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from ipypublish.scripts.ipynb_latex_setup import *

Markdown

General

Some markdown text.

A list:

something
something else

A numbered list

something
something else

This is a long section of text, which we only want in a document (not a presentation) some text some more text some more text some more text some more text some more text some more text some more text some more text

This is an abbreviated section of the document text, which we only want in a presentation

summary of document text

References and Citations

References to \cref{fig:example}, \cref{tbl:example}, \cref{eqn:example_sympy} and \cref{code:example_mpl}.

Referencing multiple items: \cref{fig:example,fig:example_h,fig:example_v}.

A latex citation.\cite{zelenyak_molecular_2016}

A html citation.(Kirkeminde, 2012)

Todo notes

\todo[inline]{an inline todo}

Some text.\todo{a todo in the margins}

Text Output



In [3]:

    
print("""
This is some printed text,
with a nicely formatted output.
""")









    



This is some printed text,
with a nicely formatted output.

Images and Figures



In [3]:

    
Image('../images/example.jpg',height=400)









    Out[3]:



In [4]:

    
images_hconcat(['../images/example.jpg',
               '../images/example.jpg'],
               width=600, gap=10)









    Out[4]:



In [5]:

    
images_vconcat(['../images/example.jpg',
               '../images/example.jpg'],
               height=400, gap=10)









    Out[5]:



In [6]:

    
images_gridconcat([[_,_] for _ in ['../images/example.jpg',
               '../images/example.jpg']],
               height=300, vgap=10,hgap=20)









    Out[6]:

Displaying a plot with its code

A matplotlib figure, with the caption set in the markdowncell above the figure.

The plotting code for a matplotlib figure (\cref{fig:example_mpl}).



In [9]:

    
plt.scatter(np.random.rand(10), np.random.rand(10), 
            label='data label')
plt.ylabel(r'a y label with latex $\alpha$')
plt.legend();

Tables (with pandas)

The plotting code for a pandas Dataframe table (\cref{tbl:example}).



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df = pd.DataFrame(np.random.rand(3,4),columns=['a','b','c','d'])
df.a = ['$\delta$','x','y']
df.b = ['l','m','n']
df.set_index(['a','b'])
df.round(3)

Equations (with ipython or sympy)



In [9]:

    
Latex('$$ a = b+c $$')









    Out[9]:





$$ a = b+c $$

The plotting code for a sympy equation (\cref{eqn:example_sympy}).



In [10]:

    
f = sym.Function('f')
y,n = sym.symbols(r'y \alpha')
f = y(n)-2*y(n-1/sym.pi)-5*y(n-2)
sym.rsolve(f,y(n),[1,4])









    Out[10]:





$$\left(\sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} - \frac{2 i}{5} \sqrt{5}\right) + \left(- \sqrt{5} i\right)^{\alpha} \left(\frac{1}{2} + \frac{2 i}{5} \sqrt{5}\right)$$

Embed interactive HTML (like ipywidgets)

Interactive HTML was created using ipyvolume and will render below in .html type outputs:



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import numpy as np
import ipyvolume.pylab as p3
p3.figure()
p3.figure()
u = np.linspace(-10, 10, 25)
x, y = np.meshgrid(u, u)
r = np.sqrt(x**2+y**2).flatten()
x = x.flatten()
y = y.flatten()
time = np.linspace(0, np.pi*2, 15)
z = np.array([(np.cos(r + t) * np.exp(-r/5)) for t in time])
color = np.array([[np.cos(r + t), 1-np.abs(z[i]), 0.1+z[i]*0] for i, t in enumerate(time)])
color = np.transpose(color, (0, 2, 1))
s = p3.scatter(x, z, y, color=color, size=(z+1), marker="sphere")
p3.ylim(-3,3)
p3.show()
p3.save('../html/embed.html')

	a	b	c	d
0	$\delta$	l	0.583	0.279
1	x	m	0.914	0.021
2	y	n	0.333	0.116