Interact Exercise 2

Imports


In [3]:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np

In [4]:
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: $3\pi$.

In [12]:
def plot_sine1(a, b):
    x = np.arange(0, 4.01 * np.pi, 0.01 * np.pi)
    plt.plot(x, np.sin(a * x + b))
    plt.xlim(0, 4 * np.pi)
    plt.xticks([0, 1 * np.pi, 2 * np.pi, 3 * np.pi, 4 * np.pi], ['0', '$\pi$', '$2\pi$', '$3\pi$', '$4\pi$'])

In [13]:
plot_sine1(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 $0.1$.

In [14]:
interact(plot_sine1, a = (0.0, 5.0, 0.1), b = (-5.0, 5.0, 0.1))


Out[14]:
<function __main__.plot_sine1>

In [15]:
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.


In [16]:
def plot_sine2(a, b, style):
    x = np.arange(0, 4.01 * np.pi, 0.01 * np.pi)
    plt.plot(x, np.sin(a * x + b), style)
    plt.xlim(0, 4 * np.pi)
    plt.xticks([0, 1 * np.pi, 2 * np.pi, 3 * np.pi, 4 * np.pi], ['0', '$\pi$', '$2\pi$', '$3\pi$', '$4\pi$'])

In [17]:
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.

In [21]:
interact(plot_sine2, a = (0.0, 5.0, 0.1), b = (-5.0, 5.0, 0.1), style = ('b.', 'ko', 'r^'))


Out[21]:
<function __main__.plot_sine2>

In [ ]:
assert True # leave this for grading the plot_sine2 exercise