how to change column name in pandas

# Basic syntax:
# Assign column names to a Pandas dataframe:
pandas_dataframe.columns = ['list', 'of', 'column', 'names']
# Note, the list of column names must equal the number of columns in the
# 	dataframe and order matters

# Rename specific column names of a Pandas dataframe:
pandas_dataframe.rename(columns={'name_to_change':'new_name'})
# Note, with this approach, you can specify just the names you want to
# 	change and the order doesn't matter

df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
   a  c
0  1  4
1  2  5
2  3  6

df_new = df.rename(columns={'A': 'a'}) #change a from A

df.rename(columns={"A": "a", "B": "b", "C": "c"},
errors="raise", inplace=True)

#df.rename() will only return a new df with the new headers
#df = df.rename() will change the heders of the current dataframe 
df = df.rename(columns={"old_col1": "new_col1", "old_col2": "new_col2"})

df = df.rename(columns = {'myvar':'myvar_new'})

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

#Pandas for Python

df.coloumns = ['A','B'] 

names(df)[1] <- paste("newName")