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##### Group 11 Lab 2 Grade: 15/20
# Group 11
# Math 119A Lab 2

# 1)
a=5
show(a)
b="5"
show(b)

# 2)
a=5+1
show(a)
b="5"+"1"
show(b)

$\displaystyle 5$
5
$\displaystyle 6$
51


# 3)
type(a)
type(b)

<type 'sage.rings.integer.Integer'> <type 'str'>
# 4)
type(0.2)
type(x^2)

<type 'sage.rings.real_mpfr.RealLiteral'> <type 'sage.symbolic.expression.Expression'>
# 5)
bacteria=[100,200,400,800] ##### Good. -HK

# 6)
bacteria

# 7)
type(bacteria) ##### Good. -HK

[100, 200, 400, 800] <type 'list'>
# 8)
bacteria[1]
bacteria[0]

200 100
# 9)
bacteria.append(1600) ##### Good. -HK

bacteria

[100, 200, 400, 800, 1600]
# 10)
bacteria.append(3200)

bacteria

[100, 200, 400, 800, 1600, 3200]
# 11)
kingdoms=["Bacteria","Protists","Plants","Fungi","Animals"]

kingdoms[0]

'Bacteria'
kingdoms.append("Archaea")
kingdoms.append("Archaea")
kingdoms

['Bacteria', 'Protists', 'Plants', 'Fungi', 'Animals', 'Archaea', 'Archaea']
# We got the results above because we ran kingdoms.append("Archaea") twice, so it added Archaea twice.


# 12)
g=[(1,3),(2,5),(3,7),(4,9),(5,11)]

list_plot(g)

# 13)
m=[(1,10),(2,7),(3,15),(4,25),(5,3)]
list_plot(m)

# 14)
Africa=[(62,20),(81,34),(75,18),(90,25),(67,31)]


list_plot(Africa, axes_labels=["hippo", "crocodiles"], color="red")

# 15)
days=[(1/24,100),(2/24,200),(3/24,400),(4/24,800),(5/24,1600)]
list_plot(days, axes_labels=["days","bacteria"], color= "purple")

# 16)
wt5_time = [0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72]
wt5_temp = [35.77,37.23,37.32,36.75,36.09,35.68,35.46,35.35,35.3,35.21,35.21,35.25,35.4,35.92,36.52,36.56,36.07,35.6,35.39,35.27,35.09,34.91,34.85,34.81,34.78,34.85,34.88,34.96,35.05,34.96,34.8,34.76,34.73,34.74,35.18,35.91,36.31,36.39,36.12,35.59,35.27,35.17,35,34.69,34.53,34.85,35.49,35.98,35.89,35.34,35,35.37,36.25,36.62,36.51,36.77,37.32,37.76,37.95,38.01,38.03,38.05,38.02,37.95,37.93,37.88,37.69,37.53,37.51,37.56,37.61,37.6,37.6,37.65,37.61,37.51,37.14,36.4,35.72,35.44,35.36,35.27,35.32,35.65,36.2,36.61,36.96,37.33,37.62,37.8,37.86,37.84,37.82,37.81,37.75,37.68,37.63,37.52,37.3,36.82,36.13,35.68,35.52,35.57,35.66,35.62,35.42,35.28,35.64,36.13,36.01,35.61,35.37,35.29,35.2,35.15,35.18,35.18,35.07,35.02,35.05,35,35.02,35.1,35.02,35.08,35.49,35.89,35.78,35.38,35.11,34.96,34.97,35.09,35.07,34.85,34.69,34.99,35.45,35.38,35.02,34.81,34.83,35.34,36.18,36.83,37.14,37.06,36.5,35.94,36.06,36.65,37.23,37.66,37.86,37.84,37.73,37.68,37.67,37.63,37.48,37.3,37.45,37.7,37.78,37.8,37.78,37.71,37.68,37.75,37.75,37.69,37.6,37.48,36.91,36.01,35.3,35.09,35.12,35.21,35.41,35.84,36.59,37.13,37.42,37.64,37.71,37.77,37.91,37.96,37.92,37.87,37.76,37.59,37.27,36.75,36.08,35.53,35.23,35.05,34.95,35.06,35.26,35.35,35.39,35.26,35.13,35.37,36.06,36.48,36.11,35.6,35.31,35.09,34.94,34.96,34.97,34.89,34.88,34.96,35.07,34.99,34.77,34.62,34.67,34.85,35.08,35.5,35.63,35.25,34.9,34.8,34.81,34.85,34.87,34.84,34.92,35.35,36.03,36.64,37.08,37.23,36.85,36.07,35.64,35.75,35.89,36.23,36.96,37.56,37.87,37.97,37.98,37.93,37.81,37.65,37.58,37.62,37.49,36.99,36.27,35.89,36.29,37.03,37.51,37.71,37.77,37.76,37.74,37.79,37.85,37.8,37.78,37.68,37.45,37.31,37.2,36.81,36.15,35.69,35.62,35.64,35.5,35.35,35.4,35.93,36.72,37.25,37.47]
wt5_heartrate = [331.47,410.62,463.32,480.56,473.31,459.9,452.98,454.75,461.56,470.87,484.46,505.84,534.55,562.83,578.89,574.82,552.25,520.8,491.4,470.81,460.3,457.16,456.96,456.11,453.75,451.48,451.06,452.29,453.44,453.55,454.49,461.06,478.03,505.51,536.27,558.56,563.27,549.66,525.12,499.9,481.87,475.01,480.79,498.93,525.28,549.9,560.69,552.6,533.76,520.3,523.28,540.41,560.34,573.63,578.49,578.02,574.9,570.02,564.09,558.59,554.81,552.92,552.29,552.27,552.39,552.24,551.57,550.63,550.19,550.88,552.73,555.04,556.38,554.57,547.06,532.59,512.76,491.6,473.03,459.32,452.36,455.58,472.62,503.18,540.53,574.07,595.23,601.76,597.62,589.4,582.49,579.13,578.75,579.31,578.58,574.91,567.41,556.08,541.99,527.21,514.02,503.74,496.21,490.82,488.54,492.6,505.66,525.36,543.11,549.4,541.17,523.96,506.83,495.72,491.37,491.71,494.49,497.69,498.8,495.44,487.4,478.19,473.99,480.22,497.57,520.13,537.52,540.95,529.09,508.91,490.2,479.05,476.1,479.64,488.66,501.97,515.35,521.91,517.48,506.06,498.71,505.08,525.26,549.53,565.84,568.35,560.79,553.23,554.81,567.03,582.81,592.37,590.95,581.33,569.71,560.1,552.83,546.82,542.14,540.11,541.58,545.37,548.68,549.15,546.78,543.85,543.01,545.34,549.85,554.01,554.52,548.03,532.35,508.52,481.79,459.69,448.17,449.67,464.37,491.41,526.74,561.1,583.36,587.92,578.53,564.48,553.59,548.63,548.51,551.01,554.27,556.99,557.78,554.81,546.51,532.93,516.34,499.85,485.46,473.6,464.31,458.29,456.62,460.16,469.8,486.63,509.82,533.63,548.04,545.19,526.28,501.47,481.99,472.29,469.38,467.99,465.25,461.21,457.09,454.15,453.41,455.56,461.25,471.6,487.59,507.33,524.65,532.4,528.34,516.93,504.55,494.12,485.64,481.11,486.37,506.26,538.25,571.75,593.88,596.72,580.97,555.18,532.03,522.91,532.44,556.03,582.79,602.15,609.44,606.79,599.74,593.11,588.75,585.99,583.12,578.26,569.53,556.26,541.45,532.31,535.95,552.76,574.56,590.46,594.96,590.47,583.31,578.29,576.74,577.61,579.03,579.39,577.66,573.25,565.19,551.64,530.99,504.17,475.89,452.9,440.63,441.7,457.24,487.39,528.77,572.1,605.2,619.96,616.62]

