python - Best way to handle ZeroDivisonError? -

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i've got following code:

def chunk_trades(a):     last = a[0]     new = []     x in a.iteritems():         if np.abs((x[1]-last)/last) > 0.1:             new.append(x[1])             last = x[1]         else:             new.append(last)     s = pd.series(new, index=a.index)     return s

sometimes last can zero. in case, i'd carry on gracefully if last zero.

what's cleanest way?

just replace line this:

if not last or np.abs((x[1]-last)/last) > 0.1:

this not raise exception since left assertion checked first.


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