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7.1. Table of Contents¶
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Holoviews cheatsheet. In 7: import pandas as pd import numpy as np import holoviews as hv from holoviews import opts from holoviews import streams import param hv. Extension ('bokeh', 'matplotlib') # Set dark theme from bokeh.themes import builtinthemes hv. Renderer ('bokeh'). Theme = builtin.
7.2. Numeric¶
7.3. Basic plotting functions¶
7.4. Symbolic manipulation¶
7.4.1. Imports¶
Symbol definitions
Example controller and system
7.4.2. Working with rational functions and polynomials¶
We often want nice rational functions, but sympy doesn’t make expressions rational by default
The cancel
function forces this to be a fraction. collect
collects terms.
In some cases we can factor equations:
Obtain the numerator and denominator:
If you want them both, you can use
Convert to polynomial in s
Once we have a polynomial, it is easy to obtain coefficients:
Calculate the Routh Array
To get a function which can be used numerically, use lambdify
:
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7.4.3. Functions useful for discrete systems¶
Write in terms of positive powers of (z):
Write in terms of negative powers of (z):
Inversion of the (z) transform
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7.5. Equation solving¶
7.5.1. Symbolic¶
7.5.2. Numeric sympy¶
7.5.3. Numeric¶
7.6. Matrix math¶
7.6.1. Symbolic¶
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Creation
Determinant, inverse, transpose
Math operations: Multiplication, addition, elementwise multiplication:
7.6.2. Numeric¶
Creation
Determinant, inverse, transpose
Math operations: Multiplication, addition, elementwise multiplication: