pandas - Python: unsupported operand type(s) for /: 'tuple' and 'float' -


i'm trying loop , create new data frame based on data frame have. suppose have dataframe this

foo fizz buzz totals scale 10  3    2     15     .2 8   4    3     15     .2  5   1    5     11     .4 6   7    5     18     .1 9   2    6     17     .1

and categorical variable such:

groups = pd.series(['foo','fizz','buzz'], dtype = "category")

and want create new dataframe takes percentage of total , multiply scale. figured easiest way loop can have dataframe , names consistent it's throwing me error:

typeerror: unsupported operand type(s) /: 'tuple' , 'float'

the code used below. appreciated (i know there has easier way). thanks!

df = pd.dataframe() #creating empty data frame  j in categorical(groups).categories: #looping through categories     calc = [] #empty list     in range(0, demo.shape[0]): #loop through rows         #below column divided total , multiplied scale.          #then take number , append onto list                             calc.append(round((round(cross.ix[i,j],4)/round(cross.totals[i],4)) * cross.weight[i],4))          #finally append list dataframe using categories column name using setting enlargement          df.loc[:,categorical(groups).categories[j]] = calc  

round(   (demo.ix[i,j],4) / round(demo.totals[i],4)   )

i've added spaces code emphasize what's happening: have tuple of demo.ix[i,j] 1 element , 4 other, divide tuple demo.totals[i] rounded 4 places (a float), round that... can't round because attempting divide tuple float gives error saw. try following instead.

round(demo.ix[i,j],4) / round(demo.totals[i],4)

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