def test_h_and_v_bars():
fig, ax = plt.subplots()
ax.bar(left=D['multi_left'],
height=D['multi_height'],
width=10,
color='green',
alpha=.5)
# changing height 10 -> 14 because ValueError if bargap not in [0, 1]
ax.barh(bottom=D['multi_bottom'],
width=D['multi_width'],
height=14,
color='red',
alpha=.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict,
H_AND_V_BARS['data'][data_no],
ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
H_AND_V_BARS['layout'])
assert equivalent, msg
def test_h_and_v_bars():
fig, ax = plt.subplots()
ax.bar(
left=D["multi_left"],
height=D["multi_height"],
width=10,
color="green",
alpha=0.5,
)
# changing height 10 -> 14 because ValueError if bargap not in [0, 1]
ax.barh(
bottom=D["multi_bottom"],
width=D["multi_width"],
height=14,
color="red",
alpha=0.5,
)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
H_AND_V_BARS["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
H_AND_V_BARS["layout"])
assert equivalent, msg
def test_complicated_line():
fig, ax = plt.subplots()
ax.plot(D["x1"], D["y1"], "ro", markersize=10, alpha=0.5, label="one")
ax.plot(D["x1"], D["y1"], "-b", linewidth=2, alpha=0.7, label="two")
ax.plot(
D["x2"],
D["y2"],
"b+",
markeredgewidth=2,
markersize=10,
alpha=0.6,
label="three",
)
ax.plot(D["x2"], D["y2"], "--r", linewidth=2, alpha=0.8, label="four")
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
COMPLICATED_LINE["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
COMPLICATED_LINE["layout"])
assert equivalent, msg
def test_simple_scatter():
fig, ax = plt.subplots()
ax.scatter(D["x1"], D["y1"])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
equivalent, msg = compare_dict(data_dict, SIMPLE_SCATTER["data"][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"], SIMPLE_SCATTER["layout"])
assert equivalent, msg
def test_simple_line():
fig, ax = plt.subplots()
ax.plot(D['x1'], D['y1'], label='simple')
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict, SIMPLE_LINE['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
SIMPLE_LINE['layout'])
assert equivalent, msg
def test_double_scatter():
fig, ax = plt.subplots()
ax.scatter(D["x1"], D["y1"], color="red", s=121, marker="^", alpha=0.5)
ax.scatter(D["x2"], D["y2"], color="purple", s=64, marker="s", alpha=0.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
equivalent, msg = compare_dict(data_dict, DOUBLE_SCATTER["data"][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"], DOUBLE_SCATTER["layout"])
assert equivalent, msg
def test_horizontal_bar():
fig, ax = plt.subplots()
ax.barh(bottom=D['bottom'], width=D['width'])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
HORIZONTAL_BAR['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
HORIZONTAL_BAR['layout'])
assert equivalent, msg
def test_vertical_bar():
fig, ax = plt.subplots()
ax.bar(left=D['left'], height=D['height'])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
VERTICAL_BAR['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
VERTICAL_BAR['layout'])
assert equivalent, msg
def test_simple_scatter():
fig, ax = plt.subplots()
ax.scatter(D['x1'], D['y1'])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
SIMPLE_SCATTER['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
SIMPLE_SCATTER['layout'])
assert equivalent, msg
def test_double_scatter():
fig, ax = plt.subplots()
ax.scatter(D['x1'], D['y1'], color='red', s=121, marker='^', alpha=0.5)
ax.scatter(D['x2'], D['y2'], color='purple', s=64, marker='s', alpha=0.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
DOUBLE_SCATTER['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
DOUBLE_SCATTER['layout'])
assert equivalent, msg
def test_even_linear_scale():
fig, ax = plt.subplots()
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [10, 3, 100, 6, 45, 4, 80, 45, 3, 59]
ax.plot(x, y)
_ = ax.set_xticks(list(range(0, 20, 3)))
