Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
···
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
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You can do `ax.set_xscale('log')` to set the x-axis to log scale and
similarly for the y-axis. It'll automatically make the tick labels make
sense. Also, you won't need to pass in the log10 of n or P, matplotlib will
handle all of that for you.
Cheers!
Ben Root
···
On Wed, Nov 8, 2017 at 10:10 AM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
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You can do this with the formatter on the axis, see
https://matplotlib.org/gallery/ticks_and_spines/tick-formatters.html#sphx-glr-gallery-ticks-and-spines-tick-formatters-py
and https://matplotlib.org/api/ticker_api.html
You can also pass log-spaced bins to `hist2D` and then set the axis scales
to log (but trying to construct an example did not got as I expected...)
Tom
···
On Wed, Nov 8, 2017 at 10:10 AM Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
-------------- next part --------------
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I was able to get the major ticks labeled in the way I want by doing:
ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x,pos:
r'10^\{%i\}'% x))
I don't get any minor ticks that way. I could live with that, though I'd
prefer to get logarithmically spaced minor ticks. I tried
ax.xaxis.set_minor_locator(ticker.LogLocator())
but that seemed to have no effect.
The idea of providing logarithmically bin edges seems like a good one, but
as Tom says does not do what is expected. I tried using numpy's
histogram2d providing logarithmically spaced bins and it worked as expected
(though for some reason the array returned was transposed), so I think this
is a bug in hist2d.
Jon
···
On Wed, Nov 8, 2017 at 12:01 PM, Thomas Caswell <tcaswell at gmail.com> wrote:
You can do this with the formatter on the axis, see
https://matplotlib.org/gallery/ticks_and_spines/tick-
formatters.html#sphx-glr-gallery-ticks-and-spines-tick-formatters-py and
https://matplotlib.org/api/ticker_api.html
You can also pass log-spaced bins to `hist2D` and then set the axis scales
to log (but trying to construct an example did not got as I expected...)
Tom
On Wed, Nov 8, 2017 at 10:10 AM Slavin, Jonathan <jslavin at cfa.harvard.edu> > wrote:
Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
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By default, the minor ticks are turned off. You have to turn it on
yourself. This is one of the things that set_xscale('log') does for you
automatically.
···
On Wed, Nov 8, 2017 at 1:50 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> wrote:
I was able to get the major ticks labeled in the way I want by doing:
ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x,pos:
r'10^\{%i\}'% x))
I don't get any minor ticks that way. I could live with that, though I'd
prefer to get logarithmically spaced minor ticks. I tried
ax.xaxis.set_minor_locator(ticker.LogLocator())
but that seemed to have no effect.
The idea of providing logarithmically bin edges seems like a good one,
but as Tom says does not do what is expected. I tried using numpy's
histogram2d providing logarithmically spaced bins and it worked as expected
(though for some reason the array returned was transposed), so I think this
is a bug in hist2d.
Jon
On Wed, Nov 8, 2017 at 12:01 PM, Thomas Caswell <tcaswell at gmail.com> > wrote:
You can do this with the formatter on the axis, see
https://matplotlib.org/gallery/ticks_and_spines/tick-for
matters.html#sphx-glr-gallery-ticks-and-spines-tick-formatters-py and
https://matplotlib.org/api/ticker_api.html
You can also pass log-spaced bins to `hist2D` and then set the axis
scales to log (but trying to construct an example did not got as I
expected...)
Tom
On Wed, Nov 8, 2017 at 10:10 AM Slavin, Jonathan <jslavin at cfa.harvard.edu> >> wrote:
Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
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Actually I have now found a better approach. What I do is create the
histogram using numpy.histogram2d with logarithmic bins as input. Then I
use pcolormesh to create the plot. I'm basically following the lead shown
on the numpy.histogram2d page.
Jon
···
On Wed, Nov 8, 2017 at 2:01 PM, Benjamin Root <ben.v.root at gmail.com> wrote:
By default, the minor ticks are turned off. You have to turn it on
yourself. This is one of the things that set_xscale('log') does for you
automatically.
On Wed, Nov 8, 2017 at 1:50 PM, Slavin, Jonathan <jslavin at cfa.harvard.edu> > wrote:
I was able to get the major ticks labeled in the way I want by doing:
ax.xaxis.set_major_formatter(ticker.FuncFormatter(lambda x,pos:
r'10^\{%i\}'% x))
I don't get any minor ticks that way. I could live with that, though I'd
prefer to get logarithmically spaced minor ticks. I tried
ax.xaxis.set_minor_locator(ticker.LogLocator())
but that seemed to have no effect.
The idea of providing logarithmically bin edges seems like a good one,
but as Tom says does not do what is expected. I tried using numpy's
histogram2d providing logarithmically spaced bins and it worked as expected
(though for some reason the array returned was transposed), so I think this
is a bug in hist2d.
Jon
On Wed, Nov 8, 2017 at 12:01 PM, Thomas Caswell <tcaswell at gmail.com> >> wrote:
You can do this with the formatter on the axis, see
https://matplotlib.org/gallery/ticks_and_spines/tick-for
matters.html#sphx-glr-gallery-ticks-and-spines-tick-formatters-py and
https://matplotlib.org/api/ticker_api.html
You can also pass log-spaced bins to `hist2D` and then set the axis
scales to log (but trying to construct an example did not got as I
expected...)
Tom
On Wed, Nov 8, 2017 at 10:10 AM Slavin, Jonathan < >>> jslavin at cfa.harvard.edu> wrote:
Hi,
I'm wondering if anyone knows of a good way to relabel axes for a
particular case I'm dealing with. I'm making a 2D histogram, using hist2d
of course. The thing is that for my case, where I'm plotting the density
vs. pressure for results from a hydro run, it makes more sense to use the
log of the quantities as the inputs for hist2d. So then I need to give the
log of the density and pressure to hist2d. This works fine for making the
histogram, but then the axes are labelled with log10(n), log10(P). I'd
prefer to have the axes labelled as for a logarithmic plot, so instead of
say 4.0, 10^4. Is there a simple way of doing that. I'm pretty sure I can
just specify by hand the ticks and tick labels, though that's kind of a
pain. Any help would be appreciated.
Regards,
Jon
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users at python.org
Matplotlib-users Info Page
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
________________________________________________________
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