Hello list
matplotlib website says this mailing is the prefered way to report
bug, so here I am :
System :
python ; 2.7.2+
matplotlib 1.1.0
ubuntu TLS amd64
matplotlib Backend : TkAgg
How to reproduce (on my pf)
Code Snippet :
######CODE
import matplotlib
import matplotlib.pyplot as p
import random
y = random.randint(0,10000000)
p.plot( [ int( y * ( 1 - 0.0006)) , y])
p.show()
######ENDCODE
Exected Result :
https://github.com/jul/pypi-stat/blob/master/why.png
Cause ?
It stinks something like a rounding error on the float.
If it also happens in Qt/Gtk backend it might be a matplotlib bug, if
it is only in Tk then it is either a Tk or a TkAgg bug.
Cheers,
···
--
Jul
Sorry, I thougt I used the wrong address for mailing and resent. 
Sorry, I'm not clear on what the bug is. Is the picture you link to the
*expected* result or the result from *executing* the code snippet. There
are some inconsistencies between the pic and the code (legend, time on
xaxis, 3 point in pic, title), so it's a bit unclear what you're referring
to.
If you're talking about the offset value added to the y-axis, it's actually
not a bug; it's a feature (usually that's a joke, but in this case, I'm
serious).
This feature is useful when you have large numbers that vary over small
ranges. Maybe it's not so bad in your example, but for larger numbers with
smaller ranges (see code snippet below), it's quite helpful. I thought
there was an rc parameter to tweak the value for using offsets, but I can't
seem to find it. Below I create a custom tick formatter and turn offsets.
There may be a better way to do this.
If this isn't the bug you were suggesting, please clarify.
Best,
-Tony
···
On Mon, Apr 23, 2012 at 5:09 AM, jul tayon <jtayon@...287...> wrote:
Hello list
matplotlib website says this mailing is the prefered way to report
bug, so here I am :
System :
python ; 2.7.2+
matplotlib 1.1.0
ubuntu TLS amd64
matplotlib Backend : TkAgg
How to reproduce (on my pf)
Code Snippet :
######CODE
import matplotlib
import matplotlib.pyplot as p
import random
y = random.randint(0,10000000)
p.plot( [ int( y * ( 1 - 0.0006)) , y])
p.show()
######ENDCODE
Exected Result :
https://github.com/jul/pypi-stat/blob/master/why.png
Cause ?
It stinks something like a rounding error on the float.
If it also happens in Qt/Gtk backend it might be a matplotlib bug, if
it is only in Tk then it is either a Tk or a TkAgg bug.
Cheers,
--
Jul
#~~~~~
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# or `ax = plt.gca()` for older versions of matplotlib
y = 1e9
ax.plot([y, y+1])
ax.yaxis.set_major_formatter(plt.ScalarFormatter(useOffset=False))
plt.show()
#~~~~~
Hello list
matplotlib website says this mailing is the prefered way to report
bug, so here I am :
System :
python ; 2.7.2+
matplotlib 1.1.0
ubuntu TLS amd64
matplotlib Backend : TkAgg
How to reproduce (on my pf)
Code Snippet :
######CODE
import matplotlib
import matplotlib.pyplot as p
import random
y = random.randint(0,10000000)
p.plot( [ int( y * ( 1 - 0.0006)) , y])
p.show()
######ENDCODE
Exected Result :
https://github.com/jul/pypi-stat/blob/master/why.png
Cause ?
It stinks something like a rounding error on the float.
If it also happens in Qt/Gtk backend it might be a matplotlib bug, if
it is only in Tk then it is either a Tk or a TkAgg bug.
Cheers,
--
Jul
Sorry, I'm not clear on what the bug is. Is the picture you link to the
*expected* result or the result from *executing* the code snippet. There are
some inconsistencies between the pic and the code (legend, time on xaxis, 3
point in pic, title), so it's a bit unclear what you're referring to.
If you're talking about the offset value added to the y-axis, it's actually
not a bug; it's a feature (usually that's a joke, but in this case, I'm
serious).
This feature is useful when you have large numbers that vary over small
ranges. Maybe it's not so bad in your example, but for larger numbers with
smaller ranges (see code snippet below), it's quite helpful. I thought there
was an rc parameter to tweak the value for using offsets, but I can't seem
to find it. Below I create a custom tick formatter and turn offsets. There
may be a better way to do this.
With recent mpl you can use the ticklabel_format pyplot function or axes method.
Eric
···
On Tue, Apr 24, 2012 at 12:21 AM, Tony Yu <tsyu80@...287...> wrote:
On Mon, Apr 23, 2012 at 5:09 AM, jul tayon <jtayon@...287...> wrote:
If this isn't the bug you were suggesting, please clarify.
Best,
-Tony
#~~~~~
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# or `ax = plt.gca()` for older versions of matplotlib
y = 1e9
ax.plot([y, y+1])
ax.yaxis.set_major_formatter(plt.ScalarFormatter(useOffset=False))
plt.show()
#~~~~~
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