def test_scatter():
x = np.random.rand(5)
y = np.random.rand(5)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(x,y, s=80)
set_fig_to_bw(fig)
plt.draw()
def test_scatter():
x = np.random.rand(5)
y = np.random.rand(5)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(x, y, s=80, c='r')
set_fig_to_bw(fig)
plt.draw()
def test_fill_between():
x = np.linspace(0, 1)
y1 = np.sin(4 * np.pi * x) * np.exp(-5 * x)
y2 = np.cos(4 * np.pi * x) * np.exp(-5 * x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(x, y1, y2)
set_fig_to_bw(fig, style=HATCHING)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(x, y1, y2, label='test')
set_fig_to_bw(fig, style=GREYSCALE)
plt.draw()
def test_fill_between():
x = np.linspace(0, 1)
y1 = np.sin(4 * np.pi * x) * np.exp(-5 * x)
y2 = np.cos(4 * np.pi * x) * np.exp(-5 * x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(x, y1, y2)
set_fig_to_bw(fig, style=HATCHING)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(x, y1, y2,label='test')
set_fig_to_bw(fig, style=GREYSCALE)
plt.draw()
def test_fig_legend():
fig = plt.figure()
ax = fig.add_subplot(111)
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x,y, label='a', c='b')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x,y, label='b', c='r')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x,y, label='c', c='k')
ax.legend()
set_fig_to_bw(fig, style=GREYSCALE)
plt.draw()
def test_fig_legend():
fig = plt.figure()
ax = fig.add_subplot(111)
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='a', c='b')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='b', c='r')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='c', c='k')
ax.legend()
set_fig_to_bw(fig, style=GREYSCALE)
plt.draw()
def test_lines():
x = np.linspace(0, 1)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, c='k')
set_fig_to_bw(fig, style=GREYSCALE)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, '-', c='k')
set_fig_to_bw(fig, style=GREYSCALE, line_style='black')
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, '-', c='k')
set_fig_to_bw(fig, style=GREYSCALE, line_style=None)
plt.draw()
def test_fig_legend():
fig = plt.figure()
ax = fig.add_subplot(111)
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='a', c='b')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='b', c='r')
x = np.random.rand(5)
y = np.random.rand(5)
ax.scatter(x, y, label='c', c='k')
ax.legend()
set_fig_to_bw(fig, style=GREYSCALE)
x = np.linspace(0, 1)
y = np.sin(4 * np.pi * x) * np.exp(-5 * x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y, '-', c='k', label='test')
ax.legend()
set_fig_to_bw(fig, line_style='black')
y1 = np.sin(4 * np.pi * x) * np.exp(-5 * x)
y2 = np.cos(4 * np.pi * x) * np.exp(-5 * x)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.fill_between(x, y1, y2, label='test')
ax.legend()
set_fig_to_bw(fig, style=GREYSCALE)
plt.draw()
def test_envelopes():
experiments, outcomes = utilities.load_eng_trans_data()
#testing titles
envelopes(experiments, outcomes, density=None, titles=None)
envelopes(experiments, outcomes, density=None, titles={})
envelopes(experiments,
outcomes,
density=None,
titles={'total fraction new technologies': 'a'})
plt.draw()
plt.close('all')
#testing ylabels
envelopes(experiments, outcomes, density=None, ylabels=None)
envelopes(experiments, outcomes, density=None, ylabels={})
envelopes(experiments,
outcomes,
density=None,
ylabels={'total fraction new technologies': 'a'})
plt.draw()
plt.close('all')
#no grouping no density
envelopes(experiments, outcomes, titles=None)
set_fig_to_bw(envelopes(experiments, outcomes, density=None)[0])
plt.draw()
plt.close('all')
#no grouping, with density
envelopes(experiments, outcomes, density=KDE)
envelopes(experiments, outcomes, density=HIST)
envelopes(experiments, outcomes, density=BOXPLOT)
envelopes(experiments, outcomes, density=VIOLIN)
set_fig_to_bw(envelopes(experiments, outcomes, density=VIOLIN)[0])
plt.draw()
plt.close('all')
# grouping and density kde
envelopes(experiments, outcomes, group_by='policy', density=VIOLIN)
envelopes(experiments, outcomes, group_by='policy', density=BOXPLOT)
envelopes(experiments,
outcomes,
group_by='policy',
density=KDE,
grouping_specifiers=['no policy', 'adaptive policy'])
