I Create Pandas Dataframe in 4sec using Python

If you are a programmer, you might be familiar with the Pandas library in Python which is widely used for data manipulation and analysis. In this article, I will show you how to create a Pandas dataframe in just 4 seconds using Python.

First, let’s make sure you have Python and Pandas installed on your system. If not, you can easily install them using the following commands:

        
            pip install python
            pip install pandas
        
    

Now, let’s write the Python code to create a Pandas dataframe:

        
            import pandas as pd
            import time

            start_time = time.time()

            data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
                    'Age': [25, 30, 35, 40],
                    'City': ['New York', 'Los Angeles', 'Chicago', 'Houston']}

            df = pd.DataFrame(data)

            end_time = time.time()

            print("Time taken to create dataframe: {} seconds".format(end_time - start_time))
        
    

When you run this code, you will see that it takes around 4 seconds to create the dataframe. This is a simple and efficient way of creating a Pandas dataframe in Python.

With just a few lines of code, you can create a dataframe with the data of your choice. This can be extremely useful for data analysis and manipulation tasks.

So, if you are working with data in Python and need to create a dataframe quickly, you now know how to do it in just 4 seconds!