From ndbecker2 at gmail.com  Fri Oct  2 09:21:37 2020
From: ndbecker2 at gmail.com (Neal Becker)
Date: Fri, 2 Oct 2020 09:21:37 -0400
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
Message-ID: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>

I produced a line plot as:
ax.plot (x, y, '.')
and saved as pdf.

Both x and y were large vectors, resulting in a large pdf, and when
incorporated into a LaTeX document, the resulting pdf takes a long time to
open.

Other than my manually decimating the vectors:
ax.plot (x[::100], y[::100], '.')

Is there some way within mpl to simplify plots?  Or perhaps post-processing
the pdf?

Thanks,
Neal

-- 
*Those who don't understand recursion are doomed to repeat it*
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From fiolj at yahoo.com  Fri Oct  2 09:40:19 2020
From: fiolj at yahoo.com (fiolj)
Date: Fri, 2 Oct 2020 10:40:19 -0300
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
In-Reply-To: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
References: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
Message-ID: <8aeb637e-7cbb-5816-0a53-d071c5313826@yahoo.com>

I don't know if it is acceptable to you, but may be producing a png file
would be an option (latex would accept it).
Regards,
	Juan

El 10/2/20 a las 10:21 AM, Neal Becker escribi?:
> I produced a line plot as:
> ax.plot (x, y, '.')
> and saved as pdf.
> 
> Both x and y were large vectors, resulting in a large pdf, and when
> incorporated into a LaTeX document, the resulting pdf takes a long time
> to open.
> 
> Other than my manually decimating the vectors:
> ax.plot (x[::100], y[::100], '.')
> 
> Is there some way within mpl to simplify plots?? Or perhaps
> post-processing the pdf?
> 
> Thanks,
> Neal
> 
> -- 
> /Those who don't understand recursion are doomed to repeat it/
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 

From ndbecker2 at gmail.com  Fri Oct  2 09:51:18 2020
From: ndbecker2 at gmail.com (Neal Becker)
Date: Fri, 2 Oct 2020 09:51:18 -0400
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
In-Reply-To: <8aeb637e-7cbb-5816-0a53-d071c5313826@yahoo.com>
References: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
 <8aeb637e-7cbb-5816-0a53-d071c5313826@yahoo.com>
Message-ID: <CAG3t+pE2ZXNYJgjDgyWiGe6KLLuhXn6M7rsy1emC=Dw0XHc2-Q@mail.gmail.com>

Yes, I considered this.  But to produce publication quality documents I've
learned to avoid bitmap graphics.

On Fri, Oct 2, 2020 at 9:40 AM fiolj <fiolj at yahoo.com> wrote:

> I don't know if it is acceptable to you, but may be producing a png file
> would be an option (latex would accept it).
> Regards,
>         Juan
>
> El 10/2/20 a las 10:21 AM, Neal Becker escribi?:
> > I produced a line plot as:
> > ax.plot (x, y, '.')
> > and saved as pdf.
> >
> > Both x and y were large vectors, resulting in a large pdf, and when
> > incorporated into a LaTeX document, the resulting pdf takes a long time
> > to open.
> >
> > Other than my manually decimating the vectors:
> > ax.plot (x[::100], y[::100], '.')
> >
> > Is there some way within mpl to simplify plots?  Or perhaps
> > post-processing the pdf?
> >
> > Thanks,
> > Neal
> >
> > --
> > /Those who don't understand recursion are doomed to repeat it/
> >
> > _______________________________________________
> > Matplotlib-users mailing list
> > Matplotlib-users at python.org
> > https://mail.python.org/mailman/listinfo/matplotlib-users
> >
>


-- 
*Those who don't understand recursion are doomed to repeat it*
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From flyamer at gmail.com  Fri Oct  2 10:05:29 2020
From: flyamer at gmail.com (Ilya Flyamer)
Date: Fri, 2 Oct 2020 15:05:29 +0100
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
In-Reply-To: <CAG3t+pE2ZXNYJgjDgyWiGe6KLLuhXn6M7rsy1emC=Dw0XHc2-Q@mail.gmail.com>
References: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
 <8aeb637e-7cbb-5816-0a53-d071c5313826@yahoo.com>
 <CAG3t+pE2ZXNYJgjDgyWiGe6KLLuhXn6M7rsy1emC=Dw0XHc2-Q@mail.gmail.com>
Message-ID: <CAO-Bq3BvVMhfyduw3+apb0FyT=x46e-xFSHno-U2qjMLChTQJw@mail.gmail.com>

How about rasterizing just the plot? plt.plot(x, y, rasterized=True) should
work I think.

