Pandas Dataframe Basics | Python Pandas Tutorial #3 | Pandas Describe, Info, isnull, Len Functions

In this video, you'll learn all about Python Pandas Dataframe basics, including the describe, info, and other methods to help you describe your dataframe.

0:00 Introduction
0:20 Recap of Video 2
0:54 Loading the Data
1:42 Pandas Info Method
2:47 Pandas Describe Method
3:50 Pandas Value Counts Function
4:39 Pandas Mean, etc
5:50 Pandas Unique Values
6:40 Pandas Columns Attribute
6:50 Pandas Null Values & Pandas isnull
8:42 Pandas Length (len) Function
9:20 Challenge for Video
9:30 Conclusion

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[munivoltarc]

hi, great work, explaining subject so easily to all, wondaful work, keep it up, could you explain OHLCV data, apply, map functions, user defined functions to to find the trend on the High, Low columns, to get buy signals and sell signals by not using any price lagging indicators.

[wackabump]

Hi, for your challenge question:
To know what % of a column is null, you can:

[thatzmey]

Sound goes very low when you jump into data, after recap..

[aalb]

len(df) doesn't work.

TypeError: 'DataFrame' object is not callable

[tridibbiswas]

A layman's question : what's difference between writing say df.describe vs df.describe() or say df.info vs df.info() : I find df.describe and df.info (without the parenthesis) churns out some results. Pardon my ignorance on this matter

[MachineLearningPro]

Great video! Take a look at my Pandas tutorial if you want.