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Working on pandas-dev/pandas#21374 I am Coming across unexpected complex128 upcasting.
here is an example of numexpr upcasting complex64 to complex128 when python operation conserves the correct dtype.
>>> compl = 1 + 1j >>> ne.evaluate('compl + 2').dtype dtype('complex128') >>> ne.evaluate('compl + compl').dtype dtype('complex128') >>> compl+compl (2+2j) >>> type(compl+compl) <class 'complex'> >>> type(compl+2) <class 'complex'>
Originally posted by @mutricyl in #155 (comment)
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Working on pandas-dev/pandas#21374 I am Coming across unexpected complex128 upcasting.
here is an example of numexpr upcasting complex64 to complex128 when python operation conserves the correct dtype.
Originally posted by @mutricyl in #155 (comment)
The text was updated successfully, but these errors were encountered: