Interact Exercise 2

Imports



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%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np



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from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display



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from math import pi

Plotting with parameters

Write a plot_sin1(a, b) function that plots $sin(ax+b)$ over the interval $[0,4\pi]$.

Customize your visualization to make it effective and beautiful.
Customize the box, grid, spines and ticks to match the requirements of this data.
Use enough points along the x-axis to get a smooth plot.
For the x-axis tick locations use integer multiples of $\pi$.
For the x-axis tick labels use multiples of pi using LaTeX: $3\pi$ .



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def plot_sin1(a, b):
    x = np.linspace(0, 4 * pi, 100)
    plt.plot(x, np.sin((c *x) + d))
    plt.xlim(0, 4 * pi)
    plt.ylim(-1.0, 1.0)
    plt.box(False)



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plot_sin1(5, 3.4)

Then use interact to create a user interface for exploring your function:

a should be a floating point slider over the interval $[0.0,5.0]$ with steps of $0.1$.
b should be a floating point slider over the interval $[-5.0,5.0]$ with steps of $0.1$.



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v = interact(plot_sine1, a=(0.0,5.0,0.1), b=(-5.0,5.0,0.1));
v



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assert True # leave this for grading the plot_sine1 exercise

In matplotlib, the line style and color can be set with a third argument to plot. Examples of this argument:

dashed red: r--
blue circles: bo
dotted black: k.

Write a plot_sine2(a, b, style) function that has a third style argument that allows you to set the line style of the plot. The style should default to a blue line.



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# YOUR CODE HERE
def plot_sin2 (a, b, style):
    x = np.linspace(0, 4 * pi, 100)
    plt.plot(x, np.sin((c *x) + d))
    plt.xlim(0, 4 * pi)
    plt.ylim(-1.0, 1.0)
    plt.box(False)



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plot_sin2(4.0, -1.0, 'b--')

Use interact to create a UI for plot_sine2.

Use a slider for a and b as above.
Use a drop down menu for selecting the line style between a dotted blue line line, black circles and red triangles.



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q = interact(plot_sin2, a=(0.0,5.0,0.1), b=(-5.0,5.0,0.1), style={'blue dots': 'b.', 'black circles': 'ko', 'red triangles': 'r^'});
q



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assert True # leave this for grading the plot_sine2 exercise



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