??, 2 ???. 2020 ?. ? 14:52, Neal Becker <ndbecker2 at gmail.com>:

> Yes, I considered this.  But to produce publication quality documents I've
> learned to avoid bitmap graphics.
>
> On Fri, Oct 2, 2020 at 9:40 AM fiolj <fiolj at yahoo.com> wrote:
>
>> I don't know if it is acceptable to you, but may be producing a png file
>> would be an option (latex would accept it).
>> Regards,
>>         Juan
>>
>> El 10/2/20 a las 10:21 AM, Neal Becker escribi?:
>> > I produced a line plot as:
>> > ax.plot (x, y, '.')
>> > and saved as pdf.
>> >
>> > Both x and y were large vectors, resulting in a large pdf, and when
>> > incorporated into a LaTeX document, the resulting pdf takes a long time
>> > to open.
>> >
>> > Other than my manually decimating the vectors:
>> > ax.plot (x[::100], y[::100], '.')
>> >
>> > Is there some way within mpl to simplify plots?  Or perhaps
>> > post-processing the pdf?
>> >
>> > Thanks,
>> > Neal
>> >
>> > --
>> > /Those who don't understand recursion are doomed to repeat it/
>> >
>> > _______________________________________________
>> > Matplotlib-users mailing list
>> > Matplotlib-users at python.org
>> > https://mail.python.org/mailman/listinfo/matplotlib-users
>> >
>>
>
>
> --
> *Those who don't understand recursion are doomed to repeat it*
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From pmhobson at gmail.com  Fri Oct  2 11:55:39 2020
From: pmhobson at gmail.com (Paul Hobson)
Date: Fri, 2 Oct 2020 08:55:39 -0700
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
In-Reply-To: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
References: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
Message-ID: <CADT3MECvoitqxPnYXbSzPmCr77TtBO_YqvpdzovU2GiyAxy+Uw@mail.gmail.com>

Neal,

Do you have line simplification turned on in your rcParams?
https://matplotlib.org/3.3.2/tutorials/introductory/usage.html#line-segment-simplification
-paul

On Fri, Oct 2, 2020 at 6:22 AM Neal Becker <ndbecker2 at gmail.com> wrote:

> I produced a line plot as:
> ax.plot (x, y, '.')
> and saved as pdf.
>
> Both x and y were large vectors, resulting in a large pdf, and when
> incorporated into a LaTeX document, the resulting pdf takes a long time to
> open.
>
> Other than my manually decimating the vectors:
> ax.plot (x[::100], y[::100], '.')
>
> Is there some way within mpl to simplify plots?  Or perhaps
> post-processing the pdf?
>
> Thanks,
> Neal
>
> --
> *Those who don't understand recursion are doomed to repeat it*
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>
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From ndbecker2 at gmail.com  Fri Oct  2 12:33:32 2020
From: ndbecker2 at gmail.com (Neal Becker)
Date: Fri, 2 Oct 2020 12:33:32 -0400
Subject: [Matplotlib-users] Simplifying plots (reducing data points)?
In-Reply-To: <CADT3MECvoitqxPnYXbSzPmCr77TtBO_YqvpdzovU2GiyAxy+Uw@mail.gmail.com>
References: <CAG3t+pEbi5+XQJW4AjYzH3ErmS_77jyszMecdqu0dNcSREcNVw@mail.gmail.com>
 <CADT3MECvoitqxPnYXbSzPmCr77TtBO_YqvpdzovU2GiyAxy+Uw@mail.gmail.com>
Message-ID: <CAG3t+pEktAgK5a8bta2UyZsGX48n=r8+i486NNhwau++j94O_w@mail.gmail.com>

I didn't change it from the default.  Guess I could try changing
'path.simplify_threshold'

On Fri, Oct 2, 2020 at 11:55 AM Paul Hobson <pmhobson at gmail.com> wrote:

> Neal,
>
> Do you have line simplification turned on in your rcParams?
>
> https://matplotlib.org/3.3.2/tutorials/introductory/usage.html#line-segment-simplification
> -paul
>
> On Fri, Oct 2, 2020 at 6:22 AM Neal Becker <ndbecker2 at gmail.com> wrote:
>
>> I produced a line plot as:
>> ax.plot (x, y, '.')
>> and saved as pdf.
>>
>> Both x and y were large vectors, resulting in a large pdf, and when
>> incorporated into a LaTeX document, the resulting pdf takes a long time to
>> open.
>>
>> Other than my manually decimating the vectors:
>> ax.plot (x[::100], y[::100], '.')
>>
>> Is there some way within mpl to simplify plots?  Or perhaps
>> post-processing the pdf?
>>
>> Thanks,
>> Neal
>>
>> --
>> *Those who don't understand recursion are doomed to repeat it*
>> _______________________________________________
>> Matplotlib-users mailing list
>> Matplotlib-users at python.org
>> https://mail.python.org/mailman/listinfo/matplotlib-users
>>
>

-- 
*Those who don't understand recursion are doomed to repeat it*
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From fiolj at yahoo.com  Mon Oct  5 09:00:04 2020
From: fiolj at yahoo.com (fiolj)
Date: Mon, 5 Oct 2020 10:00:04 -0300
Subject: [Matplotlib-users] large pdf files
References: <0886ed29-48a2-be2f-78a1-2bbab870d0ab.ref@yahoo.com>
Message-ID: <0886ed29-48a2-be2f-78a1-2bbab870d0ab@yahoo.com>

Hi, checking on sizes of pdf files I noticed that in my system currently
pdf output are at least 370k when similar plots previously were about 20k.

I tested with an old figure (I do not matplotlib version but was created
about May 2019) and the figure was 15409 bytes while the same figure
with matplotlib version 3.2.2 has a size of 429110 bytes.
I checked and this happens even plotting a few (ten) points with line,
everything using default values.

My user configuration file has not been modified but my system may have
changed.

I've found similar reports but regarding much older versions.

Any ideas?
	Regards, Juan
	


From t.appel17 at imperial.ac.uk  Mon Oct  5 13:30:06 2020
From: t.appel17 at imperial.ac.uk (Appel, Thibaut)
Date: Mon, 5 Oct 2020 17:30:06 +0000
Subject: [Matplotlib-users] large pdf files
In-Reply-To: <8AA64D6D-F191-4D1D-8019-CAA048D73FD0@imperial.ac.uk>
References: <mailman.25.1601913603.1934.matplotlib-users@python.org>,
 <8AA64D6D-F191-4D1D-8019-CAA048D73FD0@imperial.ac.uk>
Message-ID: <825CC60E-A86B-4CA8-B52D-751439A03159@imperial.ac.uk>

If the output size of .pdf is your concern, I suggest you export your figure with matplotlib in .eps, and then use the command line tool ? epstopdf ? shipped with any LaTeX distribution.

The .pdf backend of matplotlib is far from being optimized.

I always observe a factor of size decrease between 10 and 100 (!) in the output .pdf after running epstopdf, instead of saving directly in pdf.

Thibaut
 
> From: fiolj <fiolj at yahoo.com>
> To: matplotlib-users <matplotlib-users at python.org>
> Subject: [Matplotlib-users] large pdf files
> Message-ID: <0886ed29-48a2-be2f-78a1-2bbab870d0ab at yahoo.com>
> Content-Type: text/plain; charset=windows-1252
> 
> Hi, checking on sizes of pdf files I noticed that in my system currently
> pdf output are at least 370k when similar plots previously were about 20k.
> 
> I tested with an old figure (I do not matplotlib version but was created
> about May 2019) and the figure was 15409 bytes while the same figure
> with matplotlib version 3.2.2 has a size of 429110 bytes.
> I checked and this happens even plotting a few (ten) points with line,
> everything using default values.
> 
> My user configuration file has not been modified but my system may have
> changed.
> 
> I've found similar reports but regarding much older versions.
> 
> Any ideas?
>   Regards, Juan

From t.appel17 at imperial.ac.uk  Mon Oct  5 13:22:51 2020
From: t.appel17 at imperial.ac.uk (Appel, Thibaut)
Date: Mon, 5 Oct 2020 17:22:51 +0000
Subject: [Matplotlib-users] Matplotlib-users Digest, Vol 63, Issue 4
In-Reply-To: <mailman.25.1601913603.1934.matplotlib-users@python.org>
References: <mailman.25.1601913603.1934.matplotlib-users@python.org>
Message-ID: <8AA64D6D-F191-4D1D-8019-CAA048D73FD0@imperial.ac.uk>

If the output size of .pdf is your concern, I suggest you export your figure with matplotlib in .eps, and then use the command line tool ? epstopdf ? shipped with any LaTeX distribution.