_ = ax.set_yticks(list(range(0, 200, 13)))
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
equivalent, msg = compare_dict(data_dict, EVEN_LINEAR_SCALE["data"][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"], EVEN_LINEAR_SCALE["layout"])
assert equivalent, msg
def test_simple_line():
fig, ax = plt.subplots()
ax.plot(D["x1"], D["y1"], label="simple")
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(
data_dict, SIMPLE_LINE["data"][data_no], ignore=["uid"]
)
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"], SIMPLE_LINE["layout"])
assert equivalent, msg
def test_h_and_v_bars():
fig, ax = plt.subplots()
ax.bar(left=D['multi_left'], height=D['multi_height'],
width=10, color='green', alpha=.5)
ax.barh(bottom=D['multi_bottom'], width=D['multi_width'],
height=10, color='red', alpha=.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
H_AND_V_BARS['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
H_AND_V_BARS['layout'])
assert equivalent, msg
def test_even_linear_scale():
fig, ax = plt.subplots()
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [10, 3, 100, 6, 45, 4, 80, 45, 3, 59]
ax.plot(x, y)
_ = ax.set_xticks(list(range(0, 20, 3)))
_ = ax.set_yticks(list(range(0, 200, 13)))
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
EVEN_LINEAR_SCALE['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
EVEN_LINEAR_SCALE['layout'])
assert equivalent, msg
def test_complicated_line():
fig, ax = plt.subplots()
ax.plot(D['x1'], D['y1'], 'ro', markersize=10, alpha=.5, label='one')
ax.plot(D['x1'], D['y1'], '-b', linewidth=2, alpha=.7, label='two')
ax.plot(D['x2'], D['y2'], 'b+', markeredgewidth=2,
markersize=10, alpha=.6, label='three')
ax.plot(D['x2'], D['y2'], '--r', linewidth=2, alpha=.8, label='four')
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
COMPLICATED_LINE['data'][data_no])
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
COMPLICATED_LINE['layout'])
assert equivalent, msg
def test_horizontal_bar():
fig, ax = plt.subplots()
ax.barh(bottom=D["bottom"], width=D["width"])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
HORIZONTAL_BAR["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
HORIZONTAL_BAR["layout"])
assert equivalent, msg
def test_vertical_bar():
fig, ax = plt.subplots()
ax.bar(left=D["left"], height=D["height"])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
VERTICAL_BAR["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
VERTICAL_BAR["layout"])
assert equivalent, msg
def test_h_and_v_bars():
fig, ax = plt.subplots()
ax.bar(left=D['multi_left'], height=D['multi_height'],
width=10, color='green', alpha=.5)
# changing height 10 -> 14 because ValueError if bargap not in [0, 1]
ax.barh(bottom=D['multi_bottom'], width=D['multi_width'],
height=14, color='red', alpha=.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict, H_AND_V_BARS['data'][data_no], ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
H_AND_V_BARS['layout'])
assert equivalent, msg
def test_even_linear_scale():
fig, ax = plt.subplots()
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [10, 3, 100, 6, 45, 4, 80, 45, 3, 59]
ax.plot(x, y)
_ = ax.set_xticks(list(range(0, 20, 3)), True)
_ = ax.set_yticks(list(range(0, 200, 13)), True)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
# equivalent, msg = compare_dict(data_dict.to_plotly_json(),
# EVEN_LINEAR_SCALE['data'][data_no].to_plotly_json())
# assert equivalent, msg
d1, d2 = strip_dict_params(data_dict, EVEN_LINEAR_SCALE['data'][data_no], ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
EVEN_LINEAR_SCALE['layout'])
assert equivalent, msg
def test_annotations():
fig, ax = plt.subplots()
ax.plot([1, 2, 3], 'b-')
ax.plot([3, 2, 1], 'b-')
ax.text(0.001, 0.999,
'top-left', transform=ax.transAxes, va='top', ha='left')
ax.text(0.001, 0.001,
'bottom-left', transform=ax.transAxes, va='baseline', ha='left')
