Re: [Matplotlib-users] [matplotlib-users] How to plot y vs x with some missing points in y vector?
Fri, 27 Jan 2012 16:48:25 +0100 Fabien Lafont a écrit: I want to plot something like: X(time)Ypoints 08 1 2 7 3 4 5 6 7 8 9 Sorry if I'm missing something, but can't you plot Y [8,7] against X [0,2] ? -- Jérôme -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plot_date issue : OverflowError: date value out of range
Hi all. I'm trying to use plot_date and I get an error I don't understand. I've reduced my problem to this small example: - from pylab import figure, show dates = [301,302,303] #dates = [1,2,303] #dates = [1,2,3] values = [1,2,4] fig = figure() ax = fig.add_subplot(111) ax.plot_date(dates, values,'-') fig.autofmt_xdate() show() - This works. I get a plot with the values for the 301st, 302nd and 303rd day of year one. (I don't actually mind the year, all I know is my simulation starts the first of january of any year.) If I use dates = [1,2,303], it works as well. However, with dates = [1,2,3], it does not, and I get the error : OverflowError: date value out of range I don't understand. I may not be aware of everything concerning dates in python, but as far as I understand, those dates are correct and are the first three days of year one. Aren't they ? Since I don't mind the year, I guess I could add an arbitrary number of years to my dates as a workaround for this error. Another question that could be related: http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/msg01720.html Thanks for any help. -- Jérôme -- Systems Optimization Self Assessment Improve efficiency and utilization of IT resources. Drive out cost and improve service delivery. Take 5 minutes to use this Systems Optimization Self Assessment. http://www.accelacomm.com/jaw/sdnl/114/51450054/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi all.
The position of an axes is fixed at creation, regardless of the what goes
outside the plot area. If the numbers on the y-axis are big enough (say, 7
digits) and a label is added, the label gets out of the figure.
Example :
--
import pylab
data = [0,1,2,300]
fig = pylab.figure()
ax1 = fig.add_subplot(1,1,1)
ax1.plot(data)
ax1.set_ylabel('label_axis_y1')
pylab.show()
--
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Or did I miss something ?
Thanks.
--
Jérôme
--
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Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Hi again.
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
[...]
Or did I miss something ?
It seems I missed figure.tight_layout().
Sorry about that...
--
Jérôme
--
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This white paper is intended to serve as a reference, checklist and point of
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Re: [Matplotlib-users] Dynamic adjustment of axis position and size in figure
Wed, 7 Dec 2011 20:29:22 +0100
Jérôme a écrit:
Is there a way to automatically resize the axis and nicely center the whole
set {axes + ticklabels + labels} in the figure ?
One could use add_axes and play with the coordinates until he gets something
nice, but it gets complicated to have it automatic as things depends on
- the number of digits of y-axis ticklabels
- whether or not a secundary y-axis is added on the right (using twinx)
Hi again, sorry for multi-posting.
Apparently, figure.tight_layout() does not take into account the secondary
y-axis on the right.
Is this a known limitation ? (I don't see it on the caveats paragraph [1].)
Or is this the use I make of it that is incorrect ?
Example :
--
import pylab
fig = pylab.figure()
data_1 = [0,1,2,3]
data_2 = [0,5,250,3]
lines = []
# Primary axis
ax1 = fig.add_subplot(1,1,1)
lines.extend (ax1.plot(data_1, 'b'))
# Secondary axis
ax2 = pylab.twinx(ax1)
lines.extend (ax2.plot(data_2, 'g'))
labels = ['Data 1', 'Data 2']
fig.tight_layout()
pylab.show()
--
Thanks.
[1] http://matplotlib.sourceforge.net/users/tight_layout_guide.html
--
Jérôme
--
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This white paper is intended to serve as a reference, checklist and point of
discussion for anyone considering optimizing the pricing and packaging model
of a cloud services business. Read Now!
http://www.accelacomm.com/jaw/sfnl/114/51491232/
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