temp_list=zip(wt5_time, wt5_temp)

list_plot(temp_list, axes_labels=["time", "temp"], plotjoined=True, color= "turquoise")

list_plot?

File: /ext/sage/sage-8.8_1804/local/lib/python2.7/site-packages/sage/misc/decorators.py
Signature : list_plot(data, plotjoined=False, aspect_ratio='automatic', **kwds)
Docstring :
"list_plot" takes either a list of numbers, a list of tuples, a
numpy array, or a dictionary and plots the corresponding points.

If given a list of numbers (that is, not a list of tuples or
lists), "list_plot" forms a list of tuples "(i, x_i)" where "i"
goes from 0 to "len(data)-1" and "x_i" is the "i"-th data value,
and puts points at those tuple values.

"list_plot" will plot a list of complex numbers in the obvious way;
any numbers for which "CC()" makes sense will work.

"list_plot" also takes a list of tuples "(x_i, y_i)" where "x_i"
and "y_i" are the "i"-th values representing the "x"- and
"y"-values, respectively.

If given a dictionary, "list_plot" interprets the keys as x-values
and the values as y-values.

The "plotjoined=True" option tells "list_plot" to plot a line
joining all the data.

For other keyword options that the "list_plot" function can take,
refer to "plot()".

It is possible to pass empty dictionaries, lists, or tuples to
"list_plot". Doing so will plot nothing (returning an empty plot).

EXAMPLES:

sage: list_plot([i^2 for i in range(5)]) # long time
Graphics object consisting of 1 graphics primitive

Here are a bunch of random red points:

sage: r = [(random(),random()) for _ in range(20)]
sage: list_plot(r, color='red')
Graphics object consisting of 1 graphics primitive

This gives all the random points joined in a purple line:

sage: list_plot(r, plotjoined=True, color='purple')
Graphics object consisting of 1 graphics primitive

You can provide a numpy array.:

sage: import numpy
sage: list_plot(numpy.arange(10))
Graphics object consisting of 1 graphics primitive

sage: list_plot(numpy.array([[1,2], [2,3], [3,4]]))
Graphics object consisting of 1 graphics primitive

Plot a list of complex numbers:

sage: list_plot([1, I, pi + I/2, CC(.25, .25)])
Graphics object consisting of 1 graphics primitive

sage: list_plot([exp(I*theta) for theta in [0, .2..pi]])
Graphics object consisting of 1 graphics primitive

Note that if your list of complex numbers are all actually real,
they get plotted as real values, so this

sage: list_plot([CDF(1), CDF(1/2), CDF(1/3)])
Graphics object consisting of 1 graphics primitive

is the same as "list_plot([1, 1/2, 1/3])" -- it produces a plot of
the points (0,1), (1,1/2), and (2,1/3).