ax.text(0.999, 0.999,
'top-right', transform=ax.transAxes, va='top', ha='right')
ax.text(0.999, 0.001,
'bottom-right', transform=ax.transAxes, va='baseline', ha='right')
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
equivalent, msg = compare_dict(data_dict,
ANNOTATIONS['data'][data_no])
assert equivalent, msg
for no, note in enumerate(renderer.plotly_fig['layout']['annotations']):
equivalent, msg = compare_dict(note,
ANNOTATIONS['layout']['annotations'][no])
assert equivalent, msg
def test_annotations():
fig, ax = plt.subplots()
ax.plot([1, 2, 3], 'b-')
ax.plot([3, 2, 1], 'b-')
ax.text(0.001, 0.999,
'top-left', transform=ax.transAxes, va='top', ha='left')
ax.text(0.001, 0.001,
'bottom-left', transform=ax.transAxes, va='baseline', ha='left')
ax.text(0.999, 0.999,
'top-right', transform=ax.transAxes, va='top', ha='right')
ax.text(0.999, 0.001,
'bottom-right', transform=ax.transAxes, va='baseline', ha='right')
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict, ANNOTATIONS['data'][data_no], ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
for no, note in enumerate(renderer.plotly_fig['layout']['annotations']):
equivalent, msg = compare_dict(note,
ANNOTATIONS['layout']['annotations'][no])
assert equivalent, msg
def test_even_linear_scale():
fig, ax = plt.subplots()
x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [10, 3, 100, 6, 45, 4, 80, 45, 3, 59]
ax.plot(x, y)
_ = ax.set_xticks(list(range(0, 20, 3)), True)
_ = ax.set_yticks(list(range(0, 200, 13)), True)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
# equivalent, msg = compare_dict(data_dict.to_plotly_json(),
# EVEN_LINEAR_SCALE['data'][data_no].to_plotly_json())
# assert equivalent, msg
d1, d2 = strip_dict_params(data_dict,
EVEN_LINEAR_SCALE['data'][data_no],
ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
EVEN_LINEAR_SCALE['layout'])
assert equivalent, msg
def test_annotations():
fig, ax = plt.subplots()
ax.plot([1, 2, 3], "b-")
ax.plot([3, 2, 1], "b-")
ax.text(0.001,
0.999,
"top-left",
transform=ax.transAxes,
va="top",
ha="left")
ax.text(0.001,
0.001,
"bottom-left",
transform=ax.transAxes,
va="baseline",
ha="left")
ax.text(0.999,
0.999,
"top-right",
transform=ax.transAxes,
va="top",
ha="right")
ax.text(0.999,
0.001,
"bottom-right",
transform=ax.transAxes,
va="baseline",
ha="right")
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
ANNOTATIONS["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
assert equivalent, msg
for no, note in enumerate(renderer.plotly_fig["layout"]["annotations"]):
equivalent, msg = compare_dict(
note, ANNOTATIONS["layout"]["annotations"][no])
assert equivalent, msg
def test_blank_subplots():
fig = plt.figure()
gs = GridSpec(4, 6)
ax1 = fig.add_subplot(gs[0, 1])
ax1.plot(D['x1'], D['y1'])
fig.add_subplot(gs[1, 1])
fig.add_subplot(gs[2:, 1])
fig.add_subplot(gs[0, 2:])
fig.add_subplot(gs[1:3, 2:4])
fig.add_subplot(gs[3, 2:5])
fig.add_subplot(gs[1:3, 4:])
fig.add_subplot(gs[3, 5])
gs.update(hspace=.6, wspace=.6)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict, BLANK_SUBPLOTS['data'][data_no],
ignore=['uid'])
equivalent, msg = compare_dict(d1, d2)
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
BLANK_SUBPLOTS['layout'])
assert equivalent, msg
def test_simple_scatter():
fig, ax = plt.subplots()
ax.scatter(D['x1'], D['y1'])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict, SIMPLE_SCATTER['data'][data_no], ignore=['uid'])
print(d1)
print('\n')
print(d2)
assert d1 == d2
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
SIMPLE_SCATTER['layout'])
assert equivalent, msg
def test_blank_subplots():
fig = plt.figure()
gs = GridSpec(4, 6)
ax1 = fig.add_subplot(gs[0, 1])
ax1.plot(D["x1"], D["y1"])
fig.add_subplot(gs[1, 1])
fig.add_subplot(gs[2:, 1])
fig.add_subplot(gs[0, 2:])
fig.add_subplot(gs[1:3, 2:4])
fig.add_subplot(gs[3, 2:5])
