Charles Kelly explains how to add multiple lines to a single plot using matplotlib within Jupyter notebooks.
- [Instructor] The Multiple file,…from your Exercises file folder,…is pre-populated with import statements for pandas,…numpy, pyplot, and a style directive for ggplot.…It also contains a temperature data set.…Begin by placing your cursor in this cell,…and executing the cell, by pressing shift + enter.…In this video, we will examine how…to display multiple lines within a single plot.…Let's examine the randomized data sets…for high and low temperatures.…
Following the convention from statistics…that the mean is referred to by the Greek letter mu,…and the standard deviation is referred to…by the Greek letter sigma,…we see that the low temperature data set…has a mean of 50 and a standard deviation of 4.3,…and that the high data set has a mean of 57…and a standard deviation of 5.2.…We have parameterized this data set…so that we can easily view the difference…between displaying small amounts…of data and large amounts of data.…
We'll begin with a data_set_size of 15.…The final statement in this cell uses…an assignment statement to create a python list, named days.…
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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