In [34]:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
In [35]:
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display
Write a plot_sin1(a, b) function that plots $sin(ax+b)$ over the interval $[0,4\pi]$.
$3\pi$.
In [36]:
# YOUR CODE HERE
def plot_sine1(a, b):
t = np.linspace(0,4*np.pi,400)
plt.plot(t,np.sin(a*t + b))
plt.xlim(0,4*np.pi)
plt.ylim(-1.0,1.0)
plt.xticks([0,np.pi,2*np.pi,3*np.pi,4*np.pi], ['0','π','2π','3π','4π'])
In [37]:
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 [38]:
interact(plot_sine1,a=(0.0,5.0,.1),b=(-5.0,5.0,.1));
In [39]:
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:
r--bok.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 [40]:
def plot_sine2(a,b,style):
t = np.linspace(0,4*np.pi,400)
plt.plot(t,np.sin(a*t + b),style)
plt.xlim(0,4*np.pi)
plt.ylim(-1.0,1.0)
plt.xticks([0,np.pi,2*np.pi,3*np.pi,4*np.pi], ['0','π','2π','3π','4π'])
In [41]:
plot_sine2(4.0, -1.0, 'r--')
Use interact to create a UI for plot_sine2.
a and b as above.
In [44]:
interact(plot_sine2, a=(0.0,5.0,.1), b=(-5.0,5.0,.1), style={'Dotted Blue': 'b:', 'Black Circles': 'ko', 'Red Triangles':'r^'});
In [43]:
assert True # leave this for grading the plot_sine2 exercise