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