Question

If you want to import data from a .csv, which of the following would you use?

a.pd.read_csv('name.csv')
b.pd.read_excel(name.csv)
c.pd.load_csv('name.csv')
d.pd.csv('name.csv')

Answer 1

The correct option to import data from a .csv file is a. pd.read_csv('name.csv'), using the pandas library in Python. The pandas library allows for fast and flexible data analysis and manipulation. Option A is correct.

Step-by-step explanation:

If you want to import data from a .csv file, the correct syntactic option would be a. pd.read_csv('name.csv'). This function is part of the pandas library, which is a fast, powerful, and flexible data analysis and manipulation tool for Python. Here is a step-by-step guide to using this function:

First, ensure the pandas library is installed in your Python environment. If it is not, you can install it using 'pip install pandas'.

Then, you can import the pandas library into your Python script or notebook using 'import pandas as pd'.

Finally, use the command pd.read_csv('name.csv') to read the data from the .csv file. You can assign the data to a variable like this: data = pd.read_csv('name.csv'). This will create a pandas DataFrame with the data loaded from the .csv file.

This is the standard method to import .csv data in Python using pandas, which is widely used in data analysis, data science, and machine learning tasks.