fig.add_subplot(gs[1:3, 4:])
fig.add_subplot(gs[3, 5])
gs.update(hspace=0.6, wspace=0.6)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
BLANK_SUBPLOTS["data"][data_no],
ignore=["uid"])
equivalent, msg = compare_dict(d1, d2)
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
BLANK_SUBPLOTS["layout"])
assert equivalent, msg
def test_double_scatter():
fig, ax = plt.subplots()
ax.scatter(D['x1'], D['y1'], color='red', s=121, marker='^', alpha=0.5)
ax.scatter(D['x2'], D['y2'], color='purple', s=64, marker='s', alpha=0.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig['data']):
d1, d2 = strip_dict_params(data_dict, DOUBLE_SCATTER['data'][data_no], ignore=['uid'])
print(d1)
print('\n')
print(d2)
assert d1 == d2
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
DOUBLE_SCATTER['layout'])
assert equivalent, msg
def test_simple_scatter():
fig, ax = plt.subplots()
ax.scatter(D["x1"], D["y1"])
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
SIMPLE_SCATTER["data"][data_no],
ignore=["uid"])
print(d1)
print("\n")
print(d2)
assert d1 == d2
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
SIMPLE_SCATTER["layout"])
assert equivalent, msg
def test_blank_subplots():
fig = plt.figure()
gs = GridSpec(4, 6)
ax1 = fig.add_subplot(gs[0, 1])
ax1.plot(D['x1'], D['y1'])
fig.add_subplot(gs[1, 1])
fig.add_subplot(gs[2:, 1])
fig.add_subplot(gs[0, 2:])
fig.add_subplot(gs[1:3, 2:4])
fig.add_subplot(gs[3, 2:5])
fig.add_subplot(gs[1:3, 4:])
fig.add_subplot(gs[3, 5])
gs.update(hspace=.6, wspace=.6)
renderer = run_fig(fig)
equivalent, msg = compare_dict(renderer.plotly_fig['layout'],
BLANK_SUBPLOTS['layout'])
assert equivalent, msg
def test_double_scatter():
fig, ax = plt.subplots()
ax.scatter(D["x1"], D["y1"], color="red", s=121, marker="^", alpha=0.5)
ax.scatter(D["x2"], D["y2"], color="purple", s=64, marker="s", alpha=0.5)
renderer = run_fig(fig)
for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
d1, d2 = strip_dict_params(data_dict,
DOUBLE_SCATTER["data"][data_no],
ignore=["uid"])
print(d1)
print("\n")
print(d2)
assert d1 == d2
equivalent, msg = compare_dict(renderer.plotly_fig["layout"],
DOUBLE_SCATTER["layout"])
assert equivalent, msg
def test_strip_style():
fig = Figure(
data=Data([
Scatter(
x=[52698, 43117],
y=[53, 31],
mode='markers',
name='North America',
text=['United States', 'Canada'],
marker=Marker(
color='rgb(164, 194, 244)',
size=12,
line=Line(
color='white',
width=0.5
)
)
),
Scatter(
x=[39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007],
y=[33, 20, 13, 19, 27, 19, 49, 44, 38],
mode='markers',
name='Europe',
text=['Germany', 'Britain', 'France', 'Spain', 'Italy', 'Czech Rep.', 'Greece', 'Poland'],
marker=Marker(
color='rgb(255, 217, 102)',
size=12,
line=Line(
color='white',
width=0.5
)
)
),
Scatter(
x=[42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],
y=[23, 42, 54, 89, 14, 99, 93, 70],
mode='markers',
name='Asia/Pacific',
text=['Australia', 'Japan', 'South Korea', 'Malaysia', 'China', 'Indonesia', 'Philippines', 'India'],
marker=Marker(
color='rgb(234, 153, 153)',
size=12,
line=Line(
color='white',
width=0.5
)
)
),
Scatter(
x=[19097, 18601, 15595, 13546, 12026, 7434, 5419],
y=[43, 47, 56, 80, 86, 93, 80],
mode='markers',
name='Latin America',
text=['Chile', 'Argentina', 'Mexico', 'Venezuela', 'Venezuela', 'El Salvador', 'Bolivia'],
marker=Marker(
color='rgb(142, 124, 195)',
size=12,
line=Line(
color='white',
width=0.5
)
)
)
]),
layout=Layout(
title='Quarter 1 Growth',
autosize=False,
width=500,
height=500,
xaxis=XAxis(
title='GDP per Capita',
showgrid=False,
zeroline=False
),
yaxis=YAxis(
title='Percent',
showline=False
),
margin=Margin(
l=65,
r=50,
b=65,
t=90
)
)
)
print(fig)
print('\n\n')
fig.strip_style()
print(fig)
print('\n\n')
comp_fig = Figure(
data=Data([
Scatter(
x=[52698, 43117],
y=[53, 31],
mode='markers',
name='North America',