If you have separate lists of x values and y values which you want
to plot against each other, use the "zip" command to make a single
list whose entries are pairs of (x,y) values, and feed the result
into "list_plot":

sage: x_coords = [cos(t)^3 for t in srange(0, 2*pi, 0.02)]
sage: y_coords = [sin(t)^3 for t in srange(0, 2*pi, 0.02)]
sage: list_plot(list(zip(x_coords, y_coords)))
Graphics object consisting of 1 graphics primitive

If instead you try to pass the two lists as separate arguments, you
will get an error message:

sage: list_plot(x_coords, y_coords)
Traceback (most recent call last):
...
TypeError: The second argument 'plotjoined' should be boolean (True or False).  If you meant to plot two lists 'x' and 'y' against each other, use 'list_plot(list(zip(x,y)))'.

Dictionaries with numeric keys and values can be plotted:

sage: list_plot({22: 3365, 27: 3295, 37: 3135, 42: 3020, 47: 2880, 52: 2735, 57: 2550})
Graphics object consisting of 1 graphics primitive

Plotting in logarithmic scale is possible for 2D list plots. There
are two different syntaxes available:

sage: yl = [2**k for k in range(20)]
sage: list_plot(yl, scale='semilogy')  # long time  # log axis on vertical
Graphics object consisting of 1 graphics primitive

sage: list_plot_semilogy(yl)       # same
Graphics object consisting of 1 graphics primitive

Warning: If "plotjoined" is "False" then the axis that is in log
scale must have all points strictly positive. For instance, the
following plot will show no points in the figure since the points
in the horizontal axis starts from (0,1). Further, matplotlib
will display a user warning.

sage: list_plot(yl, scale='loglog')         # both axes are log
doctest:warning
...
Graphics object consisting of 1 graphics primitive

Instead this will work. We drop the point (0,1).:

sage: list_plot(list(zip(range(1,len(yl)), yl[1:])), scale='loglog') # long time
Graphics object consisting of 1 graphics primitive

We use "list_plot_loglog()" and plot in a different base.:

sage: list_plot_loglog(list(zip(range(1,len(yl)), yl[1:])), base=2) # long time
Graphics object consisting of 1 graphics primitive

We can also change the scale of the axes in the graphics just
before displaying:

sage: G = list_plot(yl) # long time
sage: G.show(scale=('semilogy', 2)) # long time

# 17) #number 15 is exponentially growing whereas number 16 is increasing and decreasing. Number 15 only has coordinates and number 16 shows a line without distinct coordinates, this is because for number 16 we said plot joined=true
#

##### Where is problem 18? (-3 points)

# 19)
print "one of my favorite drinks is coffee"


one of my favorite drinks is coffee
print "The Man On The Middle Floor is one of my favorite books"

The Man On The Middle Floor is one of my favorite books
print "Vienna is one of my favorite songs"

Vienna is one of my favorite songs
print "a cheeseburger is one of my favorite foods"

a cheeseburger is one of my favorite foods
print "water is one of my favorite beverages"

water is one of my favorite beverages

# 20)
for name in "SHOUQ":
print name ##### Good. -HK


S H O U Q
# 21)
for val in [15, 27, 39, 84 ]:
val^2


225 729 1521 7056
#22)
mult3=[]
for n in [1,2,3,4,5]:
mult3.append(3*n)
mult3

3 6 9 12 15
#23)
num=[]
for n in [0.1,0.2,0.3,0.4,0.5,0.6,0.7]:
num.append(n^2)
num


[0.0100000000000000] [0.0100000000000000, 0.0400000000000000] [0.0100000000000000, 0.0400000000000000, 0.0900000000000000] [0.0100000000000000, 0.0400000000000000, 0.0900000000000000, 0.160000000000000] [0.0100000000000000, 0.0400000000000000, 0.0900000000000000, 0.160000000000000, 0.250000000000000] [0.0100000000000000, 0.0400000000000000, 0.0900000000000000, 0.160000000000000, 0.250000000000000, 0.360000000000000] [0.0100000000000000, 0.0400000000000000, 0.0900000000000000, 0.160000000000000, 0.250000000000000, 0.360000000000000, 0.490000000000000]
numbers_=[0.0100000000000000,0.04000000000000000,0.09000000000000000,0.1600000000000000,0.2500000000000000,0.3600000000000000,0.4900000000000000]
plot(numbers_)

#24)
fun=[]
for n in [0,1,2,3,4,5]:
fun.append(n^2)
fun

[0] [0, 1] [0, 1, 4] [0, 1, 4, 9] [0, 1, 4, 9, 16] [0, 1, 4, 9, 16, 25]
plot(func^2)

