Which method is used to read a CSV file using Pandas?Group of answer choicespd.read_csv()pd.load_csv()pd.csv_read()pd.get_csv()
Question
Which method is used to read a CSV file using Pandas?
Group of answer choices
- pd.read_csv()
- pd.load_csv()
- pd.csv_read()
- pd.get_csv()
Solution
The method used to read a CSV file using Pandas is pd.read_csv().
Pandas is a powerful library in Python specifically designed for data manipulation and analysis. The read_csv() function is one of its most commonly used methods, allowing users to import data from a comma-separated values (CSV) file into a Pandas DataFrame. When you call this function, it reads the data contained in the CSV file and converts it into a structured table format, which can then be easily manipulated.
In terms of the other options presented:
- pd.load_csv()is incorrect because there is no- load_csv()function in the Pandas library.
- pd.csv_read()does not exist, making it an invalid choice.
- pd.get_csv()is also not a function provided by Pandas.
Thus, the correct answer is clearly pd.read_csv().
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