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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
Write a plot_sin1(a, b) function that plots $sin(ax+b)$ over the interval $[0,4\pi]$.
$3\pi$.
In [3]:
def plot_sine1(a,b):
x = np.linspace(0, 4*np.pi, 100000)
plt.plot(x, np.sin(a*x + b))
#raise NotImplementedError()
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plot_sine1(5, 3.4)
plt.tick_params(axis='y', right='off', direction = 'out')
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_sine1, a=(0.0,5.0), b=(-5.,5.));
#raise NotImplementedError()
Out[5]:
In [6]:
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 [7]:
def plot_sine2(a,b,style):
x = np.linspace(0, 4*np.pi, 100)
plt.plot(x, np.sin(a*x + b),style)
#raise NotImplementedError()
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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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interact(plot_sine2,a = (0.0,5.0), b = (0.0,5.0), style={'dotted blue line' : 'b--', 'black circles' : 'ko', 'red triangles' : 'r^'})
#raise NotImplementedError()
Out[9]:
In [10]:
assert True # leave this for grading the plot_sine2 exercise