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Removed "profiles"... Templates that are shipped with nbconvert by default should...
Removed "profiles"... Templates that are shipped with nbconvert by default should have settings built into exporter.py class. If the user wants to add a new template and use profile setting with it, the "profile" (config file) should be specified via the commandline when calling the exporter.
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test_display.ipynb
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In [3]:
from IPython.core.displaypub import publish_display_data
%load_ext rmagic

publish_display_data('Assignment1', {'text/html':'<h2>Question 1</h2>'})

Question 1

In [4]:
%%R 
X = rnorm(40)
Y = rnorm(40)
plot(X,Y, pch=24, bg='red', cex=2)
No description has been provided for this image
In [5]:
publish_display_data('Assignment1',{'text/latex':r'''What is the correlation, $\rho$?  We could also have plotted with matplotlib...'''})
What is the correlation, $\rho$? We could also have plotted with matplotlib...
In [6]:
import pylab
%Rpull X Y
pylab.scatter(X, Y, c='r')
pylab.gca().set_xlabel('X')
pylab.gca().set_ylabel('Y')
Out[6]:
<matplotlib.text.Text at 0xba0dfd0>
In [7]:
publish_display_data('Assignment1',{'text/html':r'''We might include some other html stuff, too. 

<iframe width="560" height="315" src="http://www.youtube.com/embed/sf49cw0134U" 
frameborder="0" allowfullscreen></iframe>'''})
We might include some other html stuff, too.
In [8]:
publish_display_data('Assignment1',{'text/html':'<h2>Answer</h2>'})

Answer

In [9]:
publish_display_data('Assignment', {'text/html': '''<input type="radio" name="group1" value="Milk"> Milk<br>
<input type="radio" name="group1" value="Butter" checked> Butter<br>'''})
Milk
Butter

Magics

In [10]:
run magics/homework.py
In [11]:
%%MultipleChoiceSetup 1

X = rnorm(200)
Y = rnorm(200)
plot(X,Y)

Question 1

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In [12]:
%%MultipleChoiceQuestion 1

question_text = 'Is the correlation:'
choices = ['positive', 'negative', 'zero']
Is the correlation:
zero
negative
positive
In [23]:
%%MultipleChoiceSetup 2

X = rnorm(20)
Y = rnorm(20) + Y
print(summary(lm(Y~X)))

true_corr = cor(X,Y)

Question 2

Call:
lm(formula = Y ~ X)

Residuals:
    Min      1Q  Median      3Q     Max 
-1.9189 -0.9845 -0.5326  1.1005  2.5939 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)   0.3573     0.3301   1.082    0.293
X             0.5617     0.4137   1.358    0.191

Residual standard error: 1.445 on 18 degrees of freedom
Multiple R-squared: 0.09288,	Adjusted R-squared: 0.04248 
F-statistic: 1.843 on 1 and 18 DF,  p-value: 0.1914
In [24]:
true_corr = %R cor(X,Y)
In [27]:
%%MultipleChoiceQuestion 2

question_text = r'Up to 1 significant digit, what is the correlation between $X$ and $Y$?'

while True:
    choices = ['%0.1f' % c for c in list(np.random.random(size=(3,))*2-1) + [true_corr]]
    if len(set(choices)) == 4 :
        break
Up to 1 significant digit, what is the correlation between $X$ and $Y$?
0.1
-0.8
0.3
-0.2
In [14]: