python - Fastest way to initialize numpy array with values given by function -

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i interested in ((d1,d2)) numpy arrays (matrices) question makes sense arrays more axes. have function f(i,j) , i'd initialize array operation of function

a=np.empty((d1,d2)) in range(d1):     j in range(d2):         a[i,j]=f(i,j)

this readable , works wondering if there faster way since array large , have optimize bit.

one way use np.fromfunction. code can replaced line: 

np.fromfunction(f, shape=(d1, d2))

this implemented in terms of numpy functions , should quite bit faster python for loops larger arrays.


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