It works thanx.

On Thu, Jun 12, 2014 at 4:45 PM, Nemanja Savic <[email protected]> wrote:

> Thanx, I will try. By the way hiw to implement this into set_ylabel
> function? is just "text$_..." enough?
>
>
> On Thu, Jun 12, 2014 at 2:40 PM, Mike Kaufman <[email protected]> wrote:
>
>> use matplotlib's internal latex parsing:
>>
>> text(0.2,0.4,"text$_{\mathrm{subscript}}$")
>>
>> M
>>
>> On 6/12/14, 6:26 AM, Nemanja Savic wrote:
>> > Hi all guys,
>> >
>> > I am not able to find answer on my question: how to write subscripts
>> > using default matplotlib font?
>> >
>> > best,
>> >
>> > --
>> > Nemanja Savić
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> > HPCC Systems Open Source Big Data Platform from LexisNexis Risk
>> Solutions
>> > Find What Matters Most in Your Big Data with HPCC Systems
>> > Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>> > Leverages Graph Analysis for Fast Processing & Easy Data Exploration
>> > http://p.sf.net/sfu/hpccsystems
>> >
>> >
>> >
>> > _______________________________________________
>> > Matplotlib-users mailing list
>> > [email protected]
>> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>> >
>>
>>
>>
>> ------------------------------------------------------------------------------
>> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
>> Find What Matters Most in Your Big Data with HPCC Systems
>> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
>> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
>> http://p.sf.net/sfu/hpccsystems
>> _______________________________________________
>> Matplotlib-users mailing list
>> [email protected]
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
> --
> Nemanja Savić
>



-- 
Nemanja Savić
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
_______________________________________________
Matplotlib-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to