Re: [Matplotlib-users] grid option

[John Hunter <jdhunter@ac...>]

>>>>> "Steve" == Steve Chaplin <stevech1097@...> writes:

    Steve> John, I'm having a problem with gridlines.  I set axes.grid
    Steve> : True in my .matplotlibrc file

    Steve> But when I run examples/embedding_in_gtk.py and
    Steve> examples/simple_plot.py there are no gridlines.


Oops, this was just an oversight.  In matplotlib.axes.Axes.cla, change


        self._gridOn = False
to 
        self._gridOn = rcParams['axes.grid']


Should help; thanks for letting me know,
JDH

[Matplotlib-users] grid option

[Steve Chaplin <stevech1097@ya...>]

John,
I'm having a problem with gridlines.
I set
axes.grid          : True
in my .matplotlibrc file

But when I run
examples/embedding_in_gtk.py and
examples/simple_plot.py there are no gridlines.

Regards,
Steve

Re: [Matplotlib-users] add colors to scatter plots

[John Hunter <jdhunter@ac...>]

>>>>> "paulo" == paulo  <pherrera@...> writes:

    paulo> I am using the scatter plot of Matplotlib to plot the
    paulo> position of each particle. That works great, but when I try
    paulo> to assign different colors to each dot according to their
    paulo> concentration I find some problems. Although there is a big
    paulo> range of concentrations (colors) I can only see two in the
    paulo> plot. Is it possible to define more intervals to assign the
    paulo> colors?  I think I did not understand the right way to
    paulo> define the c array intensities when I use the command:
    paulo> scatter(self, x, y, s=None, c) How should I generate that
    paulo> array? I looked at the example but I couldn't figure it
    paulo> out.

Hi Paulo,

It would help to see some code to let you know why your current
approach isn't working.  For now, all I can say is that c should be a
len(x) Numeric array of concentrations.  It might help for you to do

  hist(c, 100) 

to look at the distribution of concentrations.  If the distribution is
bimodal and strongly peaked, this may explain why you only see two
colors.

As for your question about defining more colors, the default is to use
a colormap of 1000 colors, which should be an ample number to see a
range unless something funny is going on with your c array.

When you post some code, also post the first few entries of c, eg
c[:10].

JDH

Re: [Matplotlib-users] figure notation

[John Hunter <jdhunter@ac...>]

>>>>> "Kirk" == Kirk Lamont <k.lamont@...> writes:

    Kirk> Hey.  We are using Matplotlib with Python and C to create
    Kirk> run time graphs.  However, we are having trouble figuring
    Kirk> out how to get the axes to show up in scientific notation.
    Kirk> If anyone have some info it would be very much appreciated.
    Kirk> Thanks

If I understand you correctly, you want to use notation like 1.0e-6 on
the x and/or y axis tick labels.  Is this correct?  Having more
automated tick labelers is something that has been discussed and will
be added in the not-too-distant future.

In the mean time you can control them directly

  ax = subplot(111)
  plot([1,2,3])
  xticks = ax.get_xticks()

  labels = [ '%1.0e'%val for val in xticks ]
  ax.set_xticklabels(labels)

or you may want to define your own ticks

  xticks = [1e-6, 2e-6, 3e-6, 4e-6]
  ax.set_xticks(xticks)
  labels = [ '%1.0e'%val for val in xticks ]
  ax.set_xticklabels(labels)

Hope this helps,
John Hunter