Indeed, the example notebooks assume that certain setup was performed.
I guess it is a leftover from before I learned that it is an ipython
antipattern.

On 17 June 2013 22:49, Ondřej Čertík <[email protected]> wrote:
> Hi Stefan,
>
> This is awesome, thanks a lot! I tested your notebook, it works great.
> As far as the
>
> examples/beginner/plot_colors.ipynb
>
> goes, I had to add the following two lines into the first cell:
>
> from sympy import sin, var, cos, pi, sqrt
> var("x y")
>
> I guess it was assumed it would do this automatically somehow. But
> then things work excellent as well.
>
> Anyway, thanks, this will get me going.
>
> On Mon, Jun 17, 2013 at 1:57 PM, Stefan Krastanov
> <[email protected]> wrote:
>> And by the way, as you mentioned, the docs for the plotting module can
>> indeed be better.
>>
>> On 17 June 2013 21:56, Stefan Krastanov <[email protected]> wrote:
>>> I answer your question in the attached notebook. But you should really
>>> check the 4 or 5 `example/beginner/plot*` ipython notebooks as they
>>> show much nicer examples (and some nice fancy options).
>>>
>>> On 17 June 2013 21:13, Stefan Krastanov <[email protected]> wrote:
>>>> I will write a more complete answer soon, but in the meantime you can
>>>> check the `examples` folder. In the docs for the plotting module
>>>> search for "aesthetics".
>>>>
>>>> On 17 June 2013 21:00, Ondřej Čertík <[email protected]> wrote:
>>>>> On Mon, Jun 17, 2013 at 12:58 PM, Ondřej Čertík <[email protected]> 
>>>>> wrote:
>>>>>> Hi,
>>>>>>
>>>>>> Here is one of my notebooks (work in progress) for the sympy tutorial:
>>>>>>
>>>>>> http://nbviewer.ipython.org/5799312
>>>>>>
>>>>>> How can I set line colors in the plot at the prompt [8]? I didn't find
>>>>>> it in the docs:
>>>>>>
>>>>>> http://docs.sympy.org/dev/modules/plotting.html
>>>>>>
>>>>>> I assume I should save it to a variable "p" and then do something like
>>>>>>
>>>>>> p[0].line_color = "red"
>>>>>>
>>>>>> Except I didn't figure out the exact syntax yet.
>>>>>
>>>>> Also, is it possible to create a legend?
>>>>>
>>>>> I'll probably just use matplotlib for the more advanced plots, but I
>>>>> want to show the best we can do so far with plotting. Or maybe there
>>>>> is some way to call matplotlib commands on the plot? That might be the
>>>>> best solution.
>>>>>
>>>>> Ondrej
>>>>>
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