def display_output(n_clicks):
if n_clicks > 0:
return html.Div([
html.Div(id='datatable-output'),
DataTable(id='datatable', rows=[{
'Column 1': i
} for i in range(5)])
])
def display_config(value):
parameters = 'parameters.txt'
filepath = path + value + '/' + parameters
lines = load_file(filepath)
return html.Div([
html.Div(id='config_output'),
DataTable(id='datatable', rows=[{
'Key': line
} for line in lines])
])
def lerz_hypos():
return Col([
Row(Col(H3('Seismicity', style=dict(textAlign='center')))),
Row([
Col(dcc.RadioItems(id='lerz-hypos-radio',
options=[{
'label': 'Time',
'value': 'T'
}, {
'label': 'Depth',
'value': 'A'
}],
value='A'),
bp='md',
size=6,
**dict(className='text-center')),
Col(dcc.Dropdown(id='lerz-seismic-time-dropdown',
options=[{
'label': i.split('_')[1],
'value': PERIODS[i]
} for i in sorted(list(PERIODS.keys()))],
value=28800000,
searchable=False,
clearable=False),
bp='md',
size=2)
]),
Row([
Col(
Col([
Iframe(id='lerz-hypos-plot',
srcDoc='',
width='100%',
height=400),
Img(id='lerz-hypos-legend', src='', width='100%')
],
bp='md',
size=11,
**dict(className='offset-md-1'))),
Col(
Col(DataTable(
rows=[{}],
columns=('date', 'lat', 'lon', 'depth', 'prefMag'),
column_widths=[None, 125, 125, 75, 75],
filterable=True,
sortable=True,
id='lerz-datatable-hypos'),
bp='md',
size=11))
])
],
bp='md',
size=12)
def main_layout_header():
"""Dash layout with a top-header"""
return Div([
Div(id="header",
children=[
Header(),
Div(id=server.config['NAVBAR_CONTAINER_ID']),
]),
Div(className='container-fluid',
children=Row(Col(id=server.config['CONTENT_CONTAINER_ID']))),
dcc.Location(id='url', refresh=False),
Div(DataTable(rows=[{}]), style={'display': 'none'})
])
def display_vehicular_data(last_readings):
print("LAST", last_readings)
if last_readings is None:
# button hasn't been clicked as yet
return ''
now = time.time()
duration = 30 # last 30s of readings
db_conn = sqlite3.connect(DB_FILE)
df = pd.read_sql_query(
'SELECT Timestamp, EncryptedData '
'FROM {} '
#'WHERE Timestamp > "{}" AND Timestamp <= "{}" '
'ORDER BY Timestamp DESC;'.format(DB_NAME), #, now - duration, now),
db_conn)
rows = df.to_dict('rows')
return html.Div([
html.Div(id='datatable-output'),
DataTable(
id='datatable',
rows=rows,
)
])
import dash
from dash.dependencies import Input, Output
import dash_html_components as html
import dash_core_components as dcc
from dash_table_experiments import DataTable
import json
app = dash.Dash()
app.config['suppress_callback_exceptions'] = True
app.layout = html.Div([
html.Button(id='button', n_clicks=0, children='Show table'),
html.Div(id='content'),
html.Div(DataTable(rows=[{}]), style={'display': 'none'})
])
@app.callback(Output('content', 'children'), [Input('button', 'n_clicks')])
def display_output(n_clicks):
if n_clicks > 0:
return html.Div([
html.Div(id='datatable-output'),
DataTable(id='datatable', rows=[{
'Column 1': i
} for i in range(5)])
])
@app.callback(Output('datatable-output', 'children'),
[Input('datatable', 'rows')])
def update_output(rows):
return html.Pre(json.dumps(rows, indent=2))
],
style={
'width': '23%',
'height': '500px',
'float': 'inline-start',
'padding': '0em 0.5em',
'display': 'inline-block',
'backgroundColor': 'mintcream',
'border': '1px #ccc solid',
'border-radius': '5px'
}),
html.Div([
html.Div(id='content'),
html.Div(DataTable(rows=[{}],
id='table',
filterable='True',
min_height=20,
max_rows_in_viewport='900'),
style={'display': 'none'}),
],
style={
'flex': '3',
'margin': '5px',
})
],
style={
'display': 'flex',
'align-items': 'flex-start'
})
],
style={'backgroundColor': 'orange'})
def display_output(btn0, btn1, btn2, btn3, btn4, btn5, btn6, btn7, btn8, btn9,
btn10, btn11, btn12):
j = [
int(btn0),
int(btn1),
int(btn2),
int(btn3),
int(btn4),
int(btn5),
int(btn6),
int(btn7),
int(btn8),
int(btn9),
int(btn10),
int(btn11),
int(btn12)
]
if j[0] == max(j):
return html.Div([
