From the course: Skill Up with Python: Hands-On Data Science and Machine Learning Projects
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Manipulate data with pandas - Python Tutorial
From the course: Skill Up with Python: Hands-On Data Science and Machine Learning Projects
Manipulate data with pandas
- Alright, so now that we know how to load data from things like a basic CSV file into our Jupyter Notebooks, and we also know how to just view some basic characteristics of the data set that we currently have, the next thing that we're going to take a look at is how we can actually view this data set in more depth, right? As well as how we can actually manipulate it. So, the first thing that you'll want to know is how to access things like individual columns and rows from this data frame. Now this is where a data frame is a little bit more exciting than basic things like a Python dictionary or a Python list because it provides you with, as I've said before, a very fluent way, a very easy, sort of intuitive way of accessing different parts of your data. So, for example, if we wanted to access an individual column of our global education data here, what we can do, you're really going to like this syntax here, I think, is we can just say DF, and then inside these square brackets, we can…
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