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

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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plt.xticks?



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def plot_sin1(a,b):
    x=np.linspace(0,4*np.pi,300)
    plt.figure(figsize=(12,5))
    plt.plot(x,np.sin((a*x)+b),'g-')
    plt.xlim(0,4*np.pi)
    plt.tick_params(direction='out')
    plt.xticks([np.pi,2*np.pi,3*np.pi,4*np.pi])



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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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interact(plot_sin1,a=(0,5.0),b=(-5.0,5.0))



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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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def plot_sine2(a,b,style):
    x=np.linspace(0,4*np.pi,300)
    plt.figure(figsize=(12,5))
    plt.plot(x,np.sin((a*x)+b),style)
    plt.xlim(0,4*np.pi)
    plt.tick_params(direction='out')
    plt.xticks([np.pi,2*np.pi,3*np.pi,4*np.pi])
raise NotImplementedError()









    



---------------------------------------------------------------------------
NotImplementedError                       Traceback (most recent call last)
<ipython-input-102-aba671e2a3c7> in <module>()
      6     plt.tick_params(direction='out')
      7     plt.xticks([np.pi,2*np.pi,3*np.pi,4*np.pi])
----> 8 raise NotImplementedError()

NotImplementedError:



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plot_sine2(4.0, -1.0, 'r--')

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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interact(plot_sine2,a=(0,5.0),b=(-5.0,5.0),style=('b.','ko','r^'))



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assert True # leave this for grading the plot_sine2 exercise