Test whether pandas DataFrame is Empty in Python (Example Code)
In this Python programming post you’ll learn how to test whether a pandas DataFrame is empty.
Setting up the Example
import pandas as pd # Import pandas library to Python |
import pandas as pd # Import pandas library to Python
my_df = pd.DataFrame({'A':[5, 1, 9, 5, 1, 2, 8], # Construct example DataFrame in Python 'B':[5, 6, 1, 8, 1, 9, 4], 'C':['a', 'b', 'c', 'd', 'e', 'f', 'g']}) print(my_df) # Display example DataFrame in console # A B C # 0 5 5 a # 1 1 6 b # 2 9 1 c # 3 5 8 d # 4 1 1 e # 5 2 9 f # 6 8 4 g |
my_df = pd.DataFrame({'A':[5, 1, 9, 5, 1, 2, 8], # Construct example DataFrame in Python 'B':[5, 6, 1, 8, 1, 9, 4], 'C':['a', 'b', 'c', 'd', 'e', 'f', 'g']}) print(my_df) # Display example DataFrame in console # A B C # 0 5 5 a # 1 1 6 b # 2 9 1 c # 3 5 8 d # 4 1 1 e # 5 2 9 f # 6 8 4 g
Example: Check if pandas DataFrame is Empty Using empty Attribute
print(my_df.empty) # DataFrame is not empty # False |
print(my_df.empty) # DataFrame is not empty # False