This article is from 2023, and some product details in it may be out of date. Saturn Cloud now offers dedicated inference endpoints built with NVIDIA DSX, running on private GPU capacity we secure through our neocloud partners.
As a data scientist, you’re likely to come across situations where you need to insert a list into a cell of a Pandas DataFrame. Python Pandas is a powerful library for data manipulation, and it provides several ways to insert data into a DataFrame. In this article, we will discuss how to insert a list into a cell of a Pandas DataFrame.
What is Pandas?
Pandas is a popular Python library for data manipulation and analysis. It provides data structures to efficiently store and manipulate large datasets. The two main data structures in Pandas are Series and DataFrame. A Series is a one-dimensional labeled array that can hold any data type. A DataFrame is a two-dimensional labeled data structure with columns of potentially different types.
How to Insert a List into a Cell in Pandas DataFrame
To insert a list into a cell of a Pandas DataFrame, we can use the iloc or loc method. The iloc method is used to access rows and columns of a DataFrame by integer position, while the loc method is used to access rows and columns by label.
Using iloc
Let’s create a simple Pandas DataFrame to demonstrate how to insert a list into a cell using the iloc method.
import pandas as pd
# Sample DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie'],
'Age': [20, 22, 21],
'Grade': [None, None, None]} # Initialize Grade column with None
df = pd.DataFrame(data)
# List of grades to be inserted
grades_to_insert = [95, 88, 92]
# Display df
print(df)
Output:
Name Age Grade
0 Alice 20 None
1 Bob 22 None
2 Charlie 21 None
In this example, the DataFrame has three columns: Name, Age, and Grade. The Grade column is initialized with None, and we want to insert the values from the grades_to_insert list into the ‘Grade’ column for each respective student.
# Inserting the list of grades into the 'Grade' column using iloc
df.iloc[:, 2] = grades_to_insert
# Display df
print(df)
Here, df.iloc[:, 2] selects all rows in the Grade column. The right-hand side of the assignment (grades_to_insert) assigns the list of grades to the selected cells. The resulting DataFrame will look like this:
Name Age Grade
0 Alice 20 95
1 Bob 22 88
2 Charlie 21 92
Using loc
We can also use the loc method to insert a list into a cell of a Pandas DataFrame. Let’s modify the previous example to use the loc method.
# Assign the list to Grade column
df.loc[:, 'Grade'] = grades_to_insert
print(df)
Here, we are using the loc method to access all rows in the Grade column and assigning a list grades_to_insert to it. The resulting DataFrame will be the same as the previous example.
Output:
Name Age Grade
0 Alice 20 95
1 Bob 22 88
2 Charlie 21 92
Conclusion
In this article, we explored how to use the iloc and loc methods in Pandas to insert a list of values into a specific cell in a DataFrame. While loc excels in label-based indexing, offering an intuitive approach for selecting and modifying data based on labels or boolean arrays, iloc is valuable for its proficiency in index-based indexing. Understanding the loc method enhances your ability to manipulate and update data in a Pandas DataFrame with greater flexibility.

