Wed May  1 09:42:24 2019

graphics_test
  Python version: 3.6.8
  Test the graphics examples.

album_bar:
  Python version: 3.6.8
  Read a data file of yearly music album sales.
  Plot the data as a bar chart.

  Graphics saved as "album_bar.png"

album_bar:
  Normal end of execution.

alphabet_binary_tree:
  Python version: 3.6.8
  Plot an alphabetizing binary tree.

// A binary tree
digraph {
	node [shape=box]
	1 [label="A-Z"]
	2 [label="A-M"]
	3 [label="N-Z"]
	4 [label="A-F"]
	5 [label="G-M"]
	6 [label="N-S"]
	7 [label="T-Z"]
	8 [label="A-C"]
	9 [label="D-F"]
	10 [label="G-I"]
	11 [label="J-M"]
	12 [label="N-P"]
	13 [label="Q-S"]
	14 [label="T-V"]
	15 [label="W-Z"]
	16 [label=A]
	17 [label="B-C"]
	18 [label=D]
	19 [label="E-F"]
	20 [label=G]
	21 [label="H-I"]
	22 [label="J-K"]
	23 [label="L-M"]
	24 [label=N]
	25 [label="O-P"]
	26 [label=Q]
	27 [label="R-S"]
	28 [label=T]
	29 [label="U-V"]
	30 [label="W-X"]
	31 [label="Y-Z"]
	32 [label=B]
	33 [label=C]
	34 [label=E]
	35 [label=F]
	36 [label=H]
	37 [label=I]
	38 [label=J]
	39 [label=K]
	40 [label=L]
	41 [label=M]
	42 [label=O]
	43 [label=P]
	44 [label=R]
	45 [label=S]
	46 [label=U]
	47 [label=V]
	48 [label=W]
	49 [label=X]
	50 [label=Y]
	51 [label=Z]
	1 -> 2
	1 -> 3
	2 -> 4
	2 -> 5
	3 -> 6
	3 -> 7
	4 -> 8
	4 -> 9
	5 -> 10
	5 -> 11
	6 -> 12
	6 -> 13
	7 -> 14
	7 -> 15
	8 -> 16
	8 -> 17
	9 -> 18
	9 -> 19
	10 -> 20
	10 -> 21
	11 -> 22
	11 -> 23
	12 -> 24
	12 -> 25
	13 -> 26
	13 -> 27
	14 -> 28
	14 -> 29
	15 -> 30
	15 -> 31
	17 -> 32
	17 -> 33
	19 -> 34
	19 -> 35
	21 -> 36
	21 -> 37
	22 -> 38
	22 -> 39
	23 -> 40
	23 -> 41
	25 -> 42
	25 -> 43
	27 -> 44
	27 -> 45
	29 -> 46
	29 -> 47
	30 -> 48
	30 -> 49
	31 -> 50
	31 -> 51
}

  Graphics saved as "alphabet_binary_tree.dot.png"

alphabet_binary_tree:
  Normal end of execution.

automobile_scatter:
  Python version: 3.6.8
  Read a data file of automobile prices and weights.
  Display the data as a scatter plot.

  Graphics saved as "automobile_scatter.png"

automobile_scatter
  Normal end of execution.

basketball_barh:
  Python version: 3.6.8
  Create a horizontal bar plot of basketball sponsorships.
  Graphics saved as "basketball_barh.png"

basketball_barh:
  Normal end of execution.

brownian_2d_plot:
  Python version: 3.6.8
  Plot Brownian motion in two dimensions.

  Graphics saved as "brownian_2d_plot.png"

brownian_2d_plot
  Normal end of execution.

bulgaria_plot:
  Python version: 3.6.8
  Plot the population of Bulgaria over time.

  Graphics saved as "bulgaria_plot.png"

bulgaria_plot
  Normal end of execution.

caffeine_scatter:
  Python version: 3.6.8
  Read a data file of cataract incidence versus caffeine intake.
  Display the data as a scatter plot.

  Graphics saved as "caffeine_scatter.png"

caffeine_scatter
  Normal end of execution.

circle_scatters:
  Python version: 3.6.8
  Make a scatterplot of two sets of data representing
  points in the unit square that are also in or not in
  the unit circle.

  Number of points inside the circle = 395
  Number outside                     = 105
  Total                              = 500
  Estimate for PI                    = 3

  Graphics saved as "circle_scatters.png"

circle_scatters
  Normal end of execution.

corkscrew_plot3d:
  Python version: 3.6.8
  Display a curve defined by points on a 3D curve.

