How to read data in pandas dataframe
In this video, we'll be teaching you how to use pandas, a Python library for data analysis. We'll be covering everything from basic syntax to data analysis techniques, so be sure to watch the video to learn everything you need to know about pandas!
If you're new to Python and want to learn how to use pandas, this is the tutorial for you! We'll cover everything from syntax to data analysis, so you'll be able to get started using pandas in no time at all. Thanks for watching!
The pandas library is a powerful tool for data analysis in Python. It has many functions and methods to manipulate data. One of the most important and popular ones is read_csv() function that can read data from CSV file.
There are several ways to read a CSV file into a pandas dataframe, but the best one is to use read_csv() function with the following arguments:
filename: Path of the CSV file
delimiter: The character that separates fields in each row, usually comma or tab
skiprows: The number of rows to skip at the beginning of the file (optional)
header: Boolean value indicating whether the first row should be interpreted as column names (True) or not (False)
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