On 7/18/07, Tom Haddon <[EMAIL PROTECTED]> wrote:
> I think you mean it makes no assumption about the intervals between my
> dates? If so, I must be missing something. How am I supposed to pass the
> data to the plot_date function? If I pass it in as integers from epoch I
> get an error saying "yea
On Wed, 2007-07-18 at 18:37 -0500, John Hunter wrote:
> On 7/18/07, Tom Haddon <[EMAIL PROTECTED]> wrote:
> \> What I mean by this is that I'm not collecting the data at regular time
> > intervals. So I'd like to plot this, and have found that the plot_date
> > function seems to be designed for spe
On 7/18/07, Tom Haddon <[EMAIL PROTECTED]> wrote:
\> What I mean by this is that I'm not collecting the data at regular time
> intervals. So I'd like to plot this, and have found that the plot_date
> function seems to be designed for specific known time intervals. Instead
Nope, it makes so assumpt
Hi Folks,
Newbie question here...
I have a question about plotting data with irregular dates. Here's a
sample of my data (completely fabricated):
2007-06-29 20:22:03, 612
2007-07-18 09:07:03, 658
2007-07-19 11:07:05, 600
2007-07-19 15:12:07, 734
etc., etc., etc..
What I mean by this is that I'm
Lionel Roubeyrie <[EMAIL PROTECTED]>
writes:
> I've got a problem with saving plots in pdf format like you can see in the
> following output. It seems encodings.cp1252 doesn't have a decoding_map
> method (but a decoding_table one).
> Is it a bug or a problem in my encodings file?
It's a bug, f
I just commited Alexander Schmolck's patch to make usetex respect changes to
rc settings. TexManager used to configure its support for latex at load time,
and ignored later changes to rc settings. Thank you Alexander for the patch.
Alexander - I am sorry it took so long to commit this patch. I c
Darren Dale wrote:
> On Wednesday 18 July 2007 6:56:18 am Armando Serrano Lombillo wrote:
>> Yes!
>> matplotlib is beautiful. Thanks everybody for your help.
>
> Here is another way, with numpy arrays:
>
> data[data==0]=nan
>
> plot(data)
Support for nan in input arrays in mpl is not uniform, t
On Wednesday 18 July 2007 07:11:04 Darren Dale wrote:
> Here is another way, with numpy arrays:
>
> data[data==0]=nan
My 2c:
That won't work if data is int_, as nan will be treated as 0.
I'm fairly partial to masked arrays...
---
Hi all,
I've got a problem with saving plots in pdf format like you can see in the
following output. It seems encodings.cp1252 doesn't have a decoding_map
method (but a decoding_table one).
Is it a bug or a problem in my encodings file?
thanks
|Diagrammes|[68]>matplo
mark starnes wrote:
> Hi Mike, thanks for responding.
>
> I spent most of last night with this, re-installing Python using SuSE's
> package manager, re-installing matplotlib the same way. No joy. I
> tried downloading the matplotlib source and found that when I attempted
> to install, setup.py cl
Further to the last post, I've also noticed strange behavior when
importing distutils.
>>> import distutils as d
>>> dir(d)
['__builtins__', '__doc__', '__file__', '__name__', '__path__',
'__revision__', '__version__']
>>> d.__file__
'/usr/local/lib/python2.5/distutils/__init__.pyc'
Maybe this i
Hi,
I wrote:
> I was wondering, though, whether there'd be any support for some work
> which tidied up the near-duplicate code in axes.py.
which produced a couple of replies. I think this is probably more of a
matplotlib-devel topic than a -users one, so I'll post a reply over
there.
Ben.
On Wednesday 18 July 2007 6:56:18 am Armando Serrano Lombillo wrote:
> Yes!
> matplotlib is beautiful. Thanks everybody for your help.
Here is another way, with numpy arrays:
data[data==0]=nan
plot(data)
> On 7/18/07, Angus McMorland <[EMAIL PROTECTED]> wrote:
> > Hi Armando,
> >
> > On 18/07/
Hi Mike, thanks for responding.
I spent most of last night with this, re-installing Python using SuSE's
package manager, re-installing matplotlib the same way. No joy. I
tried downloading the matplotlib source and found that when I attempted
to install, setup.py claimed I didn't have gtk availab
Yes!
matplotlib is beautiful. Thanks everybody for your help.
On 7/18/07, Angus McMorland <[EMAIL PROTECTED]> wrote:
Hi Armando,
On 18/07/07, Armando Serrano Lombillo <[EMAIL PROTECTED]> wrote:
> Hello, I have a question.
>
> Let's say I have the following data:
> [1,3,6,1,2,0,0,0,0,1,4,7,9,4,
Hi Armando,
On 18/07/07, Armando Serrano Lombillo <[EMAIL PROTECTED]> wrote:
> Hello, I have a question.
>
> Let's say I have the following data:
> [1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8]
> which I want to plot, but I want to omit the zeros, so I would like to do
>
Hello thanks everybody for you fast replies, but unfortunately there's a
problem with all the solutions you propose: they plot a line between each of
the data sets. It is not the same to do:
plot([1,2],[1,1])
plot([7,8],[1,1])
than to do
plot([1,2,7,8],[1,1,1,1])
The first example plots two disjoi
You can do it this way:
data = array(data)
x = arange(len(data))
plot(x[data!=0], data[data!=0])
Regards,
~ Antonio
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Even in only one line:
plot([i+1 for i in range(len(data)) if data[i]>0], [i for i in data if i>0])
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Hola Alejandro,
sure, I think this can do the job:
write a function to calc your X values:
def x(data):
X=[]
c=1
for i in data:
if i>0:
X.append(c)
c+=1
return X
then your data without zeros in a pythonic way:
>>> my_y_data=[i for i in data if i>0]
w
Hello, I have a question.
Let's say I have the following data:
[1,3,6,1,2,0,0,0,0,1,4,7,9,4,2,4,6,0,0,0,0,0,0,0,0,0,0,0,0,1,3,5,6,7,8]
which I want to plot, but I want to omit the zeros, so I would like to do
something like:
plot(range(1,6), [1,3,6,1,2], 'b')
plot(range(10,18), [1,4,7,9,4,2,4,6],
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