Python Pandas: Select, SLICE & FILTER Data rows & columns by Index or Conditionals

This Python Pandas tutorial video teaches you how to select, slice and filter data in a DataFrame, by both rows and columns, using the index or conditionals such as Lambda functions. It explains head, tail, loc, iloc, and query functions, and covers numerical, string, and time series indexed data.
1:06 head, tail
2:52 selecting rows with loc
5:34 selecting columns
8:19 filtering with loc
10:16 lambda filter
11:25 iloc
16:00 df.query
20:19 Time Series

RELATED VIDEOS
► Numpy Intro: https://youtu.be/8Mpc9ukltVA
► Numpy Intro Jupyter nb: https://youtu.be/AAS8yoKuK7M
► Pandas Intro: https://youtu.be/e60ItwlZTKM
► Pandas Import Data: https://youtu.be/x2Shyoif3ls
► Pandas Selecting & Filtering: https://youtu.be/DCE6t3vNfvM
► Pandas Time Series: https://youtu.be/QQy_zD-LE-4
► Pandas and MatPlotLib: https://youtu.be/ALX88JzeQnk
► Matplotlib Intro: https://youtu.be/MbKrSmoMads

Code: https://bit.ly/Pandas-nb
Twitter: https://twitter.com/joejamesusa
Subscribe: https://bit.ly/like-this-channel
Thank me on Patreon: https://www.patreon.com/joeyajames
#Python #Pandas

Видео Python Pandas: Select, SLICE & FILTER Data rows & columns by Index or Conditionals канала Programming and Math Tutorials