Euler supports Python as a scripting language. You need to install Python 2.7 for this. Other versions won't work, since Python wants to be linked against a specific version. The purpose of this interface is to
See the last section for internals on the Python interface. For a documentation about Python, see the
Direct commands for Python start with ">>> " at the beginning of the command line (alternatively with ">py: ").
>>> print 'Hello World!'
Depending on your settings, you are asked if you want to allow the command.
For a multi-line command, we can use a multi-line in Euler.
>py: s=42 ... print s, "is the answer"
42 is the answer
Note that ">>" must not appear in the second line, and the second line must not be indented, unless Python needs an indentation.
It is more convenient to use a function body in Euler. Then you can use the internal Euler editor to edit the command. Press F9 in the first line to start this editor. Or simply click into the body and edit the commands in the same way as you can edit an Euler function.
>function python ... s=0 for i in range(1,101): s+=i print s endfunction
This is not a function, but rather a collection of commands for Python. It runs as soon as you exit the collection.
You can continue a line in Python by ending it with \. Then you can also indent.
>function python ... x=2.5 print 1+x+x**2/2+x**3/6+\ x**4/24 endfunction
Note the "**" for the power operator! Let us check the result.
Python can also be called with the function python(). This function accepts a string or a vector of strings. It returns a string.
The command can be used in Euler functions.
>function ptest(n) := python("print 7**"+n); ... ptest(40)
The python() function accepts a vector of strings. The strings will become command lines for Python.
>python(["v=range(1,101)","print 'sum =',sum(v)"])
sum = 5050
Python cannot be interrupted. If you program an eternal loop, you need to close Euler. But you can allow the user to interrupt the program with the eumat.testkey() function. The module eumat is imported automatically.
The function eumat.dump() prints to the notebook immediately, while the print() function of Python prints at the end of the execution.
>function python ... eumat.dump("Press any key to stop the loop!") while True: if eumat.testkey(): break; endfunction
Press any key to stop the loop!
The easiest way to define a Python function is the following.
>function python f(x) ... return x**3-x endfunction
Again, remember that Python uses ** for the exponent. x^3 does not work!
You can call this function in Python, of course.
>>> print f(0.7)
The function can also be called in EMT just like an Euler function. It is essentially a function in Python, which is known in EMT, and can be used directly.
One alternative is to use pycall(). This method can be used to call any function of Python and get the result back in EMT.
There is a shortcut for this.
Of course, a Python function can also be defined in a collection of Python commands in the following way.
>function python ... def fib(n): a,b=1,1 for i in range(3,n+1): a,b=b,a+b return b endfunction
The function fib() defined in these commands is an iteration, which computes the n-th Fibonacci number.
Inside Python, the function will return the result in the long integer type of Python.
>py: print fib(200)
For Euler, this is converted to a real number.
You could transfer the number to Maxima, however, via an Euler string. Remember that the python() command returns the output of Python as a string.
>python("print fib(200)"); a &= %
Here is a function, which returns all Fibonacci numbers up to the n-th number in a vector.
>function python fib (n) ... ## Compute n Fibonacci numbers if n<=1: return  v=range(0,n) v=1.0 v=1.0 for i in range(2,n): v[i]=v[i-1]+v[i-2] return v endfunction
Note that Python functions defined in this way can have a help line. Thus the status line and F1 will work.
fib is a Python function. function fib (n) Entered from command line. Python function. Compute n Fibonacci numbers
[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]
We can use the result like any other vector in Euler.
>n=100; k=1:n; plot2d(k,fib(n)^(1/k),>points):
You can define your own modules in separate files, and import them in Python.
>py: ... import mymod ... print mymod.fac(10)
Note that Python will compile the module, generating "mymod.pyc". Moreover, you need to be aware that Python will not reload an updated module.
To call the function directly, there is a special syntax py$... which contains the name of the module.
This can also be used for Python modules like cmath.
>python("import cmath"); py$cmath$exp(1+I)
To set a global variable in Python from a value in EMT, we use pyset().
This will yield in a vector of integers in Python, since all numbers in the vector can be converted to integers.
>>> print a
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
Conversely, you can get the values of Python variables for EMT.
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
The following Python code does the simple Euler method for a differential equation.
