Python Pandas largest number -


i working on problem have take 15th power of numbers, when in python console correct output, when put these numbers in pandas data frame , try take 15th power, negative number. example, 1456 ** 15 = 280169351358921184433812095498240410552501272576l, when similar operation performed in pandas negative values. there limit on size of number pandas can hold , how can change limit.

if operations done in pydata stack (numpy/pandas), you're limited fixed precision numbers, 64bit.

arbitrary precision numbers string, perhaps?


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