Sample code for binding column into a data frame using python| S-Logix

List of Topics:

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

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