Charles Kelly explains how to add annotations to plots using matplotlib within Jupyter notebooks.
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- Exercise Files
- [Instructor] The annotations file…from your exercises file folder is prepopulated…with import statements for pandas, num pi,…pi plot and a style director for GG plot.…It also contains a sample plot that has been annotated.…Begin by placing your cursor in this cell…and executing the cell by pressing shift+enter.…We can add simple text to a plot…by using the text function.…The first two parameters are the x and y coordinates…for the beginning, that is the left hand side of the text.…
These coordinates are given in the range…for the plotted data.…This is rarely a problem for interactive plots…where you can adjust the placement of the text,…however, if you're writing code that includes…a plot with text, you need to ensure…that the coordinates will be within…a valid range for the data.…The third parameter is the text string to display.…The remaining name parameter provides…styling characteristics for the text.…You can annotate a plot with a mathematical equation.…
The R character before the string indicates…that this is a raw string.…
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
Introduction to Data Analysis with Pythonwith Michele Vallisneri2h 16m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL for Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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