dcc.Markdown('''Welcome to Talent-Bridge Africa'''),
dcc.Markdown('''Start your journey today'''),
dcc.Markdown(
'''click on the checklist and select your prefered options to activate the buttons'''
),
dcc.Markdown('''@2018'''),
DataTable(rows=[{}])
])
elif j[1] == max(j):
return html.Div([
DataTable(
rows=know_1.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=10,
resizable=True,
column_widths=[])
])
elif j[2] == max(j):
# df_skills = pd.read_sql(skills, conn)
return html.Div([
DataTable(
rows=skl_1.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=10,
resizable=True,
column_widths=[])
])
elif j[3] == max(j):
# df_abilities = pd.read_sql(abilities, conn)
return html.Div([
DataTable(
rows=able_1.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=10,
resizable=True,
column_widths=[])
])
elif j[4] == max(j):
df_interests = pd.read_sql(interests, conn)
return html.Div([
DataTable(
rows=df_interests.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[5] == max(j):
return html.Div([
DataTable(
rows=[{}],
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[6] == max(j):
df_t2 = pd.read_sql(t2, conn)
return html.Div([
DataTable(
rows=df_t2.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[7] == max(j):
return html.Div([
DataTable(
rows=[{}],
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[8] == max(j):
return html.Div([
DataTable(
rows=[{}],
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[9] == max(j):
df_titles = pd.read_sql(titles, conn)
return html.Div([
DataTable(
rows=df_titles.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[10] == max(j):
df_alternate = pd.read_sql(alternate, conn)
return html.Div([
DataTable(
rows=df_alternate.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[11] == max(j):
df_desc = pd.read_sql(desc, conn)
return html.Div([
DataTable(
rows=df_desc.to_dict('records'),
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
elif j[12] == max(j):
return html.Div([
DataTable(
rows=[{}],
row_selectable=True,
filterable=True,
sortable=True,
selected_row_indices=[],
# max_rows_in_viewport=12,
resizable=True,
column_widths=[])
])
else:
return html.Div([dash_table.DataTable(rows=[{}])])
html.Td(children=[
html.Table(id='const_table',
children=[
html.Tr(children=[
html.Td(children='Constraints', className='section_Heading'),
html.Td(colSpan='3')]),
html.Tr(children=[
html.Td(children=[
dcc.Dropdown(id='dd_const_type', clearable=False, value='TEAM SIZE',
options=[{'label': 'TEAM SIZE', 'value': 'TEAM SIZE'},
{'label': 'STATS', 'value': 'STATS'},
{'label': 'POKE TYPES', 'value': 'POKE TYPES'}],
style={'width': '180px'})]),
html.Td(children=[
html.Div(children=[
DataTable(id='dt_constraints', sortable=False, editable=False, rows=[{}],
row_selectable=True, columns=['LEFT HAND SIDE','SIGN','RIGHT HAND SIDE'])],
style={'width': '600px', 'display': 'inline-block'})],
rowSpan='6', colSpan='3')]),
html.Tr(children=[
html.Td(children=dcc.Dropdown(id='dd_const_lhs', clearable=False, value='# OF POKEMON', style={'width': '180px'},
options=[{'label': '# OF POKEMON', 'value': '# OF POKEMON'}]))]),
html.Tr(children=[
html.Td(children=dcc.Dropdown(id = 'dd_const_sign', clearable=False, value='<=', style={'width': '180px'},
options=[{'label': '≤', 'value': '<='},{'label': '≥', 'value': '>='}]))]),
html.Tr(children=[
html.Td(children=dcc.Input(id='txtbox_const_rhs', placeholder='',type='number', value=0, max=9999, min=0, style={'width': '180px'}))]),
html.Tr(children=[
html.Td(html.Button('ADD CONSTRAINT', id='btn_add_constraint'))]),
html.Tr(children=
[html.Td(html.Button('REMOVE CONSTRAINT', id='btn_remove_constraint', style={'background-color': 'lightgray'}))])])],
colSpan='4', rowSpan='7', style={'width': '800px'}),
def get_latest_datatable(df: pd.DataFrame) -> DataTable:
rows = df.sort_values(by='timestamp', ascending=False).to_dict('rows')
return DataTable(id='latest-data-table', rows=rows, editable=False)