some
> of the problems:

Hi Matthew,

Thanks for sending me these example scripts - it really helps to have
complete examples when working on these problems. I've made a few
changes to the tickval formatter. The relevant function is
matplotlib.axis.format_tickval and is pretty simple conceptually.

Try replacing the default format_tickval with this one. The d
variable gives the max-min distance of the view limits. I use
different format strings depending on the size of the distance.

def format_tickval(self, x):
'Format the number x as a string'
d = self.viewlim.interval()
if self._scale == 'log':
fx = self.transData.func(x)
if self._ticklabelStrings is None and not isdecade: return ''

#if the number is not too big and it's an int, format it as an
#int
if abs(x)<1e4 and x==int(x): return '%d' % x

# if the value is just a fraction off an int, use the int
if abs(x-int(x))<0.0001*d: return '%d' % int(x)

# use exponential formatting for really big or small numbers,
# else use float
if d < 1e-2 : fmt = '%1.2e'
elif d < 1e-1 : fmt = '%1.2f'
elif d > 1e5 : fmt = '%1.3e'
elif d > 10 : fmt = '%1.1f'
elif d > 1 : fmt = '%1.2f'
else : fmt = '%1.3f'
s = fmt % x
#print d, fmt, x, s
# strip trailing zeros, remove '+', and handle exponential formatting
m = self._zerorgx.match(s)
if m:
s = m.group(1)
if m.group(2) is not None: s += m.group(2)
s = s.replace('+', '')
return s

And then feed it some more of your sadistic examples <wink>. If you
don't like what you see, try tweaking the formats and the distance
values until you get sensible results. Or feel free to provide more