#25)
wt5_time=[]
for n in[0,0.25,0.5,0.75,1,1.25,1.5,1.75,2,2.25,2.5,2.75,3,3.25,3.5,3.75,4,4.25,4.5,4.75,5,5.25,5.5,5.75,6,6.25,6.5,6.75,7,7.25,7.5,7.75,8,8.25,8.5,8.75,9,9.25,9.5,9.75,10,10.25,10.5,10.75,11,11.25,11.5,11.75,12,12.25,12.5,12.75,13,13.25,13.5,13.75,14,14.25,14.5,14.75,15,15.25,15.5,15.75,16,16.25,16.5,16.75,17,17.25,17.5,17.75,18,18.25,18.5,18.75,19,19.25,19.5,19.75,20,20.25,20.5,20.75,21,21.25,21.5,21.75,22,22.25,22.5,22.75,23,23.25,23.5,23.75,24,24.25,24.5,24.75,25,25.25,25.5,25.75,26,26.25,26.5,26.75,27,27.25,27.5,27.75,28,28.25,28.5,28.75,29,29.25,29.5,29.75,30,30.25,30.5,30.75,31,31.25,31.5,31.75,32,32.25,32.5,32.75,33,33.25,33.5,33.75,34,34.25,34.5,34.75,35,35.25,35.5,35.75,36,36.25,36.5,36.75,37,37.25,37.5,37.75,38,38.25,38.5,38.75,39,39.25,39.5,39.75,40,40.25,40.5,40.75,41,41.25,41.5,41.75,42,42.25,42.5,42.75,43,43.25,43.5,43.75,44,44.25,44.5,44.75,45,45.25,45.5,45.75,46,46.25,46.5,46.75,47,47.25,47.5,47.75,48,48.25,48.5,48.75,49,49.25,49.5,49.75,50,50.25,50.5,50.75,51,51.25,51.5,51.75,52,52.25,52.5,52.75,53,53.25,53.5,53.75,54,54.25,54.5,54.75,55,55.25,55.5,55.75,56,56.25,56.5,56.75,57,57.25,57.5,57.75,58,58.25,58.5,58.75,59,59.25,59.5,59.75,60,60.25,60.5,60.75,61,61.25,61.5,61.75,62,62.25,62.5,62.75,63,63.25,63.5,63.75,64,64.25,64.5,64.75,65,65.25,65.5,65.75,66,66.25,66.5,66.75,67,67.25,67.5,67.75,68,68.25,68.5,68.75,69,69.25,69.5,69.75,70,70.25,70.5,70.75,71,71.25,71.5,71.75,72]:
wt5_time.append(n*60)
wt5_time

[0] [0, 15.0000000000000] [0, 15.0000000000000, 30.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000, 225.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 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645.000000000000, 660, 675.000000000000, 690.000000000000, 705.000000000000, 720, 735.000000000000, 750.000000000000, 765.000000000000, 780, 795.000000000000, 810.000000000000, 825.000000000000, 840, 855.000000000000, 870.000000000000, 885.000000000000, 900, 915.000000000000, 930.000000000000, 945.000000000000, 960, 975.000000000000, 990.000000000000, 1005.00000000000, 1020, 1035.00000000000, 1050.00000000000, 1065.00000000000, 1080, 1095.00000000000, 1110.00000000000, 1125.00000000000, 1140, 1155.00000000000, 1170.00000000000, 1185.00000000000, 1200, 1215.00000000000, 1230.00000000000, 1245.00000000000, 1260, 1275.00000000000, 1290.00000000000, 1305.00000000000, 1320, 1335.00000000000, 1350.00000000000, 1365.00000000000, 1380, 1395.00000000000, 1410.00000000000, 1425.00000000000, 1440, 1455.00000000000, 1470.00000000000, 1485.00000000000, 1500, 1515.00000000000, 1530.00000000000, 1545.00000000000, 1560, 1575.00000000000, 1590.00000000000, 1605.00000000000, 1620, 1635.00000000000, 1650.00000000000, 1665.00000000000, 1680, 1695.00000000000, 1710.00000000000, 1725.00000000000, 1740, 1755.00000000000, 1770.00000000000, 1785.00000000000, 1800, 1815.00000000000, 1830.00000000000, 1845.00000000000, 1860, 1875.00000000000, 1890.00000000000, 1905.00000000000, 1920, 1935.00000000000, 1950.00000000000, 1965.00000000000, 1980, 1995.00000000000, 2010.00000000000, 2025.00000000000, 2040, 2055.00000000000, 2070.00000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000, 225.000000000000, 240, 255.000000000000, 270.000000000000, 285.000000000000, 300, 315.000000000000, 330.000000000000, 345.000000000000, 360, 375.000000000000, 390.000000000000, 405.000000000000, 420, 435.000000000000, 450.000000000000, 465.000000000000, 480, 495.000000000000, 510.000000000000, 525.000000000000, 540, 555.000000000000, 570.000000000000, 585.000000000000, 600, 615.000000000000, 630.000000000000, 645.000000000000, 660, 675.000000000000, 690.000000000000, 705.000000000000, 720, 735.000000000000, 750.000000000000, 765.000000000000, 780, 795.000000000000, 810.000000000000, 825.000000000000, 840, 855.000000000000, 870.000000000000, 885.000000000000, 900, 915.000000000000, 930.000000000000, 945.000000000000, 960, 975.000000000000, 990.000000000000, 1005.00000000000, 1020, 1035.00000000000, 1050.00000000000, 1065.00000000000, 1080, 1095.00000000000, 1110.00000000000, 1125.00000000000, 1140, 1155.00000000000, 1170.00000000000, 1185.00000000000, 1200, 1215.00000000000, 1230.00000000000, 1245.00000000000, 1260, 1275.00000000000, 1290.00000000000, 1305.00000000000, 1320, 1335.00000000000, 1350.00000000000, 1365.00000000000, 1380, 1395.00000000000, 1410.00000000000, 1425.00000000000, 1440, 1455.00000000000, 1470.00000000000, 1485.00000000000, 1500, 1515.00000000000, 1530.00000000000, 1545.00000000000, 1560, 1575.00000000000, 1590.00000000000, 1605.00000000000, 1620, 1635.00000000000, 1650.00000000000, 1665.00000000000, 1680, 1695.00000000000, 1710.00000000000, 1725.00000000000, 1740, 1755.00000000000, 1770.00000000000, 1785.00000000000, 1800, 1815.00000000000, 1830.00000000000, 1845.00000000000, 1860, 1875.00000000000, 1890.00000000000, 1905.00000000000, 1920, 1935.00000000000, 1950.00000000000, 1965.00000000000, 1980, 1995.00000000000, 2010.00000000000, 2025.00000000000, 2040, 2055.00000000000, 2070.00000000000, 2085.00000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000, 225.000000000000, 240, 255.000000000000, 270.000000000000, 285.000000000000, 300, 315.000000000000, 330.000000000000, 345.000000000000, 360, 375.000000000000, 390.000000000000, 405.000000000000, 420, 435.000000000000, 450.000000000000, 465.000000000000, 480, 495.000000000000, 510.000000000000, 525.000000000000, 540, 555.000000000000, 570.000000000000, 585.000000000000, 600, 615.000000000000, 630.000000000000, 645.000000000000, 660, 675.000000000000, 690.000000000000, 705.000000000000, 720, 735.000000000000, 750.000000000000, 765.000000000000, 780, 795.000000000000, 810.000000000000, 825.000000000000, 840, 855.000000000000, 870.000000000000, 885.000000000000, 900, 915.000000000000, 930.000000000000, 945.000000000000, 960, 975.000000000000, 990.000000000000, 1005.00000000000, 1020, 1035.00000000000, 1050.00000000000, 1065.00000000000, 1080, 1095.00000000000, 1110.00000000000, 1125.00000000000, 1140, 1155.00000000000, 1170.00000000000, 1185.00000000000, 1200, 1215.00000000000, 1230.00000000000, 1245.00000000000, 1260, 1275.00000000000, 1290.00000000000, 1305.00000000000, 1320, 1335.00000000000, 1350.00000000000, 1365.00000000000, 1380, 1395.00000000000, 1410.00000000000, 1425.00000000000, 1440, 1455.00000000000, 1470.00000000000, 1485.00000000000, 1500, 1515.00000000000, 1530.00000000000, 1545.00000000000, 1560, 1575.00000000000, 1590.00000000000, 1605.00000000000, 1620, 1635.00000000000, 1650.00000000000, 1665.00000000000, 1680, 1695.00000000000, 1710.00000000000, 1725.00000000000, 1740, 1755.00000000000, 1770.00000000000, 1785.00000000000, 1800, 1815.00000000000, 1830.00000000000, 1845.00000000000, 1860, 1875.00000000000, 1890.00000000000, 1905.00000000000, 1920, 1935.00000000000, 1950.00000000000, 1965.00000000000, 1980, 1995.00000000000, 2010.00000000000, 2025.00000000000, 2040, 2055.00000000000, 2070.00000000000, 2085.00000000000, 2100]
Output too long: 150354 -- MAX_OUTPUT (=150000) exceeded (type 'smc?' to learn how to raise this limit): attempting to terminate...




