B 2c@sHddlmZddlmZmZdddZdddZdd d d d d dZdS)) annotations) DataFrameconcatNcsddddd}ttr0fdd|D}nttrD||drd|jd|dksdt|dr|jd|dkst|d r|jd |d kst|d r|jd |d kstdS) NZfloat32Zfloat16Zfloat64)ABCDcsi|]\}}|qSr ).0kv)dtyper =/tmp/pip-install-v41xt_bg/pandas/pandas/tests/frame/common.py sz&_check_mixed_float..rrrr) isinstancestritemsdictupdategetdtypesAssertionError)dfr rr )r r_check_mixed_float s       rcsddddd}ttr0fdd|D}nttrD||drd|jd|dksdt|d r|jd |d kst|d r|jd |d kst|d r|jd |d kstdS) NZint32Zuint64Zuint8Zint64)rrrrcsi|]\}}|qSr r )r r r )r r rrsz$_check_mixed_int..rrrr)rrrrrrrr)rr rr )r r_check_mixed_ints       rzlist[DataFrame]intr)framesaxisreturncsX|dkr0dj}fdd|D}t|ddSdj}fdd|D}t|SdS)z take a list of frames, zip them together under the assumption that these all have the first frames' index/columns. Returns ------- new_frame : DataFrame rrcs(g|] }D]}|jdd|fq qS)N)loc)r cf)rr r 5szzip_frames..)rcs(g|] }D]}|j|ddfq qS)N)r )r ir")rr rr#9sN)columnsrindexr)rrr%Zzippedr&r )rr zip_frames*s    r')N)N)r) __future__rZpandasrrrrr'r r r rs