[Matplotlib-users] Simplifying plots (reducing data points)?

Ilya Flyamer flyamer at gmail.com
Fri Oct 2 10:05:29 EDT 2020


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

пт, 2 окт. 2020 г. в 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 escribió:
>> > 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
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-users/attachments/20201002/f0f51774/attachment-0001.html>


More information about the Matplotlib-users mailing list