alan-ho · May 5, 2018 10:44 · souvikb07 · May 5, 2018
diff --git a/bokeh_scatter_shapes.py b/bokeh_scatter_shapes.py
 # Create the figure: p
 p = figure(x_axis_label='fertility (children per woman)', y_axis_label='female_literacy (% population)')

 # Add a circle glyph to the figure p
 p.circle(fertility_latinamerica, female_literacy_latinamerica)

 # Add an x glyph to the figure p
 p.x(fertility_africa, female_literacy_africa)

 # Specify the name of the file
 output_file('fert_lit_separate.html')

 # Display the plot
 show(p)
diff --git a/female_literacy_africa b/female_literacy_africa
 [48.8,
 57.8,
 22.8,
 56.1,
 88.1,
 66.3,
 59.6,
 82.8,
 63.9,
 66.8,
 44.1,
 59.3,
 40.1,
 44.3,
 65.3,
 67.8,
 57.0,
 21.6,
 65.8,
 15.1,
 18.2,
 61.0,
 88.8,
 33.0,
 21.9,
 71.0,
 26.4,
 66.1,
 28.1,
 59.9,
 53.7,
 81.3,
 28.9,
 54.5,
 41.1,
 53.0,
 49.5,
 87.7,
 95.1,
 83.5,
 34.3,
 36.5,
 83.2,
 84.8,
 85.6,
 89.1,
 67.8,
 79.3,
 83.3]
diff --git a/female_literacy_latinamerica b/female_literacy_latinamerica
 [90.2,
 91.5,
 93.4,
 97.7,
 84.6,
 94.9,
 98.7,
 68.7,
 81.7,
 99.8,
 88.3,
 86.0,
 83.5,
 93.5,
 81.4,
 77.9,
 96.2,
 92.8,
 98.5,
 90.8,
 98.2,
 88.4,
 96.5,
 98.0]
diff --git a/fertility_africa b/fertility_africa
 [5.172999999999999,
 2.8160000000000003,
 5.211,
 5.9079999999999995,
 2.505,
 5.52,
 4.058,
 4.859,
 2.342,
 6.254,
 2.334,
 4.22,
 4.967,
 4.513999999999999,
 4.62,
 4.541,
 5.6370000000000005,
 5.841,
 5.455,
 7.069,
 5.405,
 5.737,
 3.363,
 4.89,
 6.081,
 1.841,
 5.329,
 5.33,
 5.377999999999999,
 4.45,
 4.166,
 2.642,
 5.165,
 4.5280000000000005,
 4.697,
 5.011,
 4.388,
 3.29,
 3.264,
 2.822,
 4.968999999999999,
 5.659,
 3.24,
 1.7919999999999998,
 3.45,
 5.2829999999999995,
 3.885,
 2.6630000000000003,
 3.718]
diff --git a/fertility_latinamerica b/fertility_latinamerica
 [1.827,
 2.156,
 2.404,
 2.2230000000000003,
 2.53,
 2.498,
 1.926,
 4.018,
 2.513,
 1.505,
 2.612,
 3.3710000000000004,
 3.19,
 2.977,
 2.295,
 2.6830000000000003,
 1.943,
 2.516,
 2.089,
 2.362,
 1.6469999999999998,
 2.373,
 3.3710000000000004,
 1.732]
	# Create the figure: p
	p = figure(x_axis_label='fertility (children per woman)', y_axis_label='female_literacy (% population)')

	# Add a circle glyph to the figure p
	p.circle(fertility_latinamerica, female_literacy_latinamerica)

	# Add an x glyph to the figure p
	p.x(fertility_africa, female_literacy_africa)

	# Specify the name of the file
	output_file('fert_lit_separate.html')

	# Display the plot
	show(p)
	[48.8,
	57.8,
	22.8,
	56.1,
	88.1,
	66.3,
	59.6,
	82.8,
	63.9,
	66.8,
	44.1,
	59.3,
	40.1,
	44.3,
	65.3,
	67.8,
	57.0,
	21.6,
	65.8,
	15.1,
	18.2,
	61.0,
	88.8,
	33.0,
	21.9,
	71.0,
	26.4,
	66.1,
	28.1,
	59.9,
	53.7,
	81.3,
	28.9,
	54.5,
	41.1,
	53.0,
	49.5,
	87.7,
	95.1,
	83.5,
	34.3,
	36.5,
	83.2,
	84.8,
	85.6,
	89.1,
	67.8,
	79.3,
	83.3]
	[90.2,
	91.5,
	93.4,
	97.7,
	84.6,
	94.9,
	98.7,
	68.7,
	81.7,
	99.8,
	88.3,
	86.0,
	83.5,
	93.5,
	81.4,
	77.9,
	96.2,
	92.8,
	98.5,
	90.8,
	98.2,
	88.4,
	96.5,
	98.0]
	[5.172999999999999,
	2.8160000000000003,
	5.211,
	5.9079999999999995,
	2.505,
	5.52,
	4.058,
	4.859,
	2.342,
	6.254,
	2.334,
	4.22,
	4.967,
	4.513999999999999,
	4.62,
	4.541,
	5.6370000000000005,
	5.841,
	5.455,
	7.069,
	5.405,
	5.737,
	3.363,
	4.89,
	6.081,
	1.841,
	5.329,
	5.33,
	5.377999999999999,
	4.45,
	4.166,
	2.642,
	5.165,
	4.5280000000000005,
	4.697,
	5.011,
	4.388,
	3.29,
	3.264,
	2.822,
	4.968999999999999,
	5.659,
	3.24,
	1.7919999999999998,
	3.45,
	5.2829999999999995,
	3.885,
	2.6630000000000003,
	3.718]
	[1.827,
	2.156,
	2.404,
	2.2230000000000003,
	2.53,
	2.498,
	1.926,
	4.018,
	2.513,
	1.505,
	2.612,
	3.3710000000000004,
	3.19,
	2.977,
	2.295,
	2.6830000000000003,
	1.943,
	2.516,
	2.089,
	2.362,
	1.6469999999999998,
	2.373,
	3.3710000000000004,
	1.732]