Reading CSV Files
As a data analyst, you most likely will not create DataFrames by yourself - often you will work with some tabular data, most likely stored in the csv format.
To read a csv file, use the pd.read_csv() function, passing the path to file (web link, or path in file system). When reading, you may set the column that will be used as indexes (index_col parameter, either column' name, or index).
During this course, we will work with one dataset audi_cars (source). This dataset contains information of price, transmission, mileage, fuel type, road tax, miles per gallon (mpg), and engine size of used cars. First, let's read this file (from web link).
123456# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') print(df)
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As a data analyst, you most likely will not create DataFrames by yourself - often you will work with some tabular data, most likely stored in the csv format.
To read a csv file, use the pd.read_csv() function, passing the path to file (web link, or path in file system). When reading, you may set the column that will be used as indexes (index_col parameter, either column' name, or index).
During this course, we will work with one dataset audi_cars (source). This dataset contains information of price, transmission, mileage, fuel type, road tax, miles per gallon (mpg), and engine size of used cars. First, let's read this file (from web link).
123456# Importing library import pandas as pd # Reading csv file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/67798cef-5e7c-4fbc-af7d-ae96b4443c0a/audi.csv') print(df)
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