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%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
from matplotlib import markers
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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 $[0,4\pi]$.
$3\pi$.
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# YOUR CODE HERE
t=np.linspace(0,4*3.14,1000)
def plot_sine1(a,b):
plt.plot(t,np.sin(t*a)+b)
plt.xlim(0,4*3.14)
plt.ylim(b-2,b+2)
plt.tick_params(direction='out')
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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 $0.1$.
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# YOUR CODE HERE
interact(plot_sine1,a=(0,5,0.1),b=(-5,5,0.1));
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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:
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.
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# YOUR CODE HERE
t=np.linspace(0,4*3.14,1000)
def plot_sine2(a,b,c):
plt.plot(t,np.sin(t*a)+b,c)
plt.xlim(0,4*3.14)
plt.ylim(b-2,b+2)
plt.tick_params(direction='out')
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plot_sine2(4.0, -1.0,'r--')
Use interact to create a UI for plot_sine2.
a and b as above.
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# YOUR CODE HERE
interact(plot_sine2,a=(0,5,0.1),b=(-5,5,0.1), c={'blue dots': 'b.','black circles': 'ko','red triangles': 'r^'});
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assert True # leave this for grading the plot_sine2 exercise
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