Hi all,
I have some time series of disk usage that I'd like to do a linear
regression on an plot on a nice graph with Mb used on the y-axis and
date on the x axis.
I tried to use pylab.polyfit(dates, usage) where:
dates = [datetime(x, y, z), datetime(a, b, c), ...]
usage = [12123234, 223423523
Hi All,
The majority of the docs for matplotlib focus on making its behaviour
like that of Matlab, however, I'm looking to use it to generate graphs
for display by web apps.
Where can I find good examples of doing this?
(ie: multi-threaded, multi-process apps which may by simulaneously
generat
On 07/08/2011 22:29, David Warde-Farley wrote:
>> Secondly, once I've populated this, any good examples of how to turn it
>> into a bar chart? (the simple bar chart would be number of sales on the
>> y-axis, weeks before the event on the x-axis, however, what I'd then
>> like to do is split each ba
Hi All,
Too many people in the Python community *still* think the only way to
work with Excel files in Python is using COM on Windows.
To try and correct this, I'm giving a tutorial at this year's EuroPython
conference in Birmingham, UK on Monday, 29th June that will cover
working with Excel f
Derek Hohls wrote:
> I hope I speak for others when I say: for those of us who cannot
> be at PyCon, please consider making tutorials etc available for
> download afterwards. We'd love to be able to spread the good
> word about these excellent libraries.
Keep an eye out on the PyConUS website af
Hi All,
Too many people in the Python community think the only way to work with
Excel files in Python is using COM on Windows.
To try and correct this, I'm giving a tutorial at this year's PyCon in
Chicago on Wednesday, 25th March that will cover working with Excel
files in Python using the pur
Hey All,
Is there any way I can control the location that a tk figure window is
shown on screen?
I can control the size fine with:
pylab.figure(figsize=(10,10))
...but this produces a figure that, while it's the right size, is
rendered with the top left of the window in the middle of the screen
Eric Firing wrote:
>
>> Out of interest, how does one tell MPL to "start a new figure and
>> forget everything that's gone before"?
>
> You can minimize the amount of package and module-level state
> information by using the oo interface: see examples/agg_oo.py.
I tried this example, and it ge
Hey All,
I have a dictionary that maps date to a count (in this case the number
of false negatives from my spam filter) and I'm wondering how to best
plot something that looks like, say:
from datetime import date
data = {
date(2008,03,01):10,
date(2008,03,02):15,
date(2008,03,03):13,
}
Matthias Michler wrote:
> I'm not sure it is the easiest way, but it works for me:
>
> for label in ax.xaxis.get_majorticklabels():
> label.set_rotation(+90)
Yes, that's what I was using, just wondered if there was a better way...
>> Also, how would I get this kind of updating with bar chart
Matthias Michler wrote:
> I'm not sure that I understand you correctly. The code I refering is the one
> which I attached some mails ago. The following works for me:
Ah, okay, to get the problem I was having, change your script as follows:
> --
Matthias Michler wrote:
>>> the above script leads
>>> to a different behaviour on my system.
>> What is that behaviour and what version of matplotlib are you using?
>
> I think it is the expected behaviour. The number of xtick is aproximately
> constant and some tick get sorted out, when the xli
Matthias Michler wrote:
My x-axis is time, and as new points are plotted, even though I'm
following the above recipe pretty closely, the x-tick spacing isn't
getting sorted out, so I end up with just a jumble as the tick labels
for the x-axis. Do you know why this might be?
I'm not sure I under
lovegf86 wrote:
> What is the problem?
> Do I need to update numpy?
> Please help me, I am so desperate..
Install Python 2.5 from here:
http://python.org/ftp/python/2.5.2/python-2.5.2.msi
Install NumPy from here:
http://downloads.sourceforge.net/numpy/numpy-1.0.4.win32-p3-py2.5.exe
Install the w
Hi Brook,
Brook Lin wrote:
> raise RuntimeError("'%s' is not a writable dir; you must set
> %s/.matplotlib to be a writable dir. You can also set environment variable
> MPLCONFIGDIR to any writable directory where you want matplotlib data stored
> "%h)
This is the crucial bit.
