Iterating through columns in pandas while applying different functions to each column

Question

Lets say I want to iterate though each column of a certain data frame, while at the same time applying different functions to each column. If every function is different for each column, is there a way to automate the code and not write N lines of code, where N is the total number of columns?

Answer 1

Use agg , as in:

df = pd.DataFrame({"a": range(3), "b": range(3,6)})
df.agg({"a": sum, "b": np.mean})