Python dash_html_components.H5 Examples
The following are 7
code examples of dash_html_components.H5().
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and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
dash_html_components
, or try the search function
.
.
Example #1
| Source File: prices_app_v2.py From komodo-cctools-python with MIT License | 7 votes |
|
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
Example #2
| Source File: dash_demo_app.py From app_rasa_chat_bot with MIT License | 6 votes |
|
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 ''
Example #3
| Source File: dash_mess.py From socialsentiment with MIT License | 5 votes |
|
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]
Example #4
| Source File: upload-datafile.py From dash-docs with MIT License | 5 votes |
|
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'
})
])
Example #5
| Source File: upload-image.py From dash-docs with MIT License | 5 votes |
|
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'
})
])
Example #6
| Source File: app.py From lantern with Apache License 2.0 | 5 votes |
|
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
Example #7
| Source File: dash_mess.py From socialsentiment with MIT License | 4 votes |
|
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')
