![]() For example:Į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 Square brackets can also be used to access observations (rows) from a DataFrame. The single bracket will output a Pandas Series, while a double bracket will output a Pandas DataFrame.Į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 You can either use a single bracket or a double bracket. ![]() In the example below, you can use square brackets to select one column of the cars DataFrame. One of the easiest ways to do this is by using square bracket notation. There are several ways to index a Pandas DataFrame. Now, the csv cars.csv is stored and can be imported using pd.read_csv:Į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Īnother way to create a DataFrame is by importing a csv file using Pandas.
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