Charles Kelly explains how to use assignment statements for Pandas DataFrame and Series objects.
- [Instructor] The Assignment Statements file…from your exercises file folder…is pre-populated with import statements…for pandas, numpy, a numpy data set,…a datetime index, and two sample DataFrames.…It also initializes a variable named starting_date…to the first of July, 2016.…The purpose of this video is to explain…how to assign information to cells…within DataFrames.…This could be useful in at least two different contexts.…In the first context,…it's using Python and Pandas as a library.…
In this case, you wanna perform…ordinary assignment statements.…The second, and perhaps more interesting context,…is you receive a data set from some location.…As you look through the data set,…you realize that it's necessary to change…small amounts of the data within that data set.…In that case, you can use assignment statements…to change particular pieces of data.…You can do this either interactively…in a Jupyter notebook,…or you could do it using ordinary Python code.…
Begin by placing the cursor in the import cell.…Press Shift + Enter.…
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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