CSV files are the “comma-separated values”, these values are separated by commas, this file can be view like as excel file. In Python, Pandas is the most important library coming to data science. We need to deal with huge datasets while analyzing the data, which usually can get in CSV file format. Creating a pandas data-frame using CSV files can be achieved in multiple ways.
Note: Get the csv file used in the below examples from here.
Method #1: Using
read_csv() is an important pandas function to read csv files and do operations on it.
Method #2: Using
read_table() is another important pandas function to read csv files and create data frame from it.
Method #3: Using
csv module: One can directly import the csv files using csv module and then create a data frame using that csv file.
['TM195', '18', 'Male', '14', 'Single', '3', '4', '29562', '112']
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