Скачать или смотреть Python Pandas Tutorial: DataFrame Operations (Rename or Drop Column, Set, Reset, and Use Indexes) #7

In this video you will learn more about Operations on DataFrames (Rename or Drop Column, Set, Reset, and Use Indexes).

To handle the data using pandas is very easy just like in Microsoft Excel, if you are expert in Pandas DataFrame Operations. Pandas provides high-performance, easy-to-use data structures as a Series, Data Frame (Panel Data Structure) with high level of statistical operation and time series analysis.

This video tutorial will cover complete understanding of below points:
1.) Renaming Columns in a Pandas DataFrame.
2.) Explaining the Inplace Parameter for Beginners
3.) How to apply axis (rows-column) on DataFrame?
4.) Delete single or multiple column from DataFrame based on condition.
5.) Delete rows in pandas DataFrame based on condition.
6.) How to set- reset and delete DataFrame's index?
7.) Various Assignments and Operations on a DataFrame

Python Jupyter Notebook: https://tinyurl.com/yh9tc4mf
Source Data: https://tinyurl.com/ygtaqhxa



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