Quick Way to Merge Two CSV Data in Python

Question:

How can I quickly merge two CSV data stored in a dictionary in Python?

Answer:

You can quickly merge two CSV-structured data stored in a dictionary in Python by using the pandas library.

In Python, the pandas library provides powerful tools for data manipulation and analysis. To merge two CSV data stored in a dictionary efficiently, you can follow these steps:

Step 1: Import the pandas library

First, import the pandas library to utilize its functionalities for data manipulation.

import pandas as pd

Step 2: Convert dictionaries to DataFrames

Convert each dictionary containing CSV data into a pandas DataFrame using the pd.DataFrame() function.

# Convert dictionaries to DataFrames
df1 = pd.DataFrame(dict1)
df2 = pd.DataFrame(dict2)

Step 3: Concatenate the DataFrames

Use the concat() function from pandas to merge the two DataFrames along the appropriate axis, which is typically 0 for row-wise merge.

# Concatenate DataFrames
merged_df = pd.concat([df1, df2])

By following these steps, you can efficiently merge two CSV-structured data stored in a dictionary in Python using the pandas library. This approach simplifies the process and provides a practical solution for combining data from multiple sources.