Looks like yo
Hey Matthias,
Matthias Michler wrote:
> maybe something like the following helps you:
> -
> from pylab import *
> from time import sleep
>
> ion() # interactive mode 'on'
> figure()
> ax =
Kenneth Miller wrote:
>
> back in time. When i pass plot_dates timestamps for the y axis, and
> integers for the x axis it simply displays the y-axis as floats.
did you try:
plot_dates(x,dates,ydate=True)
?
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- htt
Michael Droettboom wrote:
> The "backend_driver.py" example runs a number of other examples using a
> number of different backends. That's been a reasonably successful set
> of regression and coverage tests. It's not perfect, but it's a start.
> There are also some lower-level unit tests for
Pierre GM wrote:
> Your data is indexed in time, right ? Your x-axis is a date object ? Then use
> scikits.timeseries
> http://scipy.org/scipy/scikits/wiki/TimeSeries
I'm not sure what this is giving me.
The dates are all python datetimes in a list already.
The missing values started off as '', I
Kenneth Miller wrote:
> Is it possible to plot dates on the Y-axis? I'd like to have
> dates on the y axis descending or ascending versus my values on the x
> - axis. Is it possible to do this or simply switch the axis?
Not sure what you mean, have you just tried it with plot or plot_dat
Michael Droettboom wrote:
>> That's cool'n'all, but when is svn going to make it into a Windows
>> binary release? ;-)
>>
> I suspect your question is somewhat rhetorical, but... it will probably
> be a while ;)
Why is that? Who cranks out the binary releases on Windows and what
compiler d
[re-adding in the list]
Eric Firing wrote:
> It looks like you have hit a bug that has been fixed. I don't know when
> it was fixed, but your example works with svn.
As I said elsewhere, with all the fixes, maybe it's time for a new
release? ;-)
> Also, you can call bar repeatedly; I think it
Eric Firing wrote:
> If you are referring to scripts in the matplotlib/examples/ subdirectory
> then you must have a version in which some of those scripts had not been
> brought up to date with the rest of matplotlib.
You should turn them into unit tests as well as examples.
I'm about to try a
Eric Firing wrote:
> In general, I don't think mpl is threadsafe at all; it uses global
> variables, such as all the rc parameters, that could easily be modified
> by one thread while being used by another.
Yep, I guessed as much, BFL it is then ;-)
> I think that great care
> would be needed
Michael Droettboom wrote:
> At least the Agg backend *looks* to be reasonably threadsafe -- there
> are no obvious gotchas like global variables etc. Note, though, that
> multithreading may not gain much in the way of performance since the
> global interpreter lock is never released around long
Giorgio F. Gilestro wrote:
>
> import numpy as np
> a = ['','','',1.1,2.2]
> mask_a = [i == '' for i in a]
> b = np.ma.MaskedArray(a, mask=mask_a)
Not very efficient, though, is it?
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.
Eric Firing wrote:
> Both with respect to documentation and functionality, what you are
> encountering is the historical aspect of masked arrays as a tacked-on
> part of python numeric packages, and of matplotlib.
*sigh* I feel lucky ;-)
> Support and
> integration are improving, but still far
Eric Firing wrote:
> This is not doing what you think it is,
Indeed, I guess I was seeing nans being treated as missing values rather
than being masked...
> You should use numpy.masked_where(numpy.isnan(aa), aa).
I am now ;-)
However, I'm still running into problems when I try and plot the gap
Pierre GM wrote:
> Could you send me an example of the kind of data you're using ?
It's basically performance and volume data for a high-volume website.
Unfortunately, the data is gappy in places due to data collection errors
in the past...
(it's important the gaps are shown, rather than trying t
Eric Firing wrote:
> Short of laboriously putting an image in each bar, no.
