Interact Exercise 2

Imports


In [2]:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np

In [3]:
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display


:0: FutureWarning: IPython widgets are experimental and may change in the future.

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 [4]:
def plot_sine1(a,b):
    x=np.linspace(0,4*np.pi,100)
    y=np.sin(a*x+b)
    plt.figure(figsize=(9,6))
    plt.plot(x,y)
    plt.title('sin(ax+b)')
    plt.xlim(right=4*np.pi)
    plt.xticks(np.arange(0,5*np.pi,np.pi),['0','$\pi$','$2\pi$','$3\pi$','$4\pi$'])
    ax=plt.gca()
    ax.spines['right'].set_visible(False)
    ax.spines['top'].set_visible(False)
    ax.get_xaxis().tick_bottom()
    ax.get_yaxis().tick_left()

In [5]:
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 [6]:
interact(plot_sine1,a=(0.0,5.0,0.1), b=(-5.0,5.0,0.1))


Out[6]:
<function __main__.plot_sine1>

In [7]:
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 [8]:
def plot_sine2(a,b,style='b'):
    x=np.linspace(0,4*np.pi,100)
    y=np.sin(a*x+b)
    plt.figure(figsize=(9,6))
    plt.plot(x,y,style)
    plt.title('sin(ax+b)')
    plt.xlim(right=4*np.pi)
    plt.xticks(np.arange(0,5*np.pi,np.pi),['0','$\pi$','$2\pi$','$3\pi$','$4\pi$'])
    ax=plt.gca()
    ax.spines['right'].set_visible(False)
    ax.spines['top'].set_visible(False)
    ax.get_xaxis().tick_bottom()
    ax.get_yaxis().tick_left()

In [9]:
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 [11]:
interact(plot_sine2,a=(0.0,5.0,0.1), b=(-5.0,5.0,0.1), style={'blue':'b--','black':'ko','red':'r^'})



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