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,
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 bar into
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
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 after
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
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 generates
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
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 charts or
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 xlimits are
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:
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
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
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 you've
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
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:
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
-
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 =
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
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.co.uk
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
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 if
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 do they
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
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
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 docstring
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
aanum =
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
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
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 1 for the grids
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
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 something,
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
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.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 MPL on
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,
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
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),
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
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 the
(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 January
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
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
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 plotting
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 mode either...
What I'm trying
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.py,
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
Okay, thanks to Ryan, I now have this point fixed, however
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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