本文整理匯總了Python中dash_html_components.H5屬性的典型用法代碼示例。如果您正苦於以下問題：Python dash_html_components.H5屬性的具體用法？Python dash_html_components.H5怎麽用？Python dash_html_components.H5使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類dash_html_components的用法示例。
在下文中一共展示了dash_html_components.H5屬性的7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: update_position_selection
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def update_position_selection(rows,derived_virtual_selected_rows):
if derived_virtual_selected_rows is None:
derived_virtual_selected_rows = []
if rows is None:
dff3 = df3
else:
dff3 = pd.DataFrame(rows)
try:
active_row_txid = dff3['txid'][derived_virtual_selected_rows[0]]
return html.Div([
html.H5("Selected position: " + active_row_txid),
html.Div(id='active_row_txid', children=active_row_txid, style={'display': 'none'})
]
)
except Exception as e:
pass
# addfunding button callback 示例2: update_conversation
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def update_conversation(click, text):
global conv_hist
# dont update on app load
if click > 0:
# call bot with user inputted text
response, generic_response = utils.bot.respond(
text,
interpreter,
app_data_path
)
# user message aligned left
rcvd = [html.H5(text, style={'text-align': 'left'})]
# bot response aligned right and italics
rspd = [html.H5(html.I(r), style={'text-align': 'right'}) for r in response]
if generic_response:
generic_msg = 'i couldn\'t find any specifics in your message, here are some popular apps:'
rspd = [html.H6(html.I(generic_msg))] + rspd
# append interaction to conversation history
conv_hist = rcvd + rspd + [html.Hr()] + conv_hist
return conv_hist
else:
return '' 示例3: update_related_terms
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def update_related_terms(sentiment_term):
try:
# get data from cache
for i in range(100):
related_terms = cache.get('related_terms', sentiment_term) # term: {mean sentiment, count}
if related_terms:
break
time.sleep(0.1)
if not related_terms:
return None
buttons = [html.Button('{}({})'.format(term, related_terms[term][1]), id='related_term_button', value=term, className='btn', type='submit', style={'background-color':'#4CBFE1',
'margin-right':'5px',
'margin-top':'5px'}) for term in related_terms]
#size: related_terms[term][1], sentiment related_terms[term][0]
sizes = [related_terms[term][1] for term in related_terms]
smin = min(sizes)
smax = max(sizes) - smin
buttons = [html.H5('Terms related to "{}": '.format(sentiment_term), style={'color':app_colors['text']})]+[html.Span(term, style={'color':sentiment_colors[round(related_terms[term][0]*2)/2],
'margin-right':'15px',
'margin-top':'15px',
'font-size':'{}%'.format(generate_size(related_terms[term][1], smin, smax))}) for term in related_terms]
return buttons
except Exception as e:
with open('errors.txt','a') as f:
f.write(str(e))
f.write('\n')
#recent-trending div
# term: [sent, size] 示例4: parse_contents
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def parse_contents(contents, filename, date):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
try:
if 'csv' in filename:
# Assume that the user uploaded a CSV file
df = pd.read_csv(
io.StringIO(decoded.decode('utf-8')))
elif 'xls' in filename:
# Assume that the user uploaded an excel file
df = pd.read_excel(io.BytesIO(decoded))
except Exception as e:
print(e)
return html.Div([
'There was an error processing this file.'
])
return html.Div([
html.H5(filename),
html.H6(datetime.datetime.fromtimestamp(date)),
dash_table.DataTable(
data=df.to_dict('records'),
columns=[{'name': i, 'id': i} for i in df.columns]
),
html.Hr(), # horizontal line
# For debugging, display the raw contents provided by the web browser
html.Div('Raw Content'),
html.Pre(contents[0:200] + '...', style={
'whiteSpace': 'pre-wrap',
'wordBreak': 'break-all'
})
]) 示例5: parse_contents
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def parse_contents(contents, filename, date):
return html.Div([
html.H5(filename),
html.H6(datetime.datetime.fromtimestamp(date)),
# HTML images accept base64 encoded strings in the same format
# that is supplied by the upload
html.Img(src=contents),
html.Hr(),
html.Div('Raw Content'),
html.Pre(contents[0:200] + '...', style={
'whiteSpace': 'pre-wrap',
'wordBreak': 'break-all'
})
]) 示例6: get_header
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def get_header():
header = html.Div([
html.Div([
html.H5(
'Vanguard 500 Index Fund Investor Shares')
], className="twelve columns padded")
], className="row gs-header gs-text-header")
return header 示例7: update_recent_trending
# 需要導入模塊: import dash_html_components [as 別名]
# 或者: from dash_html_components import H5 [as 別名]
def update_recent_trending(sentiment_term):
try:
query = """
SELECT
value
FROM
misc
WHERE
key = 'trending'
"""
c = conn.cursor()
result = c.execute(query).fetchone()
related_terms = pickle.loads(result[0])
## buttons = [html.Button('{}({})'.format(term, related_terms[term][1]), id='related_term_button', value=term, className='btn', type='submit', style={'background-color':'#4CBFE1',
## 'margin-right':'5px',
## 'margin-top':'5px'}) for term in related_terms]
#size: related_terms[term][1], sentiment related_terms[term][0]
sizes = [related_terms[term][1] for term in related_terms]
smin = min(sizes)
smax = max(sizes) - smin
buttons = [html.H5('Recently Trending Terms: ', style={'color':app_colors['text']})]+[html.Span(term, style={'color':sentiment_colors[round(related_terms[term][0]*2)/2],
'margin-right':'15px',
'margin-top':'15px',
'font-size':'{}%'.format(generate_size(related_terms[term][1], smin, smax))}) for term in related_terms]
return buttons
except Exception as e:
with open('errors.txt','a') as f:
f.write(str(e))
f.write('\n')