>function python dgleuler(f,y0,a,b,h) ... t,y = a,y0 while t < b: t += h y += h * f(t,y) return y endfunction
We need a function f(x,y).
>function python ftest(x,y) ... return -2*x*y endfunction
To handle the function f to the method dgleuler(), we use "py$ftest".
In numerical functions of EMT, the function ftest() can be used just as any other EMT function.
Python can also call Euler functions. The Python interface imports the module euler, so you can use it immediately. The method we need is euler.call.
For an example, we rewrite the example.
>function python dgleuler(f,y0,a,b,h) ... t,y = a,y0 while t < b: t += h y += h * eumat.call(f,t,y) return y endfunction
Now we define the function in Euler.
>function f1(t,y) := -2*t*y
We call the Euler function by name.
To test the speed of Python, we define the Fibonacci numbers in a very inefficient, recursive way. This is a famous example to measure function calls in a language.
>function python fibrekpy (n) ... if n<=2: return 1 return fibrekpy(n-1)+fibrekpy(n-2) endfunction
>tic; fibrekpy(25), toc;
75025 Used 0.016 seconds
In Euler, a similar function is considerably less speedy.
>function fibrekeu (n) ... if n<=2 then return 1.0 else return fibrekeu(n-1)+fibrekeu(n-2) endfunction
>tic; fibrekeu(25), toc;
75025 Used 0.187 seconds
We try the example of in the tutorial about compiled code.
>function python hofstadter (n) ... v=range(1,n+1) v=1 v=1 for i in range(2,n): k=v[i-1] v[i]=v[k-1]+v[i-k] return v endfunction
The result is typically up 10 times slower than comparable C code, but can be 10 times faster then Euler.
>tic; v=hofstadter(2^20); toc;
Used 0.173 seconds
The next example loads the English word list of Euler to determine words, which are forward and backward in the list. These words are called "semordnilap" words (palindromes backwards).
The code is from the Rosetta page again.
>function python semordnilap (file) ... with open(file) as f: wordset = set(f.read().strip().split()) revlist = (''.join(word[::-1]) for word in wordset) pairs = set((wrd, rev) for wrd, rev in zip(wordset, revlist) if wrd < rev and rev in wordset) w=list(pairs) v=range(len(w)) for i in range(len(w)): v[i]=w[i] return v endfunction
We call this function and pass the filename as an argument.
It returns a list of words, which is translated into a string vector. We print the first 5 words.
sprat per remit don decal
You can load Python files.
The following file contains code to solve a Hidako puzzle. I stole the code from
The load command will collect all output from the file, if it has any, and print the output. It is not designed for interactive programs.
__ 33 35 __ __ __ __ 24 22 __ __ __ __ 21 __ __ __ 26 __ 13 40 11 27 __ __ __ 9 __ 1 __ __ 18 __ __ __ 7 __ __ 5 __ 32 33 35 36 37 31 34 24 22 38 30 25 23 21 12 39 29 26 20 13 40 11 27 28 14 19 9 10 1 15 16 18 8 2 17 7 6 3 5 4
Python is a script language with an own heap of variables. It runs externally as a subsystem in Euler, but Euler can start programs and functions in Python and get the results. Values are translated from Euler to Python and from Python to Euler.
The interface is contained in python.dll, which is loaded on demand. This library is linked to python27.dll, which runs the Python system. This is a safe approach, and it can be extended to new versions of Python later.
A command is sent directly to Python. The output is collected in a Python string, which is printed to the notebook at the end of the command. Python commands cannot be called in an interactive way.
>>> print "This is printed after the command finishes."
This is printed after the command finishes.
Multi-line command and Python blocks behave in the same way. Since we sometimes what to print a string or a value immediately there is the function eumat.dump() in the module "eumat".
>function python ... eumat.dump("Press any key!") while True: if eumat.testkey(): break; endfunction
Press any key!
This function can print any data that EMT understands.
[0, 1, 2, 3, 4]
If functions are defined in Python they can be called in EMT with python("foo",..) or py$foo(...) as described above. For the process, parameters and results are translated between the systems.
Euler can transfer the following types:
If possible, double values are translated to integer values for Python.
>pyset("v",1:0.5:2); python("print type(v)")
Python vectors can contain a mix of integers and floats.
