Pandas DataFrame get_value() | Retrieve Value from a Cell
In this conversation, we will explore the Pandas DataFrame.get_value()
method. To facilitate our understanding, we will delve into specific examples that illustrate the use of this method. Let’s explore this method further through illustrative examples to gain a deeper understanding of its practical application.
Pandas Dataframe.get_value() Syntax
Syntax: DataFrame.get_value(index, col, takeable=False)
Parameters:
- index : row label
- col : column label
- takeable : interpret the index/col as indexers, default False
Returns : value : scalar value
For link to CSV file Used in Code, click here
What is Pandas Dataframe.get_value() ?
Python stands out as an excellent language for data analysis, thanks in large part to its robust ecosystem of data-centric packages. Among these, Pandas stands out as a powerful tool that simplifies the process of importing and analyzing data. A notable function within the Pandas library is `dataframe.get_value()`, which serves the purpose of swiftly retrieving a single value from the dataframe based on the specified column and index.
get_value() in Pandas Example
Example 1: get_Value method
Use get_value() function to find the value of salary in the 10th row
Python3
# importing pandas as pd import pandas as pd # Creating the dataframe df = pd.read_csv( "nba.csv" ) # Print the dataframe df |
Output
Python3
# applying get_value() function df._get_value( 10 , 'Salary' ) |
Output:
2569260.0
Use get_value() function and pass the column index value rather than name. We can also use integer indexer value of columns by setting the takeable parameter=True.
Python3
# importing pandas as pd import pandas as pd # Creating the dataframe df = pd.read_csv(" nba.csv " ) # column index value of "Name" column is 0 # We have set takeable = True # to interpret the index / col as indexer df.get_value( 4 , 0 , takeable = True ) |
Output:
Jonas Jerebko
Pandas get_value()
Without Dataset
In this example, we show the application of the deprecated dataframe.get_value()
function in Python with a simple Pandas dataframe. The code showcases how to retrieve specific values from the dataframe, providing insights into the age of an individual named ‘Bob’. Note that while dataframe.get_value()
is deprecated, this example serves as an illustration of its usage for educational purposes
Python3
import pandas as pd # Creating a simple dataframe data = { 'Name' : [ 'Alice' , 'Bob' , 'Charlie' ], 'Age' : [ 25 , 30 , 22 ], 'Salary' : [ 50000 , 60000 , 45000 ] } df = pd.DataFrame(data) df.set_index( 'Name' , inplace = True ) # Displaying the dataframe print ( "Original DataFrame:" ) print (df) # Using dataframe.get_value() to retrieve a specific value selected_age = df.get_value( 'Bob' , 'Age' ) # Displaying the result print ( "\nUsing get_value() to get Bob's age:" ) print (f "Bob's Age: {selected_age}" ) |
Output
Original DataFrame:
Age Salary
Name
Alice 25 50000
Bob 30 60000
Charlie 22 45000
Using get_value() to get Bob's age:
Bob's Age: 30