matplotlib-users Mailing List for matplotlib

Hello,

Sorry if this question was answered before. I did a search in the
mailing list archives but couldn't find any answer.

Is there an easy way to use comma as a decimal separator in texts,
especially in tick labels? I know that it is possible to user 
formatters to do that, but I was wondering if there is an automatic
setting or something that could be applied to axes instances, as I 
have more than 200 scripts to generate plots and I don't want to 
edit every one of them. Maybe there is a TeX setting (I uset 
usetex=True)?

I tried setting locales, but it didn't work. I also tried to
process the texts in the tick labels, but that didn't work also.
Maybe I am overseeing something, but any hint would help.

Thanks in advance:

---
José Alexandre Nalon
na...@te...

well I knew there was a better solution, thanks.

I guess I'll just have to upgrade my installation.


Andre


On Jul 28, 2011, at 12:44 PM, Ben Breslauer wrote:

> Hmm, no, it looks like the tick_params were added in 1.0.  I can also get it to work using
> 
> plt.setp(ax.xaxis.get_ticklines(minor=False), markersize=10)
> 
> but I'm using matplotlib 1.0.1.  I'm not sure if neither of those solutions work.
> 
> Ben
> 
> On Thu, Jul 28, 2011 at 3:30 PM, Andre' Walker-Loud <wal...@gm...> wrote:
> Hi Ben,
> 
> Would you expect this to work on Matplotlib 0.99.3?
> 
> I get the following error
> 
> AttributeError: 'XAxis' object has no attribute 'set_tick_params'
> 
> 
> Thanks,
> 
> 
> Andre
> 
> 
> On Jul 28, 2011, at 12:18 PM, Ben Breslauer wrote:
> 
>> Hi Andre,
>> 
>> You should be able to set the size with the following:
>> 
>> params = {'length': 10}
>> axis = plt.axes().xaxis
>> axis.set_tick_params(which='major', **params)
>> 
>> You can also use 'minor' instead of 'major' to set the minor ticks.  There are a number of different valid values for the params dict, including direction, width, and color.
>> 
>> Ben
>> 
>> On Thu, Jul 28, 2011 at 2:22 PM, Andre' Walker-Loud <wal...@gm...> wrote:
>> Hi All,
>> 
>> I am trying to modify tick sizes and labels.  Reading documents and examples, I have found an easy way to modify the labels,
>> 
>> > import matplotlib.pyplot as plt
>> >
>> > ax = plt.axes()
>> > font_size = 24
>> >
>> > plt.setp(ax.get_xticklabels(),fontsize=font_size)
>> 
>> 
>> but I am struggling to find such a nice solution for the tick size.  I would like to change the size of the major and minor ticks independently.  But the best I have come up with so far is a brute force double loop (I tried calling "major=False" but "major" is not a recognized kwarg)
>> 
>> > for tick in ax.xaxis.get_ticklines(minor=True):
>> >     tick.set_markersize(5)
>> > for tick in ax.xaxis.get_ticklines(minor=False):
>> >     tick.set_markersize(10)
>> 
>> 
>> I assume there is some nice solution like for the tick labels, but I have not found it.
>> 
>> Anyone figured this one out yet?
>> 
>> 
>> Thanks,
>> 
>> Andre
>> ------------------------------------------------------------------------------
>> Got Input?   Slashdot Needs You.
>> Take our quick survey online.  Come on, we don't ask for help often.
>> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
>> http://p.sf.net/sfu/slashdot-survey
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>> 
> 
> 

Hmm, no, it looks like the tick_params were added in 1.0.  I can also get it
to work using

plt.setp(ax.xaxis.get_ticklines(minor=False), markersize=10)

but I'm using matplotlib 1.0.1.  I'm not sure if neither of those solutions
work.

Ben

On Thu, Jul 28, 2011 at 3:30 PM, Andre' Walker-Loud <wal...@gm...>wrote:

> Hi Ben,
>
> Would you expect this to work on Matplotlib 0.99.3?
>
> I get the following error
>
> AttributeError: 'XAxis' object has no attribute 'set_tick_params'
>
>
> Thanks,
>
>
> Andre
>
>
> On Jul 28, 2011, at 12:18 PM, Ben Breslauer wrote:
>
> Hi Andre,
>
> You should be able to set the size with the following:
>
> params = {'length': 10}
> axis = plt.axes().xaxis
> axis.set_tick_params(which='major', **params)
>
> You can also use 'minor' instead of 'major' to set the minor ticks.  There
> are a number of different valid values for the params dict, including
> direction, width, and color.
>
> Ben
>
> On Thu, Jul 28, 2011 at 2:22 PM, Andre' Walker-Loud <wal...@gm...>wrote:
>
>> Hi All,
>>
>> I am trying to modify tick sizes and labels.  Reading documents and
>> examples, I have found an easy way to modify the labels,
>>
>> > import matplotlib.pyplot as plt
>> >
>> > ax = plt.axes()
>> > font_size = 24
>> >
>> > plt.setp(ax.get_xticklabels(),fontsize=font_size)
>>
>>
>> but I am struggling to find such a nice solution for the tick size.  I
>> would like to change the size of the major and minor ticks independently.
>>  But the best I have come up with so far is a brute force double loop (I
>> tried calling "major=False" but "major" is not a recognized kwarg)
>>
>> > for tick in ax.xaxis.get_ticklines(minor=True):
>> >     tick.set_markersize(5)
>> > for tick in ax.xaxis.get_ticklines(minor=False):
>> >     tick.set_markersize(10)
>>
>>
>> I assume there is some nice solution like for the tick labels, but I have
>> not found it.
>>
>> Anyone figured this one out yet?
>>
>>
>> Thanks,
>>
>> Andre
>>
>> ------------------------------------------------------------------------------
>> Got Input?   Slashdot Needs You.
>> Take our quick survey online.  Come on, we don't ask for help often.
>> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
>> http://p.sf.net/sfu/slashdot-survey
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>

Hi Ben,

Would you expect this to work on Matplotlib 0.99.3?

