how to label column names and row names in pandas dataframe

1# Basic syntax:
2# Assign column names to a Pandas dataframe:
3pandas_dataframe.columns = ['list', 'of', 'column', 'names']
4# Note, the list of column names must equal the number of columns in the
5# 	dataframe and order matters
6
7# Rename specific column names of a Pandas dataframe:
8pandas_dataframe.rename(columns={'column_name_to_change':'new_name'})
9# Note, with this approach, you can specify just the names you want to
10# 	change and the order doesn't matter
11
12# For rows, use "index". E.g.:
13pandas_dataframe.index = ['list', 'of', 'row', 'names']
14pandas_dataframe.rename(index={'row_name_to_change':'new_name'})

1print(df.rename(columns={'A': 'a', 'C': 'c'}))
2#         a   B   c
3# ONE    11  12  13
4# TWO    21  22  23
5# THREE  31  32  33
6

1print(df.rename(columns={'A': 'a', 'C': 'c'}))