本文整理匯總了Python中dash_html_components.Th方法的典型用法代碼示例。如果您正苦於以下問題：Python dash_html_components.Th方法的具體用法？Python dash_html_components.Th怎麽用？Python dash_html_components.Th使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類dash_html_components的用法示例。
在下文中一共展示了dash_html_components.Th方法的9個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: compute_stats
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def compute_stats(questions: List[Question], db_path):
n_total = len(questions)
n_guesser_train = sum(1 for q in questions if q.fold == 'guesstrain')
n_guesser_dev = sum(1 for q in questions if q.fold == 'guessdev')
n_buzzer_train = sum(1 for q in questions if q.fold == 'buzzertrain')
n_buzzer_dev = sum(1 for q in questions if q.fold == 'buzzerdev')
n_dev = sum(1 for q in questions if q.fold == 'dev')
n_test = sum(1 for q in questions if q.fold == 'test')
columns = ['N Total', 'N Guesser Train', 'N Guesser Dev', 'N Buzzer Train', 'N Buzzer Dev', 'N Dev', 'N Test']
data = np.array([n_total, n_guesser_train, n_guesser_dev, n_buzzer_train, n_buzzer_dev, n_dev, n_test])
norm_data = 100 * data / n_total
return html.Div([
html.Label('Database Path'), html.Div(db_path),
html.H2('Fold Distribution'),
html.Table(
[
html.Tr([html.Th(c) for c in columns]),
html.Tr([html.Td(c) for c in data]),
html.Tr([html.Td(f'{c:.2f}%') for c in norm_data])
]
)
]) 示例2: generate_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def generate_table(dataframe, max_rows=100):
max_value = df.max(numeric_only=True).max()
min_value = df.min(numeric_only=True).max()
rows = []
for i in range(min(len(dataframe), max_rows)):
row = []
for col in dataframe.columns:
value = dataframe.iloc[i][col]
style = cell_style(value, min_value, max_value)
row.append(html.Td(value, style=style))
rows.append(html.Tr(row))
return html.Table(
# Header
[html.Tr([html.Th(col) for col in dataframe.columns])] +
# Body
rows) 示例3: Table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def Table(dataframe):
rows = []
for i in range(len(dataframe)):
row = []
for col in dataframe.columns:
value = dataframe.iloc[i][col]
# update this depending on which
# columns you want to show links for
# and what you want those links to be
if col == 'id':
cell = html.Td(html.A(href=value, children=value))
else:
cell = html.Td(children=value)
row.append(cell)
rows.append(html.Tr(row))
return html.Table(
# Header
[html.Tr([html.Th(col) for col in dataframe.columns])] +
rows
) 示例4: generate_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def generate_table(df, max_rows=10):
return html.Table(className="responsive-table",
children=[
html.Thead(
html.Tr(
children=[
html.Th(col.title()) for col in df.columns.values],
style={'color':app_colors['text']}
)
),
html.Tbody(
[
html.Tr(
children=[
html.Td(data) for data in d
], style={'color':app_colors['text'],
'background-color':quick_color(d[2])}
)
for d in df.values.tolist()])
]
) 示例5: display
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def display(btn1, btn2, btn3):
ctx = dash.callback_context
if not ctx.triggered:
button_id = 'No clicks yet'
else:
button_id = ctx.triggered[0]['prop_id'].split('.')[0]
ctx_msg = json.dumps({
'states': ctx.states,
'triggered': ctx.triggered,
'inputs': ctx.inputs
}, indent=2)
return html.Div([
html.Table([
html.Tr([html.Th('Button 1'),
html.Th('Button 2'),
html.Th('Button 3'),
html.Th('Most Recent Click')]),
html.Tr([html.Td(btn1 or 0),
html.Td(btn2 or 0),
html.Td(btn3 or 0),
html.Td(button_id)])
]),
html.Pre(ctx_msg)
]) 示例6: generate_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def generate_table(dataframe, max_rows=10):
return html.Table(
# Header
[html.Tr([html.Th(col) for col in dataframe.columns])] +
# Body
[html.Tr([
html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
]) for i in range(min(len(dataframe), max_rows))]
) 示例7: create_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def create_table(df):
columns = ['Magnitude', 'Latitude', 'Longitude', 'Time', 'Place', 'Detail']
num_rows = data['metadata']['count']
thead = html.Thead(html.Tr([html.Th(col) for col in columns]))
table_rows = list()
for i in range(num_rows):
tr = html.Tr(
children=list(map(functools.partial(create_td, df.iloc[i]),
columns)))
table_rows.append(tr)
tbody = html.Tbody(children=table_rows)
table = html.Table(children=[thead, tbody], id='my-table')
return table 示例8: generate_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def generate_table(dataframe, max_rows=10):
return html.Table([
html.Thead(
html.Tr([html.Th(col) for col in dataframe.columns])
),
html.Tbody([
html.Tr([
html.Td(dataframe.iloc[i][col]) for col in dataframe.columns
]) for i in range(min(len(dataframe), max_rows))
])
]) 示例9: html_table
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import Th [as 別名]
def html_table(
df,
base_column_style={},
table_style={},
column_style={},
cell_style={},
cell_style_by_column={},
header_style={},
header_style_by_column={},
row_style={},
row_style_by_index={},
odd_row_style={},
conditional_cell_style=(lambda cell, column: {})
):
header = []
for column in df.columns:
header.append(
html.Th(
column,
style=merge(
row_style,
base_column_style,
cell_style,
column_style.get(column, {}),
header_style,
header_style_by_column.get(column, {}),
),
)
)
rows = []
for i in range(len(df)):
row = []
for column in df.columns:
row.append(
html.Td(
df.iloc[i][column],
style=merge(
row_style,
row_style_by_index.get(i, {}),
odd_row_style if i % 2 == 1 else {},
cell_style,
cell_style_by_column.get(column, {}),
conditional_cell_style(df.iloc[i][column], column)
),
)
)
rows.append(html.Tr(row))
return html.Table(
[html.Thead(header), html.Tbody(rows)],
style=merge(table_style, {"marginTop": "20px", "marginBottom": "20px"}),
)