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

35.5K views
Jun 15, 2020
24:38

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

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