List of Topics:
Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

How to Bind Columns into DataFrame in Python

Bind Columns into DataFrame in Python

Condition for Binding Columns into DataFrame in Python

  • Description:
    In Python, you can bind columns to a DataFrame by adding new columns or merging datasets. The most common library used for this is Pandas.
Step-by-Step Process
  • Import Pandas:
    Start by importing the Pandas library.
  • Prepare Data:
    Have the data ready as individual lists, dictionaries, or Series that you want to bind as columns.
  • Create or Modify the DataFrame:
    Create a new DataFrame using the columns or add the columns to an existing DataFrame.
  • Verify the Result:
    Display the DataFrame to ensure the columns have been correctly bound.
Sample Source Code
  • # Binding columns using 2 dataframe

    import pandas as pd

    # First DataFrame
    df1 = pd.DataFrame({
    "Name": ["Rahul", "Chandru", "Dinesh","Antony","Vicky"],
    "Age": [25, 30, 35, 22, 36]
    })

    # Second DataFrame with columns to bind
    df2 = pd.DataFrame({
    "City": ["Chennai", "Bengaluru", "Mumbai","Delhi","Kolkata"],
    "Salary": [40000, 50000, 65000, 35000,90000]
    })

    # Binding columns using concatenation
    result = pd.concat([df1, df2], axis=1)

    print(result)
Screenshots
  • Bind Columns Output