  Data saved as "corkscrew_data.txt"

  Graphics saved as "corkscrew_plot3d.png"

corkscrew_plot3d:
  Normal end of execution.

corvette_scatter:
  Python version: 3.6.8
  Read a data file of resale prices for Corvettes.
  Display the data as a scatter plot.

  Graphics saved as "corvette_scatter.png"

corvette_scatter
  Normal end of execution.

drug_dosage_plots:
  Python version: 3.6.8
  Simulate the variation over time of the concentration
  of a medicinal drug in the bloodstream.
  Graphics saved as "drug_dosage.png"

drug_dosage_plots:
  Normal end of execution.

geyser_bar:
  Python version: 3.6.8
  Read a list of binned data representing waiting times between
  eruptions of the Old Faithful geyser.
  Plot the data as a bar chart.

  Graphics saved as "geyser_bar.png"

geyser_bar:
  Normal end of execution.

geyser_histogram:
  Python version: 3.6.8
  Read a long list of values.
  Create and plot a histogram.

  Graphics saved as "geyser_histogram.png"

geyser_histogram:
  Normal end of execution.

geyser_scatter:
  Python version: 3.6.8
  Read a data file of duration and pause lengths
  for the Old Faithful geyser.
  Display the data as a scatter plot.

  Graphics saved as "geyser_scatter.png"

geyser_scatter
  Normal end of execution.

grid_contour:
  Python version: 3.6.8
  Make a contour plot Z(X,Y) for a 41x41 table.

  Graphics saved as "grid_contour.png"

grid_contour:
  Normal end of execution.

grid_surface:
  Python version: 3.6.8
  Make a surface plot Z(X,Y) for a 41x41 table.

  Graphics saved as "grid_surface.png"

grid_surface:
  Normal end of execution.

iris_subplots:
  Python version: 3.6.8
  For each of 3 varieties of iris, a number of specimens
  have been collected.  For each specimen, measurements
  made of sepal length, sepal width, petal length and
  petal width.

  Create a 4x4 array of scatter plots that compare each
  pair of values.  Moreoever, use colors to distinguish the
  data belonging to each of the three varieties.

  Graphics saved as "iris_subplots.png"

iris_subplots
  Normal end of execution.

least_squares_plots:
  Python version: 3.6.8
  Compare 15 data points with the least squares line
    y = A * x + B
  which minimizes the root-mean-square error.
  The data is actually perturbed values of a quadratic
  formula, which is shown for comparison:
    y = 1/2 x^2 + 1

  Graphics saved as "least_squares_plots.png"

least_squares_plots
  Normal end of execution.

lissajous_plot:
  Python version: 3.6.8
  Make a plane curve by connecting a series of points.

  Graphics saved as "lissajous_plot.png"

lissajous_plot:
  Normal end of execution.

lynx_plot:
  Python version: 3.6.8
  Make a curve by connecting a series of data points.
  Mark the data points.

  Graphics saved as "lynx_plot.png"

lynx_plot
  Normal end of execution.

mario_fill:
  Python version: 3.6.8
  Draw a picture of Mario, using colored squares.

mario_fill:
  Normal end of execution.

mexican_hat_surface:
  Python version: 3.6.8
  Make a surface plot Z(X,Y) of volcano elevation data.

  Graphics saved as "mexican_hat_surface.png"

mexican_hat_surface:
  Normal end of execution.

network_graph:
  Python version: 3.6.8
  Plot a graph, of nodes connected by edges.

// A network
graph {
	1 [label=A]
	2 [label=B]
	3 [label=C]
	4 [label=D]
	5 [label=E]
	6 [label=F]
	7 [label=G]
	8 [label=H]
	9 [label=I]
	10 [label=J]
	11 [label=K]
	1 -- 1
	1 -- 2
	1 -- 3
	2 -- 4
	2 -- 5
	3 -- 4
	4 -- 5
	4 -- 6
	5 -- 6
	5 -- 7
	5 -- 8
	6 -- 7
	7 -- 8
	8 -- 9
	9 -- 10
	9 -- 11
	10 -- 11
}

  Graphics saved as "network_graph.dot.png"

network_graph:
  Normal end of execution.

nile_histogram:
  Python version: 3.6.8
  Make a histogram of yearly Nile flood levels.

  570 data records read from file.

  Graphics saved as "nile_histogram.png"

nile_histogram:
  Normal end of execution.

nile_plot:
  Python version: 3.6.8
  Make a line plot of yearly Nile flood levels.

