g.layers.updateScheme('title.font', FontStyle(size=10))
g.layers.updateScheme(
'axes.dependent.labeling.value.font',
FontStyle(size=8, align='right')
)
g.layers.updateScheme(
'axes.independent.labeling.category-labels.font',
FontStyle(size=8, align='center')
)
# Further stylization
g.layers.updateScheme('axes.independent.labeling.category-labels.margin-top', 8)
g.layers.updateScheme('axes.independent.ticks.major.enabled', False)
g.layers.updateScheme('axes.independent.ticks.minor.enabled', False)
# Instantiate the new graph
g.title = "y=x^2 and y=-x^2"
g.x_title = 'X Value'
g.y_title = 'Y Value'
# Generate the data sets
normal = g.Series('y as x^2').fromEquation(range(1,10), lambda x: x ** 2)
inverted = g.Series('y as -x^2').fromEquation(range(1, 10), lambda x: -x ** 2)
# Import the series
g.importSeries(normal, inverted)
# Render the graph
g.render('equation_example.png')
face='GillSans.ttf',
size=10,
align='center',
)
)
'''
# Further stylization
g.layers.updateScheme('axes.independent.labeling.category-labels.margin-top', 8)
g.layers.updateScheme('axes.independent.ticks.major.enabled', False)
g.layers.updateScheme('axes.independent.ticks.minor.enabled', False)
# Instantiate the new graph
g.title = "AVERAGE PLANT HEIGHTS"
g.x_title = 'Time'
g.y_title = 'Plant Height (cm)'
# Generate the data sets
control = g.Series('Control')
control.append('Week 1', 2.1)
control.append('Week 5', 5.7)
control.append('Week 10', 8.6)
control.append('Week 15', 10.5)
salt = g.Series('Road Salt')
salt.append('Week 1', 1.7)
salt.append('Week 5', 4.1)
salt.append('Week 10', 6.6)
salt.append('Week 15', 7.6)
g.importSeries(control, salt)