That's a shame :-(
So, no gradient filled patches in MPL?
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.co.uk
---
Eric Firing wrote:
>> How do I make the small gaps go away?
>
> With svn I don't see any gaps in the example above, either on screen or
> when saved to a png file.
That's cool'n'all, but when is svn going to make it into a Windows
binary release? ;-)
cheers,
Chris - not sure how to compile MP
Hi All,
Is there any way in MPL to do gradient filled bars like you can in
Excel? (click data series -> format data series -> patterns -> fill
effects -> gradient -> diagonal up)
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.co
Hi All,
Why does the following render small gaps horizontally between the bars?
import pylab
data = [1,2,1,2,4,2]
labels = pylab.arange(len(data1))
pylab.bar(labels,data1,width=1,linewidth=0)
pylab.show()
How do I make the small gaps go away?
cheers,
Chris
Matthias Michler wrote:
> - I think this could be a good improvement, but i'm not sure if it is easy to
> expand the functionality of the axes-legend (pyplot.legend or ax.legend) to
> that of a figure-legend(pyplot.figlegend or fig.legend with fig as a figure
> instance) without missing somethin
Hi Matthias,
Matthias Michler wrote:
> in "examples/zorder_demo.py" I found:
> ---
> The default drawing order for axes is patches, lines, text. This
> order is determined by the zorder attribute. The fol
Hi All,
I'm trying to plot a bar chart something like:
from pylab import *
from datetime import datetime,timedelta
now = datetime.now()
data1 = [1,2,3]
data2 = [4,5,6]
labels = [now-timedelta(1),now,now+timedelta(1)]
bar(labels,data1)
show()
However, this blows up:
Traceback (most recent cal
Chris Withers wrote:
> I tried fiddling with the zorder of the plot and the grid but nothing
> had any effect. What am I doing wrong? How do I get the grid to show up
> behind the lines?
Actually, I did manage to fix this by specifying a zorder of 10 for the
plots and a zorder of
Matthias Michler wrote:
> ax.yaxis.grid(which='minor')
This is what I was after, thankyou :-)
However, the lines show up on top of the lines plotted, not behind them
as I'd expect.
I tried fiddling with the zorder of the plot and the grid but nothing
had any effect. What am I doing wrong? How
Hi All,
A few of the units demos include the lines:
from pylab import nx
...but this import errors for me.
Why is that?
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.co.uk
-
Eric Firing wrote:
> It sounds like what you want it the pyplot figlegend command:
> def figlegend(handles, labels, loc, **kwargs):
This feels like what I should be wanting except:
- why does it need explicit parameters? why can't it pick up its lines
and labels automatically, like legend does?
Eric Firing wrote:
>> Specifically, what I have is an array like so:
>>
>> ['','','',1.1,2.2]
>
> Try something like this:
>
> import numpy.ma as ma
> from pylab import *
>
> aa = [3.4, 2.5, '','','',1.1,2.2]
> def to_num(arg):
> if arg == '':
> return .0
> return arg
>
> aa
Eric Firing wrote:
>> I can get the major ticks to show by doing grid(True), but how do I
>> get the same effect for minor ticks?
>
> Try
>
> grid(True, which='minor')
Thanks, that worked (well, it did what it was supposed to...) so it'd be
nice if it was in the online docs as well as the docs
Matthias Michler wrote:
> sorry I don't understand what you are exactly looking for. Maybe you could
> explain it once more.
Well, what you provided was pretty close, it's just that the legend was
partly placed outside the figure...
> In general I think all one can do is to play around with th
Hi All,
How do I go about showing minor ticks as lines across the whole plot, as
opposed to just little ticks at the side?