I get the following error

AttributeError: 'XAxis' object has no attribute 'set_tick_params'


Thanks,


Andre


On Jul 28, 2011, at 12:18 PM, Ben Breslauer wrote:

> Hi Andre,
> 
> You should be able to set the size with the following:
> 
> params = {'length': 10}
> axis = plt.axes().xaxis
> axis.set_tick_params(which='major', **params)
> 
> You can also use 'minor' instead of 'major' to set the minor ticks.  There are a number of different valid values for the params dict, including direction, width, and color.
> 
> Ben
> 
> On Thu, Jul 28, 2011 at 2:22 PM, Andre' Walker-Loud <wal...@gm...> wrote:
> Hi All,
> 
> I am trying to modify tick sizes and labels.  Reading documents and examples, I have found an easy way to modify the labels,
> 
> > import matplotlib.pyplot as plt
> >
> > ax = plt.axes()
> > font_size = 24
> >
> > plt.setp(ax.get_xticklabels(),fontsize=font_size)
> 
> 
> but I am struggling to find such a nice solution for the tick size.  I would like to change the size of the major and minor ticks independently.  But the best I have come up with so far is a brute force double loop (I tried calling "major=False" but "major" is not a recognized kwarg)
> 
> > for tick in ax.xaxis.get_ticklines(minor=True):
> >     tick.set_markersize(5)
> > for tick in ax.xaxis.get_ticklines(minor=False):
> >     tick.set_markersize(10)
> 
> 
> I assume there is some nice solution like for the tick labels, but I have not found it.
> 
> Anyone figured this one out yet?
> 
> 
> Thanks,
> 
> Andre
> ------------------------------------------------------------------------------
> Got Input?   Slashdot Needs You.
> Take our quick survey online.  Come on, we don't ask for help often.
> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
> http://p.sf.net/sfu/slashdot-survey
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 

Hi Andre,

You should be able to set the size with the following:

params = {'length': 10}
axis = plt.axes().xaxis
axis.set_tick_params(which='major', **params)

You can also use 'minor' instead of 'major' to set the minor ticks.  There
are a number of different valid values for the params dict, including
direction, width, and color.

Ben

On Thu, Jul 28, 2011 at 2:22 PM, Andre' Walker-Loud <wal...@gm...>wrote:

> Hi All,
>
> I am trying to modify tick sizes and labels.  Reading documents and
> examples, I have found an easy way to modify the labels,
>
> > import matplotlib.pyplot as plt
> >
> > ax = plt.axes()
> > font_size = 24
> >
> > plt.setp(ax.get_xticklabels(),fontsize=font_size)
>
>
> but I am struggling to find such a nice solution for the tick size.  I
> would like to change the size of the major and minor ticks independently.
>  But the best I have come up with so far is a brute force double loop (I
> tried calling "major=False" but "major" is not a recognized kwarg)
>
> > for tick in ax.xaxis.get_ticklines(minor=True):
> >     tick.set_markersize(5)
> > for tick in ax.xaxis.get_ticklines(minor=False):
> >     tick.set_markersize(10)
>
>
> I assume there is some nice solution like for the tick labels, but I have
> not found it.
>
> Anyone figured this one out yet?
>
>
> Thanks,
>
> Andre
>
> ------------------------------------------------------------------------------
> Got Input?   Slashdot Needs You.
> Take our quick survey online.  Come on, we don't ask for help often.
> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
> http://p.sf.net/sfu/slashdot-survey
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi All,

I am trying to modify tick sizes and labels.  Reading documents and examples, I have found an easy way to modify the labels,

> import matplotlib.pyplot as plt
>
> ax = plt.axes()
> font_size = 24
>
> plt.setp(ax.get_xticklabels(),fontsize=font_size)


but I am struggling to find such a nice solution for the tick size.  I would like to change the size of the major and minor ticks independently.  But the best I have come up with so far is a brute force double loop (I tried calling "major=False" but "major" is not a recognized kwarg)

> for tick in ax.xaxis.get_ticklines(minor=True):
>     tick.set_markersize(5)
> for tick in ax.xaxis.get_ticklines(minor=False):
>     tick.set_markersize(10)


I assume there is some nice solution like for the tick labels, but I have not found it.

Anyone figured this one out yet?


Thanks,

Andre

Hi there,

i'd like to plot a data series with signal values over timestamps, what
works perfectly. But if I want to display 2 series with different time
domains, theres a gap in between.
For example my first set of data is from time (x) 1-3 and the second from
7-8. If I send the mixed array to the plot, I will receive something like
that:
 
y|    x x x         x x x 
x| 0 1 2 3 4 5 6 7 8 9 10 11

But if there is considerably more time between the to data sets, it soon
will look confusing.
What i need is a graph over this:

y| x x x   x x x 
x| 1 2 3  7 8 9

Of course I could do this with 2 subplots, but i want to scroll over a whole
set of data.
Is it possible wih matplotlib, or is there a workaround?

Thanks!
Hubert 

-- 
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Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,

try if:
gcf().set_frameon(False)

helps.


greetings
Till