envelopes(experiments,
outcomes,
group_by='policy',
density=BOXPLOT,
grouping_specifiers=['no policy', 'adaptive policy'])
envelopes(experiments, outcomes, group_by='policy', density=KDE)
plt.draw()
plt.close('all')
envelopes(experiments, outcomes, group_by='policy', density=VIOLIN)
envelopes(experiments, outcomes, group_by='policy', density=BOXPLOT)
envelopes(experiments, outcomes, group_by='policy', density=KDE)
envelopes(experiments, outcomes, group_by='policy', density=HIST)
plt.draw()
plt.close('all')
envelopes(experiments,
outcomes,
group_by='policy',
density=VIOLIN,
log=True)
envelopes(experiments,
outcomes,
group_by='policy',
density=BOXPLOT,
log=True)
envelopes(experiments, outcomes, group_by='policy', density=KDE, log=True)
envelopes(experiments, outcomes, group_by='policy', density=HIST, log=True)
plt.draw()
plt.close('all')
# grouping and density hist
envelopes(experiments, outcomes, group_by='policy', density=HIST)
envelopes(experiments, outcomes, group_by='policy', density=HIST)
set_fig_to_bw(
envelopes(experiments, outcomes, group_by='policy', density=KDE)[0])
# grouping and density
envelopes(experiments, outcomes, group_by='policy', density=KDE, fill=True)
set_fig_to_bw(
envelopes(experiments,
outcomes,
group_by='policy',
density=KDE,
fill=True)[0])
plt.draw()
plt.close('all')
def test_lines():
experiments, outcomes = utilities.load_eng_trans_data()
lines(experiments,
outcomes,
outcomes_to_show="total fraction new technologies",
experiments_to_show=np.arange(0, 600, 20),
group_by='policy',
grouping_specifiers='basic policy')
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 2),
group_by='policy',
density=HIST)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 2),
group_by='policy',
density=KDE)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 2),
group_by='policy',
density=BOXPLOT)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 2),
group_by='policy',
density=VIOLIN)
lines(
experiments,
outcomes,
group_by='index',
grouping_specifiers={"blaat": np.arange(1, 100, 2)},
density=KDE,
)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=KDE,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'])
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=HIST,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'])
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=BOXPLOT,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'])
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=VIOLIN,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'])
plt.draw()
plt.close('all')
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=KDE,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=HIST,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=BOXPLOT,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True)
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 30),
group_by='policy',
density=VIOLIN,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True)
plt.draw()
plt.close('all')
set_fig_to_bw(
lines(experiments,
outcomes,
experiments_to_show=np.arange(0, 600, 20),
group_by='policy',
density=KDE)[0])
new_outcomes = {}
for key, value in outcomes.items():
new_outcomes[key] = value[0:20, :]
experiments = experiments[0:20]
#no grouping, with density
set_fig_to_bw(lines(experiments, new_outcomes, density=KDE)[0])
set_fig_to_bw(lines(experiments, new_outcomes, density=HIST)[0])
set_fig_to_bw(lines(experiments, new_outcomes, density=BOXPLOT)[0])
set_fig_to_bw(lines(experiments, new_outcomes, density=VIOLIN)[0])
# grouping and density
set_fig_to_bw(
lines(experiments, new_outcomes, group_by='policy', density='kde')[0])
# grouping, density as histograms
# grouping and density
set_fig_to_bw(
lines(experiments,
new_outcomes,
group_by='policy',
density='hist',
legend=False)[0])
plt.draw()
plt.close('all')
def test_lines():
results = test_utilities.load_eng_trans_data()
lines(results,
outcomes_to_show="total fraction new technologies",
experiments_to_show=np.arange(0,600, 20),
group_by='policy',
grouping_specifiers = 'basic policy'
)
lines(results,
experiments_to_show=np.arange(0,600, 2),
group_by='policy',
density=HIST
)
lines(results,
experiments_to_show=np.arange(0,600, 2),
group_by='policy',
density=KDE
)
lines(results,
experiments_to_show=np.arange(0,600, 2),
