def test_new_card_with_cyc_buf(page: Page):
page['card1'] = dict(data=data(fields=sample_fields, size=-3))
page.save()
expect(
page.load(),
make_page(card1=make_card(
data=make_cyc_buf(fields=sample_fields, data=[None] * 3, i=0))))
async def serve(q: Q):
if not q.client.initialized:
q.client.initialized = True
q.page['pricing'] = ui.plot_card(box='1 1 4 5',
title='Interval',
data=data(fields='product price',
rows=[
['spam', 1.49],
['eggs', 2.49],
['ham', 1.99],
],
pack=True),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
y_min=0)
]),
events=['select_marks'])
q.page['details'] = ui.markdown_card(
box='1 6 4 2',
title='Selected Product',
content='Nothing selected.',
)
await q.page.save()
else:
await handle_on(q)
def get_objects(n_callcenters):
''' Returns a mapping from names to objects representing the cards used in the ui '''
n_categories = 3
objects = dict()
objects['outcomes'] = ui.plot_card(box='1 1 12 5',
title='Outcomes by Call Center',
data=data('country callcenter count',
n_callcenters * n_categories),
plot=ui.plot([
ui.mark(type='interval',
x='=callcenter',
y='=count',
color='=country',
stack='auto',
y_min=0)
]))
for i in range(n_callcenters):
col = (i % 12) + 1
row = (i // 12) * 2 + 6
objects[f'utilcc{i}'] = ui.tall_gauge_stat_card(
box=f'{col} {row} 1 2',
title=f'CC {i:02d} util.',
value=
'={{intl perc style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value='',
plot_color='$green',
progress=0,
data=dict(perc=0))
return objects
async def small_stat_card(q):
cat = 'dog'
val = 1
pc = 0.1
c = q.page.add(
f'example',
ui.small_series_stat_card(
box='1 1 1 1',
title='Verticoin',
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
data=dict(qux=val, quux=pc),
plot_category='foo',
plot_type='interval',
plot_value='qux',
plot_color='$red',
plot_data=data('foo qux', -20),
plot_zero_value=0,
))
await q.page.save()
while val < 1000:
time.sleep(1)
cat, val, pc = cat, val + np.random.randint(0, 10), np.random.rand()
c.data.qux = val
c.data.quux = pc
c.plot_data[-1] = [cat, val]
await q.page.save()
async def draw_weekly_sales_plot(q: Q, plot_data):
v = q.page.add(
'content',
ui.plot_card(
box='4 2 9 9',
title='Walmart Weekly Sales Forecast',
data=data('Date Weekly_Sales data_type', 0),
plot=ui.plot([
ui.mark(
type='point',
x='=Date',
y='=Weekly_Sales',
x_scale='time',
y_min=0,
x_title='Date',
y_title='Weekly Sales (USD)',
color='=data_type',
color_range=' '.join([WaveColors.red, WaveColors.purple]),
size=6,
fill_opacity=0.75,
shape='circle'
)
])
))
v.data = plot_data
await q.page.save()
def __init__(self,
cards_manager: CardsManager,
buffer_rows=15,
expected_value=None,
update_period=3):
super(GeneralCard, self).__init__(width=2, height=1)
self.last_update = time.time()
self.general_stats = 0.0
self.update_period = update_period
self.expected_value = expected_value
self.cards_manager = cards_manager
self.card = cards_manager.page.add(
f'general_stats',
ui.wide_series_stat_card(box=self.gen_box(),
title=f'General',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.card.data.iter_sec = "No data"
def render_positive_pdp_plot(q: Q, shap_rows: List,
selected_row_index: Optional[int]):
max_contrib_col = shap_rows[0][0] if selected_row_index is None else None
is_cat, max_contrib_col, churn_rows = churn_predictor.get_positive_explanation(
selected_row_index, max_contrib_col)
plot = [
ui.mark(type='interval',
x='=label',
y='=size',
x_title=max_contrib_col,
color=q.client.secondary_color,
fill_opacity=0.5),
ui.mark(type='line' if is_cat else 'point',
x='=label',
y='=value',
color=q.client.primary_color,
shape='circle'),
]
if selected_row_index is not None:
plot.append(
ui.mark(x=churn_predictor.get_python_type(df[max_contrib_col]
[selected_row_index])))
q.page['top_positive_plot'] = ui.plot_card(
box='middle',
title='Feature Most Contributing to Churn',
data=data(['label', 'value', 'size'], rows=churn_rows),
plot=ui.plot(plot))
def __init__(self,
thread_num,
cards_manager,
buffer_rows=15,
expected_value=None,
max_boxes_in_line=10,
width=2,
height=1):
super(ThreadSeriesCard, self).__init__(thread_num, max_boxes_in_line,
width, height, cards_manager)
self.expected_value = expected_value
self.card = cards_manager.page.add(
f'thread_{thread_num}_series',
ui.wide_series_stat_card(box=self.gen_box(),
title=f'Thread #{thread_num}',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.card.data.iter_sec = "No data"
def get_sentence_similarity_visualization(self):
"""
Get similarity visualization at sentence level.
Returns:
ui.visualization: Similarity visualization plot
"""
rows = []
for sent_1 in self.doc_1.sents:
for sent_2 in self.doc_2.sents:
rows.append((str(sent_1), str(sent_2), round(float(sent_1.similarity(sent_2)), 2)))
return ui.visualization(
plot=ui.plot([ui.mark(
type='point',
x='=sent_1',
y='=sent_2',
size='=similarity',
shape='circle',
fill_color=self.color
)]),
data=data(
fields=['sent_1', 'sent_2', 'similarity'],
rows=rows,
pack=True
)
)
def test_new_card_with_map_buf(page: Page):
page['card1'] = dict(data=data(fields=sample_fields))
page.save()
expect(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields, data={}))))
def test_load_card_with_fix_buf(page: Page):
page['card1'] = dict(data=data(fields=sample_fields, rows=[[1, 2, 3]]))
page.save()
expect(
page.load(),
make_page(card1=make_card(
data=make_fix_buf(fields=sample_fields, data=[[1, 2, 3]]))))
def test_new_card_with_map_buf():
page = site['/test']
page.drop()
page['card1'] = dict(data=data(fields=sample_fields))
page.save()
assert compare(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields, data={}))))
def test_load_card_with_fix_buf():
page = site['/test']
page.drop()
page['card1'] = dict(data=data(fields=sample_fields, rows=[[1, 2, 3]]))
page.save()
assert compare(
page.load(),
make_page(card1=make_card(
data=make_fix_buf(fields=sample_fields, data=[[1, 2, 3]]))))
def test_new_card_with_cyc_buf():
page = site['/test']
page.drop()
page['card1'] = dict(data=data(fields=sample_fields, size=-3))
page.save()
assert compare(
page.load(),
make_page(card1=make_card(
data=make_cyc_buf(fields=sample_fields, data=[None] * 3, i=0))))
def add_chart(box, title, plot_type='interval'):
return ui.plot_card(box=box,
title=title,
data=data('xvalue yvalue'),
plot=ui.plot([
ui.mark(type=plot_type,
x='=xvalue',
y='=yvalue',
color='=yvalue')
]))
def test_fix_buf_init(page: Page):
c = page.add('card1', dict(data=data(fields=sample_fields, size=3)))
c.data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
page.save()
expect(
page.load(),
make_page(card1=make_card(data=make_fix_buf(
fields=sample_fields,
data=[[1, 2, 3], [4, 5, 6], [7, 8, 9]],
))))
def plotting_data(q: Q):
n = 100
df = pd.DataFrame({
'length':
np.random.rand(n),
'width':
np.random.rand(n),
'data_type':
np.random.choice(a=['Train', 'Test'], size=n, p=[0.8, 0.2])
})
plot_marks = [
ui.mark(type='point',
x='=length',
x_title='Length (cm)',
y='=width',
y_title='Width (cm)',
color='=data_type',
shape='circle')
]
q.page['scatter_plot_card'] = ui.plot_card(
box='1 1 4 4',
title='Scatter Plot from Dataframe',
data=data(
fields=df.columns.tolist(),
rows=df.values.tolist(),
pack=True # Not required
),
plot=ui.plot(marks=plot_marks))
q.page['scatter_viz_form_card'] = ui.form_card(
box='1 5 4 4',
items=[
ui.visualization(
plot=ui.plot(marks=plot_marks),
data=data(
fields=df.columns.tolist(),
rows=df.values.tolist(),
pack=True # required
),
)
])
def render_shap_plot(q: Q, shap_rows: List, selected_row_index: Optional[int]):
q.page['shap_plot'] = ui.plot_card(
box=ui.box('top-plot', height='700px'),
title='Shap explanation' if selected_row_index else 'Global Shap',
data=data(['label', 'value'], rows=shap_rows),
