Fundamentals of Filtering Data in a Pandas Dataframe - Beginner Python Pandas Tutorial #3

This is beginner Python Pandas tutorial #3 and in this video, we walk through the fundamentals of filtering data in a pandas dataframe. We start by creating boolean masks, similar to how you’d create one in NumPy. Then I’ll show you how to use the boolean mask to filter data on your dataset.

Documentation can be found here:

Let me know if you have any questions and please offer feedback on how I can improve to help you better.

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Follow along interactively and execute code with me as I walk through the concepts!

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[juanrojo]

Dude, what a great course. Thank you for doing this !

[leleemagnu]

This is a great course. Probably the best i have seen so far.
It is simple to follow, cover all the necessary and it is mostly to the point.
Thank you very much.
I think i spotted a couple of issues in the notebook attached to this session:
1) It seems that the necessary libraries are not imported:
import numpy as np # Perhaps this is not really needed here
import pandas as pd
2) The first line where the csv file is downloaded shows:
data = pd.read('titanic.csv') # This will not work
while it should read:
data = pd.read_csv('titanic.csv')
Thank you again
e

[yusufbas]

I've learned so much from this course Thank you

[Networkprofessor]

Wow. Amazing Colab notenook to follow along. There are even exercises and solutions! Thank you.

[bittusharma]

Hi how can I copy the dataframe data into postgres database without using row by row iterations