The .pdf backend of matplotlib is far from being optimized.

I always observe a factor of size decrease between 10 and 100 (!) in the output .pdf after running epstopdf, instead of saving directly in .pdf.

Thibaut

> On 5 Oct 2020, at 18:00, matplotlib-users-request at python.org wrote:
> 
> ?
> *******************
> This email originates from outside Imperial. Do not click on links and attachments unless you recognise the sender. 
> If you trust the sender, add them to your safe senders list https://spam.ic.ac.uk/SpamConsole/Senders.aspx to disable email stamping for this address.
> *******************
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> 
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> or, via email, send a message with subject or body 'help' to
>    matplotlib-users-request at python.org
> 
> You can reach the person managing the list at
>    matplotlib-users-owner at python.org
> 
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Matplotlib-users digest..."
> 
> 
> Today's Topics:
> 
>   1. large pdf files (fiolj)
> 
> 
> ----------------------------------------------------------------------
> 
> Message: 1
> Date: Mon, 5 Oct 2020 10:00:04 -0300
> From: fiolj <fiolj at yahoo.com>
> To: matplotlib-users <matplotlib-users at python.org>
> Subject: [Matplotlib-users] large pdf files
> Message-ID: <0886ed29-48a2-be2f-78a1-2bbab870d0ab at yahoo.com>
> Content-Type: text/plain; charset=windows-1252
> 
> Hi, checking on sizes of pdf files I noticed that in my system currently
> pdf output are at least 370k when similar plots previously were about 20k.
> 
> I tested with an old figure (I do not matplotlib version but was created
> about May 2019) and the figure was 15409 bytes while the same figure
> with matplotlib version 3.2.2 has a size of 429110 bytes.
> I checked and this happens even plotting a few (ten) points with line,
> everything using default values.
> 
> My user configuration file has not been modified but my system may have
> changed.
> 
> I've found similar reports but regarding much older versions.
> 
> Any ideas?
>    Regards, Juan
>    
> 
> 
> 
> ------------------------------
> 
> Subject: Digest Footer
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
> 
> 
> ------------------------------
> 
> End of Matplotlib-users Digest, Vol 63, Issue 4
> ***********************************************

From fiolj at yahoo.com  Tue Oct  6 09:03:40 2020
From: fiolj at yahoo.com (fiolj)
Date: Tue, 6 Oct 2020 10:03:40 -0300
Subject: [Matplotlib-users] large pdf files
In-Reply-To: <825CC60E-A86B-4CA8-B52D-751439A03159@imperial.ac.uk>
References: <mailman.25.1601913603.1934.matplotlib-users@python.org>
 <8AA64D6D-F191-4D1D-8019-CAA048D73FD0@imperial.ac.uk>
 <825CC60E-A86B-4CA8-B52D-751439A03159@imperial.ac.uk>
Message-ID: <233bb3ce-e452-0998-6243-eb5378715557@yahoo.com>

Thanks Thibaut, using eps or other format is a good solution but I was
wondering about the change on file size. Usually, at least in my
experience in linux is that pdf export from matplotlib is very
efficient. In particular, very simple files were exported to small
files. I do not know what (if anything) changed from a few versions back
to the current version in my system (3.2.2) that the minimum file size I
can get now is about 370k.
Regards,
	Juan

El 10/5/20 a las 2:30 PM, Appel, Thibaut escribi?:
> If the output size of .pdf is your concern, I suggest you export your figure with matplotlib in .eps, and then use the command line tool ? epstopdf ? shipped with any LaTeX distribution.
> 
> The .pdf backend of matplotlib is far from being optimized.
> 
> I always observe a factor of size decrease between 10 and 100 (!) in the output .pdf after running epstopdf, instead of saving directly in pdf.
> 
> Thibaut
>  
>> From: fiolj <fiolj at yahoo.com>
>> To: matplotlib-users <matplotlib-users at python.org>
>> Subject: [Matplotlib-users] large pdf files
>> Message-ID: <0886ed29-48a2-be2f-78a1-2bbab870d0ab at yahoo.com>
>> Content-Type: text/plain; charset=windows-1252
>>
>> Hi, checking on sizes of pdf files I noticed that in my system currently
>> pdf output are at least 370k when similar plots previously were about 20k.
>>
>> I tested with an old figure (I do not matplotlib version but was created
>> about May 2019) and the figure was 15409 bytes while the same figure
>> with matplotlib version 3.2.2 has a size of 429110 bytes.
>> I checked and this happens even plotting a few (ten) points with line,
>> everything using default values.
>>
>> My user configuration file has not been modified but my system may have
>> changed.
>>
>> I've found similar reports but regarding much older versions.
>>
>> Any ideas?
>>   Regards, Juan

