CODEWITHSUNDEEP
pythonmatlab
Thanos
Thanos

Reputation: 854

Port this snippet from Matlab to Python

I have the following code snippet in Matlab and want to port it to Python.

for i=1:runs;
   tic;
   datmat=importdata('data.txt',' ');
    Limits_Area=[1,261,522,784,1045,1305,1565,1827,2088,2349,2610,2871,3131,3158];
   for k=1:2000;
      for j=1:13;
         Year_Data=datmat.data(Limits_Area(j):Limits_Area(j+1)-1,4:37);
         Min_Year=min(Year_Data);
         Max_Year=max(Year_Data);
         Mean_Year=mean(Year_Data);
         GainLoss_Year=100-(Year_Data(1,:)+0.00000001)./(Year_Data(end,:)+0.00000001)*100;
     end;
   end;

I am having a really hard time with the

Year_Data=datmat.data(Limits_Area(j):Limits_Area(j+1)-1,4:37);

part.... Any directions?

Thank you

Upvotes: 0

Views: 208

Answers (1)

lucasg
lucasg

Reputation: 11002

Have you tried numpy ? it is a library for scientific computing which looks like Matlab. For example :

In Matlab : a(1:5,:)

In Numpy : a[0:5] or a[:5] or a[0:5,:]

Check out : Numpy for Matlab Users

if you do not want to use Numpy, try the comprehension lists :

Year_Data = [ [datmat.data(i,j) for j in range (4,38) ] for i in range(j,j+2) ]

EDIT:

for i in range(runs) :
    datamat = numpy.genfromtxt('data.txt',delimiter=' ', newline ='\n' ) 
    // Adapt the previous line to the format of your txt file
    // at this point you should have a numpy.array object with the right shape
    Limits_Area= numpy.array( [1,261,522,784,1045,1305,1565,1827,2088,2349,2610,2871,3131,3158] )
    for k in range(2000):
        for j in range(13):
            Year_Data = datmat[ Limits_Area(j):Limits_Area(j+1)-1 , 4:37 ]
            etc etc ...

NB : Matlab arrays indexes goes from 1 to n whereas numpy arrays indexes goes from 0 to n-1

Upvotes: 2

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