MhQhSSKJr SSKJr SSKJrJr \(aSSKJr S Sjr S Sjr S S Sjjr g) ) annotations) TYPE_CHECKING) DataFrameconcat)AxisIntNcPSSSSS.n[U[5(a%UR5VVs0sHup4X1_M nnnO&[U[5(aUR U5 UR S5(aUR SUS:XdeUR S5(aUR SUS:XdeUR S5(aUR SUS:XdeUR S5(aUR SUS:Xdeggs snnf) Nfloat32float16float64ABCDr rrr isinstancestritemsdictupdategetdtypesdfdtyperkvs K/var/www/html/env/lib/python3.13/site-packages/pandas/tests/frame/common.py_check_mixed_floatrs999 MF%'-||~6~tq!(~6 E4  e zz#yy~,,, zz#yy~,,, zz#yy~,,, zz#yy~,,,7D"cPSSSSS.n[U[5(a%UR5VVs0sHup4X1_M nnnO&[U[5(aUR U5 UR S5(aUR SUS:XdeUR S5(aUR SUS:XdeUR S5(aUR SUS:XdeUR S 5(aUR S US :Xdeggs snnf) Nint32uint64uint8int64r r rrrrrs r_check_mixed_intr&sg FF%'-||~6~tq!(~6 E4  e zz#yy~,,, zz#yy~,,, zz#yy~,,, zz#yy~,,,7r c @US:XaFUSRnUVVs/sHo0HoDRSS2U4PM M nnn[USS9$USRnUVVs/sHopHoDRUSS24PM M nnn[ U5$s snnfs snnf)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 rN)axis)columnslocrindexr)framesr)r*cfzippedr,is r zip_framesr2/s qy)##'.?w!1%%1++w?f1%%q ',=u!f%%1+f+u=  @>s %B!%B)N)r()r-zlist[DataFrame]r)rreturnr) __future__rtypingrpandasrrpandas._typingrrr&r2rr:s'"  &-" - !r9