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r2 = jupyter('ir')
[removed]
%r2 plot(rnorm(100))
%r2 plot(rnorm(100)) plot(rnorm(100)) jpeg(width=300) plot(rnorm(100)) pdf() plot(rnorm(100)) plot(rnorm(100)) cairo_pdf(onefile=FALSE) plot(rnorm(100)) plot(rnorm(100)) svg(filename="Custom.svg") plot(rnorm(100))
jupyter?
File: /projects/sage/sage-7.3/local/lib/python2.7/site-packages/smc_sagews/sage_jupyter.py Signature : jupyter(**kwds) Docstring : Use the jupyter command to use any Jupyter kernel that you have installed using from your SageMathCloud worksheet py3 = jupyter("python3") After that, begin a sagews cell with %py3 to send statements to the Python3 kernel that you just created: %py3 print(42) You can even draw graphics. %py3 import numpy as np; import pylab as plt x = np.linspace(0, 3*np.pi, 500) plt.plot(x, np.sin(x**2)) plt.show() You can set the default mode for all cells in the worksheet. After putting the following in a cell, click the "restart" button, and you have an anaconda worksheet. %auto anaconda3 = jupyter('anaconda3') %default_mode anaconda3 Each call to jupyter creates its own Jupyter kernel. So you can have more than one instance of the same kernel type in the same worksheet session. p1 = jupyter('python3') p2 = jupyter('python3') p1('a = 5') p2('a = 10') p1('print(a)') # prints 5 p2('print(a)') # prints 10 For details on supported features and known issues, see the SMC Wiki page: https://github.com/sagemathinc/smc/wiki/sagejupyter Available kernels: sagemath /projects/sage/sage-7.3/local/share/jupyter/kernels/sagemath anaconda3 /usr/local/share/jupyter/kernels/anaconda3 bash /usr/local/share/jupyter/kernels/bash ir /usr/local/share/jupyter/kernels/ir julia /usr/local/share/jupyter/kernels/julia octave /usr/local/share/jupyter/kernels/octave python2 /usr/local/share/jupyter/kernels/python2 python2-ubuntu /usr/local/share/jupyter/kernels/python2-ubuntu python3 /usr/local/share/jupyter/kernels/python3 sage-develop /usr/local/share/jupyter/kernels/sage-develop spark-anaconda /usr/local/share/jupyter/kernels/spark-anaconda spark-sagemath /usr/local/share/jupyter/kernels/spark-sagemath