Test whether pandas DataFrame Contains Particular Value in Python (Example Code)
In this post, I’ll demonstrate how to test whether a specific value is contained in a pandas DataFrame in the Python programming language.
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, 7, 1, 2, 7], # Construct example DataFrame 'B':[1, 1, 1, 1, 1]}) print(my_df) # Display example DataFrame in console # A B # 0 5 1 # 1 7 1 # 2 1 1 # 3 2 1 # 4 7 1 |
my_df = pd.DataFrame({'A':[5, 7, 1, 2, 7], # Construct example DataFrame 'B':[1, 1, 1, 1, 1]}) print(my_df) # Display example DataFrame in console # A B # 0 5 1 # 1 7 1 # 2 1 1 # 3 2 1 # 4 7 1
Example: Searching for Values in pandas DataFrame
print(2 in my_df.values) # True |
print(2 in my_df.values) # True