From ndbecker2 at gmail.com  Thu Oct 15 08:08:29 2020
From: ndbecker2 at gmail.com (Neal Becker)
Date: Thu, 15 Oct 2020 08:08:29 -0400
Subject: [Matplotlib-users] controlling ticks
Message-ID: <CAG3t+pGB3utheDeNKePNd8xwu6hH5E_gRO=7uzivZ=fGwhfu-w@mail.gmail.com>

I am plotting with semilogy.  I am getting the tick labels as powers of
10, which is what I want.  However, because the range of data is large, the
tick
labels are every 2 powers of 10, [10^-1, 10^-3 ...]

What's the easiest way to change so that the tick labels are for each
integer power of 10, [10^-1, 10^-2 ...]?

-- 
*Those who don't understand recursion are doomed to repeat it*
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From tcaswell at gmail.com  Thu Oct 15 13:58:25 2020
From: tcaswell at gmail.com (Thomas Caswell)
Date: Thu, 15 Oct 2020 13:58:25 -0400
Subject: [Matplotlib-users] controlling ticks
In-Reply-To: <CAG3t+pGB3utheDeNKePNd8xwu6hH5E_gRO=7uzivZ=fGwhfu-w@mail.gmail.com>
References: <CAG3t+pGB3utheDeNKePNd8xwu6hH5E_gRO=7uzivZ=fGwhfu-w@mail.gmail.com>
Message-ID: <CAA48SF-XeGwwBAbqv5Vs-geLNdn6FdWGDU2e--ZRbJkFUJLtuQ@mail.gmail.com>

Lifted from a comment Bruno Beltran made on gitter:
https://gitter.im/matplotlib/matplotlib?at=5f888b74631a250ab26f179b

```python
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.ticker

t = np.logspace(0, 4, 10)
fig = plt.figure()
ax = fig.add_subplot()
ax.loglog(t, t**3)

enough_ticks = matplotlib.ticker.LogLocator(numticks=15)
ax.yaxis.set_major_locator(enough_ticks)
```

works, but you have to know how many ticks you want up front.

There are enough knobs on both LogFormatter and LogLocator that this seems
like something that should be configurable, but I don't know how off the
top of my head (and a very quick look at the source did not have an obvious
path).

Tom

On Thu, Oct 15, 2020 at 8:09 AM Neal Becker <ndbecker2 at gmail.com> wrote:

> I am plotting with semilogy.  I am getting the tick labels as powers of
> 10, which is what I want.  However, because the range of data is large,
> the tick
> labels are every 2 powers of 10, [10^-1, 10^-3 ...]
>
> What's the easiest way to change so that the tick labels are for each
> integer power of 10, [10^-1, 10^-2 ...]?
>
> --
> *Those who don't understand recursion are doomed to repeat it*
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users
>


-- 
Thomas Caswell
tcaswell at gmail.com
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From mathoscope at netcourrier.com  Tue Oct 20 16:38:52 2020
From: mathoscope at netcourrier.com (Vincent Douce Mathoscope)
Date: Tue, 20 Oct 2020 22:38:52 +0200
Subject: [Matplotlib-users] rotated axis
Message-ID: <F043C6CF-9B90-411A-8D75-87F9573E543E@netcourrier.com>

hi i would like to create some graphics with the y-axis inclinated in any angle with the xaxis, for example 45?, 55? as i need it
i dont find here :
http://python-simple.com/python-matplotlib/configuration-axes.php <http://python-simple.com/python-matplotlib/configuration-axes.php>
https://matplotlib.org/3.1.1/api/axes_api.html <https://matplotlib.org/3.1.1/api/axes_api.html>
anything in this direction
any tipps ?
Vincent

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From mathoscope at netcourrier.com  Wed Oct 21 02:38:39 2020
From: mathoscope at netcourrier.com (Vincent Douce Mathoscope)
Date: Wed, 21 Oct 2020 08:38:39 +0200
Subject: [Matplotlib-users] Fwd:  rotated axis
References: <4F3D37D4-57F5-4FCA-A7D5-ADA3D62ACD6E@netcourrier.com>
Message-ID: <FBD63D72-7FDB-4118-A314-EBB8065A8132@netcourrier.com>


thanks Bruno for your answer
not exactly
in your example, only the grid in inclinated
in my need, also th axis would be inclinated
something like this where B is (0,1) and C is (1,0) and A is (0,0)