plot=ui.plot([
ui.mark(type='interval',
x='=value',
x_title='SHAP value',
y='=label',
color=q.client.secondary_color)
]))
def test_fix_buf_init():
page = site['/test']
page.drop()
c = page.add('card1', dict(data=data(fields=sample_fields, size=3)))
c.data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_fix_buf(
fields=sample_fields,
data=[[1, 2, 3], [4, 5, 6], [7, 8, 9]],
))))
def test_cyc_buf_init(page: Page):
c = page.add('card1', dict(data=data(fields=sample_fields, size=-3)))
c.data = [[1, 2, 3], [4, 5, 6], [7, 8, 9],
[10, 11, 12]] # insert 4 instead of 3; should circle back
page.save()
expect(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [4, 5, 6], [7, 8, 9]],
i=1,
))))
def test_map_buf_init(page: Page):
c = page.add('card1', dict(data=data(fields=sample_fields)))
c.data = dict(foo=[1, 2, 3], bar=[4, 5, 6], baz=[7, 8, 9])
page.save()
expect(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 8, 9],
)))))
def test_map_buf_write():
page = site['/test']
page.drop()
c = page.add('card1', dict(data=data(fields=sample_fields)))
c.data.foo = [1, 2, 3]
c.data.bar = [4, 5, 6]
c.data.baz = [7, 8, 9]
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 8, 9],
)))))
c.data.baz[1] = 42
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 42, 9],
)))))
c.data.baz[1] = [41, 42, 43]
page.save()
assert compare(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, [41, 42, 43], 9],
)))))
c.data.baz[1][1] = 999
page.save()
assert compare(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, [41, 999, 43], 9],
)))))
def missing_value_plots(q: Q):
plot1 = ui.visualization(
ui.plot(marks=[
ui.mark(type='point',
x=f'=col1',
y=f'=col1',
color='red',
shape='circle',
size=10)
]),
data(fields=['col1'], rows=[[1], [2], [3]], pack=True),
height='20%',
width='90%',
)
# This works
plot2 = ui.visualization(
ui.plot(marks=[
ui.mark(type='point',
x=f'=col1',
y=f'=col1',
color='red',
shape='circle',
size=10)
]),
data(fields=['col1'], rows=[[None], [2], [3]], pack=True),
height='20%',
width='90%',
)
# This fails
# plot3 = ui.visualization(
# ui.plot(marks=[ui.mark(type='point', x=f'=col1', y=f'=col1', color='red', shape='circle', size=10)]),
# data(fields=['col1'], rows=[[np.nan], [2], [3]], pack=True),
# height='20%', width='90%',
# )
q.page['plots'] = ui.form_card(box='1 1 5 -1', items=[plot1, plot2])
def test_map_buf_init():
page = site['/test']
page.drop()
c = page.add('card1', dict(data=data(fields=sample_fields)))
c.data = dict(foo=[1, 2, 3], bar=[4, 5, 6], baz=[7, 8, 9])
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 8, 9],
)))))
def test_cyc_buf_init():
page = site['/test']
page.drop()
c = page.add('card1', dict(data=data(fields=sample_fields, size=-3)))
c.data = [[1, 2, 3], [4, 5, 6], [7, 8, 9],
[10, 11, 12]] # insert 4 instead of 3; should circle back
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [4, 5, 6], [7, 8, 9]],
i=1,
))))
def __init__(self,
thread_num,
max_value,
cards_manager: CardsManager,
buffer_rows=15,
expected_value=None,
max_boxes_in_line=10):
super(ThreadPairCard,
self).__init__(thread_num,
width=2,
height=3,
max_boxes_in_line=max_boxes_in_line,
cards_manager=cards_manager)
self.max_value = max_value