text=['United States', 'Canada'],
marker=Marker(
line=Line()
)
),
Scatter(
x=[39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007],
y=[33, 20, 13, 19, 27, 19, 49, 44, 38],
mode='markers',
name='Europe',
text=['Germany', 'Britain', 'France', 'Spain', 'Italy', 'Czech Rep.', 'Greece', 'Poland'],
marker=Marker(
line=Line()
)
),
Scatter(
x=[42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],
y=[23, 42, 54, 89, 14, 99, 93, 70],
mode='markers',
name='Asia/Pacific',
text=['Australia', 'Japan', 'South Korea', 'Malaysia', 'China', 'Indonesia', 'Philippines', 'India'],
marker=Marker(
line=Line()
)
),
Scatter(
x=[19097, 18601, 15595, 13546, 12026, 7434, 5419],
y=[43, 47, 56, 80, 86, 93, 80],
mode='markers',
name='Latin America',
text=['Chile', 'Argentina', 'Mexico', 'Venezuela', 'Venezuela', 'El Salvador', 'Bolivia'],
marker=Marker(
line=Line()
)
)
]),
layout=Layout(
title='Quarter 1 Growth',
width=500,
height=500,
xaxis=XAxis(
title='GDP per Capita'
),
yaxis=YAxis(
title='Percent'
),
margin=Margin(
l=65,
r=50,
b=65,
t=90
)
)
)
equivalent, msg = compare_dict(fig, comp_fig)
print(msg)
assert equivalent
def test_strip_style():
fig = Figure(data=Data([
Scatter(x=[52698, 43117],
y=[53, 31],
mode='markers',
name='North America',
text=['United States', 'Canada'],
marker=Marker(color='rgb(164, 194, 244)',
size=12,
line=Line(color='white', width=0.5))),
Scatter(
x=[39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007],
y=[33, 20, 13, 19, 27, 19, 49, 44, 38],
mode='markers',
name='Europe',
text=[
'Germany', 'Britain', 'France', 'Spain', 'Italy', 'Czech Rep.',
'Greece', 'Poland'
],
marker=Marker(color='rgb(255, 217, 102)',
size=12,
line=Line(color='white', width=0.5))),
Scatter(x=[42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],
y=[23, 42, 54, 89, 14, 99, 93, 70],
mode='markers',
name='Asia/Pacific',
text=[
'Australia', 'Japan', 'South Korea', 'Malaysia', 'China',
'Indonesia', 'Philippines', 'India'
],
marker=Marker(color='rgb(234, 153, 153)',
size=12,
line=Line(color='white', width=0.5))),
Scatter(x=[19097, 18601, 15595, 13546, 12026, 7434, 5419],
y=[43, 47, 56, 80, 86, 93, 80],
mode='markers',
name='Latin America',
text=[
'Chile', 'Argentina', 'Mexico', 'Venezuela', 'Venezuela',
'El Salvador', 'Bolivia'
],
marker=Marker(color='rgb(142, 124, 195)',
size=12,
line=Line(color='white', width=0.5)))
]),
layout=Layout(title='Quarter 1 Growth',
autosize=False,
width=500,
height=500,
xaxis=XAxis(title='GDP per Capita',
showgrid=False,
zeroline=False),
yaxis=YAxis(title='Percent', showline=False),
margin=Margin(l=65, r=50, b=65, t=90)))
print(fig)
print('\n\n')
fig.strip_style()
print(fig)
print('\n\n')
comp_fig = Figure(data=Data([
Scatter(x=[52698, 43117],
y=[53, 31],
mode='markers',
name='North America',
text=['United States', 'Canada'],
marker=Marker(line=Line())),
Scatter(
x=[39317, 37236, 35650, 30066, 29570, 27159, 23557, 21046, 18007],
y=[33, 20, 13, 19, 27, 19, 49, 44, 38],
mode='markers',
name='Europe',
text=[
'Germany', 'Britain', 'France', 'Spain', 'Italy', 'Czech Rep.',
'Greece', 'Poland'
],
marker=Marker(line=Line())),
Scatter(x=[42952, 37037, 33106, 17478, 9813, 5253, 4692, 3899],
y=[23, 42, 54, 89, 14, 99, 93, 70],
mode='markers',
name='Asia/Pacific',
text=[
'Australia', 'Japan', 'South Korea', 'Malaysia', 'China',
'Indonesia', 'Philippines', 'India'
],
marker=Marker(line=Line())),
Scatter(x=[19097, 18601, 15595, 13546, 12026, 7434, 5419],
y=[43, 47, 56, 80, 86, 93, 80],
mode='markers',
name='Latin America',
text=[
'Chile', 'Argentina', 'Mexico', 'Venezuela', 'Venezuela',
'El Salvador', 'Bolivia'
],
marker=Marker(line=Line()))
]),
layout=Layout(title='Quarter 1 Growth',
width=500,
height=500,
xaxis=XAxis(title='GDP per Capita'),
yaxis=YAxis(title='Percent'),
margin=Margin(l=65, r=50, b=65, t=90)))
equivalent, msg = compare_dict(fig, comp_fig)
print(msg)
assert equivalent