>py: print v
[1, 1.5, 2]
The eumat module is loaded at the start of the Python subsystem. It has the following functions
With call() many things are possible.
>function python plottest(n) ... import random; v=range(500); for i in range(500): v[i]=random.random()-0.5; for i in range(1,500): v[i]+=v[i-1] eumat.call("plot2d",v) eumat.call("insimg") endfunction
It is possible to use the wonderful plot library MatPlotLib from Euler. For this, MatPlotLib and NumPy must be installed for Python 2.7. Note that you need the 64-bit versions for the 64-bit version of EMT.
The following page contains some beginner tutorials to this library.
We need to import a few things in Python. We have to do this globally, since imports in functions are local.
>>> import matplotlib.pyplot as plt >>> import matplotlib.cm as cm
We write a function which does the plot. It does the following things.
- Call figure() to set the size of the plot, - do the background shading with imshow(), - generate the contour lines with contour(), - generate labels for the contour lines.
>function python pycontour (X,Y,Z,a,b,c,d) ... plt.figure(figsize=[8,8]) plt.imshow(Z,interpolation='bilinear',origin='lower', cmap=cm.gray,extent=(a,b,c,d)) CS = plt.contour(X,Y,Z) plt.clabel(CS,inline=1,fontsize=10) endfunction
I took the code from the following page.
Contour Demo with MatPlotLib
The arguments for plt.contour() include the X and Y vectors and a matrix of values Z=f(X,Y). In the demos, a numerical package for Python is used to generate these matrices. But we use EMT and pass the results to the Python function.
>x=-3:0.025:3; y=x; ... function qgauss(x,y,x0,y0,vx,vy) ...
## Two dimensional Gauß distribution return qnormal(x,x0,vx)*qnormal(y,y0,vy) endfunction
Now we compute the difference of two such distributions. And plot contour lines.
>Z1=qgauss(x,y',0,0,1,1); ... Z2=qgauss(x,y',1,1,1.5,0.5); ... Z=10*(Z2-Z1);
We can generate the plot and save it to a temporary file in the Euler working directory.
The function pyins() tells Python to generate an output file in PNG format and inserts this file into the notebook. The name of the output file is stored in the global variable pyout$$.
Its size depends on the parameter figsize= of figure(). The font is not scaled automatically. For EMT notebooks, [8,8] looks good. It generates an image of 800x800 pixels.
loadimg() can insert the file into the notebook. We reduce it to a height of about 10 lines of text.
Here is the corresponding plot with Euler. Euler cannot do these nice labels without effort.
Let us try a 3D example. We plot
We use the matrix language to generate the matrix Z.
>x=-4:0.25:4; y=x'; Z=sin(sqrt(x^2+y^2));
Again we first define a function for the plot. This time we take the default aspect ratio of figure(), which is a 4x3 landscape format.
>function python pysurface (x,y,Z) ... from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = Axes3D(fig) ax.plot_surface(x,y,Z,rstride=1,cstride=1,cmap=cm.hot) ax.contourf(x,y,Z,zdir='z',offset=-2,cmap=cm.hot) ax.set_zlim(-2,2) endfunction
Now, plot_surface() and contourf() cannot really handle vectors. We would have to transpose y for contourf(). Instead, we use the old fashioned function field(), which generates matrices X, Y from vectors x, y in the same way as the matrix language of EMT.
After pyins() the plot is closed. But you can close all plots manually with plot.close('all').
You can also use NumPy to compute the data of the plot in Python.
>>> import numpy as np
With this package we can define the following.
>function python pyvectors (n) ... X,Y = np.mgrid[0:n,0:n]-n/2.0 T = np.arctan2(Y, X) R = 10+np.sqrt(Y**2+X**2) U,V = R*np.cos(T), R*np.sin(T) plt.figure(figsize=[8,8]) plt.quiver(X,Y,U,V,R,alpha=0.5) plt.quiver(X,Y,U,V,edgecolor='k',facecolor='None',linewidth=0.5) plt.xlim(-n/2.0,n/2.0), plt.xticks([k-n/2.0 for k in range(0,n+1)]) plt.ylim(-n/2.0,n/2.0), plt.yticks([k-n/2.0 for k in range(0,n+1)]) endfunction