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// Homework 1

// Hint: You may need SOME of these array iterator methods:
// .map(), .filter(), .forEach() , .some(), .every()
// Hint: You may also need SOME of the following methods:
// Number(), .reverse(), typeof(), .join()

// Let's say we have an array of prices named `prices`.
var prices = ['100', '125', '129', '37', '38', '75', '87', '94', '300', '301',
	'305', '50', '0.30', '0.01', '0.5', '5', '15', '24', '35', '1041', '1', '17',

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/*
READ ME
The bot responds to hearing the words "today", "yesterday", and "tomorrow" in any context.
In response, in proper English, it provides the date, month, and year.

It also provides a link to the Wikepedi page for that specific date and a
link to a website listing celebrities born on that date.

Then the bot asks for the user's favorite day of the week.
It listens (in any context) for the days of the week (Sunday, Monday, etc.).

jmailman

import numpy as np 

def curve1(in_array_ ):
    return (in_array_**3) + ((in_array_*.9-4)**2)

def curve2(in_array_ ):
    return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ )

jmailman

import numpy as np 

def curve1(in_array_ ):
    return (in_array_**3) + ((in_array_*.9-4)**2)

def curve2(in_array_ ):
    return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ )

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import matplotlib.pyplot as plt

in_array = np.linspace(-3, 4, 100) 
x = in_array
curve = np.piecewise(x, [x<.2, x >=.2], [lambda x: curve1(x), lambda x: curve2(x)])

y_axis_label = 'altitude (feet)'
x_axis_label = 'time (seconds from arrival at target)'
title = 'Trajectory of flight'
figure_proportions = (10, 5)

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custom_title = title + ' - smooth data' + ' - with linear interpolation'
plt.figure(figsize=figure_proportions ) 
plt.plot(in_array, curve, color = 'green', marker = "o") 
plt.title(custom_title) 
plt.xlabel(x_axis_label) 
plt.ylabel(y_axis_label)
plt.xlim(x_min, x_max )
plt.ylim(0, y_max )
plt.savefig('viz/'+custom_title+'.svg')
plt.show()

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custom_title = title + ' -  smooth data' + ' - linear interpolation only'
plt.figure(figsize=figure_proportions ) 
plt.plot(in_array, curve, color = 'green') 
plt.title(custom_title) 
plt.xlabel(x_axis_label) 
plt.ylabel(y_axis_label)
plt.xlim(x_min, x_max )
plt.ylim(0, y_max )
plt.savefig('viz/'+custom_title+'.svg')
plt.show()

jmailman

import numpy as np 
import matplotlib.pyplot as plt

in_array = np.linspace(-3, 4, 100) 
def curve1(in_array_ ):
    return (in_array_**3) + ((in_array_*.9-4)**2)
def curve2(in_array_ ):
    return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ )
    
x = in_array

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flux_range = 35
random_flux = np.random.rand(len(curve))*flux_range - flux_range/2
noisy_data =  curve + random_flux

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y_axis_label = 'altitude (feet)'
x_axis_label = 'time (seconds from arrival at target)'
title = 'Trajectory of flight'
custom_title = title + '  –  noisy data'
figure_proportions = (10, 5)
y_max = 100
x_min, x_max = -3.3, 4.3

plt.figure(figsize=figure_proportions)