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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

  1. pd.read_csv()
  2. pd.load_csv()
  3. pd.csv_read()
  4. pd.get_csv()
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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().

This problem has been solved

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