#26)
wt5_temp=[]
for n in [35.77,37.23,37.32,36.75,36.09,35.68,35.46,35.35,35.3,35.21,35.21,35.25,35.4,35.92,36.52,36.56,36.07,35.6,35.39,35.27,35.09,34.91,34.85,34.81,34.78,34.85,34.88,34.96,35.05,34.96,34.8,34.76,34.73,34.74,35.18,35.91,36.31,36.39,36.12,35.59,35.27,35.17,35,34.69,34.53,34.85,35.49,35.98,35.89,35.34,35,35.37,36.25,36.62,36.51,36.77,37.32,37.76,37.95,38.01,38.03,38.05,38.02,37.95,37.93,37.88,37.69,37.53,37.51,37.56,37.61,37.6,37.6,37.65,37.61,37.51,37.14,36.4,35.72,35.44,35.36,35.27,35.32,35.65,36.2,36.61,36.96,37.33,37.62,37.8,37.86,37.84,37.82,37.81,37.75,37.68,37.63,37.52,37.3,36.82,36.13,35.68,35.52,35.57,35.66,35.62,35.42,35.28,35.64,36.13,36.01,35.61,35.37,35.29,35.2,35.15,35.18,35.18,35.07,35.02,35.05,35,35.02,35.1,35.02,35.08,35.49,35.89,35.78,35.38,35.11,34.96,34.97,35.09,35.07,34.85,34.69,34.99,35.45,35.38,35.02,34.81,34.83,35.34,36.18,36.83,37.14,37.06,36.5,35.94,36.06,36.65,37.23,37.66,37.86,37.84,37.73,37.68,37.67,37.63,37.48,37.3,37.45,37.7,37.78,37.8,37.78,37.71,37.68,37.75,37.75,37.69,37.6,37.48,36.91,36.01,35.3,35.09,35.12,35.21,35.41,35.84,36.59,37.13,37.42,37.64,37.71,37.77,37.91,37.96,37.92,37.87,37.76,37.59,37.27,36.75,36.08,35.53,35.23,35.05,34.95,35.06,35.26,35.35,35.39,35.26,35.13,35.37,36.06,36.48,36.11,35.6,35.31,35.09,34.94,34.96,34.97,34.89,34.88,34.96,35.07,34.99,34.77,34.62,34.67,34.85,35.08,35.5,35.63,35.25,34.9,34.8,34.81,34.85,34.87,34.84,34.92,35.35,36.03,36.64,37.08,37.23,36.85,36.07,35.64,35.75,35.89,36.23,36.96,37.56,37.87,37.97,37.98,37.93,37.81,37.65,37.58,37.62,37.49,36.99,36.27,35.89,36.29,37.03,37.51,37.71,37.77,37.76,37.74,37.79,37.85,37.8,37.78,37.68,37.45,37.31,37.2,36.81,36.15,35.69,35.62,35.64,35.5,35.35,35.4,35.93,36.72,37.25,37.47]:
wt5_temp.append(n*9/5 +32)
wt5_temp