self.expected_value = expected_value
box_1 = self.gen_box()
box_1_list = [int(i) for i in box_1.split()]
box_2 = f'{box_1_list[0]} {box_1_list[1] + 1} {box_1_list[2]} {box_1_list[3]}'
self.series_card = self.cards_manager.page.add(
f'thread_{thread_num}_series_paired',
ui.wide_series_stat_card(box=box_1,
title=f'Thread #{thread_num}',
value='={{iter_sec}}',
aux_value='',
data=dict(iter_sec=0.0),
plot_data=data('tick usage',
-buffer_rows),
plot_category='tick',
plot_value='usage',
plot_zero_value=0,
plot_color='$green',
plot_curve='smooth'))
self.series_card.data.iter_sec = "No data"
self.bar_card = self.cards_manager.page.add(
f'thread_{thread_num}_bar_paired',
ui.wide_bar_stat_card(
box=box_2,
title=f'Thread #{thread_num}',
value='={{value}}',
aux_value='={{pc}}%',
plot_color='$green',
progress=0,
data={
'value': 0,
'pc': 0
},
))
def test_map_buf_write(page: Page):
c = page.add('card1', dict(data=data(fields=sample_fields)))
c.data.foo = [1, 2, 3]
c.data.bar = [4, 5, 6]
c.data.baz = [7, 8, 9]
page.save()
expect(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 8, 9],
)))))
c.data.baz[1] = 42
page.save()
expect(
page.load(),
make_page(card1=make_card(data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, 42, 9],
)))))
c.data.baz[1] = [41, 42, 43]
page.save()
expect(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, [41, 42, 43], 9],
)))))
c.data.baz[1][1] = 999
page.save()
expect(
page.load(),
make_page(card1=make_card(
data=make_map_buf(fields=sample_fields,
data=dict(
foo=[1, 2, 3],
bar=[4, 5, 6],
baz=[7, [41, 999, 43], 9],
)))))
def make_ui_plot(file_path: str):
"""Creates a scatter plot from two random columns in the csv file"""
df = pd.read_csv(file_path)
col1 = df.columns.tolist()[np.random.randint(0, df.shape[1])]
col2 = df.columns.tolist()[np.random.randint(0, df.shape[1])]
df = df.where(pd.notnull(df), None)
plot = ui.visualization(
ui.plot(marks=[ui.mark(type='point', x=f'={col1}', y=f'={col2}', x_title=col1, y_title=col2)]),
data(fields=df.columns.tolist(), rows=df.values.tolist(), pack=True),
)
return plot
def add_interval_card(box, title, value, plot_type='interval'):
return ui.plot_card(box=box,
title=title,
data=data('counts division', 0),
plot=ui.plot([
ui.mark(
type=plot_type,
x='=division',
y='=counts',
y_min=0,
),
ui.mark(x=value,
label='',
ref_stroke_color="#86003c",
ref_stroke_size=2),
]))
def test_cyc_buf_write():
page = site['/test']
page.drop()
c = page.add('card1', dict(data=data(fields=sample_fields, size=-3)))
c.data[0] = [1, 2, 3]
c.data[1] = [4, 5, 6]
c.data[2] = [7, 8, 9]
c.data[100] = [10, 11, 12] # keys don't matter
c.data[101] = [13, 14, 15] # keys don't matter
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [13, 14, 15], [7, 8, 9]],
i=2,
))))
c.data[2][1] = 42
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [13, 14, 15], [7, 42, 9]],
i=2,
))))
c.data[2][1] = [41, 42, 43]
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [13, 14, 15], [7, [41, 42, 43], 9]],
i=2,
))))
c.data[2][1][1] = 999
page.save()
assert compare(
page.load(),
make_page(card1=make_card(data=make_cyc_buf(
fields=sample_fields,
data=[[10, 11, 12], [13, 14, 15], [7, [41, 999, 43], 9]],
i=2,
))))
