Concatenate Pandas dataframes (like a union function in SQL)

import pandas as pd

#create a dataframe
raw_data = {'name': ['Willard Morris', 'Al Jennings'],
'age': [20, 19],
'favorite_color': ['blue', 'red'],
'grade': [88, 92]}
df = pd.DataFrame(raw_data, index = ['Willard Morris', 'Al Jennings'])
df

	age	favorite_color	grade	name
Willard Morris	20	blue	88	Willard Morris
Al Jennings	19	red	92	Al Jennings

#create another dataframe
raw_data_2 = {'name': [ 'Omar Mullins', 'Spencer McDaniel'],
'age': [22, 21],
'favorite_color': ['yellow', "green"],
'grade': [95, 70]}
df_2 = pd.DataFrame(raw_data, index = ['Omar Mullins', 'Spencer McDaniel'])
df_2

	age	favorite_color	grade	name
Omar Mullins	20	blue	88	Willard Morris
Spencer McDaniel	19	red	92	Al Jennings

#create list of dataframes we want to concatenate
dataframes = [df, df_2]

#concatenate the dataframes. analagous to union function in sql
dataframes_concat = pd.concat(dataframes)
dataframes_concat

	age	favorite_color	grade	name
Willard Morris	20	blue	88	Willard Morris
Al Jennings	19	red	92	Al Jennings
Omar Mullins	20	blue	88	Willard Morris
Spencer McDaniel	19	red	92	Al Jennings