[96.3860000000000] [96.3860000000000, 99.0140000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000, 94.5680000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 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99.1760000000000, 99.9680000000000, 100.310000000000, 100.418000000000, 100.454000000000, 100.490000000000, 100.436000000000, 100.310000000000, 100.274000000000, 100.184000000000, 99.8420000000000, 99.5540000000000, 99.5180000000000, 99.6080000000000, 99.6980000000000, 99.6800000000000, 99.6800000000000, 99.7700000000000, 99.6980000000000, 99.5180000000000, 98.8520000000000, 97.5200000000000, 96.2960000000000, 95.7920000000000, 95.6480000000000, 95.4860000000000, 95.5760000000000, 96.1700000000000, 97.1600000000000, 97.8980000000000, 98.5280000000000, 99.1940000000000, 99.7160000000000, 100.040000000000, 100.148000000000, 100.112000000000, 100.076000000000, 100.058000000000, 99.9500000000000, 99.8240000000000, 99.7340000000000, 99.5360000000000, 99.1400000000000, 98.2760000000000, 97.0340000000000, 96.2240000000000, 95.9360000000000, 96.0260000000000, 96.1880000000000, 96.1160000000000, 95.7560000000000, 95.5040000000000, 96.1520000000000, 97.0340000000000, 96.8180000000000, 96.0980000000000, 95.6660000000000, 95.5220000000000, 95.3600000000000, 95.2700000000000, 95.3240000000000, 95.3240000000000, 95.1260000000000, 95.0360000000000, 95.0900000000000, 95, 95.0360000000000, 95.1800000000000, 95.0360000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000, 94.5680000000000, 94.5140000000000, 94.5320000000000, 95.3240000000000, 96.6380000000000, 97.3580000000000, 97.5020000000000, 97.0160000000000, 96.0620000000000, 95.4860000000000, 95.3060000000000, 95, 94.4420000000000, 94.1540000000000, 94.7300000000000, 95.8820000000000, 96.7640000000000, 96.6020000000000, 95.6120000000000, 95, 95.6660000000000, 97.2500000000000, 97.9160000000000, 97.7180000000000, 98.1860000000000, 99.1760000000000, 99.9680000000000, 100.310000000000, 100.418000000000, 100.454000000000, 100.490000000000, 100.436000000000, 100.310000000000, 100.274000000000, 100.184000000000, 99.8420000000000, 99.5540000000000, 99.5180000000000, 99.6080000000000, 99.6980000000000, 99.6800000000000, 99.6800000000000, 99.7700000000000, 99.6980000000000, 99.5180000000000, 98.8520000000000, 97.5200000000000, 96.2960000000000, 95.7920000000000, 95.6480000000000, 95.4860000000000, 95.5760000000000, 96.1700000000000, 97.1600000000000, 97.8980000000000, 98.5280000000000, 99.1940000000000, 99.7160000000000, 100.040000000000, 100.148000000000, 100.112000000000, 100.076000000000, 100.058000000000, 99.9500000000000, 99.8240000000000, 99.7340000000000, 99.5360000000000, 99.1400000000000, 98.2760000000000, 97.0340000000000, 96.2240000000000, 95.9360000000000, 96.0260000000000, 96.1880000000000, 96.1160000000000, 95.7560000000000, 95.5040000000000, 96.1520000000000, 97.0340000000000, 96.8180000000000, 96.0980000000000, 95.6660000000000, 95.5220000000000, 95.3600000000000, 95.2700000000000, 95.3240000000000, 95.3240000000000, 95.1260000000000, 95.0360000000000, 95.0900000000000, 95, 95.0360000000000, 95.1800000000000, 95.0360000000000, 95.1440000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000, 94.5680000000000, 94.5140000000000, 94.5320000000000, 95.3240000000000, 96.6380000000000, 97.3580000000000, 97.5020000000000, 97.0160000000000, 96.0620000000000, 95.4860000000000, 95.3060000000000, 95, 94.4420000000000, 94.1540000000000, 94.7300000000000, 95.8820000000000, 96.7640000000000, 96.6020000000000, 95.6120000000000, 95, 95.6660000000000, 97.2500000000000, 97.9160000000000, 97.7180000000000, 98.1860000000000, 99.1760000000000, 99.9680000000000, 100.310000000000, 100.418000000000, 100.454000000000, 100.490000000000, 100.436000000000, 100.310000000000, 100.274000000000, 100.184000000000, 99.8420000000000, 99.5540000000000, 99.5180000000000, 99.6080000000000, 99.6980000000000, 99.6800000000000, 99.6800000000000, 99.7700000000000, 99.6980000000000, 99.5180000000000, 98.8520000000000, 97.5200000000000, 96.2960000000000, 95.7920000000000, 95.6480000000000, 95.4860000000000, 95.5760000000000, 96.1700000000000, 97.1600000000000, 97.8980000000000, 98.5280000000000, 99.1940000000000, 99.7160000000000, 100.040000000000, 100.148000000000, 100.112000000000, 100.076000000000, 100.058000000000, 99.9500000000000, 99.8240000000000, 99.7340000000000, 99.5360000000000, 99.1400000000000, 98.2760000000000, 97.0340000000000, 96.2240000000000, 95.9360000000000, 96.0260000000000, 96.1880000000000, 96.1160000000000, 95.7560000000000, 95.5040000000000, 96.1520000000000, 97.0340000000000, 96.8180000000000, 96.0980000000000, 95.6660000000000, 95.5220000000000, 95.3600000000000, 95.2700000000000, 95.3240000000000, 95.3240000000000, 95.1260000000000, 95.0360000000000, 95.0900000000000, 95, 95.0360000000000, 95.1800000000000, 95.0360000000000, 95.1440000000000, 95.8820000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000, 94.5680000000000, 94.5140000000000, 94.5320000000000, 95.3240000000000, 96.6380000000000, 97.3580000000000, 97.5020000000000, 97.0160000000000, 96.0620000000000, 95.4860000000000, 95.3060000000000, 95, 94.4420000000000, 94.1540000000000, 94.7300000000000, 95.8820000000000, 96.7640000000000, 96.6020000000000, 95.6120000000000, 95, 95.6660000000000, 97.2500000000000, 97.9160000000000, 97.7180000000000, 98.1860000000000, 99.1760000000000, 99.9680000000000, 100.310000000000, 100.418000000000, 100.454000000000, 100.490000000000, 100.436000000000, 100.310000000000, 100.274000000000, 100.184000000000, 99.8420000000000, 99.5540000000000, 99.5180000000000, 99.6080000000000, 99.6980000000000, 99.6800000000000, 99.6800000000000, 99.7700000000000, 99.6980000000000, 99.5180000000000, 98.8520000000000, 97.5200000000000, 96.2960000000000, 95.7920000000000, 95.6480000000000, 95.4860000000000, 95.5760000000000, 96.1700000000000, 97.1600000000000, 97.8980000000000, 98.5280000000000, 99.1940000000000, 99.7160000000000, 100.040000000000, 100.148000000000, 100.112000000000, 100.076000000000, 100.058000000000, 99.9500000000000, 99.8240000000000, 99.7340000000000, 99.5360000000000, 99.1400000000000, 98.2760000000000, 97.0340000000000, 96.2240000000000, 95.9360000000000, 96.0260000000000, 96.1880000000000, 96.1160000000000, 95.7560000000000, 95.5040000000000, 96.1520000000000, 97.0340000000000, 96.8180000000000, 96.0980000000000, 95.6660000000000, 95.5220000000000, 95.3600000000000, 95.2700000000000, 95.3240000000000, 95.3240000000000, 95.1260000000000, 95.0360000000000, 95.0900000000000, 95, 95.0360000000000, 95.1800000000000, 95.0360000000000, 95.1440000000000, 95.8820000000000, 96.6020000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000, 96.6560000000000, 97.7360000000000, 97.8080000000000, 96.9260000000000, 96.0800000000000, 95.7020000000000, 95.4860000000000, 95.1620000000000, 94.8380000000000, 94.7300000000000, 94.6580000000000, 94.6040000000000, 94.7300000000000, 94.7840000000000, 94.9280000000000, 95.0900000000000, 94.9280000000000, 94.6400000000000, 94.5680000000000, 94.5140000000000, 94.5320000000000, 95.3240000000000, 96.6380000000000, 97.3580000000000, 97.5020000000000, 97.0160000000000, 96.0620000000000, 95.4860000000000, 95.3060000000000, 95, 94.4420000000000, 94.1540000000000, 94.7300000000000, 95.8820000000000, 96.7640000000000, 96.6020000000000, 95.6120000000000, 95, 95.6660000000000, 97.2500000000000, 97.9160000000000, 97.7180000000000, 98.1860000000000, 99.1760000000000, 99.9680000000000, 100.310000000000, 100.418000000000, 100.454000000000, 100.490000000000, 100.436000000000, 100.310000000000, 100.274000000000, 100.184000000000, 99.8420000000000, 99.5540000000000, 99.5180000000000, 99.6080000000000, 99.6980000000000, 99.6800000000000, 99.6800000000000, 99.7700000000000, 99.6980000000000, 99.5180000000000, 98.8520000000000, 97.5200000000000, 96.2960000000000, 95.7920000000000, 95.6480000000000, 95.4860000000000, 95.5760000000000, 96.1700000000000, 97.1600000000000, 97.8980000000000, 98.5280000000000, 99.1940000000000, 99.7160000000000, 100.040000000000, 100.148000000000, 100.112000000000, 100.076000000000, 100.058000000000, 99.9500000000000, 99.8240000000000, 99.7340000000000, 99.5360000000000, 99.1400000000000, 98.2760000000000, 97.0340000000000, 96.2240000000000, 95.9360000000000, 96.0260000000000, 96.1880000000000, 96.1160000000000, 95.7560000000000, 95.5040000000000, 96.1520000000000, 97.0340000000000, 96.8180000000000, 96.0980000000000, 95.6660000000000, 95.5220000000000, 95.3600000000000, 95.2700000000000, 95.3240000000000, 95.3240000000000, 95.1260000000000, 95.0360000000000, 95.0900000000000, 95, 95.0360000000000, 95.1800000000000, 95.0360000000000, 95.1440000000000, 95.8820000000000, 96.6020000000000, 96.4040000000000]
Output too long: 151664 -- MAX_OUTPUT (=150000) exceeded (type 'smc?' to learn how to raise this limit): attempting to terminate...
#27)
wt5_time2=[0]
[0, 15.0000000000000]
[0, 15.0000000000000, 30.0000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000]
[0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000, 225.000000000000]
wt5_temp2=[96.3860000000000]
[96.3860000000000, 99.0140000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000]
temp_list=zip(wt5_time2, wt5_temp2)
list_plot(temp_list, axes_labels=["time","temperture"],plotjoined=True,color="green")