group_by='policy',
density=BOXPLOT
)
lines(results,
experiments_to_show=np.arange(0,600, 2),
group_by='policy',
density=VIOLIN
)
lines(results,
group_by='index',
grouping_specifiers = {"blaat": np.arange(1, 100, 2)},
density=KDE,
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=KDE,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy']
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=HIST,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy']
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=BOXPLOT,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy']
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=VIOLIN,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy']
)
plt.draw()
plt.close('all')
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=KDE,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=HIST,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=BOXPLOT,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True
)
lines(results,
experiments_to_show=np.arange(0,600, 30),
group_by='policy',
density=VIOLIN,
show_envelope=True,
grouping_specifiers=['no policy', 'adaptive policy'],
log=True
)
plt.draw()
plt.close('all')
set_fig_to_bw(lines(results,
experiments_to_show=np.arange(0,600, 20),
group_by='policy',
density=KDE
)[0])
experiments, outcomes = results
new_outcomes = {}
for key, value in outcomes.items():
new_outcomes[key] = value[0:20, :]
experiments = experiments[0:20]
results = experiments, new_outcomes
#no grouping, with density
set_fig_to_bw(lines(results, density=KDE)[0])
set_fig_to_bw(lines(results, density=HIST)[0])
set_fig_to_bw(lines(results, density=BOXPLOT)[0])
set_fig_to_bw(lines(results, density=VIOLIN)[0])
# grouping and density
set_fig_to_bw(lines(results,
group_by='policy',
density='kde')[0])
# grouping, density as histograms
# grouping and density
set_fig_to_bw(lines(results,
group_by='policy',
density='hist',
legend=False)[0])
plt.draw()
plt.close('all')
def test_envelopes():
results = test_utilities.load_eng_trans_data()
#testing titles
envelopes(results,
density=None,
titles=None)
envelopes(results,
density=None,
titles={})
envelopes(results,
density=None,
titles={'total fraction new technologies': 'a',
'total fraction new technologies': 'b'})
plt.draw()
plt.close('all')
#testing ylabels
envelopes(results,
density=None,
ylabels=None)
envelopes(results,
density=None,
ylabels={})
envelopes(results,
density=None,
ylabels={'total fraction new technologies': 'a'})
plt.draw()
plt.close('all')
#no grouping no density
envelopes(results,
titles=None)
set_fig_to_bw(envelopes(results, density=None)[0])
plt.draw()
plt.close('all')
#no grouping, with density
envelopes(results, density=KDE)
envelopes(results, density=HIST)
envelopes(results, density=BOXPLOT)
envelopes(results, density=VIOLIN)
set_fig_to_bw(envelopes(results, density=VIOLIN)[0])
plt.draw()
plt.close('all')
# grouping and density kde
envelopes(results,
group_by='policy',
density=VIOLIN)
envelopes(results,
group_by='policy',
density=BOXPLOT)
envelopes(results,
group_by='policy',
density=KDE,
grouping_specifiers=['no policy', 'adaptive policy'])
envelopes(results,
group_by='policy',
density=BOXPLOT,
grouping_specifiers=['no policy', 'adaptive policy'])
envelopes(results,
group_by='policy',
density=KDE)
plt.draw()
plt.close('all')
envelopes(results,
group_by='policy',
density=VIOLIN)
envelopes(results,
group_by='policy',
density=BOXPLOT)
envelopes(results,
group_by='policy',
density=KDE)
envelopes(results,
group_by='policy',
density=HIST)
plt.draw()
plt.close('all')
envelopes(results,
group_by='policy',
density=VIOLIN,
log=True)
envelopes(results,
group_by='policy',
density=BOXPLOT,
log=True)
envelopes(results,
group_by='policy',
density=KDE,
log=True)
envelopes(results,
group_by='policy',
density=HIST,
log=True)
plt.draw()
plt.close('all')
# grouping and density hist
envelopes(results,
group_by='policy',
density=HIST)
envelopes(results,
group_by='policy',
density=HIST)
set_fig_to_bw(envelopes(results,
group_by='policy',
density=KDE)[0])
# grouping and density
envelopes(results,
group_by='policy',
density=KDE,
fill=True)
set_fig_to_bw(envelopes(results,
group_by='policy',
density=KDE,
fill=True)[0])
plt.draw()
plt.close('all')
