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IPython Notebook Essentials

You're reading from   IPython Notebook Essentials Compute scientific data and execute code interactively with NumPy and SciPy

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Product type Paperback
Published in Nov 2014
Publisher
ISBN-13 9781783988341
Length 190 pages
Edition 1st Edition
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Author (1):
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Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

The plot function

The plot() function is the workhorse of the matplotlib library. In this section, we will explore the line-plotting and formatting capabilities included in this function.

To make things a bit more concrete, let's consider the formula for logistic growth, as follows:

The plot function

This model is frequently used to represent growth that shows an initial exponential phase, and then is eventually limited by some factor. The examples are the population in an environment with limited resources and new products and/or technological innovations, which initially attract a small and quickly growing market but eventually reach a saturation point.

A common strategy to understand a mathematical model is to investigate how it changes as the parameters defining it are modified. Let's say, we want to see what happens to the shape of the curve when the parameter b changes.

To be able to do what we want more efficiently, we are going to use a function factory. This way, we can quickly create logistic...

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