[0, 15.0000000000000] [0, 15.0000000000000, 30.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000] [0, 15.0000000000000, 30.0000000000000, 45.0000000000000, 60, 75.0000000000000, 90.0000000000000, 105.000000000000, 120, 135.000000000000, 150.000000000000, 165.000000000000, 180, 195.000000000000, 210.000000000000, 225.000000000000] [96.3860000000000, 99.0140000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000]
#28)
wt5_temp2=[96.3860000000000]
[96.3860000000000, 99.0140000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000]
[96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000]
wt5_heartrate=[331.47,410.62,463.32,480.56,473.31,459.9,452.98,454.75,461.56,470.87,484.46,505.84,534.55,562.83,578.89,574.82,552.25,520.8,491.4,470.81,460.3,457.16,456.96,456.11,453.75,451.48,451.06,452.29,453.44,453.55,454.49,461.06,478.03,505.51,536.27,558.56,563.27,549.66,525.12,499.9,481.87,475.01,480.79,498.93,525.28,549.9,560.69,552.6,533.76,520.3,523.28,540.41,560.34,573.63,578.49,578.02,574.9,570.02,564.09,558.59,554.81,552.92,552.29,552.27,552.39,552.24,551.57,550.63,550.19,550.88,552.73,555.04,556.38,554.57,547.06,532.59,512.76,491.6,473.03,459.32,452.36,455.58,472.62,503.18,540.53,574.07,595.23,601.76,597.62,589.4,582.49,579.13,578.75,579.31,578.58,574.91,567.41,556.08,541.99,527.21,514.02,503.74,496.21,490.82,488.54,492.6,505.66,525.36,543.11,549.4,541.17,523.96,506.83,495.72,491.37,491.71,494.49,497.69,498.8,495.44,487.4,478.19,473.99,480.22,497.57,520.13,537.52,540.95,529.09,508.91,490.2,479.05,476.1,479.64,488.66,501.97,515.35,521.91,517.48,506.06,498.71,505.08,525.26,549.53,565.84,568.35,560.79,553.23,554.81,567.03,582.81,592.37,590.95,581.33,569.71,560.1,552.83,546.82,542.14,540.11,541.58,545.37,548.68,549.15,546.78,543.85,543.01,545.34,549.85,554.01,554.52,548.03,532.35,508.52,481.79,459.69,448.17,449.67,464.37,491.41,526.74,561.1,583.36,587.92,578.53,564.48,553.59,548.63,548.51,551.01,554.27,556.99,557.78,554.81,546.51,532.93,516.34,499.85,485.46,473.6,464.31,458.29,456.62,460.16,469.8,486.63,509.82,533.63,548.04,545.19,526.28,501.47,481.99,472.29,469.38,467.99,465.25,461.21,457.09,454.15,453.41,455.56,461.25,471.6,487.59,507.33,524.65,532.4,528.34,516.93,504.55,494.12,485.64,481.11,486.37,506.26,538.25,571.75,593.88,596.72,580.97,555.18,532.03,522.91,532.44,556.03,582.79,602.15,609.44,606.79,599.74,593.11,588.75,585.99,583.12,578.26,569.53,556.26,541.45,532.31,535.95,552.76,574.56,590.46,594.96,590.47,583.31,578.29,576.74,577.61,579.03,579.39,577.66,573.25,565.19,551.64,530.99,504.17,475.89,452.9,440.63,441.7,457.24,487.39,528.77,572.1,605.2,619.96,616.62]

temp_list=zip(wt5_temp2,wt5_heartrate)
list_plot(temp_list,axes_labels=["temperature","heartrate"],plotjoined=True,color="yellow")

[96.3860000000000, 99.0140000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000] [96.3860000000000, 99.0140000000000, 99.1760000000000, 98.1500000000000, 96.9620000000000, 96.2240000000000, 95.8280000000000, 95.6300000000000, 95.5400000000000, 95.3780000000000, 95.3780000000000, 95.4500000000000, 95.7200000000000]


#29)
plots = [] #Set up empty list to hold plots
slopes = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] #Make a list ofslopes
for m in slopes:  #For each m in slope, create plot, add to list
p=plot(m*x, (x,-10,10), ymin=-50, ymax=50, color="green")
plots.append(p)
a=animate(plots) #Create the animation
show(a) #Necessary to display the animatio

#30)
plots = [] #Set up empty list to hold plots
slopes = [-3, -2.5, -2, -1.5, -1, -.5, 0, .5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5] #Make a list ofslopes
for m in slopes:  #For each m in slope, create plot, add to list
p=plot(m*x, (x,-10,10), ymin=-50, ymax=50, color="green")
plots.append(p)
a=animate(plots) #Create the animation
show(a) #Necessary to display the animation




#31)
plots = [] #Set up empty list to hold plots
slopes = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] #Make a list ofslopes
for m in slopes:  #For each m in slope, create plot, add to list
p=plot(m*x, (x,-10,10), ymin=-5, ymax=5, color="green")
plots.append(p)
a=animate(plots) #Create the animation
show(a) #Necessary to display the animation

##### Several things are going wrong here. The reason you are getting so many plots instead of just one is that you are animating and showing the plot in the loop (these lines are indented when they shouldn't be).That means that every time you run through the loop, the graph shows up again. Moreover, you are not changing the y-intercept in the loop. Exercise 31 asks you to keep the slope at 1 while changing the y-intercept. It should look like:
plots = [] #Set up empty list to hold plots
y_ints = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] #Make a list of y-intercepts
for b in y_ints: #For each b in y_ints, create plot, add to list
p=plot(1*x+b, (x,-10,10), ymin=-50, ymax=50, color="green")
plots.append(p)
a=animate(plots) #Create the animation
show(a) #Necessary to display the animation
##### (-2 points) -HK