  Graphics saved as "nile_plot.png"

nile_plot
  Normal end of execution.

ninety_histogram:
  Python version: 3.6.8
  Read a text file of 90 values, and create a histogram
  that will expose outliers as isolated values.
  90 data records read from file

  Graphics saved as "ninety_histogram.png"

ninety_histogram:
  Normal end of execution.

orbital_contour:
  Python version: 3.6.8
  Make a contour plot of a table of data Z(X,Y).

  Graphics saved as "orbital_contour.png"

orbital_contour:
  Normal end of execution.

predator_plot3d:
  Python version: 3.6.8
  Model the interaction between rabbits and foxes.

  Data saved as "predator_data.txt"

  Graphics saved as "predator_plot3d.png"

predator_plot3d
  Normal end of execution.

president_heights_bar:
  Python version: 3.6.8
  Create a bar plot of the height in inches of US presidents.

  Graphics saved as "president_heights_bar.png"

president_heights_bar:
  Normal end of execution.

president_heights_barh:
  Python version: 3.6.8
  Create a horizontal bar plot of the height in inches of US presidents.
  Graphics saved as "president_heights_barh.png"

president_heights_barh:
  Normal end of execution.

president_heights_histogram:
  Python version: 3.6.8
  Make a histogram of president heights.

  45 data records read from file.

  Graphics saved as "president_heights_histogram.png"

president_heights_histogram:
  Normal end of execution.

price_plots:
  Python version: 3.6.8
  Simulate the variation over time of the concentration
  of a medicinal drug in the bloodstream.
  Graphics saved as "price_plots.png"

price_plots:
  Normal end of execution.

random_scatter:
  Python version: 3.6.8
  Make a scatterplot of random XY data.

  Graphics saved as "random_scatter.png"

random_scatter
  Normal end of execution.

schoolyear_barh:
  Python version: 3.6.8
  Create a horizontal bar plot of the length of schoolyears.
  Graphics saved as "schoolyear_barh.png"

schoolyear_barh:
  Normal end of execution.

snowfall_histogram:
  Python version: 3.6.8
  Make a histogram of yearly snowfall flood levels.

  129 data records read from file.

  Graphics saved as "snowfall_histogram.png"

snowfall_histogram:
  Normal end of execution.

snowfall_plot:
  Python version: 3.6.8
  Make a line plot of snowfall data.

  Graphics saved as "snowfall_plot.png"

snowfall_plot
  Normal end of execution.

snowfall_smoothed_plot:
  Python version: 3.6.8
  Make a line plot of smoothed snowfall data.

  Graphics saved as "snowfall_smoothed_plot.png"

snowfall_smoothed_plot
  Normal end of execution.

temperature_scatter:
  Python version: 3.6.8
  Make a scatter plot of temperature reading locations.
  Graphics saved as "temperature_scatter.png"

temperature_scatter
  Normal end of execution.

temperature_scatter3d:
  Python version: 3.6.8
  Make a scatter plot of temperature reading locations.
  Graphics saved as "temperature_scatter3d.png"

temperature_scatter3d
  Normal end of execution.

track_bar:
  Python version: 3.6.8
  Read a text file containing durations
  representing results of an eye-tracking experiment.
  Make a bar plot of the results, with labeled bars.

  Graphics saved as "track_bar.png"

track_bar:
  Normal end of execution.

volcano_contour:
  Python version: 3.6.8
  Make a contour plot Z(X,Y) of volcano elevation data.
  Z data has 87 rows and 61 columns

  Graphics saved as "volcano_contour.png"

volcano_contour:
  Normal end of execution.

volcano_surface:
  Python version: 3.6.8
  Make a surface plot Z(X,Y) of volcano elevation data.
  Z data has 87 rows and 61 columns

  Graphics saved as "volcano_surface.png"

volcano_surface:
  Normal end of execution.

web_digraph:
  Python version: 3.6.8
  Plot a web of connections as a directed graph.

// A network
digraph {
	1 [label=Alpha]
	2 [label=Beta]
	3 [label=Gamma]
	4 [label=Delta]
	5 [label=Epsilon]
	6 [label=Zeta]
	1 -> 5 [label=0.1]
	1 -> 6 [label=0.9]
	2 -> 1 [label=0.3]
	2 -> 3 [label=0.4]
	2 -> 4 [label=0.3]
	3 -> 4 [label=0.6]
	3 -> 5 [label=0.4]
	4 -> 5 [label=1.0]
	5 -> 1 [label=0.2]
	5 -> 6 [label=0.8]
	6 -> 4 [label=1.0]
}

  Graphics saved as "web_digraph.dot.png"

web_digraph:
  Normal end of execution.

graphics_test:
  Normal end of execution.
Wed May  1 09:44:14 2019