mirror of
https://github.com/vale981/emacs-ipython-notebook
synced 2025-03-06 09:31:39 -05:00
50b9a8d134
Greg Sexton clearly knows his way around org better than I. For async execution make sure we insert results "the org way."
133 lines
4.1 KiB
Org Mode
133 lines
4.1 KiB
Org Mode
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* Tests
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This is a [[ipynb:(:url-or-port%20"http://localhost:8888"%20:name%20"emacs-ipython-notebook/The%20Emacs%20IPython%20Notebook.ipynb")][link]] to an ein notebook. It might not work if your setup is not the same as mine!
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Note that code is executed asynchronously, so executing the following won't
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block Emacs. You can even queue up a number of source code blocks and they will
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execute sequentially as the previous finishes execution!
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#+NAME: 6d0ec9b7-249c-46e9-bdf1-c48b7bcf7fbd
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb
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import sys
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import time
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time.sleep(10)
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print("Hello dood!")
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#+END_SRC
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#+RESULTS: 6d0ec9b7-249c-46e9-bdf1-c48b7bcf7fbd
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: Hello dood!
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#+NAME: 744c7889-aec1-495f-9d07-6efc17329e94
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb
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1+4
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#+END_SRC
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#+RESULTS: 744c7889-aec1-495f-9d07-6efc17329e94
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: 5
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Tracebacks will be printed out, but if you want to use ein's traceback and
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debugging support you have to jump to the ~*ein:shared-output*~ buffer for
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traceback support or the notebook running the session and execute ~%debug~ in a
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cell there.
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#+NAME: 47c36fa5-1b53-413b-8f5b-814f1ae66a3b
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb :results output drawer
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1/0
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#+END_SRC
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#+RESULTS: 47c36fa5-1b53-413b-8f5b-814f1ae66a3b
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:results:
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ZeroDivisionErrorTraceback (most recent call last)
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<ipython-input-23-9e1622b385b6> in <module>
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----> 1 1/0
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ZeroDivisionError: division by zero
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:end:
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#+NAME: 00052904-6ca5-46e0-9797-c6039d0daf5e
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb :results output drawer
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import matplotlib.pyplot as plt
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import numpy as np
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%matplotlib inline
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x = np.linspace(0, 1, 100)
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y = np.random.rand(100,1)
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plt.plot(x,y)
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x
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#+END_SRC
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#+RESULTS: 00052904-6ca5-46e0-9797-c6039d0daf5e
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:results:
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array([0. , 0.01010101, 0.02020202, 0.03030303, 0.04040404,
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0.05050505, 0.06060606, 0.07070707, 0.08080808, 0.09090909,
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0.1010101 , 0.11111111, 0.12121212, 0.13131313, 0.14141414,
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0.15151515, 0.16161616, 0.17171717, 0.18181818, 0.19191919,
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0.2020202 , 0.21212121, 0.22222222, 0.23232323, 0.24242424,
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0.25252525, 0.26262626, 0.27272727, 0.28282828, 0.29292929,
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0.3030303 , 0.31313131, 0.32323232, 0.33333333, 0.34343434,
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0.35353535, 0.36363636, 0.37373737, 0.38383838, 0.39393939,
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0.4040404 , 0.41414141, 0.42424242, 0.43434343, 0.44444444,
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0.45454545, 0.46464646, 0.47474747, 0.48484848, 0.49494949,
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0.50505051, 0.51515152, 0.52525253, 0.53535354, 0.54545455,
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0.55555556, 0.56565657, 0.57575758, 0.58585859, 0.5959596 ,
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0.60606061, 0.61616162, 0.62626263, 0.63636364, 0.64646465,
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0.65656566, 0.66666667, 0.67676768, 0.68686869, 0.6969697 ,
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0.70707071, 0.71717172, 0.72727273, 0.73737374, 0.74747475,
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0.75757576, 0.76767677, 0.77777778, 0.78787879, 0.7979798 ,
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0.80808081, 0.81818182, 0.82828283, 0.83838384, 0.84848485,
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0.85858586, 0.86868687, 0.87878788, 0.88888889, 0.8989899 ,
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0.90909091, 0.91919192, 0.92929293, 0.93939394, 0.94949495,
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0.95959596, 0.96969697, 0.97979798, 0.98989899, 1. ])
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[[file:ein-images/ob-ein-958ea9b193e7657e6b8b77069728be7a.png]]
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:end:
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#+NAME: 84b146f2-0b8d-46ca-9fb9-96759657927c
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb :results output
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from sympy import *
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init_printing()
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x = symbols('x')
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x
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#+END_SRC
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#+RESULTS: 84b146f2-0b8d-46ca-9fb9-96759657927c
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#+begin_example
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ModuleNotFoundErrorTraceback (most recent call last)
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<ipython-input-21-a0c2aa571a36> in <module>
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----> 1 from sympy import *
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2
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3 init_printing()
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4 x = symbols('x')
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5 x
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ModuleNotFoundError: No module named 'sympy'
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#+end_example
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* SVG Images
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* Issue #468: Results in org mode
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#+NAME: ffbf0b19-515a-4966-9220-70063cf2948d
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#+BEGIN_SRC ein :session http://localhost:8888/The Emacs IPython Notebook.ipynb :results value
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import numpy as np
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np.zeros(18)
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#+END_SRC
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#+RESULTS: ffbf0b19-515a-4966-9220-70063cf2948d
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: array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
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: 0.])
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