In [1]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [4]:

    

run_time_dask = [12141, 5746, 6017, 3353]
num_cores_dask = [64, 128, 192, 256]
num_files = 3806


    

In [9]:

    

plt.plot(num_cores_dask, num_files/np.array(run_time_dask), marker='o')
plt.xlabel('# of cores')
plt.ylabel('Grids/s')
plt.ylim([0,2])


    

    
Out[9]:





(0, 2)






    

In [11]:

    

plt.plot(num_cores_dask, np.array(run_time_dask), marker='o')
plt.xlabel('# of cores')
plt.ylabel('Total time [s]')
plt.ylim([0,20000])


    

    
Out[11]:





(0, 20000)






    

In [ ]: