Question

a, 6 pts) Over the course of 7 days, the average gas price across Massachusetts fluctuates; these prices are given in the gas_prices variable. Plot the prices with a line graph in matplotlib. (The x axis, day, ranges from 1 to 7.) ? [1] gas_prices = [4.80, 5.05, 4.90, 5.10, 5.20, 5.15, 5.30] b, 10pts) Plot the same graph again but with additional trendline in red of y = x/12 + 4.75, plotted as a line graph on top of the original points, which should now be a scatter plot. (Hint: You just need two points on the line to plot the line.) # TODO c, 6 pts) On a new graph, plot the function $y = 10e^x$ from 0 to 5. Use np.linspace() to get at least 100 samples, then plot it as a line graph. Note that you can call 10*numpy.exp(v) on a vector v to get all the y values, but you could instead calculate the y values in a loop if that feels more comfortable. [] # TODO - Problem 3: Matrices (10 points) 10pts) Find the product AB, where A is a 2x100 matrix with all ones in the first row and all zeros in the second row, and B is a 100x2 matrix of all 1's. Use np.concatenate, np.zeros, and np.ones to create the matrix A, and np.ones to create matrix B. (Recall an m x n matrix has m rows and n columns.) [] # TODO

          a, 6 pts) Over the course of 7 days, the average gas price across Massachusetts fluctuates; these prices are given in the gas_prices variable.
Plot the prices with a line graph in matplotlib. (The x axis, day, ranges from 1 to 7.)
? [1] gas_prices = [4.80, 5.05, 4.90, 5.10, 5.20, 5.15, 5.30]
b, 10pts) Plot the same graph again but with additional trendline in red of y = x/12 + 4.75, plotted as a line graph on top of the original points,
which should now be a scatter plot. (Hint: You just need two points on the line to plot the line.)
# TODO
c, 6 pts) On a new graph, plot the function $y = 10e^x$ from 0 to 5. Use np.linspace() to get at least 100 samples, then plot it as a line graph. Note
that you can call 10*numpy.exp(v) on a vector v to get all the y values, but you could instead calculate the y values in a loop if that feels more
comfortable.
[] # TODO
- Problem 3: Matrices (10 points)
10pts) Find the product AB, where A is a 2x100 matrix with all ones in the first row and all zeros in the second row, and B is a 100x2 matrix of all
1's. Use np.concatenate, np.zeros, and np.ones to create the matrix A, and np.ones to create matrix B. (Recall an m x n matrix has m rows and n
columns.)
[] # TODO

a, 6 pts) Over the course of 7 days, the average gas price across Massachusetts fluctuates; these prices are given in the gasprices variable.
Plot the prices with a line graph in matplotlib. (The x axis, day, ranges from 1 to 7.)
? [1] gasprices = [4.80, 5.05, 4.90, 5.10, 5.20, 5.15, 5.30]
b, 10pts) Plot the same graph again but with additional trendline in red of y = x/12 + 4.75, plotted as a line graph on top of the original points,
which should now be a scatter plot. (Hint: You just need two points on the line to plot the line.)
# TODO
c, 6 pts) On a new graph, plot the function y = 10e^x from 0 to 5. Use np.linspace() to get at least 100 samples, then plot it as a line graph. Note
that you can call 10*numpy.exp(v) on a vector v to get all the y values, but you could instead calculate the y values in a loop if that feels more
comfortable.
[] # TODO
- Problem 3: Matrices (10 points)
10pts) Find the product AB, where A is a 2x100 matrix with all ones in the first row and all zeros in the second row, and B is a 100x2 matrix of all
1's. Use np.concatenate, np.zeros, and np.ones to create the matrix A, and np.ones to create matrix B. (Recall an m x n matrix has m rows and n
columns.)
[] # TODO

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