Applying a function on row or column
Using df.apply(fun) can apply a function on columns or row:
df.apply(np.sum, axis=0)
df.apply(np.sum, axis=1)
Even can write a new function and run on columns or rows
def prod(col):
return col['A'] * col['B']
df.apply(prod, axis=1)
df['productcolmn']=df.apply(prod, axis=1)