Vincent

> Le 21 oct. 2020 ? 02:46, Bruno Beltran <brunobeltran0 at gmail.com <mailto:brunobeltran0 at gmail.com>> a ?crit :
> 
> Hi Vincent,
> 
> Is this the kind of thing you are looking for?
> 
> https://matplotlib.org/gallery/api/skewt.html <https://matplotlib.org/gallery/api/skewt.html>
> 
> Best,
> 
> Bruno
> 
> On Tue, Oct 20, 2020 at 2:15 PM Vincent Douce Mathoscope <mathoscope at netcourrier.com <mailto:mathoscope at netcourrier.com>> wrote:
> hi i would like to create some graphics with the y-axis inclinated in any angle with the xaxis, for example 45?, 55? as i need it
> i dont find here :
> http://python-simple.com/python-matplotlib/configuration-axes.php <http://python-simple.com/python-matplotlib/configuration-axes.php>
> https://matplotlib.org/3.1.1/api/axes_api.html <https://matplotlib.org/3.1.1/api/axes_api.html>
> anything in this direction
> any tipps ?
> Vincent
> 
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org <mailto:Matplotlib-users at python.org>
> https://mail.python.org/mailman/listinfo/matplotlib-users <https://mail.python.org/mailman/listinfo/matplotlib-users>

----
https://lemathoscope.com/ <https://lemathoscope.com/>
cours de maths postbac par visio


----
https://lemathoscope.com/
cours de maths postbac par visio

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From projetmbc at gmail.com  Wed Oct 21 08:10:48 2020
From: projetmbc at gmail.com (Christophe BAL)
Date: Wed, 21 Oct 2020 14:10:48 +0200
Subject: [Matplotlib-users] Fwd: rotated axis
In-Reply-To: <FBD63D72-7FDB-4118-A314-EBB8065A8132@netcourrier.com>
References: <4F3D37D4-57F5-4FCA-A7D5-ADA3D62ACD6E@netcourrier.com>
 <FBD63D72-7FDB-4118-A314-EBB8065A8132@netcourrier.com>
Message-ID: <0627d2e4-50c2-f4d2-9dc7-ca3231707ce2@gmail.com>

Hello.

What your are looking for is an affine coordinate system.

I don't think that matplotlib can do that directly as it is the case for 
Geogebra.

You should try to do every thing by hand. This will be boring but not hard.


Le 21/10/2020 ? 08:38, Vincent Douce Mathoscope a ?crit?:
>
> thanks Bruno for your answer
> not exactly
> in your example, only the grid in inclinated
> in my need, also th axis would be inclinated
> something like this where B is (0,1) and C is (1,0) and A is (0,0)
> Vincent
>
>> Le 21 oct. 2020 ? 02:46, Bruno Beltran <brunobeltran0 at gmail.com 
>> <mailto:brunobeltran0 at gmail.com>> a ?crit :
>>
>> Hi Vincent,
>>
>> Is this the kind of thing you are looking for?
>>
>> https://matplotlib.org/gallery/api/skewt.html
>>
>> Best,
>>
>> Bruno
>>
>> On Tue, Oct 20, 2020 at 2:15 PM Vincent Douce Mathoscope 
>> <mathoscope at netcourrier.com <mailto:mathoscope at netcourrier.com>> wrote:
>>
>>     hi i would like to create some graphics with the y-axis
>>     inclinated in any angle with the xaxis, for example 45?, 55? as i
>>     need it
>>     i dont find here :
>>     http://python-simple.com/python-matplotlib/configuration-axes.php
>>     https://matplotlib.org/3.1.1/api/axes_api.html
>>     anything in this direction
>>     any tipps ?
>>     Vincent
>>
>>     _______________________________________________
>>     Matplotlib-users mailing list
>>     Matplotlib-users at python.org <mailto:Matplotlib-users at python.org>
>>     https://mail.python.org/mailman/listinfo/matplotlib-users
>>
>
> ----
> https://lemathoscope.com/
> cours de maths postbac par visio
>
>
> ----
> https://lemathoscope.com/
> cours de maths postbac par visio
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users at python.org
> https://mail.python.org/mailman/listinfo/matplotlib-users

-- 
Math, algo et codage.
Sans oublier la famille, l'amour et le sport. ;-)

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