How to select the last column of dataframe

Question

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 m

Answer 1

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

df.iloc[:,-1:]

Answer 2

df.T.iloc[-1]

---

df.T.tail(1)

---

pd.Series(df.values[:, -1], name=df.columns[-1])

Answer 3

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...

Answer 4

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]]

Answer 5

This is another way to do it. I think maybe a little more general:

df.ix[:,-1]

Answer 6

The question is: how to select the last column of a dataframe ? Appart @piRSquared, none answer the question.

the simplest way to get a dataframe with the last column is:

df.iloc[ :, -1:]