Renaming columns is a common data-cleaning task. Pandas offers several flexible ways to rename columns depending on whether you want to rename a single column, many columns, use a function to transform all names, or do an in-place rename. Using DataFrame.rename() (recommended) rename() accepts a columns mapping (old_name → new_name) or a function. By default… Continue reading Rename columns in Pandas DataFrame
Tag: Pandas-column
Adding New Column to Existing DataFrame in Pandas
Adding new columns is one of the most frequent operations in data manipulation. Whether you are creating derived metrics, filling default values, or merging additional data. In this article, we will learn how to add New Column to Existing DataFrame in Pandas. # Example starting DataFrame import pandas as pd df = pd.DataFrame({ ‘Name’: [‘Alice’,… Continue reading Adding New Column to Existing DataFrame in Pandas
How to Access Columns by index in Pandas
In Pandas, accessing columns by their index is useful when you want to retrieve specific columns based on their position, rather than their name. This can be done using various methods, such as iloc[], iat[], or using columns to get the column name by position. In this article, we’ll explore these methods with examples. Pandas:… Continue reading How to Access Columns by index in Pandas
How to Access Column by Name in Pandas
Pandas: How to Access Columns by Name In Pandas, accessing columns by name is a very common operation. It’s simple and effective when you know the exact column name you’re working with. You can use the column name directly to access the data. This article will explore different ways to access columns by their names in… Continue reading How to Access Column by Name in Pandas
Accessing column using iterrows in Pandas
Pandas: How to Access a Column Using iterrows() In Pandas, iterrows() is commonly used to iterate over the rows of a DataFrame as (index, Series) pairs. During iteration, you can access specific columns of the DataFrame by referencing them within the loop. In this article, we’ll show how to access a column in Pandas using… Continue reading Accessing column using iterrows in Pandas
How to calculate the Percentage of a column in Pandas ?
Pandas is a popular data manipulation library used in Python for performing various data analysis tasks. One such task is calculating the percentage of a column in a Pandas dataframe. In this article, we will explore different ways to calculate the percentage of a column in Pandas. Method 1: Using the apply() Method The apply() method… Continue reading How to calculate the Percentage of a column in Pandas ?
How to Access Columns by index in Pandas
In Pandas, accessing columns by their index is useful when you want to retrieve specific columns based on their position, rather than their name. This can be done using various methods, such as iloc[], iat[], or using columns to get the column name by position. In this article, we’ll explore these methods with examples. Pandas: How to Access or… Continue reading How to Access Columns by index in Pandas
Select Pandas columns by index range
When working with Pandas DataFrames, we often need to select specific columns based on their index positions. In case you are preprocessing data for machine learning, visualizing, or cleaning your dataset, selecting columns by index range is a powerful and efficient technique. Let’s see how to select columns by index in Pandas using multiple methods… Continue reading Select Pandas columns by index range
Select Single Column in Pandas DataFrame
In this article, you’ll learn the different methods to extract a single column and how each affects the result. # Create sample DataFrame import pandas as pd df = pd.DataFrame({ ‘Name’: [‘Alice’, ‘Bob’, ‘Charlie’], ‘Age’: [25, 30, 35], ‘City’: [‘New York’, ‘Los Angeles’, ‘Chicago’] }) Method 1: Using Bracket Notation (Recommended) This is the most… Continue reading Select Single Column in Pandas DataFrame
How to Access Columns by index in Pandas
Access Columns by index – Pandas In Pandas, accessing columns by their index is useful when you want to retrieve specific columns based on their position, rather than their name. This can be done using various methods, such as iloc[], iat[], or using columns to get the column name by position. In this article, we’ll… Continue reading How to Access Columns by index in Pandas