How to select the last column of dataframe

I have done some searching for the answer to this question, but all I can figure out is this:

df[df.columns[len(df.columns)-1]]

which to me seems unweildy, and un-pythonic (and slow?).

What is the easiest way to select the data for the last column in a pandas dataframe without specifying the name of the column?

Use iloc and select all rows (:) against the last column (-1):

df.iloc[:,-1:]

Somewhat similar to your original attempt, but more Pythonic, is to use Python's standard negative-indexing convention to count backwards from the end:

df[df.columns[-1]]

These are few things which will help you in understanding everything... using iloc

In iloc, [initial row:ending row, initial column:ending column]

case 1: if you want only last column --- df.iloc[:,-1] & df.iloc[:,-1:] this means that you want only the last column...

case 2: if you want all columns and all rows except the last column --- df.iloc[:,:-1] this means that you want all columns and all rows except the last column...

case 3: if you want only last row --- df.iloc[-1:,:] & df.iloc[-1,:] this means that you want only the last row...

case 4: if you want all columns and all rows except the last row --- df.iloc[:-1,:] this means that you want all columns and all rows except the last column...

case 5: if you want all columns and all rows except the last row and last column --- df.iloc[:-1,:-1] this means that you want all columns and all rows except the last column and last row...