I can get the major ticks to show by doing grid(True), but how do I get
the same effect for minor ticks?
cheers,
Chris
--
Simplistix - Content Management, Zope & Python
Matthias Michler wrote:
> you can try xlabel of an empty string:
>
> xlabel(' ')
Thanks, and yes, a truly empty string xlabel(''), works :-)
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
- http://www.simplistix.co.uk
-
Hi Matthias,
Matthias Michler wrote:
> I'm not sure if there was an example in matplotlib, but the following works
> for me:
> -
> from pylab import *
> figure()
> subplot(111)
> subplots_adjust(right=0.7)
> plot(arange(10), labe
Hi All,
I'm using plot_date to plot some dates, but this sets an xlabel, and I
don't want the plot to have an xlabel.
How do I remove it?
I tried:
xlabel(None)
...but that just set the xlabel to 'None'...
cheers,
Chris
--
Simplistix - Content Management, Zope & Python Consulting
Hi All,
I'm wondering what work people have done with matplotlib in
multi-threaded environments such as your average python web framework.
Is matplotlib threadsafe?
How have people gone about safely using it in a multi-threaded environment?
cheers,
Chris
--
Simplistix - Content Management,
Hi All,
How would I go about placing the legend outside the plot area?
All the parameters to legend seem to place the legend somewhere within
the plot and I'd like to place it outside the plot, either above, below
or, most commonly, to the right, in the same way as the Excel legend
positions a
Eric Firing wrote:
> Chris,
>
> Use masked arrays. See masked_demo.py in the mpl examples subdirectory.
Hi Eric,
I took a look at that, but it uses:
import matplotlib.numerix.npyma as ma
...and matplotlib.numerix isn't listed in the API reference. Where are
the docs for this?
Specifically,
Hi All,
Say I have data that looks like:
date x y z
2008-01-01 10
2008-01-02 21 11
2008-01-02 32 15 5
How can I plot it such that all three lines are plotted by that it's
apparent two of them are missing some data?
(I know I could just sub in zeros for the missing values, but I'd
(meant this to go to the list too)
Christiaan Putter wrote:
> I'm having trouble understanding what it is you exactly want.
That's likely my fault ;-)
> You said you want to indicate that 'the monthly usage between September 1st
> and January 1st
> was, on average, the same as that between Janua
Cheng-Kong Wu wrote:
> I created several plots and want to export them to a
> Word file sequentially, how can I do that?
Why Word? It's a horrible file format and very difficult to deal with.
Why not just use one of the PDF backends (I don't think I'm making that
up, there are PDF back ends for
Hi All,
I hope this isn't considered off topic here, but this has been bugging
me for a while and I reckon you guys may be able to help. To boot, I'd
like to use matplotlib to make it happen, so I figure this list is fair
game ;-)
So, I have a series of measurements at points in time, eg:
200
Chris Withers wrote:
> Matthias Michler wrote:
>> plot([x1], [y1], "bo", [x2], [y2], "r+")
>
> This didn't work :-S
>
> - the first time I call show(), execution never comes back to my script
> so the code never gets to plot any further points
Ryan May wrote:
>
> Right, the show() command starts the GUI's mainloop, which blocks
> execution of the script until you close the figure. What you probably
> want is something like the dynamic_demo.py example.
...which barfes for me:
Traceback (most recent call last):
File "dynamic_demo.
Alan G Isaac wrote:
> On Tue, 11 Mar 2008, Chris Withers apparently wrote:
>> the first time I call show()
>
> http://matplotlib.sourceforge.net/faq.html#SHOW
Okay, that tells me that I prettymuch don't want to be using show(), but
I don't think I want interactive
Matthias Michler wrote:
> plot([x1], [y1], "bo", [x2], [y2], "r+")
This didn't work :-S
- the first time I call show(), execution never comes back to my script
so the code never gets to plot any further points
- if I put the "show" after the plotting loop (which means I don't get
the "live plo
Hi All,
Apologies if I'm missing anything obvious...
How do I plot lines point-by-point as opposed to by passing arrays?
I'm guessing something like:
plot([x],[y])
...but that feels a bit weird to me.
In any case, using that, I don't know how to plot more than one line at
a time, so thought
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