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gets the same columns as

df[['C', 'D', 'E']] # Mind, this makes a copy.

or

df.loc[:, ['C', 'D', 'E']] # This does not make a copy (better).

is equivalent to

df[['C', 'D', 'E']]  # or df.loc[:, ['C', 'D', 'E']]

is equivalent to

df[['C', 'D', 'E']]  # or df.loc[:, ['C', 'D', 'E']]

gets the same columns as

df[['C', 'D', 'E']] # Mind, this makes a copy.

or

df.loc[:, ['C', 'D', 'E']] # This does not make a copy (better).

To get the columns from C to E (note that unlike integer slicing, 'E' is included in the columns):

The same works for selecting rows based on labels. Get the rows 'R6' to 'R10' from those columns:

To get the columns from C to E (note that unlike integer slicing, E is included in the columns):

The same works for selecting rows based on labels. Get the rows R6 to R10 from those columns: